Chapter ONE 1. Introduction Amino acids, the building block of proteins, are used as raw materials in various cellular processes, such as energy generation, nitrogen metabolism, cell wall synthesis and intracellular communication (Stryer et al., 2002). In addition to these, they are widely used in both human and livestock consumption. Amino acids are generally produced by one of four different methods: hydrolysis of natural proteins, chemical synthesis, enzymatic synthesis and bacterial fermentation. However, the fermentative production of amino acids has been established in industry due to its low production cost. In the case of microbial fermentation, cheap carbon and nitrogen sources (molasses and ammonia, respectively) are frequently used as raw materials (Ikeda, 2002). Furthermore, the production of these building blocks by fermentation yields optically active and biologically desired L-form of amino acids. The economic importance of amino acids is enormous since they are used as flavouring agents, food additives, feed supplements and raw materials for the synthesis of cosmetics, shampoos, toothpaste (Eggeling and Sahm, 1999; Leuchtenberger, 1996; Mueller and Huebner, 2002). Due to their high variety of applications, the demand for these amino acids is constantly increasing. Hence, extensive studies on the understanding and improving the metabolic conditions leading to amino acids overproduction have been undertaken in order to increase the yield and productivity (Kramer, 1996; 2004; Sahm et al., 1995). At present, most of the essential L-amino acids are industrially produced by Corynebacteria fermentation. Corynebacterium glutamicum, a short, aerobic, rod shaped, Gram-positive soil bacterium, is capable of growing on a minimal medium. Taxonomically, Corynebacteria are closely related to Mycobacteria, and they belong to the mycolic acid containing actinomycetes (Kalinowski et al., 2003). The Japanese scientist Kinoshita and his co-workers discovered C. glutamicum (originally named Micrococcus glutamicus) as a potential microorganism for the production of amino acids because of its ability to excrete L-glutamic acid into the surrounding medium under specific growth condition (Kinoshita et al., 1957). Since then, C. glutamicum is regarded as an efficient L-glutamate secreting microorganism. Under favourable growth conditions, this bacterium converts 100g l-1 glucose to 50g l-1 L-glutamic acid. At present, 1,000,000 1 tons of L-glutamate and 450,000 tons of L-lysine are produced per year by Corynebacteria fermentation. In addition, L-alanine, L-isoleucine and L-proline are also produced industrially (Kalinowski et al., 2003; Kramer, 2004). During amino acid fermentation by Corynebacteria, an appropriate substrate (glucose, for example) is taken up by cells through the involvement of different uptake systems (phosphotransferase systems, PTSs). The substrate is subsequently entered into the central metabolic pathways (glycolysis, pentose phosphate pathways, tricarboxylic acid cycle) of these bacteria, converted to metabolic intermediates within cells, and is finally branched off to a particular amino acid biosynthetic pathway (Ikeda, 2002). In recombinants of Corynebacteria, the biosynthetic pathways of a particular amino acid are altered in such a way that results in increase of internal amino acid concentration. This is mainly achieved by the following strategies i) by increasing the activity of anabolic enzymes ii) by altering the regulatory enzymes or pathways (loss of feedback control) iii) by blocking the pathways leading to by-products and iv) by blocking the pathways responsible for product degradation in the cytosol. However, the increase of membrane permeability of Corynebacteria is the most important feature for the efficient secretion/production of amino acid, especially L-glutamate. The secretion/excretion of a particular amino acid into the extracellular medium is generally accomplished either by diffusion or by treating the Corynebacteria strains with an agent or with the aid of a carrier system (Kramer, 1994). It is well known that the cell wall of Corynebacteria has a complex structure since it is formed by thick meso-diaminopimelic acids containing peptidoglycans that are covalently linked to arabinogalactan (Brennan and Nikaido, 1995). Besides the thick peptidoglycan layer, it also contains large amount of lipids in the form of mycolic acid (Lichtinger et al., 2001). The multilayer arrangement of different phospholipids and peptidoglycan contributes extremely low cell wall permeability. However, the wild strains of Corynebacteria are not suitable for the production of amino acids under normal growth conditions. Hence, several treatments that affect the cell membrane by limiting the synthesis of phospholipids and membrane components have been employed in order to induce the membrane permeability of this bacterium (Kramer, 1996; 2004). For Lglutamate efflux, C. glutamicum has been grown on biotin limitation (Shiio et al., 1962); by the addition of surfactant (Duperray et al., 1992; Takinami et al., 1965; 1968); beta2 lactam antibiotic, penicillin (Demain and Birnbaum, 1968; Ikeda et al., 1972); ethambutol (Radmacher et al., 2005) and oleic acid or glycerol (Kanzaki et al., 1967; Okazaki et al., 1967). All of these perturbations directly attack to the cell wall of Corynebacteria, result in changes in the composition of cell wall material and eventually increase the Lglutamate efflux (Eggeling and Sahm, 2001; Kramer, 1994). However, it has been mentioned that the main reasons that result in secreting of amino acids in extracellular environment are (i) a dramatic increase of internal amino acid concentration; (ii) a fundamental change in the permeability properties of the cell membrane; or (iii) a defect in the corresponding uptake system that normally counteracts the efflux of a particular amino acid (Kramer, 1994). Apart from these treatments, several other procedures, such as mutagenesis, screening, specific changes in both genetic and enzymatic levels have been applied in order to develop mutants/recombinants with desirable characteristics (Jetten and Sinskey, 1995b; Nampoothiri and Pandey, 1998; Parekh et al., 2000). In general, the improvement of amino acid producing Corynebacteria strains is carried out by an iterative procedure of mutagenesis and selection. Mutagenic procedures are optimised in terms of mutagen and dose applied. Selection procedures are designed in order to identify the desirable mutants with maximum expression (Nampoothiri and Pandey, 1998). Genetic engineering is also applied to overexpress or repress the characteristics of a particular gene, and thereby new strains with desired genotypes are constructed (Sahm et al., 1995). To obtain high yield and productivity of an amino acid, however, it is necessary to investigate the detailed information of metabolic pathways and their regulation under different environmental conditions. Hence, metabolic engineering and metabolic flux analysis are recently applied in order to quantify the biochemical fluxes leading to the intermediates or metabolites of central metabolic pathways of this organism (Stephanopoulos et al., 1998). In comparison to the modern techniques applied for the characterization and manipulation of metabolic pathways (Sahm et al., 1995; 2000), however, relatively few studies have been conducted in order to elucidate the efflux or secretion of these amino acids into the surrounding medium. Electroporation, a well-established physical process dealing with living cells (Chang et al., 1992; Neumann et al., 1989; Teissie et al., 2002; 2005; Tsong, 1991; Weaver and Chizmadzhev, 1996), is involved with a rapid structural rearrangement of cell 3 membrane in response to an externally applied electric field resulting in pore formation in the lipid bilayer within a short period of time (Chernomordik et al., 1987; Haest et al., 1997; Teissie and Tsong, 1981). The opening of transient aqueous pores provides a way to transfer ions and water-soluble molecules across the cell membrane (Prausnitz et al., 1995; Sixou and Teissie, 1993; Tekle et al., 1994). In addition, free diffusion is observed even with dextrans and oligonucleotides, molecular weights up to 4kD (Teissie et al., 1999). Electroporation has been studied over the past two decades due to its numerous applications in cellular biology and biotechnology, especially for the purpose of gene transfer and loading of cells with extracellular molecules (Golzio et al., 2004; Faurie et al., 2005; Mir et al., 1999; Neumann et al., 1982; Rols, 2006; Somiari et al., 2000). In addition, the application of this technique in gene therapy, cancer therapy and transdermal drug delivery has given a new approach to treating complicated diseases (Heller et al., 1999; Mir and Orlowski, 1999; Mir et al., 1991; Orlowski and Mir, 1993). Apart from those applications mentioned above, electroporation has been found to be effective in non-thermal food pasteurization (Angersbach et al., 2000; Wouters and Smelt, 1997), selective release of intracellular proteins from recombinant Escherichia coli (Ohshima et al., 1999; 2000; Ohshima and Sato, 2004) and Saccharomyces cerevisiae (Ohshima et al., 1995) and Kluyveromyces lactis (Ganeva and Galutzov, 1999, Ganeva et al., 2001). There are two types of electroporation that are extensively applied in biosciences i.e., reversible electroporation and irreversible electroporation. Reversible electroporation refers to the process of treating living cells by a moderate strength of electric field in which transient pores are formed on the cell membrane, and thus the membrane is reversibly permeabilized (Faurie et al., 2005; Hapala, 1997; Teissie et al., 1999). However, electropores that are usually observed on the cell membrane within one minute of pulsation can either be resealed within short period of time or remain open for a longer period depending on the voltage and number of pulses applied to the cell suspension (Chang et al., 1992; Faurie et al., 2005; Weaver, 1995). It has been demonstrated that pulsed cells usually recover their original permeability within 30min of incubation at room temperature (RT) (Kinosita and Tsong, 1977; Teissie et al., 1999). This phenomenon has been extensively used in molecular biology and biotechnology, especially for the transformation of bacteria using foreign genes (Golzio et al., 2004; Jaroszeski et al., 1999; Neumann et al., 1982). The genetic transformation of Corynebacteria has been successfully conducted by high voltage electroporation where an 4 occurence of reversible membrane permeabilization is observed (Bonamy et al., 1990; Dunican and Shivnan, 1989; Liebl et al., 1989; Wolf et al., 1989). On the other hand, irreversible electroporation, the application of high intensity electric field causing permanent breakdown of cell membrane, is used to deactivate microorganisms (Angersbach et al., 2000; Schoenbach et al., 2000). Barbosa-Canovas et al. (1999) demonstrated that the application of pulsed electric field is one of the most relevant nonthermal processes for food preservation without altering their organoleptic and nutritional properties. In addition, Ohshima and Sato (2004) carried out an effective bacterial sterilization using high intensity electric pulses in which an induced irreversible disruption of biological membranes occurred, eventually leading to cell death. However, the mechanisms involved in electroporation still remain unclear. Although it has been suggested that hydrophilic pores are formed in the lipid matrix (Haest et al., 1997; Neumann et al., 1989; Teissie and Tsong, 1981), their existence has never been clearly shown. The molecular processes involved during electroporation are not fully understood due to the complex nature of the cell membrane, although many theoretical studies have been conducted on the formation of pores under the influence of an electric field (Chernomordik et al., 1987). Nevertheless, it is obvious that electric field intensity, number and duration of pulses are the crucial factors for successful electroporation. Hence, the stimulation factors have to be tightly controlled and optimized, especially when working with an uncharacterized strain. Without adjusting those parameters, cells may not return into their normal physiological state, and eventually lose their viability. Although killing of cells by electropulsation is vital in the case of irreversible permeabilization, it is mandatory to maintain cell viability as high as possible while a reversible electropermeabilization is accomplished either for genetic transformation or bioprocessing. The production of heterologous proteins in bacteria and yeast using recombinant DNA technology is already well-established in the biotech industry. However, the isolation of recombinant proteins from hosts is not straightforward as the foreign proteins are not usually secreted into the surrounding medium. More specifically, E. coli produces foreign protein as an inclusion body that needs to be disrupted in order to obtain the protein of interest. In most cases, cell disruption is performed by ultrasonication or homogenization for the recovery of recombinant proteins. Using these techniques, 5 however, complete destruction of cells makes the purification process of desired protein complicated, and ultimately the process turns into an expensive bioprocess. Moreover, the recombinant proteins are generally contaminated with the other host proteins during their isolation. As these proteins are used for medical purposes or human consumption, they should be free from other host proteins, particularly pyrogen (Hermann, 2003). To resolve this problem, researchers have been trying to develop an alternative strategy for the bioprocess industries. However, two most important facts concerned with these industrially important bacteria have been demonstrated in the literature. Firstly, C. glutamicum is one of the most important microorganisms in amino acids production, and L-glutamate production is caused by cultivating this bacterium under certain growth conditions, such as biotin limitation, surfactant addition and penicillin addition (Kramer, 1996; 2004). Secondly, the construction of Corynebacteria recombinants, for the enhancement of yield and productivity of amino acids, is successfully carried out by electrotransformation (Bonamy et al., 1990; Dunican and Shivnan, 1989; Liebl et al., 1989), where a reversible permeabilization of cell membrane is observed. Furthermore, electroporation that creates pores on the cell membrane of microorganisms enhances the selective release of proteins and enzymes from cells (Ohshima et al., 1999; 2000; Ohshima and Sato, 2004; Ganeva and Galutzov, 1999, Ganeva et al., 2001). Although different treatments and extensive investigations towards the genetic engineering of Corynebacteria have been conducted in order to increase the yield and productivity of L-glutamate, no research has been carried out on the electropermeabilization of these bacteria for the enhancement of L-glutamic acid production so far. Based on the above literature, it is hypothesised that electroporation may be a potential approach by which an appropriate strength of electric pulse will be applied to the cell suspension or fermentation broth of Corynebacteria in which the production of L-glutamate is secured by the above-mentioned treatments, and hence the secretion ability of L-glutamate could be enhanced through the membrane permeabilization. This study is focused on the production of L-glutamate by the different strains of Corynebacteria (Brevibacterium lactofermentum, Micrococcus glutamicus and B. flavum) using different treatments, such as biotin limitation, surfactant addition and ethambutol addition. While developing a suitable method for the production of this amino acid in M. 6 glutamicus, the growth studies (OD600nm), glucose consumption and L-glutamate production in presence of a range of biotin concentrations (0-200µg l-1), under the addition of different concentrations of surfactants [Tween 20 (4g l-1), Tween 80 (4g l-1) and Tween 40 (1-4g l-1)] at two different growth points of fermentation (both start and exponential), and in presence of a range of ethambutol concentrations (0-500mg l-1) will be investigated. Furthermore, a very simple and easily accessible method based on centrifugation will be developed in which L-glutamate is separated with a purity of more than 90% from the fermentation broth. In this research, a study on the utilization of pulsed electric field (transient electroporation) during L-glutamate fermentation by M. glutamicus is considered in order to improve the yield of this amino acid, and thereby intensify the bioprocessing. Beside L-glutamate, the effect of electric pulses on the release of malate dehydrogenase (MDH, cytoplasmic enzyme), glutamate dehydrogenase (GDH, ammonia assimilating enzyme) and total protein will be investigated. In addition, the effect of electroporation factors, such as cellular (growth phase and cell wall rigidity), electrical (field strength, capacitance, number of pulses and pulse gap/resting time in the case of multiple pulsing) and physiochemical (medium conductivity, ionic concentration of electroporation buffer and temperature) on the membrane permeabilization as well as the viability of M. glutamicus will be examined. An attempt will be made in order to assess the permeabilization of electric field treated Corynebacterial cells by Bleomycin (antitumor agent). Furthermore, the effect of hyperosmotic conditions (addition of 0.51.5M NaCl into Seed Medium) on the growth of M. glutamicus, L-glutamate production and the activities of MDH, GDH and total protein will be investigated. It will also be examined whether addition of compatible solutes (glycine betaine and proline) has any notable influence on M. glutamicus growth. The outline of this thesis is as follows- Chapter 2 contains literature reviews regarding Corynebacteria (taxonomy and cell wall composition, central metabolism, anaplerortic pathways, uptake and ammonia assimilation, and metabolic engineering); industrial production of amino acids by microbial fermentation and the mechanism of L-glutamate efflux under different growth conditions; and the theory of electroporation or electropermeabilization, importance of 7 this approach in biotechnology and factors associated with the successful permeabilization. Chapter 3 describes the production of L-glutamate in three different strains of Corynebacteria (B. lactofermentum, M. glutamicus and B. flavum) under several growth conditions i.e., biotin limited (1µg l-1), surfactant (Tween 40, 2g l-1) addition and ethambutol (100mg l-1) addition. A range of biotin or Tween 40 or ethambutol concentrations is added in order to determine the optimum amount of agent required for the highest production of L-glutamate. A simple method based on centrifugation is developed for the purification of L-glutamate (90%) from the fermentation broth. Chapter 4 represents the application of electropermeabilization for the enhancement of L-glutamate secretion produced under biotin limited fermentation of M. glutamicus. The effectiveness of electric pulse for the extraction of cytoplasmic enzymes (MDH and GDH) and total protein of both M. glutamicus and E. coli is also investigated. Chapter 5 demonstrates the effect of different factors associated with the electroporation on cell viability (both M. glutamicus and E. coli) and membrane permeabilization. Whether the Bleomycin based method is applicable in accessing the membrane permeabilization of M. glutamicus after electroporation is also investigated. Chapter 6 depicts the osmotic stress associated during amino acid production and demonstrates the effect of hyperosmotic stress on the growth and viability of M. glutamicus, L-glutamate production and cytoplasmic enzymes or protein level. Chapter 7 concludes the major factors associated with the success of electropermeabilization, and the degree to which the above-mentioned objectives have been met. This chapter also reveals the prerequisites that are required to consider for introducing this approach in intensified bioprocessing, and suggests the directions for future work. Chapter 8 References 8 Chapter TWO 2. Literature Review 2.1. Corynebacteria 2.1.1. Taxonomy and cell wall of Corynebacteria The genus Corynebacterium, pathogenic or at least parasitic to animals (particularly diphtheroid bacilli), is comprised of a diverse collection of microorganisms (Liebl, 1992). The use of chemotaxonomic markers (mainly cell wall chemistry, lipid composition and DNA base composition) and phylogenetic approaches (mainly 16S rDNA sequence analysis) revealed that the actual hierarchic classification of genus Corynebacterium is class Actinobacteria - subclass Actinobacteridae - order Actinomycetales - suborder Corynebacterineae - family Corynebacteriaceae (Stackebrandt et al., 1997). However, the lipid profile analysis revealed that the genera Corynebacterium, Mycobacterium, Nocardia and Rhodococcus are closely related, therefore these genera are considered as CMN subgroup (Barksdale, 1970). According to Collins and Cummins (1986), the genus Corynebacterium is Gram-positive, non-sporing, non-motile, straight or slightly curved rods, ovals or clubs, often exhibiting typical Vshaped arrangement (Figure 2.1) due to their “snapping” mode of cell division. They are facultatively anaerobic to aerobic, catalase-positive and chemoorganotrophic. The genome of C. glutamicum, a single circular chromosome comprising 3282708 to 3309401 base pairs, is smaller than that of taxonomically related bacterium, M. tuberculosis (4.2 Mb), but larger than that of its close relative, C. diphtheriae (2.5 Mb). The G+C content of the genome of C. glutamicum is 53.8%, which is close to that of E. coli (50%) (Ikeda and Nakagawa, 2003; Kalinowski et al., 2003). The classification of aerobic actinomycetes based on their cell wall composition demonstrated that the cell wall of Corynebacterium is formed by thick mesodiaminopimelic acids (meso-A2pm), a polysaccharide fraction that is rich in arabinose and galactose. Meso-diaminopimelic acids also contain peptidoglycans that are covalently linked to arabinogalactan, a complex branched polysaccharide (Lechevalier and Lechevalier, 1970). The arabinogalactan that is composed mainly of D-arabinofuranosyl and D-galactosyl residues may contain significant amounts of mannose and glucose 9 (Puech et al., 2001). Additionally, high and low molecular mass glucan, arabinomannan, lipoglycans and a protein surface layer are present in the cell wall of Corynebacterium (Puech et al., 2000). The cytoplasmic membrane of Corynebacterium is arranged with long hydroxylated fatty acid chains, known as mycolic acids (Brennan and Nikaido, 1995). It has been demonstrated that mycolic acids and protein layers not only result in a barrier against larger compounds like proteins but also reduce the membrane permeability for small water-soluble substances i.e., amino acids or sugars (Puech et al., 2001). Furthermore, the cytoplasmic membrane of Corynebacterium is surrounded by a rigid murein sacculus (contains up to 100 layers of peptidoglycan) that is highly resistant against freeze damage and pressure or osmotic stress (Komatsu, 1979). It is now obvious that all of these complex carbohydrates available in the cell wall of Corynebacteria decrease the membrane permeability of this bacterium. Figure 2.1 The electron micrograph image of C. glutamicum cell (Dr. Bustard, private communication, 2004). Marienfeld et al. (1997) demonstrated that the cell wall of C. glutamicum is approximately 32nm thick; and is made up with an outer layer (8.5nm), an electron translucent region (6.5nm) and peptidoglycans (17nm). The electron microscopic examination of ultrathin section of C. glutamicum also revealed that the cell wall of this bacterium is comprised of (i) a plasma membrane (PM) of 6-7nm composed of two leaflets, (ii) a thick electron-dense layer (EDL) of 15-20nm, (iii) an electron-transparent layer (ETL) of 7-8nm and (iv) a thin outer layer (OL) of 2-3nm (Puech et al., 2001). The plasma membrane, the innermost part of cell wall, is a typical bilayer of proteins and phospholipids. The PM is tightly associated with the EDL due to the presence of excess lipopolysaccharides in its outer leaflet (Marienfeld et al., 1997). The EDL, containing 10 peptidoglycans, is surrounded by a thin ETL that generally consists of mycolic acid residues i.e., eumycoloyl, nocardomycoloyl or corynomycoloyl. These mycolic acids together with other non-covalently linked lipids i.e., trehalose and mono- and dicorynomycolates form a rigid bilayer. Different noncovalently linked lipids and proteins are mainly present in OL (Puech et al., 2001). The PM of Corynebacterium is assembled with polar lipids, mainly phospholipids and other proteins. The main phospholipid in C. glutamicum is phosphatidylglycerol (80% of the total lipids) although a trace amount of diphosphatidylglycerol, phosphatidylinositol and phosphatidylinositol dimannosides are observed (Puech et al., 2001). The major fatty acids available in this microorganism are palmitic (C16:0) and octadecenoic (C18:1) (Collins et al., 1982), however, 10-methyloctadecanoic acid is found in minor quantities (Puech et al., 2001). The glycan moiety of peptidoglycans is made up of alternating -1, 4 linked N-acetylglucosamine and N-acetylmuramic acid residues. Peptides attached to muramic acid residues of different glycan chains usually form interpeptide linkages, and thus result in a rigid insoluble network surrounding the plasma membrane (Schleifer and Kandler, 1972). Mycolic acids [R1-CH(OH)-CH(R2)-COOH], high molecular weight, α-alkyl, β-hydroxy fatty acids (Figure 2.2), are present in the cell walls of Corynebacteriaceae, Mycobacteriaceae, Rhodococci, Nocardiae (Collins et al., 1982). However, Corynebacterium exhibits the shortest chain mycolic acid (22-38 carbon Figure 2.2 Structures of a representative mycolic acid from M. tuberculosis and corynomycolic acid from C. matruchotti (Lee et al., 1997). 11 atoms) which is only one-third of that from Mycobacterium (Chun et al., 1996). These mycolic acids are esterified to the terminal penta-arabinofuranosyl units of arabinogalactan, and represent a second permeability barrier besides the cytoplasmic membrane (Brennan and Nikaido, 1995). In Corynebacteria and mycobacteria, the cell wall linked corynomycolates and mycolates certainly make the cell membrane impermeable to other substances since the disruption of the respective genes (mycoloyltransferases) result in decrease of corynomycolates and mycolates, and eventually increase the membrane permeability (Jackson et al., 1999; Puech et al., 2000). The German group analyzed more than 100 individual polypeptides in the cell wall of C. glutamicum by two dimensional electrophoretic methods (Hermann et al., 2001). Among them, two major extracytoplasmic proteins, namely PS2 that forms the Slayer (cell surface crystalline array of proteins) of C. glutamicum (Chami et al., 1997), and PS1 that transfers corynomycoloyl residues into the cell wall arabinogalactan and trehalose monocorynomycolates (Puech et al., 2000) were observed. These proteins represent an additional barrier for the cell wall permeability of C. glutamicum since the inactivation of PS1 gene resulted in 50% decrease of cell wall corynomycolates, decreased the trehalose dicorynomycolates and finally altered the membrane permeability (Puech et al., 2000). A pore-forming protein (porin) has recently been identified in the cell wall of C. glutamicum that mediates the transport of small hydrophilic solutes across the hydrophobic mycolic acid barrier (Niederweis et al., 1995). PorA, encoded by gene porA, is a channel forming polypeptide that contains 45 amino acid acidic polypeptides with an excess of four negatively charged amino acids (Costa-Riu et al., 2003). The immunological detection of porin revealed that the channels are water-filled pores, wide and localized in the mycolic acids layer of C. glutamicum, but not in the cytoplasmic membrane (Lichtinger et al., 1998). The porA mutants of C. glutamicum showed reduced growth at every stage of growth cycle as compared to the wild-type grown on minimal medium although there is no difference observed in glutamate production between these two strains. The result confirmed that deletion of porA does not change the membrane permeability of C. glutamicum although this perturbation changes the cell wall structure of this bacterium (Costa-Riu et al., 2003). However, it is now apparent that the cell wall of C. glutamicum is rigid due to the presence of high percentage of peptidoglycans, polysaccharides and mycolic acids that make the cell wall impermeable to both the extracellular molecules and intracellular protein or enzymes. 12 2.1.2. Central metabolism of Corynebacteria (sugar uptake, glycolysis and TCA cycle) Metabolism of an organism refers to the biochemical assimilation (anabolic pathways) and dissimilation (catabolic pathways) of nutrients by a cell. Anabolic pathways include the reductive processes that lead to the production of new cellular material, whereas catabolic pathways are the oxidative processes that generate energy from the substrates or intermediates. In general, cell metabolism is involved with many reactions in which substrates (carbon, nitrogen and phosphate) are taken up by the cell, and finally converted into new cell or products by various catabolic and anabolic pathways. Metabolic intermediates i.e., adenosine tris phosphate (ATP), nicotinamide adenine dinucleotide phosphate (NADP) and reduced NADPH, produced via the catabolism of nutrient medium, are the essential elements for microorganism’s growth as these intermediates play a vital role in biosynthetic reactions, nutrient transport and product excretion (Stryer et al., 2002). Although C. glutamicum metabolises a variety of carbon and energy sources i.e., carbohydrates, organic acids and alcohols (Liebl, 1992), most of the research with this organism used in amino acids production have been conducted with carbohydrates. Several studies also showed that this bacterium co-metabolizes glucose and fructose (Dominguez et al., 1997), glucose and lactate, glucose and pyruvate, and glucose and acetate (Cocaign-Bousquet et al., 1993; Wendisch et al., 2000). C. glutamicum uses the phosphotransferase systems (PTSs) for the uptake of glucose, fructose, mannose and sucrose (Dominguez and Lindley, 1996); and all of these PTSs are responsible for metabolising sugars across the bacterial membrane and its concomitant phosphorylation (Barabote and Saier, 2005). Figure 2.3 shows the transport process of sugar in C. glutamicum. There are three essential catalytic entities i.e., enzyme I, enzyme II, and HPr (heat-stable, histidine-phosphorylatable protein) found in a PTS system in C. glutamicum. The enzyme I (EI, encoded by ptsI) becomes autophosphorylated by phosphoenolpyruvate (PEP) and transfers its phosphoryl group to the HPr proteins, encoded by ptsH. HPr then phosphorylates a number of sugar specific permeases and forms enzyme II-sugar complexes that transport their substrates by concomitant phosphorylation (Saier and Reizer, 1992). 13 Figure 2.3 Sugar transport systems of C. glutamicum. PTSGlc, glucose PTS; PTSFru, fructose PTS; PTSSuc, sucrose PTS; ?, unidentified transport system. Fru, fructose; Suc, sucrose; Glc, glucose; G6P, glucose 6-phosphate; F6P, fructose 6-phosphate; FBP, fructose-1,6-bisphasphate; Suc6P, sucrose-6-phosphate. The inset shows the phosphoryltransfer derived from PEP via the general PTS phosphortransferases I (EI) and HPr proteins shared by the three substrate specific EII PTS components (Eggeling and Bott, 2005). Kiefer et al. (2002) measured approximately 8% and 30% lower L-lysine yield during C. glutamicum growth on sucrose and fructose, respectively, as compared to the yield obtained from glucose. Similarly, the final biomass obtained in fructose and sucrose grown C. glutamicum was approximately 20% lower than that of glucose grown cells. Furthermore, the NADPH generation via the pentose phosphate pathway has been shown to be lower on fructose and glucose/fructose mixtures as compared to glucose (Dominguez et al., 1998; Kiefer et al., 2004). These results confirm that the activity of PTSs is dependent upon the substrates, and the growth of C. glutamicum as well as the production of amino acids is influenced by PTSs. On the other hand, glutamate production is not affected by the PTSs since NADPH requirement in all cases was observed to be fulfilled by the isocitrate dehydrogenase (Georgi et al., 2005). The PTS activity in C. glutamicum has also been shown to be dependent on the specific growth rates since the activity at 0.1h-1 was higher (6mmol g-1 h-1) as compared to the activity (3.9-4.1mmol g-1 14 h-1) measured at 0.1h-1. However, this feature of C. glutamicum is favourable since the amino acid overproduction generally occurred at low growth rates or during the stationary growth phase (Cocaign-Bousquet et al., 1996). Therefore, detailed understanding of the molecular mechanism of PTS and carbon regulation are the prerequisites for making a more rational design for the improvement of amino acid-producing strains. After sugar uptake and phosphorylation, further metabolism of sugar phosphate occurred via both the central metabolic pathway (glycolysis) and pentose phosphate (PP) pathway. Kinoshita (1985) demonstrated that the carbohydrate metabolism of C. glutamicum performs glycolysis, PP pathway, Tricarboxylic acid (TCA) cycle and glyoxalate cycle. Glycolysis is responsible for the conversion of one molecule of glucose into two molecules of pyruvate that are transferred to the TCA cycle for biosynthesis of amino acids and macromolecules. In addition, glycolysis generates several intermediates and high-energy molecules i.e., ATP (transports chemical energy within cells) and NADH (is used for anabolic metabolism). On the other hand, PP pathway, a bypass of glycolysis, is branched off at glucose-6-phosphate and refuels glycolysis at the levels of F6P and glyceraldehyde-3-phosphate. The general role of PP pathway is to supply anabolic reducing power and precursor metabolites i.e., NADPH, ribose-5-phosphate (R5P) and erythrose 4-phosphate for the synthesis of essential macromolecules and certain amino acids (Stryer et al., 2002). The growth of C. glutamicum has been reported to be dependent upon its capacity to generate adequate NADPH for the anabolic pathways, and the requirement of this cofactor is generally met by the high flux through the PP pathway during growth on glucose (Cocaign-Bousquet et al., 1996). The carbon flux distribution between the glycolysis and PP pathways of C. glutamicum grown on glucose has been shown to be slightly in favour of the PP pathway although the phenomenon is not common in other organisms. 13C-labeling studies coupled with nuclear magnetic resonance (NMR) analysis showed that the flux through the PP pathway decreases with the production of L-glutamate throughout the fermentation of C. glutamicum (Marx et al., 1996). This result indicated that the demand of NADPH is decreased during L-glutamate production where the requirement of this cofactor is fulfilled by the isocitrate dehydrogenase (Georgi et al., 2005). However, the situation is entirely different in the case of L-lysine production since a high level of NADPH is required for the biosynthetic pathways. Ishino et al. (1991) measured the contribution of 15 those two pathways in both L-glutamate and L-lysine production. Their result showed that the ratio of glycolysis/PP during L-glutamate fermentation is 80/20, whereas it is 3040/60-70 during L-lysine production. The result demonstrated that the flux distribution between those two pathways is strictly dependent on the type of amino acids produced in C. glutamicum and the conditions supplied. Therefore, a better understanding and manipulation of those two major sugar catabolism pathways is one of the most important targets for the improvement of amino acids production by C. glutamicum fermentation. The TCA cycle is responsible for the complete oxidation of acetyl-CoA that is derived from pyruvate. It provides precursor metabolites for the biosynthesis of 2oxoglutarate (the precursor of L-glutamate) and oxaloacetate (the precursor of aspartate and its derivatives). In C. glutamicum, pyruvate dehydrogenase complex (PDHC) catalyzes the oxidative decarboxylation of pyruvate; and produces acetyl-CoA, CO2 and reduced NAD. Acetyl-CoA is then condensed with oxaloacetate to form citrate that is further catalyzed with a series of reactions. Figure 2.4 shows a schematic diagram of the central metabolism of C. glutamicum during growth on glucose and acetate. During growth on substrates (acetate, fatty acids, ethanol) that enter into the central metabolism at the level of acetyl-CoA, TCA cycle processes glyoxylate pathway which avoids the oxidative decarboxylation steps of isocitrate dehydrogenase (ICDH) and the 2oxoglutarate dehydrogenase complex (OGDHC), and finally produces one molecule of malate from two molecules of acetyl-CoA (Eggeling and Bott, 2005). However, some of the important enzymes in TCA cycle have been studied in order to characterise their activity and to investigate their role both in C. glutamicum growth and amino acids production. The initial reaction of the TCA cycle is catalysed by citrate synthase (CS) that condenses acetyl-CoA and oxaloacetate in order to form citrate. CS is considered to be the rate controlling enzyme for the entry of substrates into the TCA cycle. However, the specific activity of CS in this organism was found to be independent of the level of substrate and the phase of growth (Wendisch et al., 2000). Eikmanns et al. (1994) confirmed that L-glutamate enhancement in C. glutamicum is not possible by simply increasing the CS activity since both the gltA (encodes for CS)-negative and gltAoverexpressed strains showed an identical L-glutamate secretion [17µmol min-1 (g Dw) 1 ]. Isocitrate dehydrogenase (ICDH) is an important enzyme since it provides 2- oxoglutarate as a precursor of glutamate and reducing power (NADPH) by oxidative 16 decarboxylation of isocitrate. In C. glutamicum, the requirement of 1mol NADPH per mol of glutamate production is fulfilled by ICDH. Like CS, the specific activity of ICDH is also independent of the level of substrate and phase of growth. L-glutamate enhancement in C. glutamicum is not possible by simply increasing the ICDH activity since both the icd (encodes for ICDH)-negative and icd-overexpressed strains showed an identical glutamate secretion rate of about 19µmol min-1 (g Dw)-1 (Eikmanns et al., 1995). Figure 2.4 Diagram of the central metabolism of C. glutamicum during growth on glucose and acetate. Dotted arrows represent pathways consisting of several reactions, uninterrupted arrows represent single reactions. AK, acetate kinase; PTA, phosphotransacetylase; ICDH, isocitrate dehydrogenase; ICL, isocitrate lyase; MS, malate synthase; PEPck, phosphoenolpyruvate carboxykinase; Pc, pyruvate carboxylase; PEPc, phosphoenolpyruvate carboxylase (Eggeling and Bott, 2005). 17 2-oxoglutarate dehydrogenase complex (OGDHC) catalyses the oxidative decarboxylation of 2-oxoglutarate to succinyl-CoA. In the TCA cycle, OGDHC competes with the glutamate dehydrogenase (GDH) for the common substrate 2-oxoglutarate. However, the specific activity of GDH in C. glutamicum has been shown to be 20-fold higher than OGDHC (Bormann et al., 1992). Kawahara et al. (1997) demonstrated that OGDHC acts at the branch point of metabolic flux distribution between L-glutamate synthesis and energy production via the TCA cycle. Although their results showed an increase of L-glutamate production during biotin limited cultivation of C. glutamicum, a reduction in the activity of OGDHC was observed, whereas the activity of GDH was hardly affected. Since the TCA cycle provides precursors for the synthesis of glutamate and aspartate family amino acids, it is obvious that the carbon fluxes through this cycle and their control are of major importance for the fermentative production of amino acids in C. glutamicum. In addition, the activities of some of the TCA cycle enzymes especially, PDHC and OGDHC have a severe impact on amino acids production (Asakura et al., 2007; Kawahara et al., 1997; Kimura et al., 1999; Shimizu et al., 2003). However, the knowledge of C. glutamicum genome and metabolic engineering approaches will allow us to change the specific enzymatic properties in the central metabolism, and to increase the carbon fluxes towards the metabolic pathways leading to the synthesis of a particular amino acid. 2.1.3. Anaplerotic pathways of Corynebacteria Anaplerotic pathways are usually responsible for the replenishment of TCA cycle with C4-dicarboxylic acids. Several anaplerotic enzymes have been found in C. glutamicum, and among them phosphoenolpyruvate carboxylase (PEPc) and pyruvate carboxylase (Pc) are the two most important enzymes (Peters-Wendisch et al., 1997) that participate in growth and amino acid production (Delaunay et al., 1999a; Peters-Wendisch et al., 2001). In addition to the C3-carboxylating enzymes, C. glutamicum also possesses a few C4-decarboxylating enzymes that convert oxaloacetate or malate to PEP or pyruvate. These are phosphoenolpyruvate carboxykinase (PEPck), malic enzymes (ME), oxaloacetate decarboxylase and the glyoxylic cycle enzymes i.e., isocitrate lyase and malate synthase (Gourdon et al., 2000; Jetten and Sinskey, 1993; 1995a). Figure 2.5 shows the major anaplerotic reactions occur in the central metabolism of C. glutamicum. It has been investigated that the yield and productivity of aspartate-derived amino acids and L-glutamate synthesis are dependent on the carbon flux through the anaplerotic 18 pathways. In addition, the anaplerotic reactions present at the junction between glycolysis and the TCA cycle are of particular importance for the synthesis of L-glutamate (Eggeling and Bott, 2005; Vallino and Stephanopoulos, 1993). Figure 2.5 Anaplerotic reactions occurring in the central metabolism of C. glutamicum. Abbreviations used: CoA, coenzyme A; PEP, phosphoenolpyruvate; PTS phosphotransferase system for glucose uptake (Eggeling and Bott, 2005). In order to investigate the importance of phosphoenolpyruvate carboxylase (PEPc) activity on C. glutamicum growth and L-lysine production, Peters-Wendisch et al. (1993) cultivated wild type of C. glutamicum, MH20-22B (a strain of C. glutamicum the produces L-lysine) and their respective mutants in which ppc gene (encode for PEPc) was disrupted by gene-directed mutagenesis. The results showed a similar growth pattern in all the strains and no prominent influence on L-lysine production in the corresponding mutants as compared to the parental strain, confirming that the growth of C. glutamicum and L-lysine production in MH20-22B are independent on the activity of PEPc. To investigate further, Peters-Wendisch and his co-workers (1996) constructed the recombinants of parental strains in which both the PEPc and isocitrate-lyase (ICL) were deleted. Their results demonstrated that both the PEPc and glyoxylate cycle are dispensable not only for growth but also for lysine production in C. glutamicum. Moreover, Cocaign-Bousquet et al. (1996) confirmed that PEPc does not play a 19 significant role in fuelling the TCA cycle during growth of C. glutamicum but may play an important role during amino acid production at relatively low growth rates. In order to explore the role of pyruvate carboxylase (Pc) in anaplerotic reactions, Peters-Wendisch et al. (1998) constructed pyc (encodes for Pc)-inactive mutant of C. glutamicum that showed negligible growth on lactate. In addition, a C. glutamicum mutant in which both the pyc and ppc genes were inactivated did not show any growth even in the presence of glucose. These results confirmed that Pc is the main anaplerotic enzyme in C. glutamicum, and there is no further anaplerotic enzyme active during growth on carbohydrates. The same group constructed pyc-amplified and pyc-inactive recombinants of C. glutamicum with their respective host strains to investigate the significance of Pc in amino acids production. The pyc-amplified strains showed more than 7-fold higher glutamate, approximately 50% higher lysine and 10-20% higher threonine production as compared to the original host strains. In contrast, pyc-inactive mutants showed about 2fold lower glutamate and approximately 60% lower lysine production in comparison to the host strains. These results demonstrated that Pc of C. glutamicum has a potential role in amino acids production, and will be an important target for metabolic engineering of C. glutamicum (Peters-Wendisch et al., 2001). However, Delaunay et al. (1999a) demonstrated that PEPc carries up to 70% of glutamate flux, whereas Pc is responsible for the remaining 30% during a temperature-triggered L-glutamate production with C. glutamicum. Like PEPc and Pc, the role of phosphoenolpyruvate carboxykinase (PEPck) in C. glutamicum growth and amino acids production has been investigated (Riedel et al., 2001). Although the pck (encodes for PEPck)-inactive strain has been shown to grow on glucose, no growth was observed in presence of acetate or lactate. This result confirmed that PEPck has an important function during growth on substrates other than glucose. Besides this finding, the glutamate production in pck-inactive and pck-amplified strains was approximately 4-fold higher and 2 to 3-fold lower, respectively, as compared to the parental strain. Similarly, the inactivation and amplification of pck gene in C. glutamicum MH20-22B resulted in only 20% higher and lower lysine accumulation, respectively, as compared to the original strain (Riedel et al., 2001). The results demonstrated that the production of TCA cycle derived amino acids on carbohydrates can be increased by attenuating the activity of this enzyme. Petersen et al. (2001) investigated PEPck activity 20 in L-lysine-producing C. glutamicum MH20-22B by deleting the respective pck gene that resulted in an increase of intracellular concentrations of oxaloacetate, L-aspartate, ketoglutarate, pyruvate and L-lysine, whereas increasing the PEPck activity by pck overexpression showed opposite effects. Malic Enzyme (ME) plays an important role in NADPH generation during growth on substrates other than glucose (Cocaign-Bousquet et al., 1995; 1996; Dominguez et al., 1998). To investigate the physiological role of ME in C. glutamicum, Gourdon et al. (2000) constructed malE (encodes for ME)-inactive and malE-amplified strains. Both the recombinants grown either on acetate or glucose showed identical specific growth rates as compared to the wild-type strain. In contrast, the malE-inactive strain grown on lactate showed a reduced growth rate after 8h of cultivation, while the amplified strain maintained the exponential growth throughout the fermentation. These results revealed that the extent of exponential growth period when grown on lactate is dependent upon the level of ME activity (Gourdon et al., 2000). From the above findings, it is apparent that most of the anapleorotic enzymes in C. glutamicum mentioned in literature have a certain role in cellular metabolism although pyruvate carboxylase (Pc) is considered as the most important enzyme for carboxylation reaction, and PEP carboxykinase (PEPck) is responsible for decarboxylation reaction. 2.1.4. Uptake and assimilation of ammonium in Corynebacteria Nitrogen is one of the most essential components for all macromolecules i.e., protein, nucleic acid and cell wall components of a bacterial cell. The fermentative cultivation of C. glutamicum is usually supplied with external nitrogen sources that are taken up by cells, and thereafter assimilated to accomplish their metabolism (Burkovski, 2003a; b). Hence, the uptake and assimilation of nitrogen sources and their regulatory mechanisms in C. glutamicum have a great importance in amino acids production. It is well-known that the uptake of nitrogen sources is mediated either by passive diffusion (ammonium and urea) or active transport. In C. glutamicum, a considerable number of transporters involved in taking up of different nitrogen sources i.e., ammonium (MeierWagner et al., 2001; Siewe et al., 1996), urea (Siewe et al., 1998), L-glutamine (Siewe et al., 1995) and L-glutamate (Burkovski et al., 1996; Kronemeyer et al., 1995) have been investigated biochemically and genetically. In the presence of high concentration of ammonium, the diffusion of uncharged ammonia (NH3) occurs through the cytoplasmic 21 membrane in order to promote the growth of cells. When the diffusion into cells becomes limited for metabolism, a special ammonium transporter (AmtB) is activated to cope with the nitrogen starvation (Jakoby et al., 2000; Meier-Wagner et al., 2001). C. glutamicum hydrolyzes urea to ammonium and CO2. In presence of high concentration of urea, it passes through the cytoplasmic membrane by passive diffusion, whereas an energy dependent urea uptake system is active during nitrogen starvation (Siewe et al., 1998). This bacterium can utilize L-glutamine as a nitrogen source that is converted to glutamate by glutaminase or glutamate synthase. Siewe et al. (1995) demonstrated that L-glutamine uptake is mediated by a sodium-dependent secondary transport system where both the membrane potential and sodium gradient are the main driving forces. C. glutamicum is also able to grow on L-glutamate as sole nitrogen and carbon source where glutamate is taken up via a binding protein-dependent transport system (Kramer and Lambert, 1990), encoded by the gluABCD gene cluster (Kronemeyer et al., 1995) and a secondary sodium couple carrier (Burkovski et al., 1996). The DNA microarray experiments revealed that the transcription of gluABCD gene is repressed under high nitrogen supply (Burkovski, 2003b). Assimilation of nitrogen has a significant influence in glutamate production by C. glutamicum. Three major enzymes are involved in this process i.e., glutamine synthetase (GS), glutamate synthase (GOGAT) and glutamate dehydrogenase (GDH). GS incorporates ammonium into glutamine, GOGAT converts the glutamine to glutamate, and GDH catalyses the reversible reductive amination of -ketoglutarate to glutamate (Schulz et al., 2001). Figure 2.6 shows the ammonia assimilation or L-glutamate synthesis by GDH and GS/GOGAT. C. glutamicum generally follows two different pathways for ammonium assimilation i.e., in presence of excess nitrogen supply (>1mmol l-1); ammonium is assimilated with one mole of NADPH to form glutamate by GDH. In contrast, ammonium is assimilated to glutamine by GS in presence of low ammonia concentration (<1mmol l-1), and subsequently glutamine is metabolized to glutamate by GOGAT (Burkovski, 2003a; b). In the GS/GOGAT pathway, glutamate is amidated with the consumption of ATP to form glutamine by GS. The amide group is then transferred reductively to 2-oxoglutarate by GOGAT, resulting in the net conversion of 2oxoglutarate to glutamate. Both the GDH and GS-GOGAT pathways produce 1 mole of glutamate from 1 mole of NH3, 2-oxoglutarate and NADPH. However, the GS-GOGAT 22 pathway is energetically more expensive than GDH pathway since it consumes 1 ATP during the process. The following equations (1-3) represent the main reactions occurring during ammonia assimilation of C. glutamicum. Figure 2.6 Ammonia assimilation or L-glutamate synthesis by the GDH and GS/GOGAT system. Abbreviations used GDH, glutamate dehydrogenase; GS, glutamine synthetase; and GOGAT, glutamate synthase (Kimura, 2002a). GDH NH3 + 2-oxoglutarate + NADPH + H+ glutamate + NADP+ ---------- (1) GS-GOGAT NH3 + glutamate + ATP glutamine + ADP + Pi ---------- (2) glutamine + 2-oxoglutarate + NADPH + H+ 2 glutamate + NADP+-------- (3) GDH, GS and GOGAT have already been detected and characterized in C. glutamicum and its subspecies B. flavum by several research groups since 1970’s. It is verified that (i) GDH-negative mutants are unable to synthesize glutamate (Shiio and Ujigawa, 1978), (ii) the activity of GDH in this organism is higher than that of GOGAT (Sung et al., 1984) and (iii) the GS/GOGAT system is repressed under high NH4+ concentrations (Sung et al., 1985). In order to investigate the consequences of GDH deletion and amplification on glutamate production in C. glutamicum, Bormann-El Kholy et al. (1993) cultivated wild type, GDH-negative and GDH-amplified mutants. The results revealed that GDH is not essential for glutamate synthesis since the glutamate production in GDH-negative (21 ± 2µmol g Dw-1) was almost similar to the wild type (20 ± 2µmol g 23 Dw-1). Moreover, they also demonstrated that the glutamate secretion in C. glutamicum cannot be enhanced by only elevating its activity although the GDH activity in GDHamplified mutant was 11-fold higher as compared to the wild type. The specific activities of GS and GOGAT were also determined in all the above-mentioned strains. Surprisingly, the GDH-negative strain showed 2 and 10-fold higher specific activities of GS and GOGAT, respectively, as compared to the wild type. These results indicated that GS/GOGAT pathway in C. glutamicum is regulated in response to the availability of GDH. In addition, Beckers et al. (2001) demonstrated that glutamate synthase (GOGAT) of C. glutamicum is not essential for glutamate synthesis, and the activity of this enzyme is regulated by the nitrogen status. Tesch et al. (1998) investigated the influence of different NH4+ concentrations on cell growth, GDH, GS and GOGAT activities both in wild-type and GDH-negative mutant of C. glutamicum. Although the specific growth rates of both strains were similar at NH4+ concentrations ≤ 5mM, GDH-negative mutant grew significantly slower than the wild type at NH4+ concentrations 5mM. This result indicated that GDH is dispensable for the growth of C. glutamicum in presence of low concentrations of NH4+, and the GS/GOGAT pathway is able to maintain the optimal growth of C. glutamicum at NH4+ concentrations ≤ 5mM. Moreover, the wild strain showed a constant activity of GDH (1.3U mg protein-1) at NH4+ concentrations of 1 to 90mM, whereas the GS and GOGAT activities were observed to decrease at NH4+ concentrations 10mM. In the case of GDHdeficient mutant, both the GS and GOGAT activities were distinctly higher at NH4+ concentrations 10mM than the activities measured in the wild type. These results suggested that the GS/GOGAT pathway in ammonium assimilation is not required for the growth of wild type C. glutamicum grown at NH4+ concentrations 10mM, and the regulation of GS and GOGAT activities in C. glutamicum is also dependent on the availability of NH4+. However, the literature showed that the activities of these enzymes may be regulated under certain growth conditions. Jakoby et al. (1999) demonstrated that the regulation of glnA (gene encodes for GS) transcription is usually caused by adenylylation/deadenylylation via bifunctional enzyme adenylyltransferase (ATase, encoded by glnE gene). In order to verify the above interpretation, Nolden and his co- 24 workers (2001a) investigated the GS activity in glnE-negative mutant grown under both nitrogen surplus and nitrogen starvation conditions. The result showed no regulation of GS activity in the glnE deletion mutant, as compared to the wild type, indicating that GlnE-encoded product is responsible for regulating the GS activity in C. glutamicum. The bacterial GOGAT enzyme consists of a large and a small subunit, encoded by the gltB and gltD genes, respectively. The GlnK-type protein (glnK, formerly named as gltB) and an uridylytrasferase (glnD) of C. glutamicum are involved in nitrogen sensing and signal transfer (Jakoby et al., 1999). It is also demonstrated that GlnK and uridylytrasferase i.e., an intact nitrogen regulation cascade are essential for the derepression of AmtR-controlled genes in C. glutamicum under nitrogen starvation (Nolden et al., 2001b). AmtR, a TetRtype repressor protein, represses the transcription of more than 20 genes i.e., amt, amtB, glnK, glnD, gltB, gltD, ocd, soxA and glnA in presence of nitrogen-rich medium (Jakoby et al., 2000). Although several studies have already been dealt with the effects of nitrogen sources and their concentration on the regulation of nitrogen assimilatory genes, Schulz et al. (2001) first investigated the effect of carbon status on their regulation. C. glutamicum was cultivated in minimal medium (MM) containing 2% glucose where 2 and 100mM NH4Cl were supplied in order to establish nitrogen-limited or nitrogen-rich conditions, respectively. The GS and GOGAT activities in N-limited condition were approximately 5 and 7-fold higher, respectively, than the activities obtained in N-rich condition. In order to investigate the role of carbon status on both GS and GOGAT activities, the glucose concentration in MM was reduced to 0.05%. The results showed that GS activity is approximately 3-fold lower in C-limited condition (MM with 0.05% glucose) than the activity measured in N-limited MM, whereas there was no induction of GOGAT activity observed under C-limited condition. Moreover, the transcription of glnA and gltBD genes is approximately 5 and 7-fold higher, respectively, in N-limited than in N-excess condition (Schulz et al., 2001). The results confirmed that both the GS and GOGAT activities and the transcription of their respective genes are affected by both nitrogen and glucose status. The above information has given us a clear picture about the importance of GDH, GS and GOGAT enzymes in ammonium assimilation of C. glutamicum. It is expected that this understanding will facilitate in implementing of metabolic engineering techniques in order to improve the yield of amino acids in industrial scale. 25 2.1.5. Metabolic engineering and metabolic flux analysis (MFA) of Corynebacteria Metabolic engineering, a modern technique applied for the improvement of properties (for example, productivity) of microorganism, is generally accomplished by manipulating the characteristics of specific enzymes involved in the central metabolic pathway of a microorganism. According to the definition of Stephanopoulos ‘‘metabolic engineering is the directed improvement of cellular properties through the modification of specific biochemical reactions or the introduction of new ones, with the use of recombinant DNA technology’’ (Stephanopoulos et al., 1998). However, metabolic engineering mainly deals with the synthesis of pathways leading to new products, the elimination of pathways leading to by-product formation and the determination of both intracellular and extracellular fluxes and their control under in vivo conditions. When the recombinant technology is applied to a given strain, metabolic responses resulting from the changes mostly cause an effect in metabolic fluxes as well as in the metabolic network. In addition, the investigation of a specific pathway leading to the product of interest is not sufficient to provide the entire information of metabolism. Therefore, a complete biochemical reaction network is generally considered for metabolic engineering (Christensen and Nielsen, 1999). Several applications of metabolic engineering have already been mentioned in literature, such as improvement of yield and productivity, extension of substrate range, production of heterologous proteins and improvement of overall cellular physiology (Stephanopoulos et al., 1998; Nielsen, 2001). The methodology of metabolic engineering, an iterative process, is mainly consisted of two parts i.e., synthetic and analytical. The analytical part that suggests the possible genetic alterations is focussed on the characterization of cell metabolism, whereas the synthetic part deals with the molecular biological aspects i.e., construction of new recombinants (Stephanopoulos et al., 1998). This approach allows us to determine how metabolic fluxes are controlled by a particular pathway, and how the fluxes are changed due to the environmental and genetic changes. A metabolic pathway is defined as ‘‘any sequence of feasible and observable biochemical reactions steps connecting a specialized set of input and output metabolites’’. On the other hand the metabolic flux can be defined as ‘‘the rate at which material is processed through a metabolic pathway’’. The measurement of fluxes provides essential information regarding the cell physiology and metabolism, and suggests the probable genetic or environmental modifications. 26 Fluxes determine the degree of participation of various enzymes in different reactions occurring within the cell (Stephanopoulos, 1999). The method for determining the metabolic fluxes has been named as metabolic flux analysis (MFA). MFA is usually applied to calculate the theoretical yields, to determine the unmeasured metabolite rates and to investigate the function of metabolic pathways in vivo. MFA provides information about the bottleneck reactions and rigid branch points involved in microbial growth as well as metabolite production. In the case of MFA, a set of linear equations is constructed by studying the biochemical stoichiometry in order to measure the unknown metabolic fluxes from the measured fluxes i.e., substrate consumption and biomass or product formation rates. MFA has successfully been applied in order to study Penicillium chrysogenum, Saccharomyces cerevisiae, Bacillus subtilis, E. coli, C. glutamicum and many others (Stephanopoulos, 1999). Metabolic balancing alone or a combination of both metabolite and isotope balance are the main approaches used for determining the metabolic fluxes of a certain pathway. Metabolic balancing is the classical and easily accessible approach used for estimating net fluxes in a pre-defined metabolic network. It is based on the mass balances over each metabolite i.e., the sum of fluxes into an intermediate has to be the same as the sum of fluxes leaving the intermediate at a steady state condition (Christensen and Nielsen, 1999; Stephanopoulos, 1999). Vallino and Stephanopoulos (1993) applied the concept of metabolic balancing in order to estimate the intracellular fluxes at different growth stages of a batch cultivation of a lysine producing C. glutamicum. The results showed that both the PP pathway and the anaplerotic enzyme (PEPc) support significant fluxes during growth and L-lysine overproduction. The same authors also applied this approach in order to determine the branch points of metabolic or network rigidity during lysine production in C. glutamicum. The flux data during the transition from glucose to lysine overproduction showed that the glucose-6-phosphate (G6P) and pyruvate (Pry) nodes are flexible, indicating that lysine yield is not limited by the G6P and Pry branch points and the yield must be limited due to the rigidity at the PEP node (Vallino and Stephanopoulos, 1994a; b). This approach is also applied in order to quantify the intracellular fluxes in the metabolism of pantothenate-overproducing C. glutamicum (Chassagnole et al., 2002; 2003). 27 In the case of metabolic balancing, however, the metabolic network needs to be defined properly in order to estimate all the intracellular fluxes. Furthermore, it is not always known which pathways in the metabolism are actually active since the biological networks are often very large and complex. Therefore, this approach is not suitable to differentiate between two pathways when both the pathways in a given metabolic network are leading to the same metabolite. In metabolite balancing, the cofactor balances (NADH, NADPH and ATP) are therefore considered based on the assumption that all the cofactors generated during the metabolism of a particular substrate are consumed in the subsequent reactions. These balances give a number of limitations besides the flux constraints that arise from the metabolite balances over the intermediates. To alleviate these problems in determining the fluxes, a combination of both metabolite and isotope balancing has recently been used (Wiechert et al., 2001). This approach is considered for both the identification of active pathways and the estimation of relative fluxes through two pathways. In such studies, isotope-labelled compounds (13C or 15N) are used as tracer substrates. When the label substrate is metabolised by cells, labelled carbon atoms are distributed all over the metabolic network according to the carbon-carbon transition of the involved reactions. The resulting metabolic labelling patterns are then measured by mass (MS) or nuclear magnetic resonance (NMR) spectroscopy, and thereafter the data are used to calculate the intracellular metabolic fluxes (Christensen and Nielsen, 1999). 13 C-labeling technique has successfully been implemented in order to calculate the in vivo fluxes through the oxidative part of PP pathway based on their intracellular metabolite concentrations and by determining the kinetic constants of the enzymes in vitro (Sahm et al., 2000). Their results demonstrated that the oxidative part of the PP pathway in C. glutamicum is mainly regulated by the ratio of NADPH/NADP concentrations and the specific enzyme activities of both glucose-6-phosphate and 6 phosphogluconate dehydrogenases. The investigation of different anaplerotic enzymes in C. glutamicum showed that both the carboxylation and decarboxylation reactions in the anaplerotic node occur simultaneously. Moreover, the results demonstrated that C. glutamicum possesses two biosynthetic pathways for the synthesis of DL-diaminopimelate and L-lysine, and the relative use of both pathways in vivo is dependent on the ammonium concentration in the culture medium (Sahm et al., 2000). The flux quantification in the central metabolism of C. glutamicum MH20-22B by NMR spectroscopy combined with metabolite balancing showed that the entry of glucose 6-phosphate flux into the PP pathway is 66.4%, whereas 28 32.3% flux enters into the glycolysis (Marx et al., 1996). Using this principle, the same authors also determined the activity of PP pathway in a number of different strains of C. glutamicum under the production of two essential amino acids i.e., L-glutamate and Llysine. The PP pathway was observed to be the major route for supplying the biosynthetic reducing power since approximately 70% of the total NADPH generated via this pathway, whereas isocitrate dehydrogenase supplied the remaining 30% of NADPH (Marx et al., 1996). The results showed that the PP pathway contributes more flux towards L-lysine than L-glutamate fermentation. In addition, the activity of PP pathway reduced during glutamate production since only 1mol of NADPH is required per mol of glutamate formation which is fulfilled by the isocitrate dehydrogenase. Sonntag et al. (1995) investigated the carbon flux distribution in the central metabolism of C. glutamicum during exponential growth as well as during overproduction of L-lysine and L-glutamate. Using 13 C NMR data in conjunction with stoichiometric metabolite balances, they observed that the molar fluxes via the PP pathway were 40 and 17 during exponential growth and L-glutamate production, respectively. On the other hand, the flux through the PP pathway during L-lysine production was 47, indicating that a high requirement of NADPH for C. glutamicum growth and during L-lysine overproduction is taking place via the PP pathway (Sonntag et al., 1995). 13 C-NMR coupled with gas chromatography-mass spectrometry (GC-MS) has been applied in order to investigate the importance of both PEPc and Pc to the carbon flux distribution in anaplerotic pathways of C. glutamicum. The results showed that Pc is responsible for up to 90% of the carbon flux through the anaplerotic pathways, whereas PEPc contributes approximately 10% of the total oxaloacetate synthesis during L-lysine production in C. glutamicum (Park et al., 1997). Using this same strategy, Petersen et al. (2000) also quantified the individual fluxes at the anaplerotic node where Pc is found to contribute 91 ± 7% fluxes to C3 carboxylation and PEPck is responsible to recycle the excess oxaloacetate to PEP. 13 C-MFA has also been applied to investigate the growth and carbon-flux distribution in the central metabolic pathways of C. glutamicum grown on different carbon sources. Dominguez et al. (1998) observed that the growth of this organism on fructose is significantly less than that on glucose although the substrate uptake rates were the same in both conditions. The NMR analysis of carbon-isotope distribution to the 29 glutamate pool during C. glutamicum growth on 1-13C or 6-13C-enriched fructose revealed that 80% of total fructose consumption occurs via glycolysis, whereas more than 50% of total glucose consumption takes place via the PP pathway during growth on glucose. MFA by 13 C labelling in combination with GC-MS, metabolite balancing and isotopomer modelling revealed that intracellular flux distribution is dependent on the carbon sources applied during fermentation (Kiefer et al., 2004). The result showed that the flux through the PP pathway is only 14.4% of the total substrate uptake fluxes during growth on fructose, whereas the flux through this pathway is 62.0% during growth on glucose. The ammonia-assimilatory pathways of C. glutamicum wild type and GDHnegative mutant have been investigated by in vivo flux analysis during carbon limited but ammonium abundant (30 to 40mM) chemostat cultivations (Tesch et al., 1999). The 15N NMR spectroscopy analysis of ammonium flux through the wild type revealed that 28% of NH4+ is assimilated by the GS reaction involving glutamine, whereas 72% of NH4+ is assimilated by the GDH via L-glutamate. However, there is no GOGAT activity observed in the wild type of C. glutamicum, indicating that the GOGAT pathway is fully inactive at the above-mentioned condition. In contrast to the wild type, glutamate is completely synthesized through the GS/GOGAT pathway in GDH-deficient mutant although the GOGAT has a weak dependency on the availability of NH4+. From the above examples, it is apparent that MFA has been successfully applied in order to understand a detailed knowledge about the metabolic pathways, the activity (in vivo) of enzymes and their regulation associated with the central metabolism of C. glutamicum. Since the demand for these essential amino acids is increasing rapidly, it is necessary to apply functional genomics and metabolic engineering in a more effective way in order to improve the yield and productivity of this bacterium (Wendisch et al., 2006). 30 2.2. Industrial production of amino acids 2.2.1. Introduction Amino acids are the basic structural building units of proteins. The economic importance of L-amino acids is noteworthy due to their use for a variety of purposes, mainly food additives and feed supplements (Eggeling and Sahm, 1999; Leuchtenberger, 1996; Mueller and Huebner, 2002). Until the 1950’s, no suitable commercial process for the production of sodium glutamate existed except the isolation of glutamic acid from vegetable proteins. This method, involving the hydrolysis of wheat gluten or soybean by acid (HCl), is reasonably expensive and produces D-isomer of amino acids (Hirose et al., 1985). Therefore, continuous efforts had been given in order to develop an alternative process for the production of L-amino acids. At present, however, most L-amino acids (i.e., L-lysine, L-glutamate, L-threonine and L-isoleucine) are produced by microbial (especially Corynebacteria) fermentation (Hermann, 2003; Ikeda, 2002). In Table 2.1, the characterized features of amino acids production by microbial fermentation are summarized. There are two organisms mainly used for the fermentative production of amino acids i.e., C. glutamicum is cultivated for the production of L-glutamate, L-lysine and L-phenylalanine (Eggeling and Sahm, 1999; Kramer, 1996; 2004), whereas E. coli is successfully used for L-threonine and L-tryptophan production (Aiba et al., 1980). A number of other organisms (for instance, mutants of Serratia marcescens) have also been used for L-threonine production (Komatsubara et al., 1983) although the production processes in those organisms are not economically suitable (Leuchtenberger, 1996). Nevertheless, C. glutamicum (M. glutamicus), a potent microorganism discovered by Kinoshita and his co-workers (1957), occupies a central role in L-amino acids production among the bacteria mentioned above. A few amino acids i.e., D, L-methionine, glycine, Table 2.1 Features of amino acids production by microbial fermentation (Kinoshita, 1985). 1. The amino acids produced by microbial fermentation are active and biologically desired L-form. 2. Both the fermentation and recovery processes are very simple. 3. Carbohydrates and NH3 are used as the main raw materials 4. Both the investment and production costs are low 5. The production facilities can be used for multi purposes 6. The risk to health and safety is low during production 31 L-cysteine and L-aspartate are still produced either by chemical or enzymatic processes because of low yield achieved by fermentation (Eggeling and Sahm, 1999; Ikeda, 2002). The application of these amino acids is enormous. Monosodium glutamate (MSG) and glycine are used as flavour enhancing agents in food, whereas lysine, threonine, tryptophan and methionine are supplemented in animal feed. Phenylalanine and aspartate are widely used in the production of artificial sweeteners. In addition, some derivatives of L-glutamate i.e., N-acylglutamate and oxopyrrolidinecarboxylic acid are also used as therapeutic agents in nutritional and metabolic disorders (Hirose et al., 1985). In Table 2.2, the current production of major amino acids, their production processes and uses are summarised. Approximately 1.5 million tons of L-glutamic acid is produced per year by Corynebacteria, and the demand for this amino acid is growing by about 6% per year. Alike the importance of MSG, L-lysine is widely used as a feed additive to increase the efficiency of feed. In 2001, the demand for lysine throughout the world was 550,000 tons with a growth rate of 7% per year (Hermann, 2003). The major companies involved in producing these amino acids through microbial fermentation are Ajinomoto, Miwon, Kyowa-Hakko, Cheil-Jedang, BASF, ADM and Degussa. Table 2.2 Current production and application of amino acids (data are the average values for the years 2002 and 2003) (Kramer, 2004). Amino acids Amount (t/y) Production methods Major uses L-glutamate 1,000,000 Fermentation Flavour enhancer L-Lysine HCL 600,000 Fermentation Feed additive D, L. Methionine 400,000 Chemical synthesis Feed additive Glycine 22,000 Chemical synthesis Food additive L-Threonine 20,000 Fermentation Feed additive L-Aspartate 10,000 Enzymatic method Sweeteners (aspartame) L-Phenylalanine 10,000 Fermentation Sweeteners (aspartame) L-Cysteine 3,000 Enzymatic method Food additive L-Arginine 1,000 Fermentation Pharmaceuticals L- Tryptophan 500 Fermentation Pharmaceuticals L – Valine 500 Fermentation Pharmaceuticals L –Leucine 500 Fermentation Pharmaceuticals 32 Due to the huge consumption of amino acids in both human and livestock sectors (Leuchtenberger, 1996; Mueller and Huebner, 2002), the world market for these building blocks is increasing by 10-15% per year (Hermann, 2003). Although the production of amino acids is already established by the companies of Japan and Germany, many academic institutions and other companies are still trying to enhance the production capabilities of microorganisms by identifying new target genes and quantifying metabolic activities through the system biology (Eggeling and Sahm, 1999; Sahm et al., 1995; 2000). It addition, the production processes have been improved by bioprocess and downstream technology (Hermann, 2003). The implementation of fermentation for the industrial production of amino acids was first introduced by Kinoshita and his colleagues of Kyowa Hakko Koygo Co. in 1957 (Kinoshita et al., 1957). They discovered a Grampositive soil bacterium, C. glutamicum (initially reported as Micrococcus glutamicus that is auxotrophic for biotin) which has the ability to produce significant amounts of Lglutamate under biotin limited condition. After this discovery, the same company isolated a homoserine-auxotrophic mutant of C. glutamicum that produced a significant amount of L-lysine (Nakayama et al., 1961). These successive achievements led biotech industries to establish the production of these essential amino acids by C. glutamicum fermentation. However, the biosynthesis of amino acids in this bacterium is strictly controlled by several regulating mechanisms including feedback inhibition and repression (Nampoothiri and Pandey, 1998). At present, most of the L-amino acids are produced by the use of mutants that contain combinations of both auxotrophic and regulatory mutations (Parekh et al., 2000). Auxotrophic mutants that provide the opportunity to eliminate feedback inhibition by limiting the intracellular accumulation of feedback inhibitors and repressors, and regulatory mutants that are insensitive to end product inhibition and repression have been developed by the industries in order to increase the production of amino acids (Hirose et al., 1985). In order to increase the yield and productivity of this bacterium, however, recombinant strains have been constructed by genetic and metabolic engineering (Sahm et al., 1995). Recently, Kramer (2004) classified amino acid producing strains into three different groups i.e., (i) wild type strains that are capable of excreting a particular amino acid under specific culture conditions, (ii) regulatory mutants in which feedback control of amino acids biosynthesis is removed, and (iii) genetically modified strains in which the biosynthetic capacity of a particular amino acid is amplified. 33 2.2.2. Fermentative production of amino acids by Corynebacteria In the case of microbial fermentation, C. glutamicum is grown aerobically in a liquid nutrient medium containing a carbon source (preferably glucose), a nitrogen source (ammonium or urea), mineral salts and growth factors. However, a cost effective production process is largely dependent on the price of carbon sources and the overall yield and productivity of amino acids (Hermann, 2003). For laboratory purposes, glucose is frequently used as a carbon source although sucrose, fructose, acetate and glycerol have also been used to investigate the central metabolism of C. glutamicum (Kramer, 2004). Fermentation is generally carried out with the presence of some control variables (aeration, agitation, pH and temperature) that affect the overall yield and productivity of amino acids. Once the fermentation starts, C. glutamicum passes through a series of metabolic pathways in which the desired amino acid is produced (Ikeda, 2002). However, all the pathways in a metabolic network are controlled by complex patterns of feedback inhibition, induction and repression mechanisms (Kramer, 1996). Figure 2.7 represents a schematic drawing of important steps in amino acids production by bacteria. Figure 2.7 Schematic drawing of important steps in amino acids production by bacteria (Kramer, 1996). 34 However, the utilization of glucose as a carbon source in industrial fermentation is very limited due to its high price. Hence, cane molasses, beet molasses and starch hydrolysate from corn and cassava are generally used for the industrial production of amino acids (Hermann, 2003; Ikeda, 2002). Although molasses is inexpensive, it causes difficulty in excreting L-glutamate into extracellular medium due to its high content of biotin. Consequently, a surfactant or lactam antibiotic is supplied as a biotin suppressing agent at an initial or intermediate stage of cultivation (Eggeling and Sahm, 2001; Kramer, 1996; 2004). Methanol is also used as an alternative carbon source because of its low cost, availability, high purity and water solubility. It has been observed that methylotrophic bacteria are able to convert methanol into L-lysine (Bacillus sp.; Methylobacillus glycogenes) or L-threonine (M. glycogenes) (Motoyama et al., 1994; 2001). Ammonia or ammonium sulphate is commonly used as a nitrogen source during fermentation. It is demonstrated that a continuous supply of assimilable nitrogen is favoured for L-glutamate production (Ikeda, 2002). Nevertheless, the selection of carbon and nitrogen sources is achieved by trial-and-error or based on the knowledge of metabolic pathways of organism considered for fermentation (Parekh et al., 2000). In addition to these, appropriate concentrations of phosphate, sulphate, magnesium, potassium and other minerals are supplied during fermentation of C. glutamicum. Beside the above-mentioned factors, the industrial production of amino acids or any heterologous protein is dependent on the mode of fermentation used. The productivity of L-glutamate by fermentation is represented simply by the following equation: Pglu= glu × X × V Where, Pglu = L-glutamate productivity by fermentation, L-glutamate (g)/time (h) glu = L-glutamate productivity by unit cells, L-glutamate (g)/cell (g)/time (h) X = cell density, cell (g)/volume (l) V= volume (l) This equation reveals that the volume of fermentor, cell density and the specific productivity of cells affect the productivity of a fermentation process. Although glu depends mainly on the capability of production strains, it is strongly influenced by the 35 process conditions, such as cultivation temperature, pH, medium composition and aeration (Eggeling and Bott, 2005). Three different modes of cultivation are usually used in microbial fermentation. In batch cultivation, a bulk amount of carbon and nitrogen sources are supplied in order to obtain a high titre of amino acids. However, the addition of high concentration of carbon sources at the start of fermentation often hampers the growth properties and the production capabilities of microorganism, and eventually reduces the productivity of desired amino acids. Even though a batch process is straightforward, it gives low productivity due to a long lag phase (Stanbury et al., 1998). Therefore, the production of amino acids in industry is generally carried out by fed-batch fermentation in order to achieve high yield and productivity (Hermann, 2003). In a fed-batch process, the growth of microorganism can be controlled in a precise manner. Fed-batch cultivation is initially carried out via batch fermentation. At the end of batch cultivation, the fed-batch fermentation is started with the supply of fresh medium containing high concentration carbon source until an optimal yield of product is obtained (Stanbury et al., 1998). Sassi et al. (1998) obtained 110.6g l-1 L-lysine through the cultivation of lysine producing C. glutamicum by fed-batch fermentation, whereas only 34g l-1 L-lysine was measured in the case of batch cultivation. Similarly, a fed-batch process of C. glutamicum enabled production of 85g l-1 of L-glutamate in a biotin rich medium where the efflux of this amino acid was obtained by increasing the culture temperature from 33 to 39C (Delaunay et al., 1999b). Due to the high concentration of carbon source used in fed-batch cultivation, however, the growth of microorganisms is often inhibited and the yield of product is reduced due to the formation of by-products, such as acetate and lactate (Ikeda, 2002). In the case of chemostat fermentation, microorganisms are allowed to grow exponentially by the continuous addition of fresh medium where the excess fermentation broth is removed from the bioreactor simultaneously. This mode of operation is extremely valuable for studying the microbial physiology, such as biochemistry, genetics and specific enzymatic activity, and provides important information for designing a feeding strategy of fed batch process. During this mode of cultivation, a steady state condition is obtained where no accumulation of substrate, product or biomass in the fermentor is observed. However, the steady state can only be obtained at a dilution rate (D) below the maximum dilution rate (Dmax) (Stanbury et al., 1998). The continuous fermentation of a 36 L-lysine producing mutant of C. glutamicum produced 105g l-1 lysine with a volumetric productivity of 5.6g l-1 h-1. Moreover, the productivity measured in continuous fermentation was 2.5-fold higher than that of the fed-batch culture (Hirao et al., 1989). Despite having higher productivity in continuous culture as compared to batch or fedbatch cultures, its application in industrial fermentation is very limited because of having a great susceptibility to contamination, degeneration and spontaneous mutations (Ikeda, 2002). 2.2.3. Factors affecting during amino acids production in Corynebacteria It is well-known that the growth of microorganisms is dependent on the type of cells, and is varied in response to the physical, chemical and environmental conditions during fermentation. However, there are some important factors i.e., dissolved oxygen concentration and its effective transfer, intracellular pH and osmotic pressure affect the growth of C. glutamicum as well as amino acids production. Dissolved oxygen (DO) concentration is one of the most important parameters for any aerobic microbial fermentation since the glucose uptake rate, yield and productivity are dependent on the availability of DO. Kwong and Rao (1991) demonstrated that a higher oxygen supply is mandatory during the amino acids production by C. glutamicum although the exponential growth is favoured in presence of low oxygen. This finding has also been reported in another study where L-lysine production by batch fermentation of B. lactofermentum was performed with 3% DO for the first 24h, 10% for 24-48h and 5% for the rest of fermentation. The final L-lysine concentration was measured 51.4g l-1, whereas it was 45g l-1 in the case of cultivation carried out at a constant DO (3%) throughout the study (Yao et al., 2001). On the other hand, Hilliger and Hanel (1981) indicated that limitation of oxygen caused a decrease in biomass yield, substrate consumption and L-lysine production, concomitant with formation of the by-products L -lactate, L-alanine and L-valine. Their results showed that the physiology of cell might be affected due to the substrate and dissolved oxygen uptake rates, facilitating the production of by products, such as carbon dioxide, acids and biomass. In addition, the number and concentration of by-products produced during fermentation were observed to be dependent on the amount of O2 supplied and its effective transfer throughout the cultivation. Calik et al. (2001) observed that pyruvic, lactic and acetic acids production are favoured at lower oxygen transfer rate 37 [at agitation rates of 150-250 rotations per minute (rpm) and an air feed rate of 0.1-0.2 air volume per reactor volume per minute (vvm)], while the -ketoglutaric and succinic acids production are favoured at higher oxygen transfer rates (at agitation rate of 500rpm and an air feed rate of 0.2vvm). However, the maximum L-glutamate was measured at an agitation rate of 250rpm and air feed rate of 0.1vvm. The influence of aeration flow during L-lysine production in C. glutamicum has been investigated by batch cultivations. The results showed that the substrate consumption rate, productivity and yield are significantly higher at 0.75vvm, and approximately 50% increase in L-lysine production was observed at 0.75vvm as compared to the L-lysine obtained at 0.5vvm, however, the production decreased by 15% at 1vvm (Sassi et al., 1996). It is obvious from the above findings that cell growth, product and by-product formation are also dependent on the availability of DO, aeration flow and agitation speed during an aerobic cultivation. The osmotic pressure of fermentation media is one of the major operational parameters since an increase of external osmolarity causes an efflux of water from cells, decreases the cell turgor pressure and eventually leads cells to die. The medium osmolarity is often increased due to the accumulation of amino or organic acids during the industrial amino acids production. Guillouet and Engasser (1995b) demonstrated that increase in medium osmolality (0.4 to 2.0Osmol kg-1) interrupts the cell growth, decreases both the specific growth rate (0.7 to 0.2h-1) and biomass yield (0.6g Dw g-1 to 0.3g Dw g1 ) during the batch cultivation of C. glutamicum. Although the level of glutamic acid (55mg g Dw-1) was not shown to be affected by this perturbation, a decreased level of biomass (7.5 to 5.5g Dw l-1) was observed. In addition, the glucose uptake rate was found to be increased in proportion to the specific growth rates at a given medium osmolality (Guillouet and Engasser, 1995b). Gourdon et al. (2003) confirmed that increase in medium osmolarity inhibits the PTS sugar uptake capacity, and eventually decreases the metabolic activity of C. glutamicum. The intracellular pH (pHi) has a major influence on the metabolic activity of cells since it determines the in vivo activity of enzymes and modulates the transport kinetics of nutrients and metabolites. The pHi has been shown to vary from 7.7 to 8.3 during glutamate production in C. glutamicum although a constant extracellular pH (7.3) was maintained throughout the batch fermentation. Although the pHi was relatively stable at 7.7 during the lag period, it increased to 8.1 at the growth phase and finally decreased to 38 7.3 at the decline phase. Furthermore, pH gradient was also observed to be related to the specific glucose consumption rate during both the initial growth and glutamate production phase of fed-batch cultivation (Leyval et al., 1997). However, it is often observed that the production yield obtained in the laboratory is not reproduced in industrial scale. This considerable variation occurs within the bioreactor due to low mixing efficiency during the scale of operation (Hermann, 2003). Therefore, a better understanding of fluid dynamics in bioreactor as well as the interaction among the cultural conditions, environment and microbial physiology is required for scaling up a process successfully. 2.2.4. Mechanisms of L-glutamate efflux in Corynebacteria The mechanism of L-glutamate secretion has initially been described by the ‘Leak Model’. According to this hypothesis, L-glutamate is passively leaked out through the cell membranes that are damaged due to biotin limitation and other treatments. Lack of biotin decreases the activity of fatty acid synthase that results in the reduction of fatty acids and phospholipids synthesis, and subsequently alters the physiological properties of plasma membrane (Takinami et al., 1968). In addition, the feedback inhibition has been shown to be decreased during biotin limited condition that apparently accelerates the internal synthesis of L-glutamate and favours its secretion into the external medium (Shiio et al., 1962; 1963). However, the permeabilization of some ions and organic acids through the cell membrane during L-glutamate secretion revealed that the secretion of L-glutamate is not fully influenced by biotin limitation (Kramer, 1994). Clement et al. (1984) proposed an additional hypothesis, known as ‘Inversion Model’, where the secretion of L-glutamate is mediated by the glutamate permease that functions as an uptake system. It is observed that biotin limitation or surfactant treatment, altering the cell membrane composition of C. glutamicum, selectively uncouples the glutamate uptake system from its energy (proton motive force) source without affecting the ability of permease to interact with its substrate. Once uncoupled, the permease causes secretion or diffusion of L-glutamate into the extracellular medium due to the electrochemical potential (Clement et al., 1984). However, the investigation of the transport kinetics of L-glutamate and its regulation demonstrated that both the ‘Leak’ and ‘Inversion’ Models are very uncertain and not reliable. Hoischen and Kramer (1989) confirmed that a special efflux carrier system ‘Secretion Carrier’ is involved in the secretion of L-glutamate by C. glutamicum. According to this hypothesis, L-glutamate secretion in biotin limited cells of C. 39 glutamicum occurs against an existing chemical gradient where the secretion carrier system is not driven by the membrane potential, pH or other ion gradients. Nevertheless, it has been reported that the alteration in the lipid state of membrane is necessary, but is not sufficient to induce glutamate secretion by this bacterium (Hoischen and Kramer, 1989; 1990). From a biochemical point of view, two factors are mentioned as the principal prerequisites for the production of L-glutamate (Kramer, 1994). First, the central metabolism must be in an imbalanced situation that results in secretion of an intermediate (L-glutamate). L-glutamate secretion is caused by an overflow metabolism whenever (1) the carbon and energy source is present in excess, (2) growth is limited by the lack of an essential nutrient or another component, and (3) substrate uptake is not effectively regulated. In addition, effective glutamate efflux is only observed if the plasma membrane and cell wall are somehow altered resulting in changes in the activity of glutamate secretion carrier system (Kramer, 1994). Secondly, L-glutamate production has been observed to co-exist with several glutamate uptake systems. C. glutamicum possesses a highly active binding-proteindependent glutamate uptake system with a maximal uptake rate (Vmax) of 16nmol min-1 (mg dry weight) -1 (Kronemeyer et al., 1995), and a secondary transporter with a Vmax of about 15nmol min-1 (mg dry weight) -1 (Burkovski et al., 1996). The primary system, under the control of glucose catabolite repression, was shown to be down-regulated in typical fermentation media (Kronemeyer et al., 1995). On the other hand, the secondary transporter of C. glutamicum (glutamate permease) that excretes L-glutamate to the extracellular environment is exclusively active in complex media (Burkovski et al., 1996). In addition, the L-glutamate secretion is regulated by the metabolic and/or energetic state of cells since the secretion activity is decreased drastically in presence of different experimental conditions i.e., limitation of carbon source, change in oxygen availability and inhibition of the respiratory chain (Hoischen and Kramer, 1989). However, the actual mechanism of L-glutamate efflux by this bacterium is still uncertain. Therefore, proper investigations are required in order to discover the mechanisms responsible for Lglutamate production. Due to these inconsistencies, it has also been assumed that L-glutamate secretion is induced due to the changes in cytoplasm rather than cell wall of C. glutamicum. To investigate this interpretation, several studies have already been carried out with the 40 different enzymes or genes associated with L-glutamate biosynthesis, glycolysis, TCA cycle, anaplerotic pathways and nitrogen assimilation. The role of those pathways or enzymes or genes in amino acids production was already discussed in Sections 2.1.22.1.5. However, it is well investigated that the activity of 2-oxoglutarate dehydrogenase complex (OGDHC) is a crucial factor for L-glutamate production by C. glutamicum. In TCA cycle, the OGDHC competes with glutamate dehydrogenase (GDH) for the common substrate (2-oxoglutarate). Shingu and Terui (1971) observed approximately 40-60% decrease of OGDHC activity in B. flavum grown on biotin limited condition as compared to a biotin rich condition. Similarly, Kawahara et al. (1997) showed a significant reduction (approximately 80%) of OGDHC activity in glutamate production conditions (biotin limitation, penicillin addition and surfactant addition) as compared to the nonglutamate production condition, whereas the activity of GDH remained almost constant. Shimizu et al. (2003) investigated the effect of changes in ICDH, GDH and OGDHC activities on metabolic flux distribution at the 2-oxoglutarate branch point of C. glutamicum. Even though ICDH and GDH activities in both icd and gdh-overexpressed strains increased 2.96 and 3.21-fold, respectively, the flux distribution at the 2oxoglutarate node was not affected. In contrast, the carbon flux towards the 2oxoglutarate branch point (glutamate production) has been shown to be more than 75% when the OGDHC activity decreased by 50% due to biotin limitation. The results conclude that the attenuation of OGDHC activity has the greatest impact on glutamate production in C. glutamicum. In order to investigate the relationship between the decrease in OGDHC activity and L-glutamate production by C. glutamicum, Asakura et al. ( 2007) constructed a mutant of this organism in which odhA (encodes for OGDHC) gene was disrupted. The odhA-disrupted mutant has been shown to accumulate L-glutamate (265mM) with a final cellular dry weight of 1.3g l-1 in the presence of excess biotin, whereas the wild type accumulated 1.3mM of L-glutamate and produced a biomass of 3.0g l-1. These results confirmed that the mechanism of L-glutamate production by Corynebacteria is not primarily related to the membrane structure, and the production of this amino acid is caused by a change in metabolic flux towards L-glutamate synthesis. dtsR gene, encodes a component of a biotin-containing enzyme complex involved in fatty acid synthesis, has been identified in C. glutamicum (Kimura et al., 1996). To elucidate the role of DtsRl in vivo, Kimura et al. (1997) constructed dtsR1-disrupted 41 mutant of C. glutamicum that requires fatty acids for growth. The growth and L-glutamate production by both the wild type and mutant in the presence of excess of biotin supplemented with 1mg ml-1 Tween 40 showed a slower growth as compared to the mutant. In addition, the dtsR1-disrupted mutant was observed to produce L-glutamate efficiently even in the presence of excess biotin, whereas the production of this amino acid in the wild strain was zero. In order to investigate further, the same group revealed that the amplification of dtsR1 inhibits the induction of L-glutamate overproduction under biotin limitation, Tween 40 addition and penicillin addition. In addition, they showed that the activity of OGDHC reduced due to Tween 40 addition, biotin limitation and dtsR disruption. These results indicate that decrease in the level of DtsR or a complex containing DtsR triggers the increased synthesis of glutamate from 2-oxoglutarate by lowering the OGDHC activity (Kimura et al., 1999). Moreover, Kimura (2002a; b) identified a dtsR1-regulator protein (DRP) that represses the expression level of dtsR1 by binding to the promoter region of dtsR1. It was assumed that DRP may be a global metabolic regulator since it induces a drastic metabolic flux change from energy production via the tricarboxylic acid cycle to L-glutamate overproduction by controlling the expression level of dtsR1. Table 2.3 represents the mechanisms of L-glutamate secretion described in literature so far. Table 2.3 Leak Model and Metabolic Flux Change (MFC) Model (Eggeling and Bott, 2005) Trigger factor Leak Model MFC Model Biotin limitation Biotin limitation Surfactant addition Surfactant addition Penicillin addition Penicillin addition Oleate auxotrophy Oleate auxotrophy Glycerol auxotrophy Targets Cell surface Biotin-containing complex Cytoplasmic membrane DtsR1 Fatty acid biosynthesis dtsR1-regulator protein (DRP) Cell wall Hypothetical effect Membrane permeability DtsR1 containing complex activity Leakage through membrane Metabolic flux change 42 2.3. Electroporation 2.3.1. Introduction Electroporation is regarded as a molecular biology technique in which cell membrane is reversibly permeabilized due to the application of moderate strength electric pulses. It is one of the non-viral methods successfully used to transfer genes into living cells in vitro as well as in vivo (Golzio et al., 2004; Jaroszeski et al., 1999). In 1982, Neumann and his colleagues first performed in vitro electroporation of mouse lyoma cells in which the plasmid DNA containing the herpes simplex thymidine kinase (TK) gene is transferred into cells by imposing electric pulses (8kV cm-1, 5µs) (Neumann et al., 1982). Since then, it has been applied for gene transformation i.e., the introduction of foreign DNA into mammalian cells (Mir et al., 1999; Neumann et al., 1982; Nickoloff, 1995), bacteria (Bonamy et al., 1990; Calvin and Hanawalt, 1988; Dower et al., 1988; Dunican and Shivnan, 1989; Miller et al., 1988), plant protoplast (Fromm et al., 1985; Riggs and Bates, 1986) and yeast cells (Karube et al., 1985; Meilhoc et al., 1990). Moreover, this approach has been widely used in a range of medical applications, such as electrochemotherapy and transdermal drug delivery (Belehradek et al., 1993; Dev et al., 2000; Heller et al., 1999; Jaroszeski et al., 1997; Mir and Orlowski, 1999; Orlowski and Mir, 1993). It has several advantages over the conventional techniques of gene transformation. These are technical simplicity, ease of operation, rapidity and reproducibility; greater transformation efficiency (TE) as compared to the chemical methods like calcium chloride (CaCl2) and polyethylene glycol (PEG) mediated transformations. In Escherichia coli, the TE by electroporation is 108-109 transformants/µg of DNA which is much higher than the efficiencies (105-106 transformants/µg of DNA) obtained by chemical methods; provides a way to avoid the deleterious toxic effects of chemicals (PEG); better control of the position and size of electropores, minimizing leakage of cytosolic components; determination of electrical parameters, their control and optimization result in greater performance; no need for the pre-incubation of cells and DNA, since DNA penetration into the cytoplasm is associated with the electric pulses; in the case of CaCl2 mediated transformation, the TE is inversely related to the size 43 and form of plasmid DNA; whereas the electroefficiency is directly proportional to the concentration of input DNA and is independent on the size and form of DNA (Prasanna and Panda, 1997). Heat treatments (pasteurization or ultra-high temperature are the predominantly used techniques) are applied in order to extend the durability of foodstuffs in food industry. However, the application of these techniques often causes undesirable side effects, such as denaturation of proteins, destruction of vitamins and deterioration of the taste of foods (Adams, 1991). To resolve this problem several researchers have already developed a non-thermal process in which pulsed electric fields (PEF) with a range of 25100kV cm-1 are applied to kill spoilage microorganisms (Ohshima and Sato, 2004; Schoenbach et al., 2000). In addition, PEF is effective for the preservation of foods because of its potential to inactivate microorganisms without altering organoleptic and nutritional properties of foods (Barbosa-Canovas et al., 1999). The phenomenon of sterilization or inactivation by high intensity electric pulses is resulted in a certain condition in which the total area of electropores appeared the cell membrane becomes extremely large, causes irreversible permeabilization, and eventually kills the microorganisms (Husheger et al., 1981; Wouters and Smelt, 1997). However, the electrosterilization efficiency is dependent on the electrical field strengths (a quantitative expression of the intensity of an electric field at a particular location) and treatment time (Husheger et al., 1981), shape of the treatment chambers (plate and neddle) and temperature of cell suspension (Ohshima et al., 1997) and growth temperature of bacteria (Ohshima et al., 2002). Jayaram et al. (1992) reported that an electric field strength of 25kV cm-1 and treatment time of 10ms at 60C resulted in a high level of destruction (survival ratio of 10-9) of Lactobacillus brevis. The effects of PEF on the inactivation of four different organisms (E. coli, Listeria innocua, Leuconostoc mesenteroides and Saccharomyces cerevisiae) suspended in same medium showed that the electroefficiency is dependent on the cell size, shape and cell wall composition (Aronsson et al., 2001). The results showed that S. cerevisiae is the most sensitive organism with a 6-log reduction, followed by E. coli with a 5.4-log reduction, whereas only a 3-log reduction was obtained in both L. innocua and L. mesenteroides although all the bacteria were exposed to a constant electrical condition (30kV cm-1 electric voltage, 4μs pulse duration and 20 pulses). In addition, while investigating the inactivation kinetics 44 of L. innocua, Wouters et al. (1999) observed that heat inactivation is less effective than PEF although the treatment time and temperature were kept constant in both conditions. Electrochemotherapy (ECT) has been established as an emerging drug delivery method for the treatment of cancer in which a cytotoxic nonpermeant drug (for example, Bleomycin) having high intrinsic cytotoxicity is delivered to the infected tumors by applying of electric pulses (Belehradek et al., 1993; Mir, 2000; Mir et al., 1991). After permeabilization of membrane, the nonpermeant molecules have a direct access into the cytosol, and thereby infected tumors are killed (Gothelf et al., 2003; Mir et al., 1988; Mir and Orlowski, 1999). Electroporation with micro- to millisecond duration and field strengths of 100-1500V cm-1 generally enhance the delivery of certain chemotherapeutic drugs by three to four orders of magnitude and DNA by several 100-fold (Rabussay et al., 2003). The combination of Bleomycin (BLM) and pulse electric field increase the toxicity of this anticancer drug by hundreds of thousands folds in vitro. The most significant increase of toxicity has been observed with molecules, such as netropsin (200-fold) and Bleomycin (700-fold) that do not strongly diffuse through the plasma membrane under normal conditions (Orlowski et al., 1988). Okino and Mohri (1987) observed that 17% decrease of initial mass of infected tumors after 4 days of electroporation using of a highvoltage electrical pulse (5kV cm-1, 2ms) with the administration of BLM. They also observed that the tumor growth cannot be inhibited either by imposing of high-voltage electric field or by administering of BLM alone. In general, the electric field strengths, pulse widths and multiple pulses ranging from 1 to 5kV cm-1, µs to ms and 1 to 8, respectively, are applied for ECT. However, the appropriate electric field needed for ECT is dependent on the specific cells or tissues applied (Jaroszeski et al., 1997). Apart from the application mentioned above, there are few reports available in the literature that demonstrated the possibility of using this approach in bioprocess intensification. Ohshima et al. (1995) observed an increase of invertase and alcohol dehydrogenase (ADH) secretion in the supernatant of samples while pulsed at 6 and 12kV cm-1, respectively. The same group also extracted nucleic acid molecules within 1min of pulsation (Ohshima et al., 1999), and recovered the recombinant proteins (-glucosidase, -amylase and cellobiohydrolase) from the recombinant strains of E. coli (Ohshima et al., 2000). In addition, the specific activities of -amylase and cellobiohydrolase were approximately 9 and 1.9-fold higher than that of ultrasonic treatment. Like bacteria, a 45 considerable release of cytoplasmic proteins of S. cerevisiae, such as glutathione reductase (GLR), 3-phosphoglycerate kinase (PGK) and ADH was observed after 3-8h of pulsation (Ganeva and Galutzov, 1999). They also extracted approximately 80-90% of intracellular enzymes of S. cerevisiae i.e., hexokinase, PGK and glyceraldehyde-3phosphate dehydrogenase (GAPDH) by applying a series of electric field pulses (Ganeva et al., 2003). Form the above findings, it is apparent that pulse electric field easily disrupts the outer membrane of cells, and the extraction or secretion of specific protein or enzymes from an organism is possible by imposing of high intensity electric pulses. 2.3.2. Theory and kinetic studies of electropermeabilization Although electroporation or electropermeabilization has successfully been applied in a range of purposes, the mechanisms or the molecular processes by which the membrane permeability of cells increased are not fully understood. Electroporation is established with the transient reversible permeabilization of cell membrane by imposing an external electric field to living cells (Faurie et al., 2005; Hapala, 1997; Sowers, 1992; Teissie et al., 1999; 2002; 2005; Tryfona and Bustard, 2006; Tsong, 1991; Weaver, 1995; Weaver and Chizmadzhev, 1996). Permeabilization involves two distinct processes (i) the introduction of transient inhomogenities in membrane structure and (ii) the generation of passage in order to transfer or exchange molecules across the membrane through these defects or electropores (Hapala, 1997). Due to the low conductivity of phospholipid bilayers, application of external electric field (voltage) generates a potential difference across the membrane, termed as transmembrane potential (TMP). TMP is the electrical potential (the potential energy per unit of charge associated with an electric field, expressed by voltage) difference across the plasma membrane of the cell. Membrane permeabilization only occurs on the part of cell surface where the TMP difference is equal to or higher than its critical rupturing value i.e., the intensity of electric pulse applied to cell suspension must be higher than the rupturing value (Teissie et al., 1999; Weaver and Chizmadzhev, 1996). The degree of permeabilization is dependent on the TMP (Teissie et al., 1999). In the case of a lipid bilayer, the TMP value is about 200mV (Teissie and Rols, 1993), whereas the threshold TMP for dielectric breakdown of NG108-15 cells (a hybridomal cell line of a rat neuroblastoma and a mouse glioma) is 250mV (Ryttsen et al., 2000). TMP is not evenly distributed over the cell surface since the highest value is obtained at the sites of plasma membrane closest to the electrode, 46 whereas the lowest value of TMP is observed at the sites that are far from the electrode (Ho and Mittal, 1996; Pavlin et al., 2002; Valic et al., 2003). It has been reported that the induced TMP difference brings major changes on the phospholipid bilayer, such as rupture of cell membrane, alteration of membrane proteins and increase of membrane permeability (Zimmermann et al., 1974; Zimmermann, 1982). Hence, it is obvious that the most important factor responsible for electroporation is the induced transmembrane potential difference (), describing by the following equation () = F g rcell Ee cos Where, F is the shape of the cell (in case of spherical cell, F =1.5); g is the conductivity (cell membrane is considered as a pure dielectric, g =1); rcell is the radius of cell; Ee is the applied field strength; and is the angle between the site on the cell membrane where is measured and the direction of Ee Electropermeabilization assay by propidium iodide (PI) penetration into Chinese hamster ovary (CHO) cells showed that permeabilization mainly occurs at the sites of cell membrane facing the two electrodes (Golzio et al., 2002). In addition, Gabriel and Teissie (1997) demonstrated that permeabilization in CHO cells is first observed on the side of cell facing the anode that is more permeabilized than the other. Tekle et al. (1994) demonstrated that pores with smaller size (but greater in number) are created on the membrane facing the anode, whereas larger pores (with a lower population) appear on the membrane facing the cathode. Since the induced TMP difference is also proportional to the cell radius, it is evident that the threshold value of electric field varies with cell size. i.e., larger cells are more sensitive to lower electric field strength than smaller ones (Teissie et al., 1999). The induced TMP difference also depends on the density of cells, arrangement and position of cells in electroporation chamber (Canatella et al., 2001, Pavlin et al., 2002). However, electroporation is a multi-step process in which formation of transient pores, their expansion, exchange of molecules across the cell membrane and resealing of pores are observed. The first three events occur during the pulse, whereas pore resealing takes place after the pulsation (Kinosita and Tsong, 1977; Rols and Teissie, 1990b; 1998). However, the mentioned steps are prone to vary depending on the physical and electrical conditions supplied during pulsation (Ho and Mittal, 1996). Teissie et al. 47 (1999; 2005) and Faurie et al. (2005) described the kinetic studies of electropermeabilization in four steps (Table 2.4). Table 2.4 Steps of cell electropermeabilization due to electroporation Induction step the applied electric field induces the membrane potential difference that leads to local defects when transmembrane potential difference exceeds the threshold value (about 200mV). However, in the case of mammalian cells electropores appear at a critical rupturing value of 0.2-1.5V; Expansion step the size or diameter of pores that are created due to the electric pulses starts to expand until a certain voltage is placed on. The expansion of pores (20 to 120nm in diameter) takes place within 20ms after the pulse is given; Stabilization step when the electric field intensity is decreased below the threshold value, a stabilization state is observed within a few ms where the cell membrane allows small molecules to be permeated or intracellular products to be secreted, and finally Resealing step a slow resealing process of cell membrane is usually observed after removing the electric pulse. The membrane conductance is significantly decreased within a few ms, and the radii of electropores start to reduce. The number of pores is reduced significantly, and a complete disappearance of pores occurs soon after. Rols and Teissie (1990a) demonstrated that the application of electric pulses to a cell membrane reorganizes lipid molecules, induces leakage and forms electropores within a few ms of pulsation. The 31 P NMR analysis of pulsed membrane (CHO cells) revealed that a reorientation of polar heads leads to altering the organization of phospholipids (Lopez et al., 1988). The freeze-fracture electron microscopy showed that electropores appeared within 3 milliseconds of pulsation (Chang et al., 1992). Although electropores in smaller size are formed just after the imposing of pulses, only a few of them expand locally to create passages for macromolecules to pass through the membrane (Tsong, 1991). The expansion of pores is only controlled by the mechanical parameters of cell membrane, such as surface tension or viscosity. Wilhelm et al. (1993) demonstrated 48 that increase in field strength increases the number of electropores on the lipid bilayer membrane but does not influence the kinetics of pore opening. Furthermore, Ryttsen et al. (2000) investigated the kinetics of pores formation, opening and closing due to pulses by patch-clamp and fluorescence microscopy. Their results showed that electropores do not allow a passage for the entry of fluorescein into NG108-15 cells until the electric field reaches its threshold value. However, the electron microscopic analysis of an electropermeabilized cell membrane showed prominent structural changes with the formation of many transient pores (Teissie et al., 1999). These pores provide a way of transferring target molecules, ions and water from one side of cell membrane to the other (Figure 2.8). It has also been demonstrated that the cell-impermeant solutes added in the extracellular medium can easily enter into the cell interior by diffusion during the pore-opening time (Weaver, 1995). However, if the total area of electropores is small in relation to the total surface area of membrane, the electropores resealed automatically after removing the external electric field to ensure the survival of electrically stimulated recipient cells (Sowers, 1992; Tsong, 1991; Weaver, 1995). This phenomenon is observed in the case of reversible membrane permeabilization. The electron microscopy of electroinduced permeabilized membrane of CHO showed that numerous microvilli and blebs are formed just after the Figure 2.8 A schematic diagram of theoretical cell membrane before and after electroporation (Dr. Bustard, private communication, 2004). 49 application of electric pulses, however, these effects are reversible and disappeared within 30min at 37°C (Escande-Geraud et al., 1988). It has been reported that the field-treated cells recover their original membrane impermeability within few minutes or hours depending on the electroporation and postelectroporation conditions (Chang et al., 1992; Prasanna and Panda, 1997; Teissie et al., 1999). The reversible behaviour of biological membrane alteration is strongly controlled by the post pulse temperature (Golzio et al., 1998). The induced permeabilization state of CHO cells has been shown to remain in a permeable state without loss of viability for several hours at 4C (Lopez et al., 1988), whereas cells were observed to be resealed in less than 5min at 37°C (Golzio et al., 2004; Rols et al., 1994). However, a fast resealing process increases the viability of cells and transfection yield (Rols et al., 1994). The stability of the permeabilized state is also influenced by the nature of the membrane. Pure phospholipids bilayer membrane has been shown to have very short-lived permeability (Teissie and Tsong, 1981), whereas biological cell membranes can be maintained permeable for longer periods i.e., from seconds to hours depending on the post pulse conditions (Kinosita and Tsong, 1977). Irreversible membrane breakdown often occurs due to the application of nonoptimal electrical conditions to the cell suspension. If huge numbers of electropores are formed or the diameters of individual pores are enlarged enough due to the application of high field strength, the membrane is no longer able to repair these perturbations (Teissie et al., 1999; Weaver and Chizmadzhev, 1996). Two common phenomena are mainly observed during irreversible electroporation i.e., creation of permanent holes on the membrane due to the expansion of electropores, and cell lysis as a result of chemical imbalances caused by molecular transport through the transient pores. During irreversible electropermeabilization, essential cytoplasmic components have been observed to leak out from the cells. Nevertheless, no dramatic rupture is monitored if the electrical parameters applied during electroporation are inappropriate (Sowers, 1992; Weaver and Chizmadzhev, 1996). Moreover, membrane fusion among the pulsed cells is often observed after electropermeabilization. During electropermeabilization, cells loose the repulsive forces that prevent membranes of two cells fusing spontaneously (Rols and Teissie, 1989; Sowers, 1986; Teissie and Rols, 1986). Figure 2.9 shows a schematic diagram of the effects that occurred during and after electroporation. 50 Figure 2.9 Exposure of a cell to an electric field may result either in permeabilization of cell membrane or its destruction (Puc et al., 2004). 2.3.3. Factors affecting cell electropermeabilization The efficiency of a successful electroporation is dependent on many critical factors and parameters that influence the transmembrane transport of molecules into cells as well as the yield of transformants or electroporants. Table 2.5 presents a number of factors that are required to investigate during establishing an electroporation or electropermeabilization process. Table 2.5 Critical factors and parameters that influence electroporation (Faurie et al., 2005; Prasanna and Panda, (1997) Type Cellular factors Factors growth phase of cell, cell density, cell diameter and cell wall rigidity; Physiochemical factors medium conductivity, ionic concentration of the electroporation buffer, osmolarity, post-electroporation incubation conditions, temperature, pH and DNA concentration; Electrical parameters optimal field strength, critical voltage, pulse length, number of repetitive pulses and different electrodes geometry. 51 2.3.3.1. Cellular factors The efficiency of transformation is dependent on the growth stage of a microbial culture used for electroporation. Several experiments showed that electro-TE is significantly higher with cells grown at early or mid exponential or log phase than that of cells harvested for electroporation (Bonamy et al., 1990; Calvin and Hanawalt, 1988; Dunican and Shivnan, 1989; Miller et al., 1988). When E. coli cells harvested from early exponential growth phase were pulsed, approximately 3-fold increase in TE was reported as compared with the cells harvested from late exponential phase (Calvin and Hanawalt, 1988). The highest yield of transformants (107) was obtained with Corynebacterium cells grown at the mid-exponential phase, and the efficiency of transformation may be varied from 100 to 1000-fold due to the difference (2-3h) of culture age of C. glutamicum (Bonamy et al., 1990). In another study, PEF treatment with an electric field strength of 1.5V mm-1 and an energy input of 95J ml-1 resulted in 23% permeabilized cells when the cells were in the stationary growth phase, whereas an energy input of only 24J ml-1 was required to obtain a similar level of membrane permeabilization with cells in the exponential growth phase (Wouters et al., 2001). Like the growth stage, the yield of transformants is also dependent on the density of cells. The TE of C. glutamicum has been shown to increase up to cell density of 1010 cells ml-1 (Bonamy et al., 1990; Liebl et al., 1989), and reduce linearly with a concentration of below 1010 cells ml-1 (Dunican and Shivnan, 1989). Pucihar et al. (2007) determined a decrease in permeabilized CHO cells (approximately 50%) due to increase of cell density from 10 × 106 to 400 × 106 cells ml-1 although the electroporation conditions were kept constant. Furthermore, Delorme (1989) demonstrated that the electro-TE of S. cerevisiae with an OD600 of 11.0 is approximately 4 to 5-fold lower than the OD600 of 0.3-1.0. The success of electroporation is also dependent on the type of organism used for transformation. Since the induced TMP difference is proportional to the radius of cell, it has been reported that the threshold value of electric field for membrane permeabilization is varied with the size of cell (Teissie et al., 1999). In addition, the magnitude of external electric field required to generate a TMP sufficient for pore formation is inversely proportional to the size and shape of cells (Miller et al., 1988). This means that the field strengths required for small and spherical shaped cells are considerably higher than those for larger and rod shaped cells (Prasanna and Panda, 1997; Wouters et al., 2001). It has also been reported that the electropermeabilization of eukaryotic cells requires lower 52 electric field strength than prokaryotic cells (Miller et al., 1988; Prasanna and Panda, 1997). Bonamy et al. (1990) reported that the electrical and other factors are more stringent for efficient transformation of Corynebacterium species than for other strains i.e., E. coli and C. jejuni. Prasanna and Panda (1997) reported that the Gram-positive bacteria as a group are somewhat less efficient in transformation by electroporation than are Gram-negative species. However, increasing the electric field intensity may overcome this barrier to a certain degree, and hence improve electro-TE of Gram-positive bacteria. Several researchers observed that the voltage required for pore formation and the efficiency of transformation are varied from species to species. The intact cells of B. japonicum were transformed with a TE of 106 to 107 transformants/g of DNA in presence of field strengths of 10.5 to 12.5kV cm-1. Wouters et al. (2001) showed that L. fermentum is more resistant and less permeabilized than L. plantarum although the electroporation conditions were kept constant throughout the study. These results indicated that the effect of electroporation is not only dependent on the species but also on the genus levels. The level of leakage of UV-absorbing substances from Salmonella typhimurium after pulsation is approximately 4-fold higher than that of Listeria monocytogenes although the electrical conditions were kept constant (Simpson et al., 1999). Moreover, it has been shown that induced TMP difference also depends on cell angle in relation to the direction of electric field applied (Pavlin et al., 2002). However, cellular factors (especially growth phase, cell density and type of organism) in comparison to the electrical factors have relatively minor influence on the efficiency of transformation (Miller et al., 1988). 2.3.3.2. Physiochemical factors The electroporation buffer in which the targeted cells are suspended has the major influence on both TE and cell viability (Muller et al., 2001). The conductivity of electroporation medium that is often increased due to electric pulses have an effect on pulse duration and expansion of transient pores (Rols and Teissie, 1989), which play a vital role in transferring the molecules across the cell membrane. The ionic composition of the pulsing buffer determines its specific resistivity, and hence the RC time constant (resistance of the cell suspension and the capacitance of the capacitor) of electric pulse. V = V0exp(-t/RC) 53 =RC Where, V is the voltage across the pulsing chamber; V0 is the initial voltage; T is the time after the pulse starts; R is the resistance of the suspension; C is the capacitance of the capacitor; and is the time constant McIntyre and Harlander (1989b) showed that L. lactis cells suspended in deionised distilled water (lowest conductivity) were more rapidly electroporated than the cells suspended in different pulsing medium, such as EPB (0.5M sucrose, 1mM MgCl2, 7mM K2HPO4-KH2PO4 at pH 7.4), EPM (0.3M raffinose, 1mM MgCl2.6H2O, 5mM K2HPO4-KH2PO4 at pH 7.4) or EB (222mM sucrose, 1mM MgCl2, 7mM N-2hydroxyethylpiperazine-N-2-ethanesulfonic acid at pH 7.4), respectively. The medium conductivities of EPB, EPM and EB were 2.04, 1.43 and 0.5mS cm-1, respectively, whereas it was only 0.07mS cm-1 in the case of deionised distilled H2O. Moreover, the highest TE was obtained when the least conductive suspending solution (deionised distilled H20) was used. Furthermore, the pulse duration applied during their study was shown to vary with the medium conductivities although cells were treated for a constant time period (5ms). Use of the highest ionic strength and most conductive solutions (EPB and EPM) resulted in reduced pulse duration (0.60ms for EPB-suspended cells and 4.02ms for EPM-suspended cells) and transformation efficiencies (McIntyre and Harlander, 1989b). Similarly, Djuzenova et al. (1996) observed that the incorporation of PI into the reversibly permeabilized cells (murine myeloma) increased significantly with the decreasing of medium conductivity. The electropermeabilization of mouse myeloma cells by single square-wave electric pulse (150kV cm-1 and 10-100ns) also showed that a significant increase of PI uptake occurred with the decreasing of medium conductivity (Muller et al., 2001). Like mammalian cells, the number of permeabilized cells (L. plantarum) was observed to be increased due to the decrease of medium conductivity from 1.5 to 0.4S m-1 although a constant energy input (2.5V µm-1) was supplied throughout the study (Wouters et al., 2001). Furthermore, the electropermeabilization of 54 S. cerevisiae has been investigated by suspending cells in media containing different salts, such as NaCl, KCl, MgCl2, CaCl2 or MgSO4 (Muraji et al., 1998). Although the conductivities of pulsing media were adjusted to 15.4mS cm-1 by varying concentration of salts and a constant energy input was supplied throughout the study, the yield of electropermeabilized cells measured in the medium containing NaCl was significantly higher than that of media containing other salt solutions, especially CaCl2. The results demonstrated that extracellular ions affect the functioning of membrane electropores by interacting with the cell membrane, and confirmed that the ionic content of the extracellular media has an important influence on the yield of electropermeated cells (Muraji et al., 1998). Several studies have already established that osmotic pressure has a major impact on electroporation. Rols and Teissie (1990a) investigated the effects of osmotic pressure (due to pulsing buffer) on the electropermeabilization of CHO cells. The results showed that osmotic pressure has no effect on the induction step of permeabilization, whereas the expansion and resealing steps were inhibited due to the increase of osmotic pressure of pulsing buffer. During voltage-induced membrane permeabilization and gene transfer in CHO cells, Golzio et al. (1998) showed that the size of CHO cells (12.2µm) increased with the decrease in medium osmolarity, whereas the size of cells decreased with an increase of medium osmolarity. The membrane permeabilization of osmotically shocked CHO cells has been shown to occur at low TMP as compared to the cells electroporated under normal condition (Barrau et al., 2004). Suga et al. (2003) showed approximately 5fold increase in electro-TE (6.8 ± 1.7 × 106) while S. pombe cells pre-incubated with hyperosmotic solution (2M sorbiol/1.5M NaCl at 30C for 60min) were pulsed at 11kV cm-1, 25μF and 200Ω. It has been demonstrated that the temperature generated during electroporation of samples has an important influence on the efficiency of transformation (Miller et al., 1988). While keeping the electric field strength constant at 5.25kV cm-1, samples (cell suspension of Campylobacter jejuni) pre-incubated at 22C for 10min resulted in a TE of 5.0 0.9 × 103 transformants/g DNA, whereas it was 3.3 1.9 × 105 transformants/g DNA in the case of samples pre-incubated at 4C for 10min. Rols et al. (1994) also showed that the electroporated samples with a pre-incubation at 4C and post-incubation at 37C enhanced the transfection efficiency of mammalian cells. They also mentioned 55 that pre-incubation of cells at 4C with plasmid DNA increased the interfacial concentration of plasmid at the cell membrane and inhibited DNA degradation by extracellular nucleases. The TE of slow-growing species (M. tuberculosis, M. bovis and M. intracellulure) increased by several orders of magnitude due to the increase of temperature to 37C. In contrast, the TE of M. smegmatis (a fast-growing species) was higher at 0°C, and decreased with the increase of temperature (Wards and Collins, 1996). Furthermore, Gallo et al. (2002) investigated the effects of temperature on the electropermeabilization of stratum corneum (the outermost layer of porcine skin). The results showed that the stratum corneum is susceptible to permeabilization at high temperature, and cells pulsed at high temperature needed a prolonged time to recover their original structure. However, this detrimental effect due to Joule heating could be minimized by conducting the pulse experiments at low temperature (Rols et al., 1994; Teissie et al., 1999). Moreover, if the cells suspended in deionized water are pulsed and the parameters, such as cell concentration, field intensity, number and duration of pulses are properly optimized, this injurious effect can be overcome (Ganeva et al., 2003). Although several authors demonstrated that the pH of the pulsing medium does not affect the inactivation of microbial cells by PEF (Husheger et al., 1981), it was recently found that pH has also a major influence on electroporation efficiency. VegaMercado et al. (1996) reported that E. coli is more PEF-sensitive under acidic conditions, whereas Alvarez et al. (2000) demonstrated that Salmonella senftenberg is more resistant at acidic pH. The electric field and ionic strength are more likely related to the poration rate and physical damage of the cell membranes, while pH is more likely related to changes in the cytoplasmic conditions due to the osmotic imbalance caused by the poration (Vega-Mercado et al., 1996). DNA concentration is also reported to be a limiting factor for obtaining an optimal electro-TE. Dunican and Shivnan (1989) demonstrated that there is a saturation level above which increasing DNA level decreases the efficiency of transformation. In their experiments, the optimum DNA concentration was observed to be 1ng while transforming plasmid DNA into C. glutamicum. A similar observation is also mentioned by Delorme (1989) during the electrotransformation of S. cerevisiae. The yield of transformants (107 transformants per µg DNA) obtained through the use up to 1-2g of DNA was shown to be higher than that achieved by means of high concentration of DNA (more than 4g) although the electric parameters were identical in both conditions 56 (Bonamy et al., 1990). The result suggests that the TE could be improved by lowering the amount of plasmid DNA during electroporation. To increase the efficiency of electroporation, several compounds (penicillin G, ampicillin, isonicotinic acid or Tween 80) were also added into the growth medium in order to make the cells more permeable for the exogenous DNA (Bonnassie et al., 1990; Haynes and Britz, 1990). Haynes and Britz (1989) showed an increase of TE (up to 4 × 107 trasformants/μg of DNA) due to the addition of glycine plus Tween 80 into the electroporation medium of Brevibacterium lactofermentum and C. glutamicum. The same group later obtained the TE of 5 × 105 transformants/μg of homologous DNA and 2 × 103 transformants/μg of E. coli DNA due to the supplementation of glycine and isonicotinic acid hydrazide (INH), respectively, into the culture medium (Haynes and Britz, 1990). These results might have occurred due to the fact that glycine incorporates into the cell wall and leads to a less tightly cross-linked structure, while INH changes the mycolic acid composition. Similarly, it has been demonstrated that addition of Tween 80 altered the degree of unsaturation of the side chains and the overall composition of corynemycolic acids (Chevalier et al., 1988). It has been reported that penicillin and other -lactam antibiotics alter the membrane structure of Corynebacteria, and cause the cellular excretion of Nacetylglucosamine derivatives and phospholipids, regardless of the carbon sources used for cultivation (Kikuchi and Nakao, 1986). Kurusu and his co-workers showed approximately 2-fold increase in TE by supplying C. glutamicum cells with 1U ml-1 penicillin G into the pulsing medium prior to electroporation (Kurusu et al., 1990). Pretreatment of cells with ampicillin (a -lactam antibiotic) has also been reported to increase the electro-TE of B. lactofermentum (Bonnassie et al., 1990). The result showed that ampicillin (0.5-1.5µg ml-1) partially disorganised the cell wall structure of this bacterium and increased the TE, however, no transformant was observed without imposing the electric pulse. In addition, the TE of C. glutamicum has been increased by allowing an additional freeze/thaw cycle and treating the cells with lysozyme prior to electroporation (25-30kV cm-1). The optimal yields of transformants per µg of plasmid DNA were 3.0 × 103 for intact, 2 × 104 for freeze/thawed and 7 × 104 for lysozyme treated cells, respectively (Wolf et al., 1989). However, careful choice of permeabilizing agents and adjusting the experimental conditions are the most important factors while increasing the 57 membrane permeability is conducted by the use of these chemicals into the electroporation medium in which cells are suspended. 2.3.3.3. Electrical parameters Among all the factors discussed above, electrical parameters (mainly electric field strength) have a major influence on the efficiency of electroporation. The electric field strength, pulse duration, pulse repetition frequency, number of pulses and pulse shape determine whether electropermeabilization of cell membrane is reversible or irreversible. It is often observed that cells are irreversibly permeabilized and lose their viability if these parameters exceed a certain limit i.e., amplitude of pulses is too high or duration of pulses is too long. Several groups have already investigated the effects of electric field strength/ pulse amplitudes on the TE of different stains. Table 2.6 presents a list of transformation experiments that have been effectively carried out by controlling the electrical parameters. The TE of C. jejuni was observed to be increased with an exponential manner in the range of field strengths 5 to 13kV cm-1, and the frequency of transformants was approximately doubled in every 1kV cm-1. Furthermore, an increase (2-fold) in voltage results in more than 1000-fold increase of TE (Miller et al., 1988). However, no transformants were obtained at 3kV cm-1 while electrotransfomation was carried out with B. japonicum (Hattermann and Stacey, 1990). The number of transformants per µg DNA has been shown to be increased from 2300 to 4500 due to the increase of voltage from 800V to 900V, however, pulsing at 1000V sharply reduced the number of transformants to 1630 during the electrotransformation of DNA into S. cerevisiae (Delorme, 1989). Dunican and Shivnan (1989) demonstrated that high voltage is required in order to generate electropores on the cell wall of C. glutamicum since an electric field strength of 6.25kV cm-1 was not shown to be sufficient to improve the uptake of DNA into protoplast. Bonamy et al. (1990) showed that the uptake of plasmid DNA in Corynebacteria only occurs at field strengths 5kV cm-1 and pulse duration of 0-20ms. The number of transformants also increased with the pulse duration that has been successfully investigated with different type of strains i.e., bacteria (Eynard et al., 1992), yeast (Meilhoc et al., 1990) and mammalian cells (Wolf et al., 1994). In the case of E. coli, no transformation was observed with pulse duration shorter than the millisecond (ms) range although the membrane permeabilization occurred with microsecond (µs) 58 Table 2.6 A list of transformation experiments carried out with the different types of strains by varying the electrical conditions of electroporation Strains Cell density Field strength Pulse duration Yield of (cells/ml) (kV cm-1) (ms) transformants N/M 12.5 7ms 1.0 × 107 Hattermann and Stacey, 1990 Brevibacterium flavum 1.0 × 1010 12.5 N/M 5.0 × 104 Satoh et al., 1990 C. jejuni 5.0 × 109 13.0 2ms 1.2 0.9 × 106 Miller et al., 1988 Clostridium cellulolyticum 1.0 × 1011 7.5 5ms 1.0 × 107 Tardif et al., 2001 C. glutamicum 3.0 × 108 35.0 500µs 3.0 × 103 Wolf et al., 1989 C. glutamicum 7.0 × 1010 12.5 N/M 4.0 × 107 Liebl et al., 1989 C. glutamicum 1.0 × 1010 12.5 5ms 1.0 × 107 Dunican and Shivnan, 1989; Bradyrhizobium japonicum References Bonamy et al., 1990 E. coli K-12 2.2 × 109 13.0 N/M 4.5 × 109 E. coli 2.5 × 1010 13.0 5ms 1.6 0.1 × 109 L. casei 2.0 × 108 5.0 N/M 8.5 × 104 Chassy and Flickinger, 1987 L. lactis 5.0 × 1010 17.0 5ms 1.0 × 103 McIntyre and Harlander, 1989a Staphylococcus aureus 3.0 × 1010 23.0 2.5ms 4.0 × 103 Schenk and Laddaga, 1992 N/M: Not mentioned 59 Calvin and Hanawalt, 1988 Dower et al., 1988 pulses (Dower et al., 1988). However, pulse duration with high electric voltage often kills the microorganisms, and eventually decreases the TE. Miller et al. (1988) observed that an increase of pulse duration from 10 to 20ms decreased the TE by a factor of 100. Hattermann and Stacey (1990) also observed that increasing the pulse duration from 6.6 to 30.5ms with a constant field strength of 12.5kV cm-1 resulted in a decrease (200-fold) in TE. Miller et al. (1988) observed that pulse amplitude and duration have compensatory effects on the efficiency of transformation. An efficiency of 5.0 x 105 transformants of C. jejuni/g of DNA was obtained with a field strength of 5.25kV cm-1 and pulse duration of 21ms or a field strength of 10.3kV cm-1 and a duration of 2.4ms. A similar phenomenon was also observed where the exponential decay pulses of either 7kV cm-1 and 20ms or 12.5kV cm-1 and 5ms yielded the same level of transformants (109 to 1010) while plasmid DNA was transformed into E. coli by high-voltage electroporation (Dower et al., 1988). Nevertheless, Jayaram et al. (1992) demonstrated that the application of high electric voltage is more effective for the destruction of L. brevis cells than is obtained due to the increase of treatment time or pulse duration. Pulse type has also a significant influence on the efficiency of electroporation. Two types of electric pulses i.e., exponential decay pulses, EDPs (Neumann et al., 1982) and square wave pulses, SWPs (Rols and Tessie, 1990b) are frequently used in order to permeabilize cells. The main difference between these two types of pulses is that the voltage applied to cell suspension remains constant during pulsation (in the case of SWPs), whereas voltage that discharged into the cell suspension decreases over time (in the case of EDPs). In general, exponential decay pulses are used for the electroporation of bacteria, yeast and other microorganisms, where a high voltage is applied to a cell sample suspended in a small volume of high resistance media (Neumann et al., 1982). On the other hand, SWPs, applied for the electropermeabilization mammalian cells, resulted in high survivability of permeabilized cells that could not be obtained by EDPs (Takahashi et al., 1991). It is now apparent that several factors or parameters are required to consider for the the success of electroporation, and hence it is necessary to investigate all the factors while conducting electrotrasformation or applying this approach in chemotherapy or improving the bioprocesses through electropermeabilization. 60 Chapter THREE 3. Production of L-glutamate by Fermentative Cultivation of Corynebacteria under Different Growth Conditions 3.1. Introduction In 1957, Kinoshita and his co-workers first observed that C. glutamicum (initially reported as Micrococcus glutamicus) is able to produce L-glutamate under biotin limited condition (Kinoshita et al., 1957). The same group also constructed a homoserineauxotrophic mutant of C. glutamicum that was observed to produce a large amount of Llysine by fermentation (Nakayama et al., 1961). Since then, a number of amino acids i.e., L-lysine, L-glutamate, L-threonine and L-isoleucine have been produced by microbial fermentation (Hermann, 2003; Ikeda, 2002). Under specific culture conditions, however, Corynebacteria convert almost 50% of the supplied carbohydrate to L-glutamate with the formation of insignificant amount of by-products, and the maximal production rate can reach up to 100g l-1 (Kinoshita et al., 1985). The maximal specific growth rate of C. glutamicum in CGXII Minimal Medium was reported to 0.33h-1. After 30h of fermentation on CGXII Medium supplemented with 220mM glucose, this fast-growing bacterium was observed to reach an OD600 of 53.0 (equivalent to approximately 14g Dw l-1) (Keilhauer et al., 1993). However, it is well investigated that the cell wall of C. glutamicum consists of three different layers i.e., cytoplasmic membrane, peptidoglycan layer and mycolate layer that result in low cell wall permeability (Hirose et al., 1985; Kramer, 1994). Jarlier and Nikaido (1990; 1994) demonstrated that the cell wall permeability of M. chelonae to cephalosporins is about three orders of magnitude lower than that of E. coli, and ten times lower than the permeability of P. aeruginosa. Because of having low membrane 61 permeability, wild strains of C. glutamicum excrete a limited amount of L-glutamate under normal growth condition, and hence the product yield is often inadequate (Hirose et al., 1985). Furthermore, a major rate-limiting step is observed not only in the amino acid secretion but also in glucose and nutrient uptake due to the presence of rigid cell wall (Kramer, 1994). Glutamic acid is produced by C. glutamcum grown under sufficient amounts of glucose and nitrogen supply where the growth of cells is inhibited due to the lack of an essential compound responsible for fatty acid synthesis (Gutmann et al., 1992). The secretion of L-glutamate produced in C. glutamicum has been occurred by various treatments i.e., biotin limitation (Shiio et al., 1962); surfactant addition (Duperray et al., 1992; Takinami et al., 1965; 1968); addition of beta-lactam antibiotic, penicillin (Demain and Birnbaum, 1968; Ikeda et al., 1972); ethambutol addition (Radmacher et al., 2005) and addition of oleic acid or glycerol (Kanzaki et al., 1967; Okazaki et al., 1967). It has been well investigated that all of these treatments affect the cell wall by either limiting the synthesis of phospholipids compounds (auxotrophic for biotin or glycerol or fatty acid) and membrane components (penicillin or ethambutol) or directly influencing the membrane state (addition of amine surfactants) (Eggeling and Sahm, 2001; Kramer, 2004). Hoischen and Kramer (1989) mentioned that L-glutatmate secretion is an energy dependent process, and is regulated by the metabolic status of cells. Gebhardt et al. (2007) demonstrated that the lack of mycolate is sufficient to induce L-glutamate secretion since Corynebacterial cells with a reduction in mycolate content were observed to show higher permeability for the uptake of substrates or the secretion of intracellular products into the extracellular medium. However, the appropriate concentration of those agents and the time (growth point) at which they are added into the fermentation medium have a major influence on L-glutamate production (Takinami et al., 1965; 1968). Biotin (vitamin H) is one of the most fascinating cofactors involved in central metabolic pathways of pro-and eukaryotic organisms (Streit and Entcheva, 2003). It is the most representative growth promoting substance generally used as a vitamin supplement in fermentation medium. In addition, biotin, the cofactor of acyl-CoA carboxylase, plays 62 a major role in fatty acid biosynthesis (Kramer, 1994). The L-glutamate production is remarkably increased when C. glutamicum is cultivated in presence of an optimum amount of biotin. The idea of cultivating this organism under biotin limitation is to provide biotin as a limiting factor in which the rate of fatty acid biosynthesis is decreased, and the composition of plasma membrane is altered (Eggeling and Sahm, 2001; Kramer, 1996). Hoischen and Kramer (1990) demonstrated that the deficiency of biotin results in the changes in phospholipids and fatty acids composition, decreases of phospholipids content, and ultimately increases the membrane permeability to L-glutamate. It is therefore always a challenge to determine the optimum concentration of biotin required for the highest production of L-glutamate. However, the literature showed that the optimum range of biotin (0.5 to 2.5g l-1) is dependent on the concentration of carbohydrate (10 to 15%) (Kramer, 1996; 2004). The production of L-glutamate measured in B. flavum at a biotin concentration of 3µg l-1 was 122µM ml-1, whereas it was 105, 22 and 0µM ml-1 at 6, 15 and 30µg l-1 of biotin, respectively (Shiio et al., 1962). The biotin concentration in laboratory based fermentation media where glucose is used as a carbon source can easily be controlled, however, it is very difficult to optimize the biotin level during industrial fermentation since molasses (feedstock that is generally used in biotech industry) often contains high levels of biotin (Kramer, 1996; 2004). In order to make the use of these feedstocks, addition of surfactants is generally applied for the production of L-glutamate (Hermann, 2003; Ikeda, 2002). It has been demonstrated that polyoxyethylene sorbitane monopalmitate (Tween 40) and polyoxyethylene sorbitane monostearate (Tween 60) are the most effective fatty acid derivatives for L-glutamate production, however, monolaurate and monoleate esters (Tween 20 and Tween 80, respectively) were observed to be unsuccessful (Shiio et al., 1963). In practical exercises, about 100mM of L-glutamate can be achieved from 220mM glucose by adding 1.5% Tween 60 into the growing culture of C. glutamicum (Eggeling et al., 2001). In addition, L-glutamate production in a biotin rich condition is dependent on the concentration of surfactants and the growth stage at which they are introduced into the culture medium (Takinami et al., 1965; 1968). It has been observed that the early stages of exponential 63 growth is the best suitable time for the addition of surfactant into the fermentation medium in order to obtain the highest production of L-glutamate (Naji et al., 2000). Marquet et al. (1986) demonstrated that addition of surfactants at the exponential phase of C. glutamicum growth results in decrease of cells volume and accumulates Lglutamate (100g l-1) in the extracellular medium. Naji et al. (2000) showed that the addition of surfactants, such as polyoxyethylene glycol (POEFE), polyoxypropylene glycol (POPFE) and polyoxyethylene–polyoxypropylene glycol (POAFE) influences not only the L-glutamate secretion but also affects the growth and respiration of C. glutamicum. Although POAFE and POPFE showed a tiny effect on the respiration of cells grown at the exponential growth phase, a significant decrease in respiration (28.5 and 75%, respectively) was observed in cells harvested at the stationary growth phase. However, the sterilization of surfactants is too complicated, and hence few alternative treatments have been conducted, such as addition of penicillin or tetracaine or ethambutol or oleic acid or glycerol in order to induce L-glutamate secretion in a biotin rich condition. Ethambutol (EMB) is widely used as anti-mycobacterial agent. The addition of EMB disorders the cell envelope and alters lipid composition of the plasma membrane of C. glutamicum that represents a permeability barrier. The critical target of EMB is to inhibit the pathway responsible for the biosynthesis of cell wall arabinogalactan. EMB causes less arabinan deposition in cell wall arabinogalactan, and reduces the content of cell wall bound mycolic acids (Radmacher et al., 2005). At a concentration of 10mg l-1, EMB reduced the specific growth rate and biomass yield of C. glutamicum. After 32h of fermentation, OD600 in control (without ethambutol) was 53, whereas it was approximately 18 at 10mg l-1 of EMB. However, the growth of this bacterium over a wide range of EMB concentrations (up to 500mg l-1) was almost identical. It has also been demonstrated that the addition of this anti-mycobacterial agent to the growing cultures of C. glutamicum caused L-glutamate efflux at rates of up to 15nmol min–1 (mg Dw)–1, whereas no efflux was observed in the absence of EMB (Radmacher et al., 2005). 64 It is now obvious from the literature that L-glutamate efflux involves an interaction of several cell wall components i.e., cytoplasmic membrane, peptidoglycan, mycolic acid layer and exporter, and the extent L-glutamate secretion is dependent on the treatments mentioned above. For example, the addition of penicillin led to the accumulation of only one third of L-glutamate produced by biotin limited condition (Kimura et al., 1999). On the other hand, Takinami et al. (1965) obtained the maximum L-glutamate yield (0.45g g-1) both in a biotin limited (3µg l-1) condition and by adding Tween 60 (1mg ml-1) into a biotin-sufficient medium. Moreover, C. glutamicum is found to have a number of highly elaborated regulatory networks (nitrogen control, for instance) (Burkovski, 2003a; b), and the cellular responses of this bacterium due to osmotic stress (Morbach and Kramer, 2003) revealed that L-glutamate production in C. glutamicum is not straightforward. Therefore, intensive research is still needed in order to minimize the problems encountered during C. glutamicum fermentation, and to increase the production of L-glutamate. Downstream processing is one of the most important and expensive steps in any bioprocess industry since the separation of desired product is often limited for the success of biological processes (Hermann, 2003). Hence, the development of a cost-effective purification process is crucial in order to reduce the investment and production costs. Bioprocess engineers have been trying to develop efficient methods in order to produce the product of interest in a purified form. The separation of biomass from fermentation broth is the first step of downstream processing that is usually accomplished either by gravitation-based techniques (centrifugation or decantation) or by filtration (Hermann, 2003). However, a significant amount of product might be lost during this biomass removal step. Once the biomass is removed from the fermentation broth, the purification of the product begins. In general, glutamic acid is recovered from its fermentation broth by removing the bacterial cells or any other impurities through centrifugation or filtration. Filtrate is then collected, evaporated and adjusted to a pH of 3.2 (iso-electric point of glutamic acid) by the addition of acid, and thereby crystalline glutamic acid is obtained through precipitation (Ikeda, 2002). As the evaporation of filtrate before acidification is very expensive and the purification by this common technique gives low 65 product yield (Hermann, 2003), proper investigations are still required in order to develop a suitable purification process of L-glutamic acid. In this study, considerable emphasis is given on the growth of different strains of C. glutamicum, substrate consumption as well as L-glutamate prodcution in presence of a range of biotin concentrations (0-200µg l-1), under the addition of different concentrations of surfactants [Tween 20 (4g l-1), Tween 80 (4g l-1) and Tween 40 (1-4g l1 )] and in presence of a range of ethambutol concentrations (0-500mg l-1). The objective of this research is to investigate the optimum amount of agent (biotin/surfactants/ethambutol) required for the highest production of L-glutamate by the fermentative cultivation of M. glutamicus. Furthermore, the influence of the addition time of surfactants to L-glutamate production will be examined by adding Tweens at two different growth stages (both start and exponential) of fermentation. The main purpose of this investigation is to make a comparative study among the different treatments generally applied for the production of L-glutamate by M. glutamicus fermentation, and thereby the yield and productivity of this amino acid can be increased significantly. In addition, a simple purification method based on centrifugation and acid-base addition will be developed by which L-glutamate is separated from fermentation broth in a purified form. 66 3.2. Material and Methods 3.2.1. Chemicals Peptone from pancreatically digested casein and meat extract were obtained from VWR (Merck, UK). Yeast extract and bacteriological agar were bought from Oxoid, UK; and D-glucose, urea, NaCl and all other chemicals were purchased from Fisher, UK unless otherwise mentioned. Tween (20, 40 and 80), 3-[N-Morpholino] propanesulfonic acid (MOPS) and BHI Medium were procured from Fisher, UK. Ethambutol, biotin and 3, 4-Dihydroxybenzoic acid were purchased from Sigma-Aldrich, UK. 3.2.2. Organism and cultivation The bacterial strains used for this study were Brevibacterium lactofermentum DSM 1412 (Liebl et al., 1991), B. flavum DSM 20411 (Collins et al., 1979; Suzuki et al., 1981) and Micrococcus glutamicus DSM 20300 (Collins et al., 1977; Suzuki et al., 1981; Yamada and Komagata, 1970; Yamada et al., 1976) supplied by the German Collection of Microorganisms and Cell Culture (DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH). B. lactofermentum DSM 1412 was cultivated in Nutrient Medium (5g l-1 peptone, 3g l-1 meat extract, 1000ml distilled water, pH adjusted to 7.0), whereas B. flavum DSM 20411 and M. glutamicus DSM 20300 were cultivated in Medium 53 (10g l-1 peptone, 5g l-1 yeast extract, 5g l-1 glucose, 5g l-1 NaCl, 1000ml distilled water, pH adjusted to 7.2-7.4) according to the supplier’s instructions. pH of all the solutions used in this study was adjusted by Microprocessor pH Meter 210 (Hanna Instruments, USA). Agar plates with respective media were prepared by adding 15g l-1 agar to the above-mentioned compositions. The resulting solution was dissolved by heating under stirring, and thereafter autoclaved (Astell Scientific, UK). The media were cooled to about 50°C and mixed gently before pouring approximately 30-40ml of solution into the sterile Petri dishes. The media were allowed to solidify, the agar plates were dried overnight, and thereafter stored at 4°C in an inverted position. A loop of growing culture cultivated on both Nutrient Medium and Medium 53 was transferred on to the respective agar plates, streaked under the aseptic condition, and thereafter incubated (Camlab, UK) at 30C until the colonies were visible (for 48-72h). 67 These plates (stock cultures) were preserved in refrigerator for further experiments. The same procedure was carried out at least for five generations in order to make those bacteria suitable for the growth study and L-glutamate fermentation. However, fresh stock cultures were generated every month throughout the study. Inocula were prepared by selecting a single colony from the stock agar plates and transferring into Seed Medium (Tatsuya et al., 1997) or Brain Heart Infusion (BHI) Medium depending on the purpose of investigation. In the case of growth study, bacteria were cultivated in Seed Medium (30g l-1 glucose, 3g l-1 yeast extract, 4g l-1 urea, 1g l-1 potassium dihydrogen phosphate, 20mg l-1 ferrous sulphate and 20mg l-1 manganese sulphate, 1000ml distilled water, pH adjusted to 7.0) in which Soyabean protein hydrolaste used in the original composition was replaced by yeast extract. A colony from the stock agar plate was cultivated overnight into 3.5% BHI Medium in order to prepare the preculture for L-glutamate production. In both cases, the cultivation was carried at 30C and shaken at 220rpm in an orbital incubator shaker (Weiss Gallenkamp, UK). Both the Seed and BHI Media were sterilized at 110C for 10min, and adjusted to pH 7.0 before inoculating the colonies from stock agar plates. All the experiments were performed in 250ml shake flasks containing 50ml of culture media. 3.2.3. Microbial growth measurement Microbial cells growth is generally measured by UV-visible spectrophotometer, dry weight measurement (g Dw) and cell counting through the use of a haemocytometer both in laboratory and biotech industry. In most experiments carried out throughout the study, however, the growth of different strains of C. glutamicum was monitored by measuring the absorbance at 600nm (600) using spectrophotometer [S1200, WPA (a wholly owned subsidiary of Biochrom Ltd)]. Bacterial cultures or samples were diluted (if concentrated) to keep the absorbance within the range of 0.1-0.3, and thereafter multiplied with the dilution factor in order to obtain the actual optical density (OD). In addition, the determination of biomass concentration (g Dw l-1) was started with the filtration of a known amount of sample followed by drying the membrane filter (Whatman plain cellulose acetate, white, 0.2µm pore size, 47mm diameter, purchased 68 from Fisher Scientific, UK) in a microwave oven. The following steps were carried out for the measurement of biomass The membrane filters were dried for 10min at 150W in a microwave oven. The filter papers were cooled at RT for 15min in a desiccator and weighed. Approximately 2-5ml of fermentation broth was filtered and washed with the same amount of distilled water. The filter papers were dried in the microwave oven for 15min at 150W. The papers were cooled again at RT for 15min in a desiccator and weighed. The amount of biomass was determined by substracting the weight of filter papers before filtration from the weight of filter papers after filtration. 3.2.4. Calculation of maximum specific growth rate (µmax) Specific growth (µ) rate is defined as the increase in cell mass per unit of cell mass per unit of time (g. g-1. h-1). However, the widely used unit of growth rate is h-1. The specific growth provides a quantitative expression of the ability of microorganisms to grow on a particular substrate. In an environment where the unlimited cell growth is possible, the growth rate of cells (dx/dt) is proportional to the density of population (cells ml-1, expressed by x). dx/dt=µmax x Where, µmax is described as the maximum specific growth rate under which the substrate concentration is high enough that does not impose any limitation to the reaction process. In this study, µmax was calculated by taking the slope of a plot of cell density (OD), corresponding to the exponential growth phase versus time. 3.2.5. L-glutamate production in M. glutamicus under biotin limited condition L-glutamate was produced in M. glutamicus by cultivating cells in CGXII Minimal Medium that has been developed by Keilhauer and his co-workers. The preparation of CGXII Minimal Medium is as follows- 69 Preparation of CGXII Minimal Medium: 50% (w/v) glucose solution 50g glucose was dissolved in 60ml distilled water by heating under stirring. After complete solubilization, distilled water was added up to 100ml and thereafter autoclaved. CaCl2 1g CaCl2 was dissolved in 100ml of distilled water. Biotin 20mg biotin was transferred in 100ml of distilled water, dissolved by heating, and the resulting solution was sterilized by 0.2µm Nalgene filter. Trace elements 1g FeSO4 × 7H2O 1g MnSO4 × H2O 0.1g ZnSO4 × 7H2O 0.02g CuSO4 0.002g NiCl2 × 6H2O 90ml distilled water was added and dissolved the above salts by adding of concentrated HCl. The final pH of the resulting solution was kept about 1.0. The solution was then sterilized by 0.2µm Nalgene filter. 3, 4-Dihydroxybenzoic acid 300mg of 3, 4-Dihydroxybenzoic acid was added to 8ml of distilled water. The solution was dissolved by adding of about 1ml of 10N NaOH, sterilized by filtration and stored at 4°C. CGXII-salts minus biotin 20g (NH4)2SO4 5g urea 70 1g KH2PO4 1g K2HPO4 0.25g MgSO4 × 7H2O 42g MOPS (3-[N-Morpholino] propanesulfonic acid) 1ml CaCl2 solution All the above-mentioned constituents were weighed accurately and transferred into a bottle. 800ml of distilled water was added and dissolved the constituents with stirring. The resulting solution was adjusted to pH 7.0 with 1N NaOH, filled up the bottle with distilled water up to 920ml (again adjusted to pH 7.0) and thereafter autoclaved. 1ml trace element solution was added into the sterilized solution. CGXII minus biotin was prepared by adding 1ml of 3, 4-Dihydroxybenzoic acid and 80ml of 50% (w/v) glucose solution. Glutamate production in CGXII Minimal Medium: Preculture preparation (Day 1) One colony from a fresh Luria-Bertani (LB) agar plate was inoculated into 50ml BHI medium and cultivated overnight in a 500ml Erlenmeyer flask on an orbital incubator shaker at 220rpm and 30°C. Biotin depletion (Day 2) 50ml of CGXII minus biotin medium was dispensed into a 500ml Erlenmeyer flask and labelled the flask “5” that stands for 5μg of biotin per liter. The biotin stock solution (200µg ml-1) was diluted 1:100 with sterile distilled water, and added 125μl of diluted solution into the flask labelled “5”. The OD (600nm) of the overnight BHI preculture was measured, and the appropriate amount of inoculum was transferred into a sterile 15ml Falcon tube and centrifuged (Heraeus, Germany) at 3000g for 10min. The cell pellets were resuspended in a few milliliters of CGXII Medium and the resulting volume was transferred into the Erlenmeyer flask labelled “5” where the starting OD600 was 0.1. The flask was then incubated on an orbital incubator shaker at 220rpm and 30°C. 71 Glutamate production (Day 3) 50ml of the CGXII minus biotin medium was dispensed into seven 500ml Erlenmeyer flasks labelled “0”, “0.5”, “1.0”, “1.5”, “2.0”, “2.5”and “200” which stand for 0 (without biotin), 0.5, 1, 1.5, 2, 2.5 and 200μg of biotin per liter, respectively. The biotin stock solution was diluted 1:10 and 1:100 with sterile distilled water and appropriate amount of biotin was transferred into the mentioned flasks, whereas no biotin was added to the flask labelled “0”. The OD (600nm) of the biotin depletion culture was measured, and the appropriate amount of inoculum was transferred parallelly into seven sterile 15ml Falcon tube and centrifuged (Heraeus, Germany) at 3000g for 10min. Cell pellets were dissolved in few milliliters of medium, and the resulting volumes were poured into the corresponding flasks where the starting ODs at 600nm were 1.0. The flasks were incubated on an orbital incubator shaker at 220rpm and 30°C, and 1ml of sample from the mentioned flasks was collected randomly over a period of 72h in order to determine the OD600, glucose consumption and glutamate production. 3.2.6. L-glutamate production in M. glutamicus by surfactant addition In this study, three different surfactants (Tween 20, Tween 40 and Tween 80) were added into CGXII Minimal Medium (Section 3.2.5) in order to excrete L-glutamate under biotin- rich (200µg l-1) cultivation of M. glutamicus. Preculture propagation (day 1) was the same as the method used in Section 3.2.5. 50ml of the CGXII minus biotin medium was dispensed into seven 500ml Erlenmeyer flasks labelled “0”, “TW 20 (4)”, “TW 40 (1)”, “TW 40 (2)”, “TW 40 (3)”, “TW 40 (4)”and “TW 80 (4)” which stand for 0 (without Tween), 2g l-1 Tween 20, 1 to 4g l-1 Tween 40 and 2g l-1 Tween 80, respectively. The OD600 of the overnight BHI preculture was measured, and the appropriate amount of inoculum was transferred parallelly into seven sterile 15ml Falcon tube and centrifuged (Heraeus, Germany) at 3000g for 10min. Cell pellets were dissolved in few milliliters of medium, and the resulting volumes were poured into the corresponding flasks where the starting ODs at 600nm were 0.5. Tween was added into the flasks both at the start of fermentation and exponential phase. The flasks were then incubated on an orbital incubator shaker at 220rpm and 30°C, and samples were collected randomly over a period of 72h to determine the OD600, glucose consumption and glutamate production. 72 3.2.7. L-glutamate production in M. glutamicus by ethambutol addition A range of ethambutol concentrations (10-500mg l-1) was added into CGXII Minimal Medium (Section 3.2.5) in order to excrete L-glutamate under biotin rich (200µg l-1) condition of M. glutamicus. Preculture propagation (day 1) was the same as the procedure used in Section 3.2.5. 50ml of the CGXII minus biotin medium was dispensed into eight 500ml Erlenmeyer flasks labelled “0”, “10”, “20”, “30”, “50”, “100”, “200’’ and “500” which stand for 0 (without ethambutol), 10, 20, 30, 50, 100, 200 and 500mg l-1, respectively. The OD600 of the overnight BHI preculture was measured, and the appropriate amount of inoculum was transferred parallelly into seven sterile 15ml Falcon tube and centrifuged (Heraeus, Germany) at 3000g for 10min. Cell pellets were dissolved in few milliliters of medium, and the resulting volumes were poured into the corresponding flasks where the starting ODs at 600nm were 0.5. Ethambutol was only added at the exponential phase of fermentation. The flasks were then incubated on an orbital incubator shaker at 220rpm and 30°C, and samples were collected randomly over a period of 72h in order to determine the OD600, glucose consumption and glutamate production. 3.2.8. Quantification of glucose, L-glutamate and other amino acids The quantification of substrate (glucose), L-glutamate and all the other amino acids were achieved with the use of AAA-DirectTM Amino Acid Analysis System (Dionex, UK). This method has been developed in such a way that glucose and a range of amino acids are separated by gradient (Table 3.1) anion exchange chromatography, and simultaneously determined their concentration through the Pulsed Electrochemical Detector of HPLC (ED40, Dionex, UK) (Ding et al., 2002; Yu et al., 2002). Preparation of eluents and standards Eluent 1: Deionised water Approximately 2.0L of Milli Q water (Direct Q5, Millipore, USA) with a resistivity of 18.2 M-cm at 25°C were degassed using helium, and then transferred into the eluent bottle. The bottle was sealed immediately in order to minimize the time to expose with atmosphere. 73 Eluent 2: 0.250 M Sodium hydroxide About 986ml of degassed Milli Q water and 14ml of 46-48% NaOH (Fisher, UK) were transferred into a volumetric flask, and mixed properly by inversion. The solution was then poured immediately into the eluent bottle supplied by the manufacturer, and sealed properly to minimize the carbon dioxide absorption. The pressure was allowed to build up inside the bottle, and the cap was reopened briefly several times in order to replace the trapped air by the inert gas. Eluent 3: 1.0 M Sodium acetate Approximately 450ml of degassed 18.2M-cm water was added into a sodium acetate container (Dionex, UK), and shaken until the contents were completely dissolved. The resulting sodium acetate solution was then transferred into a volumetric flask (1.0L). The sodium acetate container was rinsed with approximately 100ml of degassed water, transferred into the flask and filled with the water up to the mark. The eluent was then mixed properly, and transferred into the eluent bottle. All of these procedures were done quickly in order to minimize the time to exposure with atmospheric carbon dioxide. Standard The standard amino acids obtained from Sigma (AAS18-10X1ML) contained amino acids at 2.5µM ml-1 except cystine at 1.25µM ml-1. A stock solution of glucose and amino acids was prepared by mixing 0.5ml standard (2.5mM) with 12ml glucose solution (0.1mM), which contained 100µM of each amino acid, 50µM of cystine and 100µM of glucose (3.1). This stock solution was stored in aliquots at -20C prior to use. Gradient conditions for analysis of amino acids and carbohydrates The gradient conditions for analysis of amino acids and carbohydrate are summarized in Table 3.1. 25µl of standard/sample was injected for analysis, where the eluent flow rate and column temperature were adjusted to 0.25ml min-1 and 30C. 74 Figure 3.1 Simultaneous analysis of glucose and amino acids in fermentation broth via HPLC. Table 3.1 Gradient conditions for analysis of amino acids and carbohydrates Time (min) %E1 %E2 %E3 Comments Init 84 16 0 Autosampler fills the sample loop 0.0 84 16 0 Valve from load to inject 0.0 84 16 0 Begin hydroxide gradient 12.1 68 32 0 16.0 68 32 0 24.0 36 24 40 40.0 36 24 40 40.1 20 80 0 42.1 20 80 0 42.2 84 16 0 Equilibrate to starting conditions 65.0 84 16 0 Ready for the next run Begin acetate gradient Column wash with hydroxide 75 3.2.9. Recovery of glutamic acid from fermentation broth Even though satisfactory yields of glutamic acid were obtained by the above mentioned treatments of M. glutamicus, numerous challenges have already been mentioned in the literatures that make the recovery of this amino acid extremely difficult and expensive. A purification method for isolating glutamic acid by adding a zinc salt (ZnSO4.7H2O) into the culture liquid was successfully developed in which bacterial cells or any other impurities were separated by means of centrifugation. A systematic diagram is presented as follows: Fermentation broth Centrifuged at 4600g for 1hr at 4C (Heraeus, Germany), and collected the supernatant (200ml) ZnSO4.7H2O (1:1.32 ratio) was added into the supernatant and dissolved the salt properly pH was adjusted to 6.3 by the addition of NH4OH solution (25-30% NH3), stirred the resulting solution for 30min Centrifuged the solution at 4600g for 30min at 4C, and collected the precipitated zinc glutamate The precipitated salt was washed with dH2O, and slurried with 10ml of dH2O 50% NaOH solution was added until the pH reached to 12.3, stirred the solution for 1h The solution was centrifuged at 4600g for 30min at 4C, and collected the precipitated sodium glutamate The precipitated sodium glutamate was washed with dH2O, and slurried with 10ml of dH2O 76 Concentrated H2SO4 was added in order to adjust the pH 3.2, stirred the solution for 1h The solution was centrifuged at 4600g for 30min at 4C, and removed the supernatant The precipitated L-glutamate acid was collected, and dried at room temperature (RT) 1.49g of L-glutamate was weighed that is approximately 89% recovery of the HPLC measurement 77 3.3. Results 3.3.1. Growth properties of the different strains of Corynebacteria in a defined medium To examine the growth properties of C. glutamicum strains i.e., B. lactofermentum, B. flavum and M. glutamicus, colonies from the respective bacterial cultures grown on agar plates (stock) were aseptically inoculated in 250ml shake flasks containing Seed Medium. The cultivation was carried out overnight at 30C and the flasks were shaken on an orbital incubator shaker (220rpm). Appropriate amount of growing cultures were then transferred in new flasks having Seed Medium in such way the starting ODs in all flasks were around 1.0. Each strain of C. glutamicum was cultivated in three shake flask (i.e., total of 9), and the number of samples analyzed in order to determine the growth of cells (OD600) and glucose consumption on each occasion was two. Samples were collected throughout the cultivation at certain intervals for the measurement of cells growth and residual glucose concentrations. The growth of cells was determined either by optical density (OD) at 600nm or dry weight (g Dw) measurements. A correlation between OD and dry weight measurement is presented in Figure 3.2. High Performance Liquid Chromatography (HPLC) was used in order to determine the residual glucose concentrations in samples. In Figure 3.3a, the growth of cells and substrate consumption of three different strains of C. glutamicum over time can be seen; and it is clear that all the strains started growing with approximately 4h of lag phase, grew exponentially up to 12h and finally shifted to the stationary phase after 13-14h of inoculation. The ODs measured after 24h of cultivation were 44, 45 and 44 (Figure 3.3a) in the case of B. lactofermentum, M. glutamicus and B. flavum, respectively. The exponent of each curve was considered as the specific growth rate (µ) that was almost constant to 0.38h-1 in the case of all the strains investigated in this study (Figure 3.3b). In addition, this study showed that the glucose (Glu) available (30g l-1) in Seed Medium was consumed within 20h of cultivation, irrespective of the strains of C. glutamicum considered for this investigation (Figure 3.3a). However, no prominent differences in growth properties (cell biomass, specific growth rate and substrate consumption) were observed among these three strains. 78 50 OD at 600 nm 40 y = 4.2923x - 1.143 2 R = 0.9992 30 20 10 0 0 2 4 6 8 10 12 Biomass, g Dw/l Figure 3.2 A correlation between OD and dry weight measurement of M. glutamicus growth. 50 35 OD at 600nm 25 30 20 20 15 10 10 5 0 0 0 5 10 15 20 25 30 Time after inoculation, hr OD, B. lactofermentum OD, M. glutamicus OD, B. flavum Glu, B. lactofermentum Glu, M. glutamicus Glu, B. flavum Figure 3.3a Growth studies of different strains of Corynebacteria on Seed Medium. 79 Glucose, g/l 30 40 30 y = 0.6419e 0.3751x y = 0.5844e 0.383x y = 0.5309e 0.3788x R2 = 0.9993 OD at 600nm 25 R2 = 0.9964 R2 = 0.9993 20 15 10 5 0 0 2 4 6 8 10 12 Time after inoculation, hr B. lactofermentum M. glutamicus B. flavum Figure 3.3b The growth (OD600) of different strains of Corynebacteria on Seed Medium. 3.3.2. L-glutamate production by the different strains of Corynebacteria under biotin limited condition The important feature of cultivating different strains of Corynebacteria under the supply of limited amount biotin was to supply a biotin concentration that is low enough to trigger L-glutamate secretion but high enough to allow sufficient growth of bacteria. A colony from the stock agar plate of M. glutamicus was initially cultivated (overnight) in BHI medium (Day 1). In order to optimize the appropriate concentration of biotin essential for L-glutamate production, a precultivation step was carried out in which the requirement of biotin for cells growth was depleted (Day 2). The overnight culture of M. glutamicus obtained from the biotin depletion step (Day 2) was then transferred in CGXII Minimal Medium in which a range of biotin concentrations i.e., 0, 0.5, 1.0, 1.5, 2.0, 2.5 and 200µg l-1 was added at the start of fermentation. The idea of supplying a range of biotin concentrations was to determine the optimum biotin required for the highest production of L-glutamate. At each concentration of biotin, the preculture of M. glutamicus collected from day 2 was transferred into three shake flasks (i.e., total of 21) containing CGXII Minimal Medium, and the number of samples analyzed in order to determine the growth of cells 80 (OD600), glucose consumption and L-glutamate production on each occasion was two. Figure 3.4 depicts the growth of M. glutamicus and glucose consumption in presence of a range of biotin concentrations. The result showed that increasing the concentration of biotin is fermentation medium increased both cell biomass and the rate of glucose consumption. The ODs after 48h of cultivation were measured and found to be 5, 18, 31, 32, 34, 40 and 53 in cultures containing biotin at 0, 0.5, 1.0, 1.5, 2.0, 2.5 and 200µg l-1, respectively. The residual glucose concentrations measured after 72h of fermentation were 3, 0.7, 0.4, 0.13, 0.1 and 0g l-1 in cultures containing biotin at 0.5, 1.0, 1.5, 2.0, 2.5 and 200µg l-1, respectively (Figure 3.4). When biotin was not added in the CGXII Minimal Medium, only 30% glucose was observed to be consumed even after 72h of fermentation. The amounts of L-glutamate produced after 48h of fermentation were 41, 56, 28, 20 and 8mM in presence of 0.5, 1.0, 1.5, 2.0 and 2.5µg l-1 biotin, respectively (Figure 3.5). Although the highest production of L-glutamate by M. glutamicus was measured as 57mM (after 52h) at a biotin concentration of 1µg l-1, the production this amino acid at 0.5µg l-1 biotin was 40mM (after 52h) which is a reasonably significant level of production. In contrast, the amount of L-glutamate measured in control (without biotin) and the culture cultivated at 200µg l-1 biotin were 1.5 and 0.1mM, respectively. The results confirmed that cell growth, glucose consumption and L-glutamate production are completely dependent on biotin concentration supplied in CGXII Minimal Medium. Moreover, the results revealed that the optimum concentration of biotin required for Lglutamate production by M. glutamicus is approximately 1µg l-1 (Figure 3.5). Since the previous study (Figure 3.3a) clearly demonstrated that biotin has an influence on M. glutamicus growth, the specific growth rates of this organism under the supply of different concentrations of biotin were investigated. Table 3.2 shows that increasing the concentration of biotin in CGXII Minimal Medium increased the specific growth rate of M. glutamicus, however, little cell growth occurred in the absence of biotin (Figure 3.4). As the earlier investigation demonstrated that there is no difference in growth properties and glucose consumption among the three strains, the production of L-glutamate by these strains under the presence of 1µg l-1 biotin was also examined. The results showed that 81 60 45 40 50 35 30 25 30 20 20 15 10 10 5 0 0 0 10 20 30 40 50 60 70 Time after inoculation, hr OD, 0µg/l Glu, 0µg/l OD, 0.5µg/l Glu, 0.5µg/l OD, 1µg/l Glu, 1µg/l OD, 1.5µg/l Glu, 1.5µg/l OD, 2.0µg/l Glu, 2.0µg/l Figure 3.4 Effect of different concentrations of biotin on M. glutamicus growth and glucose consumption. 82 OD, 2.5µg/l Glu, 2.5ug/l OD, 200µg/l Glu, 200µg/l 80 Glucose, g/l OD at 600nm 40 70 60 Glutamate, mM 50 40 30 20 10 0 0 20 22 24 26 48 Time after inoculation, hr 0µg/l 0.5µg/l 1.0µg/l 1.5µg/l 2µg/l 2.5µg/l Figure 3.5 L-glutamate production in presence of different concentrations of biotin by M. glutamicus. 83 200µg/l 52 72 Table 3.2 Effect of different concentrations of biotin on specific growth rate of M. glutamicus Concentration of biotin (µg l-1) Specific growth rate (h-1) 0 0.12 0.5 0.16 1.0 0.18 1.5 0.18 2.0 0.18 2.5 0.19 200 0.21 the productions of L-glutamate measured after 48h of fermentation were 54, 53 and 56mM in the case of B. lactofermentum, B. flavum and M. glutamicus, respectively, indicating that there is no notable difference in L-glutamate production among the three strains of C. glutamicum considered in this study (Figure 3.6). 70 60 Glutamate, mM 50 40 30 20 10 0 0hr 24hr 48hr 72hr Time after inoculation, hr M. glutamicus B. lactofermentum B. flavum Figure 3.6 L-glutamate production by different strains of Corynebacteria under biotin limited (1µg l-1) condition. 84 3.3.3. Secretion of L-glutamate produced by M. glutamicus due to surfactant addition The overnight culture of M. glutamicus cultivated in BHI medium was transferred into the CGXII Minimal Medium in which 200µg l-1 was already added at the start of fermentation. Tween 20 (4g l-1), Tween 80 (4g l-1) and Tween 40 (1-4g l-1) were added both at the start (ST) and exponential (EXP) growth phase of M. glutamicus in order to investigate the most favourable time of their addition into the fermentation medium. At each concentration of surfactants, the preculture of M. glutamicus grown in BHI medium was transferred into three shake flasks (i.e., total of 21) containing CGXII Minimal Medium, and the number of samples analysed in order to determine the growth of cells (OD600), glucose consumption and L-glutamate production on each time was two. The results showed that addition of Tween 40, irrespective of the concentration and growth phases at which it was added into CGXII Medium, reduced the growth of M. glutamicus, decreased the rate of glucose consumption, however, excreted L-glutamate into the extracellular medium to a certain degree in spite of having sufficient amount of biotin (200µg l-1) in the fermentation medium. The ODs after 48h of cultivation were measured and found to be 49, 37, 35, 33, 30 and 54 in cultures containing Tween 20 (4g l-1), Tween 40 (1g l-1), Tween 40 (2g l-1), Tween 40 (3g l-1), Tween 40 (4g l-1) and Tween 80 (4g l-1), respectively, where surfactants were added at the start of fermentation (Figure 3.7). On the other hand, ODs measured after 48h of fermentation were 51, 40, 37, 35, 33 and 55, respectively, in cultures where these agents were added after 8h of cultivation (Figure 3.8). In the case of control (without surfactant), however, the OD was 52 (after 48h). At both conditions, the growth of cells was observed to decrease after the addition of Tween 40 into the fermentation medium, nevertheless, cells started to grow exponentially after a while. The results also demonstrated that the inhibition of cell’s growth due to Tween 40 addition at the start of fermentation was intense, and finally produced less biomass as compared to the cultures in which Tween 40 was added at the exponential growth phase (after 8h of cultivation). In addition, M. glutamicus cells that were grown with Tween 40 at the start of cultivation showed slower glucose consumption than that of exponential addition. The 85 residual glucose concentrations after 72h of fermentation were measured and found to be 3.5, 4.0, 5.4 and 7.0g l-1 in cultures grown at 1, 2, 3 and 4g l-1 Tween 40 (start addition), respectively, whereas there was no glucose left in cultures in which Tween 40 was added exponentially. From these experiments, however, it is observed that the growth of cells was not inhibited due to the addition of Tween 20 and 80 in CGXII Minimal Medium Like biomass and glucose consumption, the production of L-glutamate varied depending on the concentration and addition time of Tween 40. The amounts of Lglutamate produced after 48h of fermentation were 20, 22, 19 and 17mM (Figure 3.9) at 1, 2, 3 and 4g l-1 Tween 40 (start addition), respectively, whereas the productions were 39, 45, 40 and 36mM (Figure 3.10) in cultures where Tween 40 was added to the exponential growth phase of M. glutamicus. However, the results clearly demonstrated that the highest amount of L-glutamate production was observed by supplying of 2g l-1 Tween 40 to a biotin rich (200µg l-1) CGXII Minimal Medium, irrespective of the growth phases of M. glutamicus at which this surfactant was added. After 48h of cultivation, in contrast, the amounts of L-glutamate measured in control, cultures grown at 4g l-1 Tween 20 and 4g l-1 Tween 80 were 0.2, 0.5 and 0.4mM (start addition) and 0.4, 1.9 and 3.8mM (exponential addition), respectively. Nevertheless, the results clearly demonstrated that addition of Tween 20 and 80, regardless of the growth phases of M. glutamicus at which these surfactants were added, were not effective in excreting L-glutamate by M. glutamicus. 86 60 45 40 50 35 30 25 30 20 20 15 10 10 5 0 0 0 10 20 30 40 50 60 70 80 Time after inoculation, hr Control (No TW), OD TW-20 (4g/l), ST OD TW-40(1g/l), ST OD TW-40(2g/l), ST OD TW-40(3g/l), ST OD TW-40(4g/l), ST OD TW-80(4g/l), ST OD Control (No TW), Glu TW-20 (4g/l), ST Glu TW-40(1g/l), ST Glu TW-40(2g/l), ST Glu TW-40(3g/l), ST Glu TW-40(4g/l), ST Glu TW-80(4g/l), ST Glu Figure 3.7 Effect of a range of surfactants (added at the start of cultivation) on M. glutamicus growth and glucose consumption. 87 Glucose, g/l OD at 600nm 40 70 45 40 60 35 50 40 25 30 20 Glucose, g/l OD at 600nm 30 15 Tween addition 20 10 10 5 0 0 0 10 20 30 40 50 60 70 80 Time after inoculation, hr Control (No TW), OD TW 40 (4g/l), EXP OD TW 40 (2g/l), EXP Glu TW 20 (4g/l), EXP OD TW 80 (4g/l), EXP OD TW 40 (3g/l), EXP Glu TW 40 (1g/l), EXP OD Control (No TW), Glu TW 40 (4g/l), EXP Glu TW 40 (2g/l), EXP OD TW 20 (4g/l), EXP Glu TW 80 (4g/l), EXP Glu TW 40 (3g/l), EXP OD TW 40 (1g/l), EXP Glu Figure 3.8 Effect of a range of surfactants (added at the exponential phase of growth) on M. glutamicus growth and glucose consumption. 88 50 Glutamate, mM 40 30 20 10 0 0hr 24hr 48hr 72hr Time after inoculation, hr Control, ST TW-40(3g/l), ST TW-20 (4g/l), ST TW-40(4g/l), ST TW-40(1g/l), ST TW-80(4g/l), ST TW-40(2g/l), ST Figure 3.9 L-glutamate production by M. glutamicus under different concentrations of surfactants (added at the start of cultivation). 50 Glutamate, mM 40 30 20 10 0 0hr 24hr 48hr 72hr Time after inoculation, hr Control, EXP TW-40(3g/l), EXP TW-20 (4g/l), EXP TW-40(4g/l), EXP TW-40(1g/l), EXP TW-80(4g/l), EXP TW-40(2g/l), EXP Figure 3.10 L-glutamate production by M. glutamicus under different concentrations of surfactants (added at the exponential phase of growth). 89 3.3.4. Secretion of L-glutamate produced by M. glutamicus due to ethambutol addition The overnight culture of M. glutamicus cultivated in BHI medium was transferred into the CGXII Minimal Medium in which 200µg l-1 was added at the start of fermentation. A range of EMB concentrations (10-500mg l-1) was added to the exponentially (8h after inoculation) grown M. glutamicus in order to excrete L-glutamate. The idea of supplying a range of EMB concentrations was to determine the optimum level of ethambutol excreting the highest amount of L-glutamate. At each concentration of ethambutol, the preculture of M. glutamicus grown in BHI medium was transferred into three shake flasks (i.e., total of 24) containing CGXII Medium, and the number of samples analyzed in order to determine the growth of cells (OD600), glucose consumption and L-glutamate production on each occasion was two. The results showed that addition of EMB reduced both the growth of M. glutamicus and glucose consumption as compared to the control (Figure 3.11). The ODs measured at 600nm after 48h of fermentation were 39, 36, 33, 32, 29, 29, and 27 in the case of cells treated with 10, 20, 30, 50, 100, 200, and 500mg l-1 EMB, respectively, whereas the OD600 in control (without EMB) was 52. In the case of control, however, all the available glucose (initially, 40g l-1) was observed to be consumed after 32h of fermentation. On the other hand, the concentrations of residual glucose in samples (culture that was supplied with 100mg l-1 of EMB) collected after 36 and 48h of fermentation were 5.0 and 3.8g l-1, respectively. In addition, the results showed that the production of Lglutamate increased due to the increase of EMB concentration (up to100mg l-1) in the CGXII Minimal Medium. After 48h of fermentation, the amounts of L-glutamate measured in samples supplied with 10, 20, 30, 50, 100, 200, and 500mg l-1 of EMB were15, 18, 24, 34, 49, 47 and 48mM (Figure 3.12). In the case of control, on the contrary, only 0.14mM L-glutamate was measured. The result from this experiment showed that the optimum amount of ethambutol needed for the highest secretion of Lglutamate was 100mg l-1, and the enhancement of production was not possible by increasing the concentration of ethambutol more than 100mg l-1. In order to determine the most suitable treatment that can be applied for glutamic acid production, the amounts of 90 60 45 40 50 35 30 25 30 20 20 Glucose, g/l OD at 600nm 40 15 Ethambutol addition 10 10 5 0 0 0 10 20 30 40 50 60 70 80 Time after inoculation, hr Control (No E), OD 10mg/ml E, OD 20mg/ml E, OD 30mg/ml E, OD 50mg/ml E, OD 100mg/ml E, OD 500mg/ml E, OD 200mg/ml E, OD Control (No E), Glu 10mg/ml E, Glu 20mg/ml E, Glu 30mg/ml E, Glu 50mg/ml E, Glu 100mg/ml E, Glu 500mg/ml E, Glu 200mg/ml E, Glu Figure 3.11 Effect of a range of concentrations of ethambutol (E) on M. glutamicus growth and glucose consumption. 91 60 50 Glutamate, mM 40 30 20 10 0 0mg/l 10mg/l 20mg/l 30mg/l 50mg/l 100mg/l 200mg/l Concentrations of Ethambutol 24hr 48hr 72hr Figure 3.12 L-glutamate production by M. glutamicus due to the exponential addition of a range of ethambutol concentrations. 92 500mg/l L-glutamate produced by the fermentative cultivations of M. glutamicus under the three different treatments, such as biotin limitation, surfactant addition and ethambutol addition were plotted in a graph. Figure 3.13 shows that the productions of glutamic acid after 48h fermentation were 56, 45 and 49mM, respectively, indicating that the production of Lglutamate in biotin limited condition is significantly higher than those obtained under the other growth conditions. 70 Glutamate, mM 60 50 40 30 20 10 0 24hr 48hr 72hr Time after inoculation, hr 1µg/l biotin 200µg/l biotin, Tween 40 (2g/l) (EXP) 200µg/l biotin, Ethambutol (100mg/l) (EXP) Figure 3.13 L-glutamate production by M. glutamicus fermentation under three different conditions. 93 3.4. Discussion In this research, L-glutamate production was investigated by the three different strains of Corynebacteria i.e., B. lactofermentum, B. flavum and M. glutamicus cultivated on CGXII Minimal Medium under biotin limited condition. It is clearly demonstrated that there are no prominent differences in growth properties, substrate consumption and Lglutamate production among the three different strains of Corynebacteria (Figure 3.3a; 3.6). A study on DNA homology among the Corynebacterial strains, such as B. lactofermentum, B. flavum, B. divaricatum, M. glutamicus and C. lilium has already been revealed that there are no prominent differences among the various glutamic acid bacteria (Goodfellow et al., 1976). Hence, these bacteria can all be grouped within the taxon of Corynebacterium sensus stricto, and be regarded as a single species of the genus Corynebacterium (Eikmanns et al., 1991). Since the discovery of glutamic acid production by Corynebacteria fermentation, many researchers investigated the action of biotin, surfactants, penicillin, ethambutol and oleic acid or glycerol on the membrane permeability of these bacteria (Demain and Birnbaum, 1968; Eggeling and Sahm, 2001; Ikeda et al., 1972; Kanzaki et al., 1967; Okazaki et al., 1967; Radmacher et al., 2005; Shiio et al., 1962; Takinami et al., 1965; 1968). However, the influence of these agents on the production of L-glutamate is not well-established so far. In this study, the effect of biotin, Tween 40 and ethambutol on the production of L-glutamate by M. glutamicus fermentation was investigated. The results clearly showed that biotin has an important influence on the growth of M. glutamicus. In biotin rich condition (200µg l-1), the OD at 600nm was 53, whereas it was 18 and 40 in presence of 0.5 and 2.5µg l-1 biotin, respectively, indicating that increasing the concentration of biotin in fermentation (CGXII Minimal) medium increases biomass production. In general, substrate taken up by this organism is converted into acetyl-CoA through glycolysis. However, this building block (acetyl-CoA) is inactivated by the limited concentration of biotin available in fermentation medium, and therefore cannot participate in fatty acid synthesis (Kramer, 1994). As the fatty acid synthesis is interrupted due to biotin limitation, M. glutamicus cells might not be able to build up their cytoplasmic membrane and cell wall, and eventually inhibited the growth of cells. 94 However, there was not much difference observed in biomass production (ODs after 48h of fermentation were 31, 32 and 34) among the cultures cultivated in presence of 1.0, 1.5 and 2.0µg l-1 biotin, respectively (Figure 3.4). This result confirmed that the minimum amount biotin required for sufficient growth of M. glutamicus is 1-2µg l-1. Nevertheless, when biotin was not added in the CGXII Minimal Medium (control), this investigation showed insignificant cell growth (OD600 of 5.3), extremely low glucose consumption (only 25% even after 72h of cultivation) and trace amount of L-glutamate production (Figure 3.4 and 3.5a). Hence, it is now concluded that biotin is directly involved in fatty acid synthesis, and decrease in cell biomass during biotin limited condition was possibly caused by a change in metabolic activities related to fatty acid synthesis of M. glutamicus. Hoischen and Kramer (1990) analyzed the changes in lipid content, cell wall composition and the kinetic and energetic properties of substrate transport across the membrane between producer (biotin limited) and non-producer (biotin rich) cells. Their result showed that the total amount of lipids (represented by fatty acids) as well as the phospholipids content decreased by about 50% in cells cultivated in biotin limited condition. Although biomass production in presence of 1.0, 1.5 and 2.0µg l-1 biotin was almost similar (Figure 3.4), the productions of L-glutamate at these concentrations were 56, 28 and 20mM, respectively (Figure 3.5a), indicating that the concentration of biotin available in the CGXII Minimal Medium has also a major influence on the production of L-glutamate. On the other hand, no L-glutamate was obtained in the presence of 200µg l-1 biotin, confirming that L-glutamate production is not possible in biotin rich condition (Figure 3.5a). Furthermore, it has been reported that addition of excess biotin in production medium produces lactate as a by-product although it encourages cells to grow optimally, whereas biotin limitation directly affects fatty acid synthesis and results in the secretion of L-glutamate (Kramer, 1994). Shiio et al. (1962) demonstrated that the amount of intracellular L-glutamate in cells grown in a biotin limited medium was less than that in cells grown in a biotin rich medium. In the former case, the intracellular Lglutamate was almost released from the unstructured cell wall, whereas in other condition the release of this amino acid was only observed when the cells were grown with 95 surfactants. In biotin rich condition, the production of L-glutamate in biotin rich condition was not achieved because of a change in the aerobic metabolism of glucose or any other carbon source used during fermentation, but not due to the consumption of glutamate or its precursors for the synthesis of cellular constituents and increased amount of biomass (Shiio et al., 1962). This study confirmed that a tiny amount of biotin is required for L-glutamate production by M. glutamicus, and the optimization of biotin concentration in fermentation medium is mandatory for the enhancement of L-glutamate yield. The appropriate amount of biotin required for the efficient growth of cells as well as for the highest production of glutamic acid is 1.0µg l-1 that led to the production of 57mM L-glutamate after 52h of cultivation (Figure 3.5). Although the highest production of glutamic acid was obtained by cultivating the C. glutamicum strains in presence of 2.5-3µg l-1 biotin (Shiio et al., 1962), this study demonstrated that L-glutamate production at 1.0µg l-1 biotin was approximately 7-fold higher than that of L-glutamate measured at 2.5µg l-1 biotin. The limiting concentration of biotin required for L-glutamate production depends on the type of strain, the concentration and nature of carbon sources, however, it is generally somewhat below 5µg l-1 (Kinoshita et al., 1985). Even though 20g l-1 biotin was observed to be sufficient to allow the growth of C. glutamicum, glutamate production was only observed at a biotin concentration of 3g l-1 (Takinami et al., 1966). However, this study showed that the production of this amino acid reduced extremely by the increase of biotin concentration ( 1µg l-1) in the CGXII Minimal Medium (Figure 3.5a). These results might have occurred due to the changes in the metabolic activity of cells caused by the addition of excess amount of biotin resulting in a decrease in the membrane permeability of M. glutamicus to L-glutamate. This study confirmed that the production of L-glutamate by M. glutamicus is only occurred during biotin limited condition. This phenomenon might have observed due to the fact that acetyl-CoA that participates in fatty acid synthesis is inactivated because of limited amount of biotin inhibiting the synthesis of cell wall, and hence the plasma membrane became permeable to L-glutamate. In addition, a very low activity of - 96 ketoglutarate dehydrogenase is observed in samples cultivated under biotin limitation directing the metabolism of this bacterium to the synthesis of L-glutamate (Kramer, 1994). In this study, glucose was used as the only carbon source in fermentation medium. However, it has been demonstrated that the concentration of biotin required for cell’s growth and L-glutamate production is dependent on the carbon sources supplied in fermentation medium (Shiio et al., 1962). Their results showed that 3µg biotin per liter of glucose based fermentation medium led to the maximum production of L-glutamate (122µM ml-1), whereas the same amount of biotin excreted only 55µM ml-1 L-glutamate where acetate was used as the main carbon source. However, due to time limitation, the influence of other carbon sources to L-glutamate production by this bacterium was not investigated in this study. The cultivation of C. glutamicum under biotin limited condition is often restricted in industry since the molasses based fermentation medium (contains high amount of biotin) is generally used for L-glutamate production (Ikeda, 2002). However, this study confirmed that the production of L-glutamate could be achieved by the addition of Tween 40 into a biotin rich fermentation (CGXII Minimal) medium. When an appropriate amount of Tween 40 (1.0g l-1) was added, irrespective of the time (both start and exponentially) of addition into the CGXII Minimal Medium containing 200µg l-1 biotin, the growth of M. glutamicus and glucose consumption were observed to reduce as compared to the control (without surfactant). After the addition of Tween 40, cell’s growth was almost stopped or grew at a slower rate for a while, however, cells started to grow exponentially after few hours of cultivation (Figure 3.7 and 3.8). Nevertheless, Lglutamate accumulated considerably or at least to a certain degree due to Tween 40 addition although the fermentation medium contained sufficient amount of biotin. This study clearly demonstrated that Tween 20 and 80 are not suitable for the production of this amino acid (Figure 3.9 and 3.10), whereas significant amount of L-glutamate (47mM after 72h) was obtained due to the addition of Tween 40 (2.0g l-1, at the exponential growth phase) in a biotin rich (200µg l-1) cultivation of M. glutamicus (Figure 3.10). 97 This study demonstrated that the growth of cells (Figure 3.7 and 3.8) and Lglutamate production (Figure 3.9 and 3.10) due to Tween 40 addition are dependent on the concentration and the addition time of this surfactant, regardless of the concentration of biotin available in the CGXII Minimal Medium. Takinami et al. (1965; 1968) also reported that the time at which surfactants are added into a biotin rich cultivation of B. lactofermentum caused a remarkable change in the growth of this industrially important microorganism as well as on the yield of L-glutamic acid. In the case of Tween 40 addition at the start of fermentation, the amounts of L-glutamate measured after 48h of cultivation were 19, 22, 19 and 17mM (Figure 3.9) in presence of 1, 2, 3 and 4g l-1 Tween 40, respectively, whereas it was 39, 45, 40 and 36mM (Figure 3.10) due to the addition of similar concentrations of Tween 40 to the exponentially grown M. glutamicus. In both cases, the results clearly showed that the enhancement of L-glutamate production was not possible by increasing the concentration of Tween 40 to 2.0g l-1. Furthermore, it has been reported that higher concentration of surfactant than the optimum amount leads to cellular death, and results in decrease of L-glutamate production (Hashimoto et al., 2006). Similar to this study, the concentration and addition time of Tween 40 to a biotin rich cultivation of B. lactofermentum have been observed as a decisively important factor for the production of L-glutamate. The highest amount of L-glutamate (62g l-1) was obtained at 4g l-1 Tween 40 after 51h of fermentation, where this surfactant was added after about 10h of cultivation (Shiratsuchi et al., 1995). Like Tween 40, the enhancement of glutamic acid production was not possible by increasing the concentration of Tween 60 more than 2.0g l-1. The highest yield of glutamic acid (50%) was obtained by adding 1.0mg ml-1 of Tween 60 to a growing culture of B. lactofermentum cultivated on biotin rich fermentation medium (Takinami et al., 1965; 1968). Their results also demonstrated that the effect of surfactant addition on the growth of B. lactofermentum was less due to delay in addition, and resulted in decrease of L-glutamate accumulation. On the other hand, adding of Tween 60 earlier than the optimum time inhibited the growth, and consequently reduced the yield of L-glutamic acid. However, due to time constraint, Lglutamate production by Tween 60 was not possible in this study. 98 Similar to the Tween 40 addition, this study showed lower cell densities and slower rate of glucose consumption in cultures treated with a range of EMB concentrations as compared to the control (Figure 3.11). These results might have occurred because addition of EMB inhibits arabinofuranosyl transferase resulting in decrease of the amount of covalently-bonded mycolate in the outer layer of Mycobacteria and related species (Takayama et al., 1979). Light microscopy showed that C. glutamicum cells change their morphology in the presence of EMB. Furthermore, the content of arabinose, mycolic acids and the specific growth rate of C. glutamicum were observed to reduce extremely in the presence of 50mg l-1 EMB (Radmacher et al., 2005). However, this study showed that the production of L-glutamate increased due to the increase of EMB concentration (up to 100mg l-1) in the CGXII Minimal Medium. After 48h of fermentation, the amount of L-glutamate measured in flasks containing 100mg l-1 EMB was 49mM, whereas it was only 0.14mM in control (Figure 3.12). Since ethambutol inhibits the biosynthesis of bacterial cell wall, an incomplete cell wall in presence of this antibiotic might be formed leading to the secretion of L-glutamate. Moreover, the results showed that the optimum amount of ethambutol needed for the highest production of L-glutamate is 100mg l-1, and the enhancement of L-glutamate production was not possible by increasing the concentration of ethambutol more than 100mg l-1 (Figure 3.12). In this study, however, low production of L-glutamate as compared to the yield of production obtained by the other research groups (Radmacher et al., 2005; Shiio et al., 1962; Shiratsuchi et al., 1995) was observed. These results might have occurred because all the fermentation experiments were carried out in shake flasks that do not allow researchers to optimize the cultivation parameters properly, resulting in decrease of Lglutamate yield. However, process variables, such as temperature, aeration, agitation and pH play a significant role in fermentation. It has been reported that the rate of oxygen transfer in shake flask is dependent on the design of flasks, speed of shaking and culture volume (Ikeda, 2002). The appropriate culture volume required during shake flasks fermentation is generally determined by the volume of flask. In this research, the growth studies and L-glutamate production in M. glutamicus were performed in 250ml and 99 500ml shake flasks, respectively, where the medium volume in both conditions were only 50ml. Nevertheless, Ikeda (2002) mentioned that the volume of medium must be less than 70ml in the case of a standard 250ml flask, whereas it should not be more than 200ml in the case of 1L flask. In this study, all the experiements were carried out at 220rpm in an orbital incubator shaker. However, it has been demonstrated that the growth properties of microorganisms are affected by the speed of agitation during shake flask cultivations (Ikeda, 2002). While conducting the L-lysine fermentation by the shake flask cultivations of C. glutamicum, substrate consumption was observed to increase with the increase of agitation speed from 50 to 300rpm (Shah et al., 2002). Although higher oxygen transfer rates are usually achieved by continuous shaking of flasks, the supply of oxygen is observed to be limited while the oxygen demand exceeds the oxygen transfer capacity. This occurrence often gives inaccurate specific growth rates of microorganisms, and finally decreases product and biomass yields (Ikeda, 2002). Hence, the production of amino acids is currently achieved by fed-batch and continuous fermentations (Chassagnole et al., 2003; Sassi et al., 1998; Kiss and Stephanopoulos, 1991; 1992). However, it was not possible to investigate these approaches further due to the limitation of time. Furthermore, this study demonstrated that production of L-glutamate after 72h of fermentation is a bit lower than that of L-glutamate obtained after 48-52h. This result might have occurred due to the fact that B. flavum is capable of growing on glutamic acid as a carbon and nitrogen source (Shiio et al., 1982). Apart from the treatments applied in this research, penicillin has been used to induce the production of L-glutamate in which this antibiotic is usually added into the fermentation medium before the microbial growth reaches its maximum limit (Demain and Birnbaum, 1968). Like surfactants, a combination of both the concentration and the time at which penicillin is added in fermentation medium have a great influence on Lglutamate production (Shiio et al., 1963). Adding 0.5U ml-1 penicillin at the start of fermentation produced approximately 81mM l-1 of L-glutamate after 48h of cultivation, whereas the production increased up to 100mM l-1 in presence of 2.0U ml-1 penicillin 100 added after 9h of cultivation. However, it has been confirmed that this enhancement was not caused by increase of penicillin concentration in fermentation medium since the addition of 2.0U ml-1 penicillin at the start of fermentation produced only 2.9mM l-1 of Lglutamate (Shiio et al., 1963). L-glutamate secretion has also been triggered in C. glutamicum by applying different osmotic gradients combined with the addition of 1.3mM tetracaine (Lambert et al., 1995). It has also been demonstrated that the temperature at which C. glutamicum is grown has an influence on the secretion of L-glutamate. Due to the temperature upshift after a certain hours of cultivation of C. glutamicum 2262, the activities of OGDHC and pyruvate dehydrogenase were observed to decrease redirecting the flux of 2-oxoglutarate towards L-glutamate production (Uy et al., 2003). In another investigation, 85g l-1 Lglutamate was achieved after 24h of fed-batch cultivation of C. glutamicum (temperaturesensitive strain) by changing the culture temperature from 33C (initial growth phase) to 39C (production phase) (Delaunay et al., 1999b). A 6-fold increase in the efflux rate of glutamate (6mM g Dw-1 h-1) is observed when the glutamate export system has been activated by a temperature shift during the temperature triggered process (Delaunay et al., 1999b; Lapujade et al., 1999). However, due to time limitation, L-glutamate production by the addition of penicillin/tetracaine or by increasing the growth temperature of M. glutamicus was not investigated in this study. Apart from the L-glutamate production facilitated by the above-mentioned treatments through the cell wall of C. glutamicum, genetic or metabolic engineering has been applied in order to increase the production of this amino acid. The amplification of glutamate dehydrogenase (GDH) activity resulted in increase of intracellular glutamate concentration (Bormann-El Kholy et al., 1993). Kimura (2002b) showed higher production of L-glutamate in the mutant lacking of 2oxoglutarate dehydrogenase (OGDHC) activity, confirming that the glutamate efflux might be occurred by a change at the 2-oxoglutarate branch point. However, this study concluded that L-glutamate production is not possible without treating the cell membrane of M. glutamicus by the addition of agents i.e., limited amount of biotin or surfactant or ethambutol. The secretion of this amino acid might have 101 occurred due to the formation of an incomplete cell membrane by the above-mentioned treatments increasing the membrane permeability of M. glutamicus to L-glutamate. During biotin limitation or surfactant or ethambutol addition, it is evident that a modification in phospholipids of plasma membrane i.e., increase in the ratio of saturated to unsaturated fatty acids (Demain and Birnbaum, 1968; Marquet et al., 1986), or a decrease in the content of phospholipids (Clement and Laneelle, 1986; Huchenq et al., 1984) or a decrease in total lipids content (Hoischen and Kramer, 1990) must occur resulting the secretion of L-glutamate. However, this study showed that the production of L-glutamate in biotin limited condition was considerably higher than that of L-glutamate obtained from the other two conditions since the amounts of glutamic acid measured after 48h fermentation of M. glutamicus were 56, 45 and 49mM under the condition of biotin limitation, surfactant addition and ethambutol addition, respectively. Hashimoto et al. (2006) demonstrated that both the cellular constituents of Corynebacterineae synthesized from fatty acids and the content of mycolic acid decreased under the all conditions generally used for L-glutamate overproduction. They showed a similar amount of Lglutamate production i.e, 121, 122, 101 and 113mM under the supply of limited amount of biotin, the addition of Tween 40, penicillin G and cerulenin into a biotin rich medium, respectively. Nampoothiri et al. (2002) reported that the intracellular concentration of Lglutamate decreased constantly due to it’s secretion to the extracelular medium, and thereby the feedback inhibition that regulates the internal glutamate pool is relaxed while cultivating C. glutamicum in presence of the above-mentioned conditions. Hoischen and Kramer (1989) demonstrated that change in the lipid state of C. glutamicum membrane is not the only parameter for inducing glutamate secretion. For effective efflux of Lglutamate, a mechanism for crossing the permeability barrier of the plasma membrane must be present. It has been also reported that the reduced phospholipids content of the cytoplasmic membrane due to lack of biotin does not lead to the permeabilization of cells although a limited supply of biotin is necessary for the induction of L-glutamate secretion. Furthermore, it is not clear whether L-glutamate secretion is linked to an alteration in membrane biosynthesis due to these treatments and/or any unknown 102 regulatory effects on the level of transcription and translation (Hoischen and Kramer, 1990). Over the past several years, three models have been described as the essential steps for L-glutamate efflux, such as diffusion, functional inversion of uptake systems and the presence of specific excretion systems (Kramer, 1994). Eggeling and Sahm (1999) demonstrated that three components are involved in Lglutamate secretion of C. glutamicum, such as oxoglutarate dehydrogenase activity, the presence of a specific exporter and the membrane status. Although all the treatments are mainly involved in the alteration of bacterial membrane, Nampoothiri et al. (2002) demonstrated that some additional parameters must be considered for increasing the Lglutamate efflux, such as the energetic state of cell, a low α-ketoglutarate dehydrogenase activity, the carrier itself and an altered permeability of mycolic acid layer. It is now obvious that the enhancement of membrane permeability, identification of limiting steps, eliminating the feedback and regulatory controls, changing the cellular metabolism of C. glutamicum and developing of a cost effective production process are the main prerequisites to achieve high yield of amino acids. However, intensive researches are still required in order to examine the L-glutamate production by the different strains of C. glutamicum. It is expected that this research provided substantial knowledge regarding the different approaches usually used for L-glutamate production by Corynebacteria, and will assist in improving the yield and productivity of glutamic acid by metabolic engineering and functional genomics. The isolation, purification and concentration of many biomolecules produced in fermentation processes are extremely important since downstream processing often contributes a large portion of the product cost. In the case of fermentative production of L-glutamate, the downstream processing costs are approximately 30-40% of the selling price (Hacking, 1986). The purification process of L-glutamate developed in this study is mainly based on centrifugation. Using this conventional method, the problems associated during scale-up are enormous, and eventually leads the recovery processes uneconomical and expensive unless the product is of very high market value (Hermann, 2003). However, the application of suitable methods for purifying the desired product depends 103 on several factors, such as the physico-chemical properties of product (solubility, isoelectric point), composition of process liquid (quality and quantity of by-products), environmental regulations (waste liquor treatment) and the uses of product (feed or pharmaceutical use). Furthermore, the raw materials that are used in fermentation media have a major influence on the downstream processing since the removal of unused components of molasses make the process expensive (Hermann, 2003). As the purity of amino acids or any other therapeutic products is a major concern for the biotech industry, it is mandatory to develop an economically viable recovery process with the highest level of purity. Nevertheless, the development of sophisticated chromatographic methods and crystallisation techniques will increase the efficiency of downstream processing. 104 Chapter FOUR 4. Enhancement of the Secretion of L-glutamate Produced under Biotin Limited Fermentation of M. glutamicus by Electropermeabilization 4.1. Introduction Electroporation or electropermeabilization is a well-established approach used in molecular biology where cell membrane is exposed to high intensity electrical pulses with several milliseconds duration in order to increase the membrane permeability for exogenous molecules (Chang et al., 1992; Neumann et al., 1989; Teissie et al., 1999; 2002; 2005). This approach is an elegant way to gain access into the cytoplasm of cells (Teissie et al., 1999). The electric pulses may form transient pores on cell membrane depending mainly on the electric field strength in which the entry of foreign molecules (DNA, RNA and proteins) into cells could be achieved (Faurie et al., 2005; Golzio et al., 2004; Weaver and Chizmadzhev, 1996). This technique has been used for inserting the foreign genes into microorganisms (Potter, 1993; Somiari et al., 2000; Rols, 2006). Moreover, it’s application in medical sectors i.e., electrochemotherapy, transdermal drug delivery and gene transfer is noteworthy (Belehradek et al., 1993; Dev et al., 2000; Heller et al., 1999; Mir and Orlowski, 1999; Orlowski and Mir, 1993). Pulsed electric field is also regarded as a non-thermal process to kill spoilage microorganisms (Schoenbach et al., 2000; Wouters and Smelt, 1997). Although this approach has been successfully applied in gene transfer, medical sector and bacterial sterilization purposes, there are few reports published in literature revealing it’s application in bioprocess intensification. Electropermeabilization is based on the dielectric properties of a biological membrane. The cell membrane is composed of phospholipids and amphipatic molecules having a hydrophilic head group attached to a hydrophobic tail. These molecules are 105 observed to be polarized due to electric fields (Kinosita and Tsong, 1977). The application of external electric field generates a transmembrane potential (TMP) difference because of the dissimilarity in conductivity across the cell wall that results in formation of transient electropores, and eventually increase the membrane permeability of cells (Hapala, 1997). However, a prominent structural alteration i.e., asymmetry in bilayer membrane of phospholipids with the formation of many transient electropores is usually observed within a short time (ms) of pulsation (Chernomordik et al., 1987; Haest et al., 1997). These pores transfer ions across the cell wall, allows introducing the small and large molecules into the cytoplasm and permits the insertion of proteins into cells although the membrane usually represents a considerable barrier for them in its normal state (Hapala, 1997; Somairi et al., 2000; Tessie et al., 1999; Tsong, 1991). However, the amount of molecules that will be transported depends on their size, extracellular or intracellular concentration of molecules and on the degree of permeabilization (Ho and Mittal, 1996). The appearance of electropores on cell membrane is dependent on the pulse intensity, whereas the dynamics of pores (expansion of electropores, their stabilization and resealing) depends on pulse duration and membrane physical conditions, for instance medium conductivity (Rols et al., 1990). In addition, the duration of pulses (defined by pulse decay halftime) is also dependent on the capacitance of loaded capacitors and the conductivity of pulsing medium (Djuzenova et al., 1996; Pucihar et al., 2001). Within a certain limit, a longer pulse duration may compensate with lower field strength and vice versa in order to obtain same level of permeabilization (Rols and Teissie, 1989). It has been demonstrated that pulses with short duration (100µs) and high field strength (>700Vcm-1) are the most favourable for the delivery of anti-cancer drugs in solid tumors (Hofmann et al., 1999), whereas longer pulses (20-60ms) and low field strength (100200Vcm-1) are suitable for DNA delivery in skeletal muscle (Smith and Nordstrom, 2000). Furthermore, it has been shown that the temperature-dependent resealing process as well as the amount of cells permeabilized and survived after the treatment depends on the electric field and electroporation medium (Rols and Teissie, 1989). 106 In the case of reversible electroinduced membrane permeabilization, the incorporation of DNA or foreign molecules into cells and the exchange of macromolecules across the cell membrane occur for a very short period during and immediately after the pulsation (Chang et al., 1992; Tsong, 1991; Weaver, 1995; Weaver and Chizmadzhev, 1996). The transport of molecules across the membrane mainly occurs via three different mechanisms, diffusion, electrophoresis and electroosmosis (Tekle et al., 1994). In general, these processes keep going until the cell membrane is resealed completely. The involvement of each mechanism is dependent on the pulse length and amplitude as well as on the type of molecule being transported (Puc et al., 2003). Mir et al. (1988) demonstrated that the direct access of nonpermeant molecules into cell’s cytoplasm is mostly caused by passive diffusion. Although it has been reported that diffusion is the main mechanism involved in transmembrane transport of small molecules into cells (Sixou and Teissie, 1993; Tekle et al., 1990), Dimitrov and Sowers (1990) proposed that electroosmosis is responsible for the molecular exchange of small molecules into cells. On the other hand, endocytosis-like processes were considered to be the possible mechanisms for the uptake of larger molecules (Lambert et al., 1990). Furthermore, Gabriel and Teissie (1999) observed that the exchange of calcium ions through the electropermeabilized membrane of CHO cells during a millisecond pulse is mostly caused by diffusion-driven processes i.e., governed by concentration gradient. Furthermore, electrophoresis has been found to play a major role in transporting of macromolecules, particularly DNA (Klenchin et al., 1991; Satkauskas et al., 2002). Somiari et al. (2000) demonstrated that the mechanism of electroporation-mediated gene transfer is based on the formation of electropores on the cell membrane followed by DNA electrophoresis into the cells. It has been reported that the electrophoretic transport of charged molecules only occurs during the pulses (100s), whereas the transport of other molecules through diffusion takes place throughout the lifetime of permeabilized state (Mir, 2000). Similarly, the electroefflux of calcein (a fluorescent molecule) is mostly caused by electrophoresis or electroosmosis during a pulse, whereas the transport of calcein after pulsation is partially or completely caused by diffusion (Prausnitz et al., 1995). It is, however, uncertain whether the transformation or transfection is achieved 107 due to permeabilization itself or rather due to the subsequent electrophoresis and electroosmosis caused by very long pulse duration. Hence, there is still plenty of research needed for the investigation of mechanisms involved in transporting molecules across the membrane during electroporation Microorganisms, both bacteria and yeast have become a suitable host for the production of recombinant proteins with biotechnological and pharmacological applications. However, the recovery of recombinant proteins from host cells is always a significant challenge for bioprocess industry since it is very unusual that the foreign proteins are simply secreted in the extracellular medium (Hermann, 2003). Therefore, the disruption of cells is usually performed by ultrasonication or homogenization, physiochemical (autolysis by solvent, membrane disintegration, pH and osmotic shock) and enzymatic (zymolase, lyticase) treatments for the recovery of recombinant proteins (Hermann, 2003). Using these conventional techniques, however, a complete destruction of cells is required that causes the purification process complicated, and eventually leads to an expensive bioprocess (Teissie et al., 2002). Therefore, alternative methods for the extraction of enzymes or proteins are needed in order to ensure a higher selectivity of their release and to preserve their activity at a maximal level. Ohshima et al. (1999) extracted nucleic acid molecules from the recombinant E. coli within 1min of electropulsation. Like bacteria, the efflux of proteins or enzymes during or after electroporating of yeast has been reported in several studies (Ganeva et al., 1995; 2001; 2003; 2004; Ohshima et al., 1995). Ohshima et al. (1995) demonstrated the release of invertase and alcohol dehydrogenase due to electropermeabilization of S. cerevisiae at field strengths of 6 and 12kV cm-1, respectively, indicating that electric pulses could lead to the selective release of intracellular proteins or enzymes from cells. The application of high intensity electric pulses (2 × 9 pulses, 990ms duration, 2.75kV cm-1) to a yeast (S. cerevisiae) suspension showed a considerable release of some cytoplasmic proteins, glutathione reductase (GLR), 3-phosphoglycerate kinase (PGK) and alcohol dehydrogenase (ADH) after 3-8h of pulsation (Ganeva and Galutzov, 1999). Similarly, the electroporation of E. coli, Listeria innocua and S. cerevisiae resulted in a 108 leakage of intracellular compounds (ATP and UV-absorbing substances) into the extracellular medium (Aronsson et al., 2005). -galactosidase was extracted from Kluyveromyces lactis by a series of electric pulses (2ms duration, 1Hz frequency, and 44.5kV cm-1 field strength) within 8h of electropermeabilization (Ganeva et al., 2001). In another study with S. cerevisiae, approximately 80-90% of intracellular enzymes i.e., hexokinase, PGK and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) are obtained by applying a series of electric pulses (Ganeva et al., 2003). Similarly, Ganeva et al. (2004) observed a release of intracellular enzymes (GAPDH and PGK) by applying high intensity electric pulses to the yeast, Schizosaccharomyces pombe. Furthermore, it has been demonstrated that the specific activities of these electroextracted enzymes are higher than those obtained by mechanical disintegration or enzymatic lysis (Ganeva et al., 2003). The secondary metabolites (ionic betalains, mainly negatively-charged betanin from Beta vulgaris and ionic alkaloids, particularly positively-charged ajmalicine and yohibine from Catharanthus roseus) from plant cells have also been extracted by using electric pulses, whilst maintaining the viability of cells (Yang et al., 2003). From the literature, it is obvious that electroporation creates transient pores on the cell membrane of living organisms, and the part of the plasma membrane that is permeabilized due to electric pulses provides a path in order to transfer the different molecules across the cell membrane. However, the quantity of molecules that will be introduced or extracted into or from cells, respectively, depends on their size, concentration and the degree of permeabilization of cell membrane (Trissie et al., 1999). It is not usual that all the primary or secondary metabolites of commercial interest are excreted by cells into the extracellular medium. Furthermore, they may be stored intracellularly or in certain cases, the permeability barrier of cell wall causes low reaction rates that result in decrease the product yield. Hence, the cell wall porosity has been regarded as an important factor for the recovery of proteins from microorganism (Ganeva et al., 2001; White and Marcus, 1988). When the plasma membrane loses its barrier due to electric pulses, the efficiency of protein efflux is controlled by the cell wall porosity as 109 well as by the size and electric charge of proteins (De Nobel and Barnett, 1991). During pulsation, various substances (chemical permeabilizing agents) that alter the structure of cell membrane are used in order to increase the efficiency of electroporation. These substances often casue extensive cell injury, and result in releasing of specific intracellular constituents (De Nobel et al., 1989). Hapala (1997) demonstrated an improved uptake of substrate and product excretion across the cell membrane without killing cells by the addition of cell wall permeabilizing agents (for instance, detergent) into the cell suspension before electropulsation. During L-glutamate production by C. glutamicum, the extracellular transport of this amino acid is the major rate limiting factor affecting both the yield and productivity of amino acids (Kramer, 1994). Extensive efforts on the improvement of these bacterial strains for amino acids overproduction have been directed towards deregulation of the corresponding pathways by classical mutagenesis and screening procedures (Kinoshita and Nakayama, 1978). Although the increase of yield and productivity of amino acids are accomplished through the use of auxotrophic and regulatory mutants, their application in the food and beverage industry is generally unacceptable (Parekh et al., 2000). Hence, much attention is required in order to develop a rapid method for reducing the permeability barrier of these bacteria, and to increase the yield of amino acids. The recent development of electroporation in bioprocessing has given us the opportunity to apply this technique for the increase of L-glutamate production by M. glutamicus fermentation. The goal of this study is to enhance the membrane permeability of L-glutamate through the electropermeabilization of M. glutamicus cultivated under the different growth conditions (i.e., biotin limitation, surfactant addition and ethambutol addition) by which glutamic acid is excreted into the extracellular medium (Chapter 3). In order to achieve this, the fermentative culture of M. glutamicus cells grown to production phase (stationary growth period) will be imposed by a range electric field strengths. The effect of electric pulses on the release of glutamate dehydrogenase (GDH), malate dehydrogenase (MDH) and total protein will also be examined. The effect of physiochemical [(providing resting time between pulses, controlling the temperature of 110 pulsed samples at 4C in order to prolong the permeabilized state and treating the cells by chemical permeabilizing agent (D-L-1, 4-Dithiothreitol, DTT)] and cellular (using a Gram-negative strain, E. coli) factors to the electroextraction of L-glutamate, GDH, MDH and total protein will also be investigated. In addition, the effectiveness of this new approach for release intracellular protein or enzymes will be compared with the established techniques i.e., sonication and French press that are routinely used in biotech industry. The ultimate purpose of this research is to gain sufficient knowledge for improving the secretion or extraction of intracellular product by the transient electropermeabilization, and thus intensify the bioprocesses. 111 4.2. Material and Methods 4.2.1. Chemicals Peptone from pancreatically digested casein and meat extract were obtained from VWR (Merck, UK). Yeast extract and bacteriological agar were procured from Oxoid, UK; D-glucose, urea, NaCl and all other chemicals were purchased from Fisher, UK unless otherwise mentioned. 4.2.2. Organism and cultivation The bacterial strains used for this study were M. glutamicus DSM 20300 (Collins et al., 1977; Suzuki et al., 1981; Yamada and Komagata, 1970; Yamada et al., 1976) and E. coli DSM 498 (Farnleitner et al., 2000) supplied by the German Collection of Microorganisms and Cell Culture (DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH). M. glutamicus DSM 20300 was cultivated in Medium 53, whereas E. coli DSM 498 was cultivated in Nutrient Medium. In the case of L-glutamate production by M. glutamicus, inoculum was prepared by selecting single colony from the stock agar plate and transferring into 3.5% BHI Medium. In order to investigate the efficiency of electroporation on the release of protein or enzymes, M. glutamicus was grown on Seed Medium, whereas E. coli was grown in Nutrient Medium. The composition and preparation of all the media and stock agar plates used in this study were described previously in Section 3.2.2. M. glutamicus was cultivated at 30C and 220rpm, whereas E. coli was cultivated at 37C and 150rpm. 4.2.3. L-glutamate production in M. glutamicus under biotin limited condition L-glutamate was produced in M. glutamicus by cultivating cells in biotin limited CGXII Minimal Medium that has been used by Keilhauer and his co-workers (Keilhauer et al., 1993). The preparation of CGXII Minimal Medium was described previously in Section 3.2.5. 4.2.4. Electroporator and pulse treatment For electroporation experiments, cell suspension (fermentation broth) is usually placed between two electrodes connected to the generator of a high-voltage electric field. 112 A pulse with an intensity of several kilovolts per centimeter (kV cm-1) leads to membrane permeabilization at the sites where TMP is observed to be its highest level. The exponential decay pulses were generated by a Gene PulserTM apparatus (Bio-Rad Laboratories, USA) that allows us to apply a capacitance of 3 to 25µF and voltage of 0.2 to 2.5kV. The output of pulse generator was directed through a Pulse Controller unit (Bio-Rad) having a selection of resistors of 100 to 1000. The effective resistance used in parallel with the electrodes determines the time constant of pulse (for example, 200 with the capacitor of 25µF gives a 5ms time constant). Cuvettes (Bio-Rad) with an electrode gap of 0.2cm were used to achieve the desired level of field strengths. Samples (fermentation broth) were collected after 24 and 48h of cultivation and transferred into Bio-Rad electroporation cuvettes, and subsequently pulsed with a range of voltages (1.5, 2.0 and 2.5kV that produce field strengths of 7.5, 10.0 and 12.5kV cm-1) although the capacitance (25F) and parallel resistance (200) were kept constant in all the experiments. The number of samples pulsed for increasing the secretion of of Lglutamate and the release of total protein and enzymes on each time was three, and each sample was pulsed by a single to multiple pulses (up to 5). Electroporation was performed at RT (22 1°C) by transferring 0.4ml of cell suspension into 0.2cm gap electroporation cuvettes. 4.2.5. Quantification of glucose, L-glutamate and other amino acids The quantification of substrate, L-glutamate and all the other amino acids were achieved with the use of AAA-DirectTM Amino Acid Analysis System (Dionex, UK). The preparation of eluents and standard were described previously in Section 3.2.8. 4.2.6. Preparation of crude extract The crude extract of M. glutamicus was prepared by two different methods i.e., sonication or French press. A schematic diagram of these procedures is as follows- Sonication Fermentation broth (50ml) 113 Centrifuged at 4500g for 10min at 4C The supernatant was discarded, and cell pellets were washed twice with 0.2% KCl The pellets (1g Dw) were resuspended in 4ml of buffer (100mM Tris-HCl + 2.5mM MgCl2, pH 7.2). The resulting cell suspension was disrupted by sonication (Fisher, UK) for 15min (samples were kept in ice bath while sonicating) Sonicated samples were centrifuged at 4600g for 10min at 4C The supernatant was then collected for determining the concentration of total protein, GDH and MDH. French press Fermentation broth (50ml) Centrifuged at 4500g for 10min at 4C The supernatant was discarded, and cell pellets were washed twice with 0.2% KCl The pellets (1g Dw) were resuspended in 4ml of buffer (100mM Tris-HCl + 2.5mM MgCl2, pH 7.2). The resulting cell suspension was disrupted by French press (Aminco, USA) at 20000psi Sonicated samples were centrifuged at 4600g for 10min at 4C 114 The supernatant was then collected for determining the concentration of total protein, GDH and MDH. 4.2.7. Determination of total protein, GDH and MDH Analysis of Total Protein (TP) in cell suspension Principle The Bradford Reagent (Sigma-Aldrich, UK) was used to determine the concentration of total protein in cell suspension. It is the most widely employed method for determining protein concentration. The reagent is consisted of Coomassie Brilliant Blue G-250 solubilized in phosphoric acid and methanol. After the addition of this reagent in samples that contained proteins, a complex between the dye and proteins is formed in the reaction mixture. The dye in solution is in the cationic form and has an absorption maximum at 465nm (red). When the dye binds with proteins, both the hydrophobic and ionic interactions stabilize the anionic form of the dye, and cause a visible color change. The maximum absorbance of Brilliant Blue G in an acidic solution of is obtained at 595nm. The amount of absorption is proportional to the proteins available in supernatant (Bradford, 1976). The protein assay using this reagent has great advantages over the other assays, such as Lowry and BCA methods. There is no need to dilute this reagent, and it is compatible with the reducing agents (i.e., dithiothreitol and 2mercaptoethanol) that are often used to stabilize the proteins in solution. The protein assay by this method is less susceptible to interfere by various chemicals that are available in samples. Reagents and Equipment Bradford Reagent (B6916, Sigma-Aldrich, UK). Protein (Bovine Serum Albumin, BSA) standard solution (P0834, Sigma-Aldrich, UK). Deionized H2O: Milli Q water (Direct Q5, Millipore, USA). Spectrophotometer (S1200, WPA). Test tubes. Macro disposable polystyrene 4.0ml cuvettes (FB55143, Fisher, UK). 115 Procedure The Bradford Reagent in the bottle was gently mixed and kept at RT prior to use. The assay was performed by adding 3ml of Bradford Reagent into 0.1ml of standard or sample per test tube. A standard curve of protein was prepared by diluting the protein standard (BSA) to 0.25, 0.5, 0.75 and 1.0mg ml-1 using deionized water (Figure 4.1). A blank assay was performed by adding deionized water, and the OD of blank was deducted from all the readings obtained from the standard and samples. Blank (ml) Standard (ml) Unknown samples (ml) Deionized water 0.1 -- -- Standard (0.25-1.0mg ml-1) -- 0.1 -- Unknown samples -- -- 0.1 Bradford Reagent 3.0 3.0 3.0 y = 0.8976x + 0.0122 R2 = 0.9982 1.0 OD at 595nm 0.8 0.6 0.4 0.2 0.0 0.0 0.2 0.4 0.6 0.8 1.0 1.2 Concentration of BSA, mg/ml Figure 4.1 Standard curve of total protein (BSA). The above-mentioned volume (3.1ml) in test tubes was vortexed gently in order to mix properly, and incubated at RT for 5 to 45min. The resulting solution was then transferred into polystyrene cuvettes, and the absorbance was measured at 595nm. The absorbance was recorded within 30min since the protein dye complex is usually stable up 116 to 60min (reported by the manufacturer). In the case of samples with unknown protein concentrations, samples were diluted in order to keep the absorbance within the linear range of 0.25-1.0mg ml-1. The total protein concentrations in unknown samples were determined from the standard curve. Analysis of malate dehydrogenase (MDH) in cell suspension Principle Malate dehydrogenase (MDH) is an enzyme in the citric acid cycle that catalyzes the inter-conversion of L-malate and oxaloacetate using nicotinamide adenine dinucleotide (NAD+) as a coenzyme. In this study, MDH was used as a marker enzyme in cytoplasmic fractions. MDH L-malate + NAD+ Oxaloacetate + NADH + H+ Reagents and Equipment 0.1M Phosphate buffer, pH 7.5: 10ml of 1M phosphate buffer (P3619, SigmaAldrich, UK) was diluted with 90ml of deionized water, and adjusted to pH 7.5. 15mM Oxaloacetate: 19.81mg of oxaloacetic acid (O4126, Sigma-Aldrich, UK, Mol. Wt. 132.07) was dissolved with 10ml of deionized water. 14.11mM NADH: 10mg NADH (N1161, Sigma-Aldrich, UK, Mol. Wt. 709.4) was dissolved in 1ml of deionized water. MDH (as a standard): Malic dehydrogenase from Thermus flavus (M7032, SigmaAldrich, UK). Deionized H2O: Milli Q water (Direct Q5, Millipore, USA). UV-Visible spectrophotometer (DR/2000, HACH, Germany). 1.5ml disposable semi-micro PMMA UV grade cuvettes (CXA-110-040H, Fisher, UK). Procedure This assay was performed directly in 1.5ml disposable UV visible cuvettes. All the reagents (phosphate buffer, oxaloacetate and NADH) were added into the cuvettes 117 and equilibrated for 5min at RT. In the case of standard, a known concentration of MDH was added, and the disappearance of NADH or the formation of NAD+ was measured at 340nm every 30sec for 2-3min by the UV-Visible spectrophotometer. Figure 4.2 shows a standard curve of MDH that was prepared by plotting the ∆A340nm 30sec-1 at a range of malate dehydrogenase concentrations (1-10U ml-1). A blank (deionized water) assay without adding standard MDH or sample that contained MDH was performed in order to investigate whether these reagents had any effect on the reduction of NADH to NAD+. Blank (l) Standard (l) Unknown samples (l) 0.1M phosphate buffer 940 940 940 Oxaloacetate 30 30 30 NADH 10 30 30 Deionized water 20 -- -- Standard (1-10U ml-1) -- 20 -- Unknown samples -- -- 20 y = 0.0118x - 0.0021 R2 = 0.9985 Reduction of NADH to NAD+ (OD difference at 340nm) 0.14 0.12 0.10 0.08 0.06 0.04 0.02 0.00 0 2 4 6 8 Concentration of MDH, U/ml Figure 4.2 Standard curve of malate dehydrogenase (MDH). 118 10 12 The resulting solution was mixed immediately by inversion, and the decrease was recorded in A340nm for approximately 2-3min. In the case of samples, appropriate dilution was made in order to keep the ∆A340nm 30sec-1 within the values of standard curve. The concentrations of MDH in unknown samples were calculated from the standard curve. Analysis of L-glutamate dehydrogenase (GDH) in cell suspension Principle Glutamate dehydrogenase (GDH), located in the mitochondria, is an important branch-point enzyme between carbon and nitrogen metabolism (Stillman et al., 1993). GDH catalyzes the oxidative deamination of L-glutamate into -ketoglutarate and ammonia. GDH is able to utilize both NADP+ and NAD+. NADP+ is utilized in the forward reaction of -ketogluterate and free ammonia, which are converted to Lglutamate via a hydride transfer from NADPH to glutamate. On the other hand, NAD+ is utilized in the reverse reaction, in which L-glutamate is converted to -ketoglutarate and free ammonia via an oxidative deamination reaction (Stryer et al., 2002). GDH -KG + -NADH + NH4+ L-glutamate + -NAD + H2O -KG = -Ketoglutarate NH4+ = Ammonia -NADH = -Nicotinamide adenine dinucleotide, reduced form -NAD = -Nicotinamide adenine dinucleotide, oxidized form Reagents and Equipment 100mM Triethanolamine buffer, pH 7.3 at 25C: Weighed 1.8565g triethanolamine hydrochloride (T1502, Sigma-Aldrich, UK, Mol. Wt. 185.65) in a volumetric flask (100ml), and dissolved with deionized water up to the mark of the flask. Adjusted to pH 7.3 at 25C with 1M NaOH (BPE358-212, Fisher, UK). 200mM α-KG solution: Weighed 292.2mg -ketoglutaric acid (K1750, Sigma- 119 Aldrich, UK, Mol. Wt. 146.10) in a volumetric flask (10ml), and dissolved with deionized water up to the mark of the flask. Adjusted to pH 6.5-7.5 using solid sodium bicarbonate (S8875, Sigma-Aldrich, UK). 3.2M Ammonium acetate solution (NH4OAc): 1.233g ammonium acetate (A7262, Sigma-Aldrich, UK, Mol. Wt. 77.08) was dissolved in 5ml of deionized water. 10mM -NADH solution: 35.47mg -NADH, disodium salt (N8129, SigmaAldrich, UK, Mol. Wt. 709.4) was dissolved in 5ml of deionized water. A freshly prepared solution was always used in this study. 25mM Ethylenediaminetetraacetic acid (EDTA) solution: 104.05mg EDTA, Tetrasodium Salt (ED4SS, Sigma-Aldrich, UK, Mol. Wt. 416.20) was dissolved in 10ml of deionized water. L-Glutamic dehydrogenase enzyme solution: A standard curve having of 0.2-0.6U ml-1 of L-glutamic dehydrogenase (G2501) was freshly prepared in cold Reagent A. Deionized H2O: Milli Q water (Direct Q5, Millipore, USA). UV-Visible spectrophotometer (DR/2000, HACH, Germany). 2.5ml disposable semi-micro PMMA UV grade cuvettes (CXA-110-025D, Fisher, UK). Procedure A reaction cocktail was prepared by pipetting the following reagents into a 50ml centrifuge tube. Reagents Amount (ml) Reagent A (Buffer) 26.0 Reagent B ( -KG) 2.0 Reagent C (NH4OAc) 0.5 Reagent D (-NADH) 0.3 Reagent E (EDTA) 0.3 120 The resulting solution was mixed by stirring, equilibrated to 25C, and adjusted to pH 7.3 at 25C with 1M NaOH or 1M HCl. In the case of standard, a known concentration of GDH was added, and the disappearance of NADH or the formation of NAD+ was measured at 340nm in every 1min for 3-5min by the UV-visible spectrophotometer. Figure 4.3 shows a standard curve of GDH which was prepared by plotting the ∆A340nm min-1 at a range of glutamate dehydrogenase (0.2-0.6U ml-1). A blank (deoinzed water) assay without adding standard GDH or sample that contained GDH was performed in order to investigate whether these reagents had any effect on the reduction of NADH to NAD+. Blank (ml) Reaction cocktail Standard (ml) 2.90 Unknown Samples (ml) 2.90 2.90 0.10 -- -- Reagent F (standard) -- 0.10 -- Unknown samples -- -- 0.10 Equilibrated to 25C and added Deionized water Reduction of NADH to NAD+ (OD difference at 340nm) 0.06 y = 0.0796x + 0.0001 R2 = 0.9973 0.05 0.04 0.03 0.02 0.01 0.00 0.0 0.1 0.2 0.3 0.4 0.5 Concentration of GDH, U/ml Figure 4.3 Standard curve of glutamate dehydrogenase (GDH). 121 0.6 0.7 The resulting solution was mixed immediately by inversion, and the decrease in A340nm was recorded for approximately 3-5min. In the case of samples, appropriate dilution was made in order to keep the ∆A340nm 1min-1 within the values of standard curve. The concentrations of GDH in unknown samples were calculated from the standard curve. One unit of GDH reduced 1.0μM of α -ketoglutarate to L-glutamate per minute at pH 7.3 at 25C in presence of ammonium ions. 122 4.3. Results 4.3.1. Effect of electric pulses on the secretion of L-glutamate produced in M. glutamicus In order to investigate the efficiency of electropermeabilization for increasing the production of L-glutamate, cell suspension of M. glutamicus (fermentation broth) cultivated in CGXII Medium under biotin limited (1µg l-1) condition that induced Lglutamate secretion to the extracellular medium (Chapter 3.2.2) was collected after 24 and 48h of cultivation where sufficient amounts of L-glutamate were already determined by HPLC. Appropriate amounts (400µl) of samples were transferred in 0.2cm electroporation cuvettes, pulsed at 7.5, 10.0 and 12.5kV cm-1 where both the resistance and capacitance were kept constant at 200 and 25µF, respectively. The number of samples pulsed for increasing the secretion of L-glutamate on each time was three. The results from the following experiements clearly showed that increasing the field strength (voltage) and pulse number (up to 5 pulses) applied to the fermentation broth of M. glutamicus, irrespective of the age of culture (both 24 and 48h), have no prominent influence in enhancing the L-glutamate secretion (Figure 4.4 and 4.5). The maximum increase (only 2.6% as compared to the control) of L-glutamate secretion was obtained in samples treated at 12.5kV cm-1 by 4 pulses. 123 Glutamate, mM 31 29 27 25 Control 1 2 3 4 5 No. of pulses treated Control 7.5kV/cm 10.0kV/cm 12.5kV/cm Figure 4.4 Effect of electric field strengths on L-glutamate secretion (fermentation broth taken after 24h of cultivation). Glutamate, mM 61 59 57 55 Control 1 2 3 4 5 No. of pulses treated Control 7.5kV/cm 10.0kV/cm 12.5kV/cm Figure 4.5 Effect of electric field strengths on L-glutamate secretion (fermentation broth taken after 48h of cultivation). 124 4.3.2. Effect of providing resting time and controlling the temperature of samples between two pulses while pulsing repetitively on the secretion of Lglutamate produced in M. glutamicus In the case of experiments mentioned above (Fig 4.4 and 4.5), the samples were repetitively pulsed without giving any resting time or gap between two consecutive pulses. It has been reported that if the pulse gap between pulses (in the case of multiple pulses) is high enough, pulsed cells get enough time to reseal or rearrange their membrane that eventually increase the viability of cells. In addition, the viable cells are observed to be at permeabilized state during the given pulse gap (Teissie et al., 1999). Furthermore, the literature showed that the temperature at which cells are electroporated or the temperature that is raised into the electroporation cuvettes due to multiple pulses has a prominent influence on the secretion of proteins or enzymes as well as on the viability of cells (Teissie et al., 1999). It is also reported that maintaining the temperature at low level helps to avoid rapid resealing of electropores, and facilitates the maximum uptake of DNA or macromolecules into cells (Prasanna and Panda, 1997). For that reason, it is assumed that allowing resting time or the combination of both pulse gap and temperature control between two successive pulses may increase the secretion of Lglutamate produced in M. glutamicus. Hence, an experiment was conducted in which 30min pulse gap was given between two consecutive pulses (up to 5 pulses) at 12.5kV cm-1, 200 and 25µF, and the electroporation cuvettes containing pulsed samples were kept in an ice bath (4C) while allowing 30min resting time between pulses in order to enhance the L-glutamate production. However, the results showed that L-glutamate secretion was not increased significantly (less than 1% as compared to the control) by the effort (Figure 4.6 and 4.7). 125 Glutamate, mM 31 29 27 25 Control 2 3 4 5 No. of pulses treated Control 30min pulse gap Cuvettes kept in ice bath while allowing pulse gap Figure 4.6 Effect of providing pulse gap (30min) and controlling the temperature of pulsed samples at 4C between two consecutive pulses on the secretion of L-glutamate (fermentation broth cultivated for 24h was pulsed at 12.5kV cm-1, 200 and 25µF). Glutamate, mM 61 59 57 55 Control 2 3 4 5 No. of pulses treated Control 30min pulse gap Cuvettes kept in ice bath while allowing pulse gap Figure 4.7 Effect of providing pulse gap (30min) and controlling the temperature of pulsed samples at 4C between two consecutive pulses on the secretion of L-glutamate (fermentation broth cultivated for 48h was pulsed at 12.5kV cm-1, 200 and 25µF). 126 4.3.3. Effect of electric field strengths, providing resting time and controlling the temperature of samples while pulsing repetitively on the release of total protein and enzymes (GDH and MDH) by M. glutamicus Besides L-glutamate, the effect of electric pulses on the secretion of total protein and enzymes (GDH and MDH) of M. glutamicus was investigated. In this attempt, M. glutamicus cells grown on Seed Medium were collected after 16h of cultivation, and approximately 400µl of samples was transferred into the electroporation cuvettes. Cuvettes were then repetitively pulsed (up to 5 pulses) at 7.5, 10.0 and 12.5kV cm -1 where cells were treated without giving any resting time between two consecutive pulses, with giving 30min pulse gap and by keeping the cuvettes in ice bath (4C) while allowing pulse gap in order to increase the secretion of total protein and enzymes (GDH and MDH) of M. glutamicus. The number of samples pulsed for increasing the release of total protein and enzymes (GDH and MDH) on each occasion was three. However, the results demonstrated that electric pulse, irrespective of the field strengths and number of pulses applied, has no prominent influence on the secretion of total protein (Figure 4.8). In addition, it was observed that the secretion of total protein cannot be increased significantly by providing resting time between pulses (up to 5 pulses) or by maintaining the temperature at 4C while allowing pulse gap (Figure 4.9 and 4.10, respectively). The maximum increase (only 1.9% higher as compared to the control) of total protein secretion was determined in samples treated at 12.5kV cm-1 by 2 pulses (Figure 4.9). In the case of samples kept at 4C in between two successive pulses, only 0.8% increase of total protein secretion due to 12.5kV cm-1 by 5 pulses was observed as compared to the samples treated without maintaining the temperature (Figure 4.10). However, the activities of MDH and GDH in both control and pulsed samples were below the detection level. 127 225 Total protein, µg/ml 220 215 210 205 200 Control 1 2 3 4 5 No. of pulses treated Control 7.5kV/cm 10.0kV/cm 12.5kV/cm Figure 4.8 Effect of electric field strengths on the total protein release by M. glutamicus. 225 Total protein, µg/ml 220 215 210 205 200 Control 2 3 4 5 No. of pulses treated Control 7.5kV/cm 10.0kV/cm 12.5kV/cm Figure 4.9 Effect of providing pulse gap (30min) between two pulses (in the case of multiple pulsing) on the total protein release by M. glutamicus. 128 225 Total protein, µg/ml 220 215 210 205 200 Control 2 3 4 5 No. of pulses treated Control 30min pulse gap Cuvettes kept in ice bath while allowing pulse gap Figure 4.10 Effect of controlling the temperature of samples at 4C while allowing 30min pulse gap on the total protein release by M. glutamicus (pulsed at 12.5kV cm-1, 200 and 25µF). 4.3.4. Effect of the type of strains, providing resting time and controlling the temperature of samples while pulsing repetitively on the release of total protein and enzymes (GDH and MDH) by E. coli It was assumed that the enhancement of L-glutamate and total protein secretion by electropermeabilization might not have occurred because of the presence of a rigid cell wall of M. glutamicus. Hence, the effect of similar strength of electric pulses to the cell suspension of E. coli, a Gram-negative microorganism that contains less peptidoglycan in the cell wall, was investigated whether electroporation can improve the secretion of total protein and enzymes (GDH and MDH) of E. coli. As with M. glutamicus, E. coli cells grown on Nutrient Medium were collected after 16h of cultivation, and 400µl of samples was transferred into the electroporation cuvettes. Samples were repetitively pulsed (up to 5 pulses) at field strengths of 7.5, 10 and 12.5kV cm-1 where cells were treated without giving any resting time between two consecutive pulses, with giving 30min gaps and by keeping the cuvettes in ice bath (4C) while allowing pulse gap in order to increase the 129 secretion of total protein and enzymes (GDH and MDH) of E. coli. The number of samples pulsed for increasing the release of total protein and enzymes (GDH and MDH) on each occasion was three. As with M. glutamicus, only 1.2% increase of total protein of E. coli as compared to the control was observed in samples treated at 12.5kV cm-1 by 5 pulses. However, the results demonstrated that electric pulse, irrespective of the field strengths and number of pulses applied, has no major influence on total protein secretion of E. coli (Figure 4.11). In the case of samples kept at 4C in between pulses, only 0.3% increase of total protein due to 12.5kV cm-1 by 5 pulses was observed as compared to the samples treated without maintaining temperature (Figure 4.12). However, the activities of MDH and GDH in both control and pulsed samples were below the detection level. 275 Total protein, µg/ml 270 265 260 255 250 Control 1 2 3 4 No. of pulses treated Control 7.5kV/cm 10.0kV/cm 12.5kV/cm Figure 4.11 Effect of electric field strengths on the total protein release by E. coli. 130 5 275 Total protein, µg/ml 270 265 260 255 250 Control 2 3 4 5 No. of pulses treated Control 30min pulse gap Cuvettes kept in ice bath while allowing pulse gap Figure 4.12 Effect of controlling the temperature of samples at 4C while pulsed on the total protein release by E. coli (field strength, 12.5kV cm-1 with 30min gap between pulses). 4.3.5. Effect of the pre-treatment of cell permeabilizing agent (DTT) before pulsation on the release of total protein and enzymes (GDH and MDH) Since C. glutamicum is has an unusual cell wall structure with a lipid-rich mycolic acid layer (Brennan and Nikaido, 1995; Puech et al., 2001), it is assumed that the cell wall of this bacterium treated with any chemical agent followed by high voltage electric pulses may reduce the cell wall resistance, and eventually increase the secretion of total protein and enzymes (MDH and GDH). In order to investigate this hypothesis, DTT was added into the cultivation broth of both M. glutamicus (grown on Seed Medium) and E. coli (grown on Nutrient Medium) in which the concentration of this reagent was 20mM, incubated for 30min, and thereafter pulsed at 12.5kV cm-1, 200 and 25µF. The number of samples pulsed for increasing the release of total protein and enzymes (GDH and MDH) on each occasion was three. Samples were repetitively treated with multiple numbers of pulses (up to 5) without given any resting time between pulses. The results showed that addition of DTT into cell suspension before pulsation does not increase the 131 total protein secretion significantly, irrespective of the field strengths, number of pulses and the bacterial strains used in this study (Figure 4.13). However, the activities of MDH and GDH in both control and pulsed samples were below the detection level. Total protein, µg/ml 280 260 240 220 200 Control DTT Control DTT (-), pulses(-) (+), pulses(-) 1 2 3 4 No. of pulses treated M. glutamicus E. coli Figure 4.13 Effect of DTT addition followed by pulsation at 12.5kV cm-1, 200 and 25µF on the release of total protein. 4.3.6. Effect of the pulsing media in which cells are suspended on the release of total protein and enzymes (GDH and MDH) by M. glutamicus It has been demonstrated that the efficiency of membrane electropermeabilization is significantly affected by the pulsing media (especially by its conductivity and osmolarity) that are generally used for washing and suspending cells before and during electroporation (McIntyre and Harlander, 1989b). Since all the investigations conducted in this study so far failed to increase the production of L-glutamate and total protein, it was assumed that the transfer of electricity in the cultivation broth of both M. glutamicus (grown on Seed Medium) and E. coli (grown of Nutrient Medium) might be affected although a definite electric field strength was applied during pulsation. It was then decided to investigate how the medium conductivity affects the pulse electric fields as well as the molecular transport of protein and enzymes from cells. Hence, M. glutamicus 132 5 cells were harvested at 4500g 4C for 10min, and pellets (1g Dw) were dissolved with 4ml of sterilized distilled water (least conductivity medium). Approximately 400µl of resulting cell suspension was transferred in electroporation cuvettes and treated with up to 4 pulses at 12.5kV cm-1, 200 and 25µF, where pulsed cells were kept at 4C while giving 30min pulse gap in between two consecutive pulses. The number of samples pulsed for increasing the release of total protein and enzymes (GDH and MDH) on each occasion was three. Surprisingly, Figure 4.14 demonstrated that electric pulse has a prominent effect in intracellular protein secretion since the concentrations of protein were measured 132, 145 and 139µg ml-1 in the case of cells treated with 2, 3 and 4 pulses, whereas it was 122µg ml-1 in control (without pulse treatment). Intracellular protein secretion µg/ml 200 150 100 50 0 Control 2 3 4 No. of pulses treated Figure 4.14 Release of intracellular proteins of M. glutamicus due to pulse at 12.5kV cm-1, 200 and 25µF (cell pellet, 1g DW was dissolved in 4ml of sterilized distilled water). As with total protein, the activities of MDH and GDH (U ml-1) in these pulsed samples were analyzed. Nevertheless, the activities of those enzymes in both control and pulsed samples were below the detection level, irrespective of the electric field strengths, number of pulses, and the bacterial strains used in this study. In order to investigate the 133 efficiency of electropermeabilization as compared to the methods usually used for intracellular protein and enzymes recovery, crude extract of M. glutamicus was prepared by harvesting cells at 4500g 4C for 10min. Cell pellet (1g Dw) were dissolved in 4ml of Tris-HCl 100mM plus 2.5mM MgCl2 buffer (pH 7.2), and thereafter disrupted the resulting cell suspension by both sonication and French press (Section 4.2.6). The results showed that the concentrations of intracellular protein measured in sonicated and French pressed samples were 315 and 1011µg ml-1 (Figure 4.15). Like the pulsed samples, no activities of GDH and MDH were detected in sonicated samples, whereas the activities in French pressed samples (M. glutamicus) were 0.4U ml-1 and 29U ml-1, respectively. Intracellular protein secretion, µg/ml 1200 1000 800 600 400 200 0 Control Sonicated French pressed 2 pulses 3 pulses 4 pulses Figure 4.15 Release of intracellular proteins of M. glutamicus due to sonication, French press and electroporation (pulsed at 12.5kV cm-1, 200 and 25µF). 134 4.4. Discussion The scope of this study was to investigate whether the electropermeabilization of M. glutamicus can offer a potential advantage over the conventional methods of amino acids production, and to establish this approach for the intensification of industrial bioprocesses. It was expected that high intensity of electric pulses create electropores on the cell membrane of M. glutamicus, increase the membrane permeability to L-glutamate, and thereby enhance the glutamic acid production. A series of experiments was carried out where the electroporation parameters were optimized carefully in order to increase the secretion of L-glutamate that is produced by cultivating of M. glutamicus under biotin limited condition. In order to investigate the most favourable production phase that needs to be considered for increasing the L-glutamate production by electropermeabilization, M. glutamicus cells collected after 24 and 48h of fermentation (production phase of Lglutamate) were pulsed with a range of electric field strengths (i.e., 7.5 to 12.5kV cm-1). The results clearly demonstrated that increasing the intensity of electric pulses (7.5 to 12.5kV cm-1) and numbers of treatment (up to 5) have no significant influence in increasing the L-glutamate secretion, irrespective of the production (L-glutamate) phases applied for electropulsation (Figure 4.4 and 4.5). The maximum increase of L-glutamate production was measured only 2.6% as compared to the control while samples were treated at 12.5kV cm-1 by 4 pulses. Nevertheless, it has been confirmed that the electroinduced secretion of proteins is dependent on the age of cultures used for electroporation (Ganeva and Galutzov, 1999). Ganeva et al. (2003) reported that cells growing in the stationary phase are suitable for the electroextraction of proteins or enzymes. The release of -galactosidase from Kluyveromyces lactis by electropermeabilization was shown to be dependent on the growth phase of bacteria since a significant electroextraction of -galactosidase (75-80%) was obtained from cells grown in the stationary phase without any further treatment (Ganeva et al., 2001). In this study, the influence of similar strength of electric field and pulse number on the release of cytoplasmic enzymes (MDH and GDH) and total protein of M. glutamicus was also investigated. However, no remarkable influence of electric pulses, irrespective of the field strengths and number of pulses applied, on the release of total 135 protein was observed (Figure 4.8). Hence, it was supposed that the electroenhancement of L-glutamate, protein and enzyme secretion might be restricted because of having a rigid cell wall of M. glutamicus. Nevertheless, this assumption was ruled out while the application of similar intensity of pulses did not exhibit any major influence on the secretion of total protein of E. coli (Figure 4.11). Although this study showed that electric pulses have no prominent influence on L-glutamate, total protein and enzymes (MDH and GDH) secretion, it is well-established that the application of high-intensity, short, electric field pulses to living cells permeabilizes the plasma membrane, and allows a free exchange of ions and molecules between the cytoplasm and surrounding media (Tsong, 1991). Ohshima and his colleagues (2000) recovered the foreign proteins (-glucosidase, -amylase and cellobiohydrolase) from the recombinant strains of E. coli (E. coli/pNC1, E. coli/pHI301A and E. coli/pNB6, respectively) by pulsing at 10kV cm-1 and 200J ml-1. Furthermore, Rols and Teissie (1998) demonstrated that an increase in the number of pulses enhances the rate of permeabilization. The uptake of Cr51 - EDTA has been shown to be enhanced greatly due to an increase of pulse number above 8 (Gehl and Mir, 1999). Ganeva et al. (1995) demonstrated the leakage of intracellular proteins from S. cerevisiae after the application of a single rectangular pulse (25kV cm-1) with a duration of 10-25ms. Their results also showed that the number of permeabilized cells and the flow of macromolecules (fluoresceinated dextran, FD70) across the cell membrane increased with an increase in electric field strength, pulse duration and number of pulses (Ganeva et al., 1995). Deng et al. (2003) demonstrated that the pulse with longer duration results in increase of membrane permeability. Pulse duration has been shown to be a crucial factor for the penetration of macromolecules [fluorescein isothiocyanate (FITC)dextran, -galactosidase and plasmid DNA)] into CHO cells since there was no permeabilized cells detected at pulse duration shorter than 1ms (Rols and Teissie, 1998). The uptake of Cr51 - EDTA (non-radioactive marker) into skeletal muscle fibers was approximately 1nM at a pulse duration of 5ms, whereas it increased 6-fold higher in presence of pulse duration of 25ms (Gehl and Mir, 1999). It has been demonstrated that a higher electric field strength and longer pulse duration resulted in a greater number of permeated cells, irrespective of the type of microorganisms, and excreted higher 136 concentrations of ATP in the extracellular environment (Aronsson et al., 2005). Moreover, the expansion of transient electropores and the resealing rate of electroporation depend on both the pulse number and duration (Rols and Teissie, 1989). However, the influence of pulse duration on the secretion of L-glutamate and total protein and enzymes of M. glutamicus was not investigated since the electroporator that was used in this study does not offer to control this parameter. Teissie et al. (1999) demonstrated that the kinetics of protein efflux due to electropermeabilization is a long lasting process although a very fast leakage is detected just after the pulse. It was presumed that the secretion of L-glutamate and total protein of M. glutamicus might be limited due to the rapid releasing of electropores. Therefore, it is vital to increase the opening or resealing time of electropores in order to enhance the efficiency of extraction by electropermeabilization. Although pulsed cells of M. glutamicus and E. coli were given 30min pulse gap between two consecutive pulses at 12.5kV cm-1 with up to 5 pulses, no promising influence of electric pulses on the secretion of L-glutamate (Figure 4.6 and 4.7) and total protein (Figure 4.10 and 4.12 in the case of M. glutamicus and E. coli, respectively) was observed. However, it has been reported that pulsed cells that are given with certain resting time between two consecutive pulses have a prolonged permeabilized state facilitating the transfer of DNA or foreign molecules or intracellular proteins or enzymes across the membrane (Prasanna and Panda, 1997; Teissie et al., 1999). It has also been reported that increase of medium temperature during pulsation has a harmful effect on the properties of protein or enzymes that are inserted or excreted into or from the cells, respectively (Gallo et al., 2002; Rols et al., 1994). For instance, an increase of intensity from 2.7 to 3kV cm-1 resulted in about 90% decrease of GAPDH activity in the supernatant of pulsed cells (Ganeva et al., 2003). Electrotransformation protocols are, therefore, carried out at low temperatures (0-4°C) with the use of cold buffers or by chilling the electroporation cuvettes contained the targeted cells (Teissie et al., 1999). In this study, while pulsed cells of M. glutamicus and E. coli were kept in ice bath (4C) between consecutive pulses, no promising influence of electric pulses on the 137 secretion of L-glutamate (Figure 4.6 and 4.7) and total protein (Figure 4.10 and 4.12 in the case of M. glutamicus and E. coli, respectively) was observed. However, Nanda and Mishra (1994) demonstrated that the permeabilization of erythrocyte membranes by electric pulses is substantially improved by controlling the incubation temperature of cells before, during and after pulsation. It was supposed that all the above-mentioned efforts conducted in this study in order to improve the secretion of L-glutamate and total protein might have failed because of having high conductivity of fermentation and culture media (Seed and Nutrient Media for M. glutamicus and E. coli, respectively) used for electroporation. Since the electroporation medium with high conductivity decreases the intensity of electric pulse, cells might not be exposed by the actual voltage generated from the Bio-Rad Gene Pulser. In literature, several experiments have been demonstrated that addition of different chemicals or reagents in cell suspension affects the structure of membrane, and apparently increases the number of pores on the cell wall after electropulsation (Ganeva et al., 1995; 2003; Ganeva and Galutzov, 1999). However, this study revealed that pretreatment of M .glutamicus and E. coli cells with DTT (20mM, final concentration) before electroporation has no prominent influence on the secretion of total protein, MDH and GDH, irrespective of the field strengths, number of pulses and the bacterial strains used in this study (Figure 4.13). Nevertheless, it has been reported that thiol compounds reduce the disulphide bridges in the mannoprotein layer and increase the cell wall porosity. Macromolecule transfer through the yeast cell wall was successfully accomplished by pre-incubating cells with thiol compounds (De Nobel et al., 1989). Approximately 7-fold increase of protein and a dramatic improvement in transfer of FD70 have also been observed while incubating yeast cells with DTT prior to pulsation (Ganeva et al., 1995). The electroinduced effluxes of protein and enzymes have also been achieved by the pre-treatment of S. cerevisiae with DTT (Ganeva and Galutzov, 1999). In the case of all studies mentioned above, however, pre-treatment of cells with DTT before electropulsation has been carried out for the secretion or extraction of protein or enzyme of yeast. It is obvious that the cell wall structure of bacteria is more rigid than 138 that of yeast, and hence the cell wall of M. glutamicus might not be affected by the addition of DTT. Furthermore, a buffer (Tris-Tricine buffer, pH = 7.5) having low conductivity as compared to the growth medium was used for washing and suspending the yeast cells that were pre-treated with DTT before pulsing with a series of high intensity electric pulses (Ganeva et al., 1995; 2003; Ganeva and Galutzov, 1999). In this study, on the other hand, DTT was added directly into the Seed Medium in which M. glutamicus was grown, and thereafter pulsed at 12.5kV cm-1, 200 and 25µF. It is, therefore, assumed that the secretion of protein and enzymes by electropermeabilization, irrespective of the treatment of cells with DTT before pulsation, might be restricted due to the high conductivity of culture media used for pulsation. Like DTT, the effect of glycine on the release of enzymes from the recombinant of E. coli has been investigated by pulsing cells at 10kV cm-1 and 200J ml-1. The secretion of -glucosidase increased due to increase of glycine concentration into the pulse medium, and the maximum amount of enzyme was achieved when the glycine concentration was 5%, whereas an opposite effect was observed in the case of cellobiohydrolase and -amylase. In addition, the highest amount of -amylase was secreted at 5% PEG although the concentration of total protein gradually decreased due to increase of PEG in electroporation medium (Ohshima et al., 2000). These results confirmed that the efficiency of protein or enzyme secretion due to these chemicals or reagents depends on the type of product excreted by electropermeabilization. Similar to the preincubation with a detergent, Ganeva et al. (2001) demonstrated that the efficiency of electroinduced protein release is dependent on the composition of post-pulse medium. The addition of glycerol and DTT in the post-pulse medium showed an increase of GAPDH and PGK activities in the supernatant of electrically treated cells (Ganeva et al., 2003). Ganeva and Galutzov (1999) also demonstrated that addition of potassium or sodium chloride (50mM) in the post-pulse medium (50mM Tris-Tricine, pH 7.5) provoked an accelerated release of proteins and enzymes i.e, PGK, GLR and ADH. Due to time restriction, however, the influence of using post-pulse medium on the secretion of protein and enzymes of M. glutamicus was not investigated in this study. 139 However, when M. glutamicus cells (1g Dw) dissolved in 4ml of sterilized dH2O were treated with up to 4 pulses at 12.5kV cm-1 in conjunction with the 30min resting time at ice bucket (4C), approximately 19% increase of total protein (M. glutamicus) as compared to the control was measured in sample treated by 3 pulses. This result indicated that the conductivity of medium in which cells are suspended has a major influence on the efficiency of electropermeabilization. However, treatment of this cell suspension with more that 4 pulses was not possible due to high concentration of cells in dH2O (Figure 4.14). Several experiments suggested that the ionic content of the extracellular medium is an important factor that can influence the yield of electropermeated cells, as well as initial field strength, pulse time constant and salt concentration (Muraji et al., 1993; Tatebe et al., 1995). Ohshima et al. (1995) demonstrated that the medium conductivity that is increased (over 2mS cm-1) due to pulse electric field reduces the electric voltage and pulse width, and eventually results in lower concentration of released proteins. This phenomenon will be severe while cells are treated with multiple numbers of pulses for the electroextraction of a particular intracellular product (Ohshima and Sato, 2004). The conductivity of an electroporation buffer greatly affects the electroporation efficiency (Pucihar et al., 2001). Muller et al. (2001) showed that a reduction in ionic conductivity increases the uptake or release of various molecules. The uptake of membrane-impermeable dye PI in low-conductivity media (1mS cm-1) was considerably higher than that in high-conductivity media (4-5mS cm-1) (Muller et al., 2001). Like mammalian cells, the amount of energy required in order to obtain a certain percentage of permeabilized cells is dependent of the conductivity of electroporation buffers. Approximately 70% permeabilized cells of L. plantarum was obtained by delivering an energy of 14J ml-1 to a phosphate buffer having a conductivity of 0.4S m-1, whereas it was 100J ml-1 in the case of a conductivity of 1.5S m-1 in order to achieve the same permeabilization (Wouters et al., 2001). Although this study demonstrated that medium conductivity is the major barrier to increasing the secretion of amino acids and intracellular protein and enzymes, no conductometer was used to determine the conductivities of media (Seed and CGXII) and pulsing buffers. However, the time constants obtained during pulsation at a certain voltage were used as an indication of the 140 conductivities of media or buffers used in this study. The time constant depends on both the resistance of suspension and the capacitance of the capacitor. Furthermore, the resistance of suspension is inversely related to its conductivity. When M. glutamicus cells suspended in H2O were pulsed, higher time constants (2.87msec for 24h culture) as compared to those achieved by electropulsing the cells suspended in Seed Medium (1.08msec for 24h culture). This study clearly demonstrated that the efficiency of electropermeabilization in secreting of total protein was lower than that of conventional methods since the amount of protein measured in sonicated and French pressed samples were 2.2 and 7.0-fold, respectively, higher than that of samples pulsed at 12.5kV cm-1 by 3 pulses (Figure 4.15). In addition, the activities of GDH and MDH in French pressed samples were 0.4U ml-1 and 29U ml-1, respectively, whereas no activities were determined both in pulsed and sonicated samples. Similar to these results, the maximal protein concentration (40µg ml-1) obtained due to electric pulses was approximately 30% of glass beads homogenization (Ohshima et al., 1995). The same group also observed that the amount of released βglucosidase from the recombinants of E. coli by pulsed electric fields (PEF) is only 26% of that by ultrasonic treatment, whereas the specific activities of -amylase and cellobiohydrolase were 9 and 1.9-fold, respectively, higher than that of the ultrasonic treatment (Ohshima et al., 2000). Their results demonstrated that the applied PEF easily disrupted the outer membrane of cells, but was not enough to disrupt the cytoplasmic membrane simultaneously, indicating that this technique will be suitable especially for the release of periplasmic proteins. Although the concentrations of released proteins by pulse treatment are relatively lower than that by the usual methods, electropermeabilization permits the selective release of the products of interest from microorganism (Ganeva and Galutzov, 1999; Ohshima et al., 1995; 2000). In addition, electropermeabilization is simpler and less destructive to proteins or enzymes as compared to the routinely applied methods (mechanical breakage and chemical extraction) used in protein or enzyme extraction (Ganeva and Galutzov, 1999). The isolation of desired proteins with a high percentage of 141 purity by use of traditional methods often encounters with many technical difficulties since the protein or enzyme of interest is often contaminated with host proteins and other unknown contaminants (Ohshima et al., 1995). Electroporation has low operating cost, and the time required for the maximum recovery of intracellular products by this approach is considerably shorter than that of chemical extraction where a long incubation (24h to several days) with a particular agent is mandatory (Breddam and Beenfeldt, 1991). It has been reported that electroporation does not cause cell fragmentation (Ganeva et al., 1995), and this approach will be effective for the isolation of recombinant proteins that are highly sensitive to proteolytic degradation (Ganeva et al., 2003). Electropermeabilization might have the greatest potential in industrial bioconversion processes where biological systems with the continuous production of metabolites and their subsequent extraction by high voltage electric pulses will increase the speed and efficiency of production (Ganeva et al., 2003). However, the electroporation units that are currently available commercially cannot generate high electric field strength in order to achieve maximal permeabilization efficiency in many bacterial strains (Mercenier and Chassy, 1988). The volume of sample that can be pulsed by a single treatment using the available electroporator is very small. Nevertheless, the recent improvements in the pulsing instruments may allow us to apply electric pulses with controlled parameters. A large volume flow electroporator has been designed by MaxCyte Inc. (USA) in order to overcome the limitation of sample size. In this system, cells are first suspended in pulsing buffer together with the target molecules. The resulting cell suspension is pumped through the disposable flow chamber, and pulsed with an appropriate electric field strength while flowing in the chamber (Li et al., 2002). High transfection efficiency was achieved by this approach using cell volumes up to 50ml with a cell densities ranging from 1 to 8 107 cells ml-1. Finally, the results obtained from this study confirmed that the extraction or isolation of proteins or enzymes (that are not usually secreted or excreted into the fermentation medium) through the electropermeabilization would be an alternative approach in the field of biotechnology. In this case, cells growing at a certain growth 142 stage are required to suspend and pre-incubate in a low conductivity buffer before applying the electric pulses. After pulsation, cells are needed to keep in a specific medium in which the secretion or excretion of the product of interest will take place. However, the electroenhancement of L-glutamate or any proteins and enzymes secretion is strongly dependent on the conductivity of fermentation medium, electric field strength and number of pulses. The intracellular L-glutamate (produced in M. glutamicus) that is not usually excreted into the extracellular medium by the well-established treatments (biotin limitation, surfactant addition and penicillin/ethambutol addition) could easily be secreted by electroporation increasing the overall yield of L-glutamate. It is expected that the findings obtained in this study may assist researchers to design the electropermeabilization experiment in which the yield of a certain product will be increased. Hence, careful optimization of electroporation factors, such as cellular, physiological and electrical is mandatory in order to excrete intracellular products through the membrane electropermeabilization. 143 Chapter FIVE 5. Transient Bioprocessing: Electroporation Cell Viability in Intensified and Membrane Permeabilization 5.1. Introduction Developing an eletropermeabilization procedure for either molecular biology or bioprocessing purposes is always a challenge since the efficiency of this approach is directly related to the membrane permeability and viability of cells (Teissie et al., 1999). However, these two important features are generally influenced by the different factors, such as electrical (pulse amplitude, pulse duration, number of pulses and pulse type), cellular (cell size, shape, growth stage and structural configuration of cell wall) and physical (temperature, osmotic pressure and electroporation medium) associated with electroporation. Among these, however, membrane permeabilization is mostly controlled by the electrical factors (Prasanna and Panda, 1997). Canatella et al. (2001) mentioned that the typical electrical conditions for electroporation are the field strengths of 1 to 20kV cm-1 and pulse duration of 10µs to 10ms, which may vary depending on the type of cells and its particular application in biotechnology. Without adjusting the abovementioned parameters, nevertheless, cells may not return into their normal physiological state and eventually lose their viability although a high level of membrane permeabilization is usually observed after pulsation (Teissie et al., 1999). Haest and his co-workers (1997) observed an asymmetry in lipid bilayer and a loss of phospholipids in the membrane of human erythrocyte after electroporation. It has also been reported that membrane permeabilization results in an entrance of water into cells, and consequently increases the volume of cells that may lead to the rupture of cell membrane (Golzio et al., 1998). Under mild pulse conditions, permeabilization appears 144 as a reversible process that weakly affects cell viability, while drastic electrical conditions lead to cell death (Vernhes et al., 1999). However, pulsed cells recover their original permeability within 30min of incubation at room temperature (RT), although the resealing process may be varied depending on the conditions applied. Teissie and Rols (1988) demonstrated that the viability of CHO cells reduced due to increase of electric field strength although the permeability of cell membrane was observed to be increased significantly. Furthermore, Vernhes et al. (1999) demonstrated that the viability of CHO cells was affected more severely in the presence of a strong electric field with short pulse duration than in a weak electric field with longer pulse duration. There is close correlation between the cell viability and the efficiency of electrotransformation since the decrease in transformation efficiency (TE) occurs due to the reduction of cell viability (Rols et al., 1992). Apart from the effect of high intensity electric pulses, several factors have been mentioned that show a strong influence on the viability of cells while conducting an electroporation experiment. Miller et al. (1988) demonstrated that the efficiency of transformation (C. jejuni) is affected by the increased temperature generated during electroporation. Hence, pre and post incubation at certain temperature before and after electroporation have been suggested in order to increase the viability of cells as well as the efficiency of transformation. For instance, Rols et al. (1994) observed that electroporated samples (mammalian cells) with a pre-incubation at 4C and post-incubation at 37C increased cell viability. The survivability of cells during electroporation is also dependent on the type of cells and their membrane configuration. Hattermann and Stacey (1990) demonstrated that B. japonicum cells are more resistant to high-voltage electric pulses than mammalian cells, carrot protoplasts, yeast and bacterial cells (E. coli). Garcia et al. (2003) investigated the occurrence of sub-lethal injury of E. coli by PEF at different pH. Although E. coli cells were observed to be injured slightly due to pulse (400µs at 19kV) at pH 7, cells mortality increased up to 99.5% at pH 4. These results clearly demonstrated that pH of pulsing buffer has also an important influence on cell viability. Since the yield of electrotransformants is limited due to the decrease in cell viability, it is important to maintain the number of viable cells as high as possible while conducting an electroporation experiment. 145 Although the different factors of electroporation (especially, electric pulse) affect the viability of cells, appropriate strength of electric field induces transient electropores on the cell membrane and causes reversible permeabilization that allows the foreign molecules or DNA to be introduced into cells or intracellular products to be secreted to the extracellular medium (Teissie et al., 1999). Apart from the electrotransformation, in recent years, this approach has been successfully applied for the isolation of a certain product (protein or enzyme that is not usually secreted into the extracelllular medium) from both bacteria and yeast (Aronsson et al., 2005; Ganeva et al., 1995; 2001; 2003; 2004; Ohshima et al., 1995). Due to the recent advancement of electroporation in bioprocessing, extensive efforts have also been given in order to establish this technique for the continuous production of metabolites by fermentation and their subsequent extraction with the pulse electric field treatment, and thereby increase the yield of production. Nevertheless, it is confirmed that the permeabilization of cell membrane by high intensity electric pulses is not straightforward especially for the enhancement of excretion or secretion of a certain product (for example, L-glutamate) during fermentation. There are several factors associated with the electroporation, which have a major impact for increasing the production of L-glutamate through the membrane permeabilization (Chapter 4). In the case of previous study, M. glutamicus cells growing at the production phase (stationary growth period, 24-48hr of fermentation) were pulsed with a range of electric field strengths in order to increase the secretion of L-glutamate. However, it is obvious that a certain percentage of cells might have killed due to electric pulse, irrespective of the electric field strength applied, and this phenomenon will interrupt the bioprocess while electropermeabilization is considered for the enhancement of product secretion during fermentation. If the electric pulse is severe, a large population of cells will be killed resulting in decreased the overall yield of product. Therefore, it is mandatory to maintain cell viability as high as possible with having the highest level of membrane permeabilization by optimizing the electroporation parameters since pulsed cells need to complete the rest of fermentation. Furthermore, Chen and Lee (1994) demonstrated that the application of high electric voltage causes electroconformational changes of proteins 146 affecting the properties of protein. Therefore, intensive research towards the electroporation factors, method development and optimization are crucial for either developing an electrotransformation protocol or establishing this approach in bioprocessing. It is well defined that viable cells are capable of performing all the cellular functions necessary for survival or growth or reproduction under the given conditions. The number of viable cells in a population is traditionally measured by the agar plate assay in which samples are serially diluted and spread on the agar plates (Hattori, 1988). Cells are then incubated at 25-37C (depending on organism) for 2-3 days that allow cells to form countable colonies on the agar plates. While conducting the electroporation experiments, however, it is necessary to determine not only the cells that survived the treatment but also the number or percentage of cells that are permeabilized (the efficiency of electropermeabilization) by the electric pulses. The quantification of electropermeabilized cells in a population is generally achieved by analyzing the uptake of marker molecules (fluorescent or nonpermeant dyes) through the fluorometry and fluorescence microscopy (Gabriel and Teissie, 1997; 1999). In the case of quantitative analysis of fluorescent [propidium iodide (PI) and calcein] or nonpermeant [trypan blue (TB)] dyes uptake, samples are first labelled with a certain concentration of dye, incubated at 30C and thereafter electropulsed. Pulsed cells are then incubated for 530min at RT and visualized under the fluorescence microscope. The colour of the cytoplasm of permeabilized cells is altered i.e., the cytoplasm turns blue in the case of TB or becomes highly fluorescent in the case of PI (Teissie et al., 1999). Moreover, the release of intracellular metabolite (glucose-6-phosphate) or leakage of ATP has been measured to determine the percentage of permeabilized cells (Rols and Teissie, 1990b). However, these widely established methods have several drawbacks: (i) a random choice of dyes with minimum fluorescence intensity for the characterization of permeabilized cells; (ii) failure to detect cells due to severe electropermeabilization; and (iii) false detection of cellular ghosts lacking of fluorescence due to DNA leakage caused by electropermeabilization (Kotnik et al., 2000). Furthermore, the electropermeabilized 147 CHO cells have been observed to be fused each other during the resealing of pores (Teissie and Rols, 1986). The membrane generally contains some interfacial water molecules that form a well structured network. The energy provided by the external field induces structural change of polar head groups and disorganizes the interfacial water lattice (Sowers, 1986). It has been observed that cells loose the repulsive forces that prevent membranes of two cells fusing spontaneously during electropermeabilization (Rols and Teissie, 1989). It is, therefore, always challenging to detect the permeabilized cells among the total cells population. Bleomycin (BLM), is used as an antitumor agent, causes nucleotide sequencespecific DNA cleavage (Quada et al., 1998) and inhibits the growth of both bacteria and mammalian cells (Kross et al., 1982). It also has the ability to cleave RNA to a lesser extent (Carter et al., 1990). However, BLM is impermeable to an intact cell membrane under normal physiological conditions (Mir et al., 1996). Orlowski et al. (1988) demonstrated that electropermeabilization allows a defined number of BLM molecules to enter directly into the cytoplasm of cells, and increases the cytotoxicity of this molecule by 100-1000 times in vitro (Dev et al., 2000; Mir and Orlowski, 1999; Mir, 2000; Rols, 2006). This compound is currently used in anticancer therapy (Gothelf et al., 2003), where the cytotoxicity of BLM is induced by delivering the electric pulses to the infected tumors. BLM molecules enter into intact cells not by diffusion through the plasma membrane but by a mechanism of receptor-mediated endocytosis (Pron et al., 1999). However, it has been reported that the concentration of BLM (5nM) has no effect on nonpermeabilized cells, whereas it causes the death of electropermeabilized cells (Kotnik et al., 2000). The permeabilization of mammalian cells (Chinese hamster lung, DC3F) has been quantified by using BLM that was added in the electroporation medium before the pulsation. This method is highly selective, accurate, affordable, and has been used for evaluating the membrane permeabilization (Kotnik et al., 2000; Puc et al., 2003). The purpose of this study is to examine how the different factors of electroporation (voltage, capacitance, pulse number, pulse gap/resting time, growth stages of cell, buffers in which cells are suspended and the type of strains) influence the viability 148 and membrane permeability of M. glutamicus. Efforts will be given in order to establish a method for determining the number of permeabilized cells in a given pulsed population with the aid of Bleomycin added (before pulsation) into the cell suspension of M. glutamicus followed by measuring the cell viability through the agar plate assay. The main objective of this investigation is to achieve an indication how these two important features influence the yield of electroextraction while the continuous production of any intracellular protein or enzyme and its secretion during fermentation will be carried out by imposing of high voltage electric pulses. 149 5.2. Material and Methods 5.2.1. Chemicals Peptone from pancreatically digested casein and meat extract were obtained from VWR (Merck, UK). Yeast extract and bacteriological agar were procured from Oxoid, UK; and D-glucose, urea, NaCl and all other chemicals were purchased from Fisher, UK unless otherwise mentioned. 5.2.2. Organisms and cultivation The bacterial strains used for this study were M. glutamicus DSM 20300 (Collins et al., 1977; Suzuki et al., 1981; Yamada and Komagata, 1970; Yamada et al., 1976) and E. coli DSM 498 (Farnleitner et al., 2000) supplied by the German Collection of Microorganisms and Cell Culture (DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH). M. glutamicus DSM 20300 was cultivated in Medium 53 (10g l-1 peptone, 5g l-1 yeast extract, 5g l-1 glucose, 5g l-1 NaCl, 1000ml distilled water, pH adjusted to 7.2-7.4), whereas E. coli DSM 498 was cultivated in Nutrient Medium (5g l-1 peptone, 3g l-1 meat extract, 1000ml distilled water, pH adjusted to 7.0). The stock agar plates were prepared according to the method described previously in Section 3.2.2. M. glutamicus was grown on Seed Medium, whereas E. coli was grown in Nutrient Medium. The composition and preparation of both media were described previously in Section 3.2.2. M. glutamicus was cultivated at 30C and 220rpm, whereas E. coli was cultivated at 37C and 150rpm. All the experiments were performed in 250ml shake flasks containing 50ml of culture media. 5.2.3. Electroporator and pulse treatment Electropermeabilization was carried out using a Gene PulserTM apparatus (BioRad Laboratories, Richmond, CA). The description of this apparatus was mentioned in Section 4.2.4. Bacterial cultures were collected from both the exponential and stationary growth phases, transferred into Bio-Rad electroporation cuvettes (0.2cm), and subsequently pulsed at RT with a range of voltages (1.5, 2.0 and 2.5kV) although the capacitance (25F) and parallel resistance (200) were kept constant in all the experiments. 150 5.2.4. Viability assay on agar plates The viability of cells was measured by the Luria Bertani (LB) agar plates, which contain 10g l-1 peptone, 5g l-1 yeast extract, 10g l-1 sodium chloride and 15g l-1 agar (Bertani, 1951). LB agar plates were prepared according to the method described previously in Section 3.2.2. Pulsed cells were serially diluted with sterile distilled H2O and spread on to the agar plates in an aseptic condition. Plates were then incubated at 30C and 37C for M. glutamicus and E. coli, respectively, and colonies were counted after 48-72h of incubation. Since the viability assay by the agar plate is not precise enough, all the experiments conducted in this study were carried out at least two times, and the number of pulsed samples spread on agar plates was three. The viability of cells was calculated by normalizing the non-electroporated samples (control) to have 100% viability. The ratio of recovered viable colonies in pulsed samples to that of control was then used to determine the relative cell viability at a given electric field strength and pulse number. 5.2.5. Permeabilization assay by Bleomycin (BLM) treatment BLM sulphate, a mixture of glycopeptide antibiotics isolated from a strain of Streptomyces verticillus, was purchased from Sigma-Aldrich, UK. The activity range of this product is 1.2-1.7U mg-1, and the vial contains total of 15U in 10mg of powder. The appropriate concentration required for tissue culture application is dependent on the type of cells. The entire crystalline solid in vial was dissolved with sterile distilled water to make a stock solution (1mg ml-1). This solution was reported to be stable for several days at 0-5°C in a glass container. In the case of electropermeabilization assay, a range of concentrations of BLM was added to the cell suspension of both M. glutamicus and E. coli. Approximately 400µl of BLM added samples were transferred into the electroporation cuvettes (0.2cm electrode gap), and subsequently pulsed with a range of voltages (1.5, 2.0 and 2.5kV) although the capacitance (25F) and parallel resistance (200) were constant. The pulsed samples were kept at RT for approximately 30min after the treatment. Samples were serially diluted with sterile pre-cooled distilled water, and thereafter 100µl samples were spread on agar plates in order to determine the viable colonies. 151 5.3. Results 5.3.1. Effect of voltages, capacitance, number of pulses and pulses gap on the viability of M. glutamicus Exponentially growing cultures of M. glutamicus were directly transferred into the Bio-Rad electroporation cuvettes, and subsequently pulsed with the field strengths of 7.5, 10.0 and 12.5kV cm-1 where the capacitance and parallel resistance were kept constant at 25µF and 200, respectively. In addition, the samples were treated with up to 5 pulses without giving any resting time (gap) between pulses. The results showed a gradual loss of cell viability due to increase of field strength. After applying a single pulse, the percentages of killed cells were measured as 5, 8 and 13 (%) at field strengths of 7.5, 10.0 and 12.5kV cm-1, respectively. A similar trend was obtained when bacterial culture was pulsed with multiple numbers of pulses (up to 5). The relative cell viabilities were measured as 95, 91, 85, 80 and 74 (%) while cell suspension was treated by 1 to 5 pulses, respectively, although the field strength was kept constant at 7.5kV cm-1 (Figure 5.1). A similar phenomenon was also observed in presence of 10.0 and 12.5kV cm-1. The percentages of viable cells measured after treating with 5 pulses were 74, 71 and 64 (%) at field strengths of 7.5, 10.0 and 12.5kV cm-1, respectively. Moreover, the results showed that the viability of cells decreased gradually due to increase in the number of pulses; and the higher the number of pulses, the high cells mortality (Figure 5.1). The percentage of killed cells measured at 12.5kV cm-1 by single pulse was 13%, whereas it was 36% in presence of 5 pulses. Furthermore, the effect of capacitance on the viability of M. glutamicus was investigated where a range of capacitances (5 to 50µF) was applied in presence of field strengths 7.5 and 12.5kV cm -1 (Figure 5.2). The result showed a gradual decrease of cell viability due to increase of capacitance. When the capacitance was set to 50µF, the relative cell viabilities were measured 89 and 78 (%) at 7.5 and 12.5kV cm-1, respectively. Furthermore, pulses at low capacitance (<10µF) did not greatly affect the viability of cells since more than 94% of cells were viable even after pulsed at 12.5kV cm-1 (Figure 5.2). This result demonstrated that capacitance higher than 10µF is required to create large number of electropores on the cell membrane of M. glutamicus. 152 Relative cell viability (%) 120% 100% 80% 60% 40% 20% 0% Control 1 2 3 4 5 No. of pulses treated 7.5 kV/cm 10.0kV/cm 12.5kV/cm Figure 5.1 Effect of voltages and multiple pulses on M. glutamicus viability. Relative cell viability (%) 120% 100% 80% 60% 40% 20% 0% 5 10 15 20 25 50 Capacitance (µF) 7.5kV/cm 12.5kV/cm Figure 5.2 Effect of capacitance on the viability of M. glutamicus (cells were treated by a single pulse). 153 In the case of repetitive pulsing (no pulse gap between two consecutive pulses), the viability of M. glutamicus cells was affected greatly. Since the viability of cells is related to the efficiency of transformation, it is necessary to reduce cells mortality while developing an electroporation protocol. It is assumed that given a certain interval or gap between two successive pulses (in the case of multiple pulsing) may facilitate the recovery of original membrane structure of cells. In order to investigate this assumption, samples were treated with a resting time of 20min between pulses. After treating with a single pulse at certain field strength, electroporation cuvettes were kept at RT for 20min before applying the second one. In both conditions i.e., without gap and 20min gap, it was observed that cells mortality increased with increasing the field strengths and number of pulses. However, the results showed that the viability of M. glutamicus cells increased (approximately 3-10%) due to 20min pulse gap given between two consecutive pulses, regardless of the field strengths and number of pulses applied (Figure 5.3). 5.3.2. Effect of growth stages on the viability of M. glutamicus In order to investigate the effect of growth stage of the cell cycle (used for electroporation) on the viability of M. glutamicus, cell suspensions collected from two growth points were pulsed by imposing a range of field strengths (7.5 to 12.5kV cm-1) and a number of pulses (1 to 5). The results demonstrated that M. glutamicus cells growing at the stationary phase (24h of cultivation) are more sensitive to killing by electric pulses than that of cells growing at the early or mid-exponential phase (12h of cultivation). In the presence of a single pulse at 7.5kV cm-1, the relative cell viabilities measured in exponentially growing cells and cells growing at the stationary phase were 95 and 88 (%), respectively, whereas the viabilities reached to 87 and 78 (%) at 12.5kV cm-1 by treating with a single pulse. Furthermore, the difference in cell viabilities was profound when the cell suspension was treated with more than one pulse (Figure 5.4). However, the viability of M. glutamicus cells varied (approximately 5-20%) due to the difference in growth stages of the cell cycle, irrespective of the field strengths and number of pulses applied in this study. These results confirmed that the viability of cells due to electric pulses is influenced by the growth stages of bacterial culture. 154 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 2 3 4 5 No. of pulses treated 7.5kV/cm 7.5kV/cm + 20min gap 10.0kV/cm Figure 5.3 Effect of pulse gap or resting time on the viability of M. glutamicus. 155 10.0kV/cm + 20min gap 12.5kV/cm 12.5kV/cm + 20min gap 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 1 2 3 4 5 No. of pulses treated 7.5kV/cm (12h) 7.5kV/cm (24h) 10.0kV/cm (12h) 10.0kV/cm (24h) 12.5kV/cm (12h) 12.5kV/cm (24h) Figure 5.4 Relative cell viability by treating with a range of electric pulses to the M. glutamicus cells grown at two different growth stages. 156 5.3.3. Effects of different suspending fluids on the viability of M. glutamicus To examine the effect of using electroporation media or buffers with different conductivities on the viability of M. glutamicus, 5ml of exponentially growing cultures were centrifuged at 4000g and 4C for 5min. Cell pellets were washed twice with the following buffers i.e., distilled H2O, 1mM Tris plus 270mM sucrose (pH 7.2) and 50mM Tris HCl (pH 7.4), and thereafter dissolved in 5ml of mentioned buffers. All the media were sterilized at 121C for 15min, and cooled to 4C before use. Approximately 400µl cell suspension was then transferred into the electroporation cuvettes and treated with up to 5 pulses at 12.5kV cm-1. Pulsed samples were serially diluted, spread on to the agar plates and kept in incubator for further evaluation. The results showed that cells suspended in Seed Medium maintained their viability at a higher level (64%) even after treating with 5 pulses at 12.5kV cm-1, however, the relative cell viabilities measured in distilled H2O, 1mM Tris plus 270mM sucrose and 50mM Tris HCl were 3, 10 and 7 (%), respectively (Figure 5.5). This study also showed that multiple pulses affected the viability of cells, regardless of the media or buffers applied to suspend M. glutamicus cells. In the presence of single pulse at 12.5kV cm-1, the highest percentage of cells reduction was 23% observed in distilled H2O, whereas the relative cell viabilities were 87, 66 and 54 (%) in the case of Seed Medium, 1mM Tris plus 270mM sucrose and 50mM Tris HCl, respectively. The results obtained from this study confirmed that cell viability due to electroporation is also dependent on the composition of buffers in which cells are suspended. 157 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 1 2 3 4 No. of pulses treated -20% Medium Distilled Water Tris 1mM + 270mM Sucrose Tris HCl 50mM Figure 5.5 Effect of suspending fluids on the viability of M. glutamicus (pulsed at 12.5kV cm-1, 200 and 25µF). 158 5 5.3.4. Effects of electric pulses on viability of different strains In order to investigate the effect of electric pulses on the viability of other bacteria, cell suspension of a Gram-negative bacterium (E. coli) were treated with up to 5 pulses at 12.5kV cm-1. The results showed that E. coli is more sensitive to electric pulses than M. glutamicus. Furthermore, the relative cell viability of E. coli was 74 (%), whereas it was 87 (%) in the case of M. glutamicus although the electric field strength (12.5kV cm-1) and pulse number (1) were kept constant. However, a strong influence of electric pulses on the viability of E. coli cells was observed when the number of pulses was 5. Figure 5.6 clearly shows that multiple pulses (5) affect the viability (almost 98% cells were killed) of E. coli tremendously. On the other hand, M. glutamicus cells maintained their viability to 64% even in the presence of similar field strength and pulse number. In addition, the cell viability of M. glutamicus was approximately 13-fold higher than that of E. coli. The results also confirmed that the viability of cells decreased with increasing the pulse number, regardless of the strains applied for electroporation. 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 1 2 3 4 5 -20% -40% No. of pulses treated M. glutamicus E. coli Figure 5.6 Effect of electric pulses on bacterial cell viability (pulsed at 12.5kV cm-1, 200 and 25µF). 159 5.3.5. Assessment of cells electropermeabilization with the aid of Bleomycin M. glutamicus cells growing on Seed Medium were subjected to pulse at 12.5kV cm-1, 200 and 25µF in presence of 5nM Bleomycin (BLM) in order to determine the number of permeabilized cells by agar plate assay. It is observed that cell mortality reached 17% in the case of samples treated with 5nM BLM, whereas approximately 10% cells were killed in samples (without added BLM) although both cell suspensions were pulsed at 12.5kV cm-1, 200 and 25µF (Figure 5.7), indicates that only 7% cells were permeabilized due to this treatment. However, this study showed that approximately 5% cells were killed due to the addition of BLM even though cell suspensions were not treated by the electric pulses. It was assumed that higher concentrations of BLM might be required for determining the membrane permeabilization of M. glutamicus since the size and cell wall composition of this bacterium are completely different from the mammalian cells. Therefore, cell suspensions were pulsed in presence of a range of BLM concentrations (5 to 50nM). Nevertheless, the result did not show any trend of decreasing the number of viable cells due to increase of BLM concentrations in the cell suspensions of M. glutamicus (Figure 5.8). 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Pulse (-) bleo (-) Pulse (-) bleo (+) Pulse (+) bleo (-) Pulse (+) bleo (+) Figure 5.7 Effect of Bleomycin (5nM) on the viability of M. glutamicus subjected to a single pulse at 12.5kV cm-1, 200 and 25µF. 160 100% Relative cell viability (%) 80% 60% 40% 20% 0% Control 5 10 15 20 25 50 Concentration of Bleomycin (nM) Figure 5.8 Effect of a range of blemoycin concentrations on the viability of M. glutamicus exposed to a single pulse at 12.5kV cm-1, 200 and 25µF. It was also assumed that the electrical parameters (field strength, pulse duration and number of pulses) imposed during pulsation in presence of BLM might not be sufficient to create electropores on the cell membrane as well as to transfer BLM molecules into the pulsed cells. Since the Bio-Rad Gene Pulser does not allow us to increase the field strength 12.5kV cm-1 and regulate pulse duration, M. glutamicus cell suspensions were repetitively pulsed (up to 5, without given any resting time between two consecutive pulses) in presence of 5nM BLM. However, no prominent effect of BLM addition on the viability of cells was observed due to increase of pulse numbers (Figure 5.9). It was hypothesized that M. glutamicus cells grown in the Seed Medium presented a considerable barrier in transferring the electric current into the cell suspensions. Therefore, cell pellets were suspended in a buffer (Tris buffer 1mM plus 270mM sucrose, pH 7.2), and subsequently pulsed at 12.5kV cm-1. Although the number of killed cells due to electric pulses was higher in the mentioned buffer as compared to the Seed Medium, there was no indication that the use of a particular buffer instead of culture medium for increasing the BLM cytotoxicity since higher cells mortality might 161 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 1 2 3 4 5 No. of pulses treated Without Bleomycin With Bleomycin Figure 5.9 Effect of Bleomycin (5nM) on the viability of M. glutamicus grown on Seed Medium subjected to multiple pulses at 12.5kV cm-1, 200 and 25µF. 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 1 2 3 4 5 -20% No. of pulses treated Without Bleomycin With Bleomycin Figure 5.10 Effect of Bleomycin (5nM) on M. glutamicus viability suspended in buffer (Tris Buffer 1mM + 270 mM Sucrose) subjected to multiple pulses at 12.5kV cm-1, 200 and 25µF. 162 120% 100% Relative cell viability (%) 80% 60% 40% 20% 0% Control 1 2 3 4 5 -20% -40% -60% No. of pulses treated Without Bleomycin With Bleomycin Figure 5.11 Effect of Bleomycin (5nM) on the viability of E. coli grown on Nutrient Medium subjected to multiple pulses at 12.5kV cm-1, 200 and 25µF. have occurred due to the low due to the low conductivity of buffer (Figure 5.10). It was then assumed that BLM might not be effective in the case of M. glutamicus cells because of the presence a rigid cell wall. Hence, the electropermeabilization of E. coli grown on Nutrient medium was investigated by adding 5nM BLM, however, there was no cytotoxic effect observed in the pulsed cells of E. coli (Figure 5.11). 163 5.4. Discussion The results obtained from this study clearly showed that increasing the electric voltage and pulse number decreased the viability of M. glutamicus. After imposing a single pulse to the cell suspension of M. glutamicus grown on Seed Medium, the percentages of viable cells reached to 95, 92 and 87 (%) at 7.5, 10.0 and 12.5kV cm-1, respectively (Figure 5.1). A similar trend was observed while the cell suspension was treated with up to 5 pulses i.e., the relative cell viabilities were measured 74, 71 and 64 (%), respectively (Figure 5.1). It has been reported that high intensity of electric field strength leads to the permeation of a wider area or to the formation of a large number of pores that may exceed the resealing limit, and eventually results in large reduction in number of cells (Hui, 1996). Dower et al. (1988) showed that increasing the field strengths and pulse number decreased the viability of E. coli whilst developing a transformation procedure by electroporation. The highest yield of transformants was obtained while only 30 to 40% cells were survived due to the electric shock. Moreover, Fiedler and Wirth (1988) demonstrated that application of multiple pulses reduced the TE due to loss in cell viability while electroporating the plasmid DNA into Enterococcus faecalis, E. coli and Pseudomonas putida. In literature, most of the investigators determined the yield of transformant rather than cell viability while examining the effect of electroporation factors to a particular microorganism. However, the efficiency of electrotransformation is linked to cell viability since the transformation efficiency (TE) has been observed to be limited by the viability of cells (Rols et al., 1992). For this reason, maintaining the cell viability as high possible during pulsation is the most important factor for the success of electroporation. Similar to bacterial cells, Canatella et al. (2001) demonstrated that the viability of prostate cancer cells (DU 145) decreased due to increase of field strengths although the uptake of calcien, a model cell-impermeant, was observed to be increased with increasing field strengths. The loss in cells (CHO) viability is dependent on the electrical parameters, although the permeability of CHO cells increased because of increasing electric field strengths. At 800V cm-1, the level of permeabilization reached 75%, whereas the viability of cells decreased to 60% (Golzio et al., 1998). However, this study 164 confirmed that pulse with high voltage has a severe effect on the viability of cells although a high membrane permeabilization might be observed after electroporation. Hence, it is obvious that the pulsed electric field must be high enough to create electropores on the cell membrane, nevertheless, it should not be exceeded to a certain level that leads to excessive cell death. The viability of cells could be preserved by decreasing the electric field intensity with longer pulse duration (Gabriel and Teissie, 1995; Wolf et al., 1994). Gabriel and Teissie (1997) reported that increasing the field strength tends to increase the area of cell membrane, whereas increasing the pulse duration enhances the degree of perturbation of the affected membrane area. Nevertheless, the influence of pulse duration on the viability of M. glutamicus was not investigated in this study since the Bio-Rad Gene Pulser does not allow the user to regulate this parameter. This study clearly showed that the viability of cells affected greatly whilst M. glutamicus cells were repetitively pulsed without given any resting time (pulse gap) between two consecutive pulses. This phenomenon was observed because the resealing process of electroinduced cells might be hampered by not getting enough time to return back to their normal physiological state. While allowing 20min resting time between two successive pulses, the results showed that the relative cell viability of M. glutamicus was increased approximately 3-10% depending on the field strengths and number of pulses (Figure 5.3). Although cell viability was affected due to multiple pulses, pulsed cells with given resting time might have enough time to rearrange their structure, whereas the viability in the case of cells pulsed without providing any resting time was affected enormously. Teissie et al. (1999) also demonstrated that the number of resealed cells after pulsation was increased considerably by providing resting time between two pulses. Apart from the consequence of multiple pulses on cell viability, there might be an additional effect due to increase of temperature during multiple pulses. Fologea et al. (2004) demonstrated that a prolonged exposure of cells at high temperature decreased cell viability. In the case of in vitro experiments, this injurious effect might be controlled by using a low ionic content pulsing buffer or treating cells with low electric voltage (Teissie 165 et al., 1999). Fiedler and Wirth (1988) obtained higher transformation efficiencies in presence of three successive pulses with two intermittent cooling steps as compared to the control (without maintaining the temperature). Furthermore, Teissie et al. (1999) also demonstrated that the cytoplasmic concentration after pulsation is reduced because of draining out of intracellular compounds from the cells. If this is the case, cells must face hyperosmotic stress even after resealing of electropores, and consequently the viability of cells is hampered due to the difference in turgor pressure. On the other hand, membrane permeabilization also results in an entrance of water into cells, and consequently increases cells volume that leads to the rupture of membrane (Golzio et al., 1998). While investigating the effect of culture age/growth stage of cells that are used for electroporation on the viability of M. glutamicus, the results showed that the relative cell viabilities in mid-exponentially growing culture were significantly higher (5 to 20%, depending on the electric field strengths and number of pulses) than that in cells grown at the stationary phase. Although the deviation in cell viabilities between two different growth stages of pulsed samples was not so prominent in presence of a single pulse, the results demonstrated approximately 1.1 to 1.5-fold higher cell viabilities (due to 5 pulses) in mid-exponentially growing cells as compared to the cells grown at the stationary phase (Figure 5.4). Similar to this study, the electroporation of Corynebacteria growing at the mid-exponential phase were resistant to killing by electric pulses and yielded the highest level of transformants (107 transformants per µg DNA), whereas the number of transformants was observed to be reduced in the case of cells grown at the stationary phase (Bonamy et al., 1990). As with Corynebacteria cells, Miller et al. (1988) obtained approximately 2 to 5-fold higher TE of C. jejuni when the mid-exponentially growing cells were electroporated as compared to the cells growing at the early and late stationary phases. However, this study confirmed that cells growing at the stationary phase are sensitive to killing by electric pulses, and the intensity of electric field and energy required for the membrane permeabilization of cells depend on the growth stage of cells. However, this statement does not indicate that cells growing in exponential phase will be suitable for pulsed electric field treatment while increasing the secretion of an intracellular product during microbial fermentation is enhanced by transient membrane 166 permeabilization. In general, the production of metabolites during fermentation is observed at the end of exponential or the start of stationary growth phase of microorganism. If the cells growing at the production or stationary phases are treated by the high intensity electric pulses, a major percentage of cells might be killed, cells are not able to complete the rest period of fermentation and eventually result in decreasing the overall yield of product. Previous investigation already confirmed that the conductivity of medium in which cells are suspended has a major influence on the electroexcretion of proteins or enzymes from a particular host (chapter 4). Since the continuous enhancement of any intracellular product secretion by electropermeabilization during microbial fermentation is limited by cell viability (Rols et al., 1992), the effect of medium conductivity on the viability of M. glutamicus was examined in this study. The results showed that cells suspended in distilled H2O and buffers (1mM Tris plus 270mM sucrose and 50mM Tris HCl) are more easily killed than cells suspended in Seed Medium; and the highest percentage of cells reduction was observed in the case of cells suspended in distilled H2O although the electrical parameters (field strengths and number of pulses) were kept constant throughout the study. Furthermore, the effect of multiple pulses on the viability of M. glutamicus was severe in the case of cells suspended in distilled H2O and electroporation buffers as compared to the Seed Medium. After pulsing the cell suspensions at 12.5kV cm-1 with 5 pulses, the percentages of viable cells suspended in electroporation buffers and distilled water reduced to less than 7%, whereas cell mortality measured in cells suspended in Seed Medium was only 36% (Figure 5.3). The phenomenon observed in this study could be explained on the basis of electrical conductivity of media/buffers in which M. glutamicus cells were suspended. It is obvious that the medium conductivities of distilled H2O, 1mM Tris plus 270mM sucrose and 50mM Tris HCl are lower than that of Seed Medium, and H2O has the least conductivity among the all media used in this study. It has been demonstrated that electroporation media with high conductivities reduced the electric voltage and pulse duration (McIntyre and Harlander, 1989b). If this is the case, M. glutamicus cells might 167 not be imposed by the actual electric field strength applied in this study, and eventually lower cell mortality was observed. On the other hand, medium with low conductivity permits more pulses to be applied, results in higher membrane permeabilization, and eventually more inactivation (Sixou et al., 1991). Djuzenova et al. (1996) also observed that decreasing the extracellular medium conductivity resulted in lower viability of murine myeloma cells. Furthermore, the rate of resealing of electropores is significantly enhanced in high ionic strength medium resulting in high cell viability (Tekle et al., 1994). Apart from the consequences of electric pulses, an additional effect on the reduction of cell viability might have occurred due to the hypoosmotic stress (Csonka, 1989) caused by suspending cells in H2O and electroporation buffers. However, the results obtained in this study confirmed that the composition of buffers used during electroporation has an important influence on the viability of cells as well as on the yield of product that will be excreted through the membrane permeabilization. In Table 2.6, it is clearly showed that the number of electrotransformants is dependent on the type of strains. The results obtained from this study confirmed that the cell wall of M. glutamicus is more rigid to electric pulses than that of E. coli. Even after imposing of 5 pulses at 12.5kV cm-1, approximately two-third (64%) of M. glutamicus cells maintained their viability, whereas it was only 2% in the case of E. coli. This finding can be explained in regards to the membrane structures of two different strains used in this investigation. C. glutamicum (in this study, M. glutamicus), a Gram-positive bacterium, has a cell wall of approximately 32nm that is composed of thick mesodiaminopimelic acid containing peptidoglycans and arabinogalactan (Marienfeld et al., 1997). The inner cell membrane of C. glutamicum is composed of a lipid bilayer and the outer membrane is arranged with long hydroxylated fatty acid chains called mycolic acids (Puech et al., 2000). On the other hand, E. coli, a Gram-negative bacterium, has a thin (generally 2-3nm thick) inner wall composed of peptidoglycan. Moreover, E. coli contains an outer membrane with a lipid bilayer of 7nm thick composed of phospholipids, lipoproteins, lipopolysaccharides and proteins (Madigan and Martinko, 2005). Weaver and Chizmadzhev (1996) demonstrated that the mechanical stability of cell membrane has an influence on the viability of cells as well as the efficiency of electroporation since 168 the reversible behaviour of membrane is dependant on its configuration. Hattermann and Stacey (1990) also showed that the survival rate of cells due to electric pulses is dependent on the type of cells while conducting electrotransformation of various cells. Therefore, it is necessary to gain information regarding the structure or composition of cell membrane of microorganism in which foreign gene or molecules will be transferred or from which intracellular enzymes or protein are extracted by electropermeabilization. In this study, the relative cell viability after pulsation was measured by the agar plate assay although the determination of viable cells by this approach is not accurate. This study showed that this process takes long incubation times (48-72hr) to form countable colonies, and colonies were often observed to clump together and formed a chain like structure. In addition, this technique was very sensitive to cross contamination with airborne microorganisms. The measurement of cell viability by this method often underestimates the number of viable cells in a given population, and only expresses the cells that are actively multiplied or divided in selected culture conditions (Barer and Harwood, 1999). Hence, the reduction in cells number does not necessarily correlate with the cell mortality. However, a range of fluorescence techniques in combination with florescence microscopy or fluorometry or flow cytometry have been carried out in order to determine cell viability (Breeuwer and Abee, 2000; Nebe-von Caron et al., 1998; Shapiro, 1995). All of these methods involve the use of different dyes that are either excluded from or decolourised the viable cells, and thereby viable or non-viable cells are easily detected under the fluorescence microscope. DNA or nucleic acid probes, such as propidium iodide (PI) and ethidium bromide (EtBr) are used for the assessment of cell viability where these probes are excluded from the viable cells. It has been demonstrated that both the PI and EtBr are not capable of crossing intact membrane of living microorganisms, but are able to pass through the damaged cell membranes. Once PI enters inside the cells, it intercalates with DNA or RNA and forms a bright red fluorescent complex. When EtBr binds with DNA, the intensity of its colour increases approximately 20-fold, and it fluoresces with a red-orange colour in presence of ultraviolet light (Bank, 1987). In general, PI/EtBr-stained cells are 169 assumed to be non-viable. Although PI has been used for the measurement of cell viability, the major limitation of using this probe is its low extinction coefficient giving relatively low fluorescence. Therefore, new DNA probes have been used as an alternative that are highly fluorescent when bound to DNA. SYTOX Green, a nucleic acid stain, is completely excluded from live eukaryotic and prokaryotic cells. When this stain binds to the nucleic acids, the fluorescence emission is increased by more than 500-fold, and the dead cells fluoresce green (Roth et al., 1997). Recently LIVE/DEAD BacLight Bacterial Viability Kits, produced by Molecular Probes (USA) have been widely used to determine the viability of bacteria in a large population. The kit contains two fluorescent nucleic acid stains: the permeant SYTO 9 (green) and the non-permeant PI (red). When cells are incubated with these two stains, the intact cells are labelled green, whereas cells with damaged membranes are labelled red (Haugland, 1992). This kit has been used for various bacterial species, such as Pseudomonas aeruginosa, E. coli, S. aureus and Lactococcus lactis (Suller and Lloyd, 1999). Flow cytometry in conjunction with different fluorescent dyes has recently been established as a valuable tool to evaluate cell viability. It is more effective than agar plate or microscopy or fluorometry technique (Diaper et al., 1992). In the case of flow cytometry, samples are delivered at low flow rate and passed through a light beam that permits the rapid measurement of scattered light and fluorescence emission from the individual cells. This method is reliable since it determines the total cells number as well as the number of fluorescence-labeled cells simultaneously (Breeuwer and Abee, 2000). The use of fluorescent probes with flow cytometry also allows the simultaneous multiparametric analysis of physical and chemical characteristics of a single cell flowing through an optical or electronic detection apparatus (Davey and Kell, 1996). Flow cytometric analysis offers the assessment of cell viability at a rate up to 50,000 cells per second (Shapiro, 1995). A rapid flow cytometric method in conjunction with rhodamine 123 (below 0.5µM) has been developed in order to assess the viability of Micrococcus luteus, a Gram-positive bacterium (Davey et al., 1993). Jepras et al. (1995) also determined the viabilities of E. coli, Staphylococcus aureus and P. aeruginosa by flow 170 cytometry in combination with several fluorescent probes. Due to the limitation of time, however, it was not possible to determine cell viability by this approach. In this study, the effectiveness of BLM (5 to 50nM) for determining the electropermeabilized cells in a pulsed population was investigated. However, none of the attempts (i.e., increasing the concentration of BLM and number of pulses, the addition of BLM to M. glutamicus cells suspended in a low conductivity medium and the determination of electropermeabilized cells of E. coli by BLM addition) conducted in this study did not show any prominent cytotoxic effect of BLM in pulsed cells. The entry of BLM into the pulsed cells of M. glutamicus, even after treating with the high intensity electric pulses, might be limited because of the resistivity of C. glutamcium cell wall to antibiotics (Jarlier and Nikaido, 1994; Nikaido, 1994). However, the determination of electropermeabilized mammalian cells in a pulsed population has been successfully accomplished by the addition of 5nM BLM (Kotnik et al., 2000). Although BLM has been regarded as a non-permeant cytotoxic drug (Orlowski et al., 1988), this study showed that a tiny percentage of cells (5%) were killed by the addition of BLM in cell suspensions. This phenomenon might have occurred due to the inaccuracy of agar plate measurement since the viability of CHO cells was not shown to be affected without imposing of electric pulses even after 18h of incubation in a culture medium contained 7000nM BLM (Akiyama et al., 1979). However, this study revealed that the evaluation of electropermeabilized cells of M. glutamicus or E. coli in a pulsed population by means of BLM is not such an efficient method as fluorescent nonpermeant dye measurement. It is now obvious from this study that permeabilization is not similar to the poration or induction of structural defects on the cell membrane due to electric pulses. Electropermeabilization should be selective to a specific target membrane without affecting the rest of the cell severely. Electroporated membranes may be permeabilized for a protein or enzyme but may represent as an efficient barrier for others. Although this study demonstrated that increasing the electric field strengths and number of pulses enhanced the secretion of protein or enzymes (MDH and GDH) of both M. glutamicus and E. coli by suspending the respective cells in low conductivity medium (distilled 171 H2O), this approach for increasing the yield of L-glutamate is complicated whilst the fermentation is carried on (Chapter 4). In the case of product or enzyme (for example, heterologous protein production in E. coli) that is not usually excreted into the extracellular medium during fermentation, it is obvious that the resealing of permeabilized membranes or maintaining cell viability after electropulsation is not essential. However, a high degree of membrane reversibility or a long-term viability of pulse-treated cells is mandatory while the continuous release of a product during fermentation (for instance, the increase of L-glutamate yield) will be accomplished by electropermeabilization. If the electric pulses kill a major percentage of cells, the rest of viable cells will not be sufficient to complete the fermentation, and eventually result in reducing the product yield and make the process expensive. Furthermore, the application of electric fields often causes the electroconformational change of proteins (Chen and Lee, 1994), which is a potential drawback in considering this approach for bioprocessing i.e., effective secretion or separation of intracellular proteins or enzyme. Hence, further studies are still needed in order to confirm the applicability of electroinduced extraction of amino acids at an industrial level. In conclusion, the results obtained from this research brought direct experimental evidences that electroporation is a stress for biological cells. It is now apparent that electropermeabilization of membrane depends on the electric factors (field strength, pulse number and duration), physiochemical factors (medium conductivity and ionic concentration of buffers), the properties of membrane (cell wall composition, structural homogeneity) and the permeant molecule itself (polarity and size). It is, therefore, necessary to optimize all the factors in order to maintain cell viability as high as possible whether it will be designed for either gene transformation or the secretion of intracellular products or introducing foreign molecules into the cell. If the application of intense electric field affects cell viability, the efficiency of transformation or intracellular product secretion, where biological systems with the continuous production of metabolites and their subsequent extraction will be carried by the electric pulses, is reduced. It is expected that the important facts observed in this study will assist in optimizing, developing and validating the electropermeabilization protocols, and hence intensify the bioprocessing. 172 Chapter SIX 6. Osmoregulation of M. glutamicus: Effect of Hyperosmotic Stress on Its Growth, Viability, Lglutamate Production and Cytoplasmic Enzymes or Protein Level 6.1. Introduction Although the cytoplasmic membrane of a microorganism is permeable to water, it forms an effective barrier for solutes suspended in extracellular medium or metabolites present in the cytoplasm. In general, the total concentration of osmotically active solutes within cells is generally higher than that in extracellular environment, and therefore the flow of water into cells is often observed due to its chemical potential (Csonka, 1989; Csonka and Hanson, 1991). Since the permeability of water through the cytoplasmic membrane is high, imposed imbalances between the turgor pressure exerted by cell membrane and the osmolality gradient across the bacterial cell wall are short in duration, and thus the cell division and growth of a microorganism are occurred (Koch, 1983). The osmotic strength of an environment is one of the most important physical parameters that determine the ability of organisms to grow in a given condition. However, cells are often observed to face osmotic stresses that are defined as an increase or decrease in osmotic strength or osmolality of the cultural medium in which an organism is usually grown. Osmolality describes the osmotic pressure of a solution in osmoles (Osm) of osmolytes per kg of solvent, whereas osmolarity is a measure of Osm of osmolytes per litre of solution. When fermentation is started with high concentration of nutrients, cells often experience with the hyperosmotic stress. Moreover, the medium osmolarity is often increased due to the efflux of amino or organic acids from cells (Guillouet and Engasser, 173 1995b). Hyperosmotic shock causes considerable shrinkage of cytoplasmic volume, may result in cell mortality (Csonka, 1989), and eventually reduces the yield and productivity of a bioprocess. On the other hand, a hypoosmotic stress is observed when the intracellular products and by-products are accumulated within cells during fermentation. Since the bacterial cell walls are rigid and can withstand pressures up to 100 atm (Carpita, 1985), hypoosmotic shock generally results in minor increase of cells volume. Figure 6.1 shows a schematic overview of the effects of osmotic stresses on water flux and turgor pressure. In general, microorganisms have to cope with both conditions due to the fluctuation in medium osmolarity during bioprocess, and are forced to develop efficient adaptation mechanisms (Galinski, 1995). The active process by which microorganisms survive with the osmotic stresses is defined as osmoregulation (i.e., accumulation or efflux of compatible solutes) that is dependent on the type of osmotic stresses faced by cells (Morbach and Kramer, 2003). It has been demonstrated that bacterial compatible solutes (Figure 6.2), cytoplasmic low-molecular-mass solutes, are accumulated either by de novo biosynthesis (endogenous osmolytes, such as glutamate, proline, ectoine, trehalose and sucrose) or by taking up (exogenous osmolytes, such as glycine betaine) from the environment during osmoregulation (Csonka and Hanson, 1991; Poolman and Glaasker, 1998). These solutes cause rehydration of cytoplasm by increasing the internal osmolarity, stabilize and protect enzymes, and support cells to grow at their normal rate (Record et al., 1998). In the case of hyperosmotic condition, an increase in external osmolarity or a decrease in external water activity causes a rapid efflux of water that leads to the dehydration of cells. Simultaneously, a reduction in cytoplasmic volume and the increase in the concentrations of intracellular metabolites are occurred due to this perturbation, and thus the growth of cells is diminished (Csonka, 1989). Three overlapping phases are usually observed when bacterial cells are stressed by hyperosmotic conditions: 1) dehydration of cytoplasm due to water efflux, 2) rehydration of cytoplasm by accumulating ions or compatible solutes, and 3) cellular remodelling that results in exchange of ionic osmolytes against compatible solutes, and leads cells to grow again (Wood, 1999). However, the extent of cell volume reduction due to hyperosmotic stress 174 Hyperosmotic stress Normal condition Hypoosmotic stress Figure 6.1 The effects of osmotic stresses on water flux and the turgor pressure (Morbach and Kramer, 2002). Figure 6.2 List of compatibles solutes involved in osmoregulation (Eggeling and Bott, 2005). 175 is dependent on the osmolality of media and the type of species. The volume reduction of C. glutamicum cells measured at 1.5 and 3.3Osm kg-1 was 30% and 65% higher, respectively, than the reduction observed while cells were cultivated at 0.4Osm kg-1 (Guillouet and Engasser, 1996). In the case of Bacillus subtilis, an increase in osmotic upshift to 0.8Osm kg-1 resulted in decrease of 30% cells volume (Whatmore et al., 1990), whereas the volume of cells (Halomonas elongata) decreased only 20% due to an osmotic upshift to 2.2Osm kg-1 (Miguelez and Gilmour, 1994). Under hyperosmotic stress, however, compatible solutes cause rehydration of cytoplasm by increasing the internal osmolarity, and can be accumulated (up to molar concentrations) in cytoplasm without disturbing the cellular functions (Record et al., 1998). Furthermore, compatible solutes stabilize and protect enzymes mainly by being excluded from the protein surface, thus leading to the preferential hydration of protein (Arakawa and Timasheff, 1985). To overcome this hyperosmotic stress, bacteria rapidly accumulate K+ ions into cells via specific transporters, and synthesize glutamate (the counterion of K+) (Booth and Higgins, 1990). At high osmolarity, however, K+-glutamate is not sufficient to ensure the growth of cells, and therefore bacteria replace the accumulated K+ ions with the compatible solutes (Lucht and Bremer, 1994). Figure 6.3 represents a schematic diagram of the mechanism of compatible solutes involved during osmoregulation. The mechanism of osmoregulation due to the hyperosmotic stress has been investigated in both Gram-negative bacteria, such as E. coli (Grothe et al., 1986), Salmonella typhimurium (Cairney et al., 1985) and Gram-positive bacteria, for instance C. glutamicum (Farwick et al., 1995) and B. subtilis (Whatmore and Reed, 1990; Whatmore et al., 1990). In C. glutamicum, a rapid but transient influx of Na+ during the first 30min of osmotic upshocks and a strong accumulation of proline (increased from 5 to 110mg g Dw-1, at the end of the growth phase) were observed due to increase of medium osmolality, from 0.4 to 2Osm kg-1 (Guillouet and Engasser, 1995a). Peter et al. (1998) investigated the mechanisms involved during osmoadaptation of C. glutamicum revealing that this organism is equipped with four uptake systems for compatible solutes (Figure 6.4). Among them, three systems are osmoregulated. BetP, 176 Figure 6.3 A schematic diagram of the influx and efflux of compatible solutes during osmoregulation (Morbach and Kramer, 2002). Figure 6.4 Systems involved during the adaptation of Corynebacteria to osmotic stresses (Morbach and Kramer, 2003). 177 specific for glycine betaine, is the highest affinity system; ProP, a medium affinity system that is involved for taking up proline and ectoine; and EctP, a low affinity system that could be activated for all the three compounds (Peter et al., 1998). Farwick et al. (1995) demonstrated that glycine betaine is accumulated by a secondary transport system (BetP) coupled to the transport of two Na+ ions, which was observed to be induced up to 8-fold at hyperosmotic stress. However, the above-mentioned three systems are effectively regulated at the level of activity, and the former two are controlled at the level of gene expression (Peter et al., 1998). The expression of betP gene was observed to be dependent on the medium osmolality, and the maximum rate of betaine uptake in cells grown in media with low osmolality was 20-fold higher than that of high osmolality (Peter et al., 1996). An additional proline uptake system (PutP) has been found in C. glutamicum, however, it is used for anabolic purposes, and its physiological function is not related to osmoprotection (Peter et al., 1997). However, all of these studies revealed that bacteria are able to uptake or synthesize compatible solutes (glycine betaine, proline, trehalose, glutamate and glutamine) during growth in high osmolality media. The former two solutes are accumulated in higher intracellular concentration as compared to the others, and play an important osmoprotective function in bacteria (Peter et al., 1998). Nevertheless, it is evident that the synthesis of these compatible solutes through the activation of their respective pathways is dependent on the type of bacterial species and the composition of medium in which a microorganism is grown. Frings and his coworkers (1993) demonstrated that ectoines (for example, tetratrahydropyrimidines) are the main compatible solutes in the genus Brevibacterium, whereas the accumulation or synthesis of glycine betaine is mainly occurred during the osmoadaptation of Corynebacterium. In addition, the intracellular proline concentration was observed to increase (up to 100µmol g Dw-1) in C. ammoniagenes grown on media containing 1-5% NaCl (Tomita et al., 1992), whereas the proline pool of C. ammoniagenes grown on glucose-yeast-salt medium (8% NaCl) was not shown to exceed 50µmol g Dw-1 (Frings et al., 1993). Whatmore et al. (1990) reported that a sudden osmotic upshock with 0.4M NaCl triggered potassium uptake, raising the potassium pool from 350nM to 650nM. 178 In the case of hypoosmotic condition, on the other hand, an increase in external water activity or a sudden decrease in external solute concentration causes massive influx of water into cells, increases the turgor pressure and membrane tension, and eventually disrupts the plasma membrane (Csonka, 1989). Wood (1999) mentioned that the responses due to osmotic downshifts occur in three phases: 1) water uptake 2) extrusion of water and cosolvents and 3) cytoplasmic cosolvent reaccumulation and cellular remodelling. To survive in this dangerous situation, bacteria release compatible solutes in extracellular medium through the emergency release valves, so-called mechanosensitive (MS) channels, and consequently the flow of water into cells is reduced by lowering the internal osmolarity (Figure 6.4). The hypoosmotic induced efflux of compatible solutes has been investigated both in Gram-negative (Koo et al., 1991; Lamark et al., 1992) and Gram-positive bacteria (Glaasker et al., 1996; Ruffert et al., 1997). In all cases, the effluxes of glycine betaine, proline and choline are dependent on the osmotic conditions. In C. glutarnicum, the release of glycine betaine and proline were observed to occur through the osmoregulated channel (similar to the MS channels of E. coli) with an efflux rate of 6000µmol min-1 g dm-1 or higher. However, the release of glutamate or lysine was restricted, and ATP was completely retained in cells even after severe hypoosmotic stress. The efflux of compatible solutes through the osmoregulated channel is tightly regulated at the level of activity, but is independent on the growth conditions (Ruffert et al., 1997). Although the efflux of compatible solutes occurred due to the action of MS channels, it can also be mediated by carriers. In Lactobacillus plantarurn, a rapid efflux is most probably mediated by channel activity followed by a slow process, carrier mechanism (Glaasker et al., 1996). During the industrial fermentation of C. glutamicum, a large amount of carbon and nitrogen source is required in order to produce bulk quantity of L-amino acids (Ikeda, 2002). Since the osmotic pressure of industrial media is generally higher than that of media used in laboratory experiments, the growth of this bacterium is often stressed leading to the reduction of yield and productivity of amino acids (Kawahara et al., 1989). It has been demonstrated that increase of medium osmolality from 0.4 to 2Osm kg-1 during the batch cultivation of C. glutamicum resulted in a decrease of specific growth 179 rate, from 0.7 to 0.2h-1, and biomass yield, from 0.6 to 0.3g g-1 (Guillouet and Engasser, 1995a). While conducting a glucose-limited continuous cultivation of C. glutamicum for the production of L-glutamate, Guillouet and Engasser (1995b) observed a decrease of biomass production, from 7.5 to 5.5g Dw l-1, due to increase of medium osmolality, from 0.4 to 2Osm kg-1. Even though the mechanisms involved during osmoregulation i.e., accumulation or efflux of compatible solutes (Guillouet and Engasser, 1995a; Kawahara et al., 1989; Peter et al., 1998) and the effects of hyperosmotic stress on the growth and viability of C. glutamicum (Guillouet and Engasser, 1995b; Skjerdal et al., 1995) have been investigated, the consequence of this stress on the production of amino acids is not intensively examined. So far, only a few studies have been conducted in order to investigate the effects of osmolality on amino acids production in C. glutamicum and its related strains (Delaunay et al., 1999b; Gourdon et al., 2003; Kawahara et al., 1990; Ronsch et al., 2003). Delaunay et al. (1999b) demonstrated that C. glutamicum produced 100g l-1 Lglutamate with a resulting osmotic potential of approximately 2Osm kg−1 decreasing the productivity of this amino acid throughout the fermentation due to its accumulation. Furthermore, the metabolism of C. glutamicum is subjected to strong and rapid changes by the alteration of its surrounding osmolality although this soil bacterium is equipped with powerful mechanisms to adapt to the hyperosmotic and hypoosmotic conditions (Morbach and Kramer, 2003). Therefore, intensive researches are still required in order to understand the osmotic stresses associated during the industrial production of amino acids by C. glutamicum (in this study, M. glutamicus). The objective of this study is to investigate the effects of hyperosmotic condition on cell viability, L-glutamate production, cytoplasmic enzymes (i.e., malate dehydrogenase and glutamate dehydrogenase), and total protein concentration of M. glutamicus. In addition, the consequence of externally added compatible solutes (i.e., glycine betaine and proline) on the growth of osmotically stressed cells will be examined. 180 6.2. Material and Methods 6.2.1. Chemicals Peptone from pancreatically digested casein and meat extract were obtained from VWR (Merck, UK). Yeast extract and bacteriological agar were procured from Oxoid, UK; and D-glucose, urea, NaCl and all other chemicals were purchased from Fisher, UK unless otherwise mentioned. Glycine betaine (N, N-Dimethylglycine) and L-proline were ordered from Sigma-Aldrich, UK. 6.2.2. Organism and cultivation M. glutamicus DSM 20300 (Collins et al., 1977; Suzuki et al., 1981; Yamada and Komagata, 1970; Yamada et al., 1976) supplied by the German Collection of Microorganisms and Cell Culture (DSMZ-Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH) was cultivated in Medium 53 (10g l-1 peptone, 5g l-1 yeast extract, 5g l-1 glucose, 5g l-1 NaCl, 1000ml distilled water, pH adjusted to 7.2-7.4) according to the supplier’s instructions. The stock agar plates were prepared according to the method described previously in Section 3.2.2. This bacterium was grown on Seed Medium, and the composition and preparation of medium was described previously in Section 3.2.2. M. glutamicus was cultivated at 30C and 220rpm, and all the experiments were performed in 250ml shake flasks containing 50ml of culture medium. 6.2.3. Microbial growth measurement The growth of M. glutamicus cells was periodically determined by measuring the absorbance at 600nm (600) using spectrophotometer (S1200, WPA). Samples were diluted (if concentrated) to keep the absorbance within the range of 0.1-0.3, and thereafter multiplied with the dilution factor in order to obtain the actual optical density (OD). The steps for dry weight measurement were described previously in Section 3.2.3. 6.2.4. Calculation of maximum specific growth rate (µmax) The maximum growth rate (µmax) of M. glutamicus under different growth conditions was determined according to the method described in Section 3.2.4. In this 181 study, µmax was calculated by taking the slope of a plot of cell density (OD), corresponding to the exponential growth phase versus time. 6.2.5. Hyperosmotic shock to the cell suspension of M. glutamicus Growing culture of M. glutamicus was transferred into the Seed Medium (50ml in 250ml flask) in such a way that the starting OD of culture medium was 1. Cells were hyperosmotically shocked by the addition of NaCl where the concentrations of salt in medium reached 0.5M, 1.0M and 1.5M. Three parallel shake flasks at each osmotic strength were cultivated throughout the study, and the number of samples analyzed on each occasion was two. In order to investigate the effect of hyperosmotic stress on the different stages of growth cycle, NaCl was added both at the start and exponential phase of cultivation. A control experiment was carried out simultaneously in which no salt was added into the Seed Medium. The effect of NaCl addition on the growth of M. glutamicus was determined by measuring the ODs at different growth points of cultivation. In the case of biotin limited CGXII Minimal Medium, however, NaCl was added only at the start of fermentation in order to investigate the effect of this stress on L-glutamate production. 6.2.6. Viability assay The viability of osmotically stressed M. glutamicus cells was determined by the traditional agar plate (LB) assay. The composition and preparation of plates were mentioned in Section 5.2.4. The osmotically stressed cells were collected, serially diluted and 100µl samples were spread on agar plates aseptically. Plates were then kept in an incubator at 30C, and colonies were counted after 24-72h of incubation. Since the viability assay by the agar plate is not precise enough, all the experiments conducted in this study were carried out at least two times, and the number of hyperosmotically stressed samples spread on agar plates was three. The viability of cells was calculated by normalizing the control (without NaCl addition) to have 100% viability. The ratio of viable colonies in hyperosmotic stressed samples to that of control was then used to determine the relative cell viability at a given osmotic strength. 182 6.2.7. Osmoregulation by the addition of compatible solutes In order to investigate the effect of compatible solutes on the growth of this industrially important bacterium, a range of concentrations (10 to 100mM) of both glycine betaine and proline were added to the hyperosmotically stressed M. glutamicus grown on Seed Medium. A control experiment was carried out at the same time where none of those solutes were added to the hyperosmotically stressed culture of M. glutamicus. 6.2.8. L-Glutamate production in M. glutamicus under biotin limited condition L-glutamate was produced in M. glutamicus by cultivating cells in biotin limited CGXII Minimal Medium (Keilhauer et al., 1993). The preparation of this medium was described earlier in Section 3.2.5. 6.2.9. Quantification of glucose, L-glutamate and other amino acids The quantification of substrate (glucose), L-glutamate and all the other amino acids were achieved with the use of AAA-Direct TM Amino Acid Analysis System (Dionex, UK). The preparation of eluents and standard were described previously in Section 3.2.8. 6.2.10. Determination of total protein, GDH and MDH The concentrations of total protein, glutamate dehydrogenase (GDH) and malate dehydrogenase (MDH) were determined according to the methods described in Section 4.2.7. 183 6.3. Results 6.3.1. Effects of hyperosmotic stress on M. glutamicus growth and viability In order to investigate the effect of hyperosmotic stress on M. glutamicus growth, this bacterium was grown on Seed Medium having a range of NaCl concentrations (0.5 to 1.5M) added at the start of cultivation. The results demonstrated that the growth of cells was inhibited due to the addition of salt in Seed Medium, and the amounts of biomass produced in an osmotically stressed cultivation are lower than that of control (without NaCl). The biomasses (OD600) measured after 24h of cultivation were 42.80, 35.0, 28.80 and 18.10 in the case of control, medium containing of 0.5M, 1.0M and 1.5M NaCl, respectively (Figure 6.5). The results indicated that the degree of biomass reduction is dependent on the osmotic strength of medium in which cells are grown. In addition, the effect of NaCl on the specific growth rate (µ) of M. glutamicus cells was investigated i.e., 0.30h-1, 0.23h-1, 0.19-1 and 0.19h-1 in the case of control, medium containing of 0.5M, 1.0M and 1.5M NaCl, respectively. These results confirmed that the growth rate of microorganism is decreased with the increase of medium osmolarity. 50 OD at 600nm 40 30 20 10 0 0 5 10 15 20 25 Time after inoculation, hr No NaCl 0.5M NaCl 1.0M NaCl 1.5M NaCl Figure 6.5 The growth of M. glutamicus in the presence of different concentrations of NaCl, added at the beginning of cultivation. 184 30 50 OD at 600nm 40 30 NaCl addition 20 10 0 0 5 10 15 20 25 Time after inoculation, hr No NaCl 0.5M NaCl 1.0M NaCl 1.5M NaCl Figure 6.6 The growth of M. glutamicus in the presence of different concentrations of NaCl, added at the exponential phase (7h) of cultivation. In the case of the experiment mentioned above (Figure 6.5), NaCl was added at the start of cultivation. Since the number of cells (inoculum) at the beginning of cultivation is usually less, it is obvious that the number of hyperosmotically stressed viable cells after the initial osmotic upshock will be apparently low. Because of this, a prolonged lag phase and decreased biomass production at the end of cultivation were observed. Therefore, the effect of NaCl addition to the exponentially growing (7h) cultures of M. glutamicus cultivated in Seed Medium was investigated. The biomass (OD600) measured after 24h of cultivation were 42.80, 36.75, 31.60 and 26.10 in the case of control, medium containing of 0.5M, 1.0M and 1.5M NaCl, respectively (Figure 6.6). These results demonstrated that hyperosmotic stress results in decrease of cell’s growth and biomass production, irrespective of the growth stages of cell at which NaCl is added. It has already been investigated that microbial cells often could not maintain their viability due to this sudden osmotic up and down-shock (Csonka, 1989; Wood, 1999). During industrial fermentation, if a certain percentage of cells are killed due to the 185 30 osmotic stresses, the yield and productivity of a bioprocess are affected enormously. Hence, the effect of hyperosmotic condition on the viability of M. glutamicus was investigated. Both the osmotically stressed (by adding NaCl at the start and exponential growth phase of cultivation), and control cells grown on Seed Medium were collected after 2 and 4h of salt addition, serially diluted with sterile H2O and spread on agar plates. The results demonstrated that addition of NaCl in growth medium increased the mortality of cells, and the degree of cell mortality is dependent on the osmotic strength of medium (Figure 6.7 and 6.8). However, the extent of cell viability reduction in cultures in which salt was added at the start of cultivation is considerably higher than that observed in cultures where cells grown at the exponential growth phase were hyperosmotically stressed. In the case of the former experiment (Figure 6.7), the percentages of killed cells reached 79 and 81 (%) after 2 and 4h of cultivation, respectively, whereas it was 55 and 57 (%) for the latter case (Figure 6.8) although NaCl concentration in both conditions was kept constant to 5M. 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 0.5M 1.0M 1.5M 2.5M 5.0M Concentration of NaCl 2hr 4hr Figure 6.7 The reduction in cell viability in the presence of different strengths of hyperosmotic stress (addition of NaCl at the start of cultivation). 186 120% Relative cell viability (%) 100% 80% 60% 40% 20% 0% Control 0.5M 1.0M 1.5M 2.5M 5.0M Concentration of NaCl 2hr 4hr Figure 6.8 The reduction in cell viability in the presence of different strengths of hyperosmotic stress (addition of NaCl at the exponential phase, after 7h of inoculation). 6.3.2. Effects of glycine betaine and proline addition on the growth of hyperosmotically stressed M. glutamicus In order to investigate the effect of compatible solutes (for instance, glycine betaine and proline) on the growth of hyperosmotically stressed M. glutamicus, a range of glycine betaine concentrations (10 to 100mM) was added (at the start of cultivation) into the Seed Medium containing 0.5M NaCl. However, there was no significant effect observed on the growth of M. glutamicus due to the addition of this compatible solute in culture medium. Moreover, the result showed that increase of glycine betaine concentration more than 30mM decreased biomass production at the end of cultivation (Figure 6.9). Ronsch et al. (2003) demonstrated that the addition of glycine betaine does not accelerate the growth of cells or change the time at which the maximum growth rate is reached under the condition of low or medium osmotic stress, although the cytoplasmic volume was observed to be higher in presence of glycine betaine. It was thus assumed that the effect of externally added glycine betaine to the growth of hyperosmotically stressed M. glutamicus might only be observed in the presence of osmotic strengths 187 40 OD at 600nm 30 20 10 0 0 5 10 15 20 25 30 Time after inoculation, hr Control 10mM 20mM 30mM 50mM 100mM Figure 6.9 Effect of a range of concentrations of glycine betaine (mM) on the growth of M. glutamicus grown on hyperosmotic condition (Seed Medium containing 0.5M NaCl). 50 OD at 600nm 40 30 20 10 0 0 5 10 15 20 25 30 Time after inoculation, hr Control Control + Betaine 0.5M 0.5M + Betaine 1.0M 1.0M + Betaine 1.5M 1.5M + Betaine Figure 6.10 Effect of glycine betaine (20mM, added at start of cultivation) on the growth of M. glutamicus grown on a range of hyperosmotic strengths (Seed Medium containing 0.5-1.5M NaCl, added at start of cultivation). 188 50 OD at 600nm 40 30 Addition of both NaCl and Glycine betaine 20 10 0 0 5 10 15 20 25 30 Time after inoculation, hr Control Control + Betaine 0.5M 0.5M + Betaine 1.0M 1.0M + Betaine 1.5M 1.5M + Betaine Figure 6.11 Effect of glycine betaine (20mM, exponential phase) on the growth of M. glutamicus grown on a range of hyperosmotic conditions (Seed Medium containing 0.5-1.5M NaCl, added to the exponential growth phase). 40 35 OD at 600nm 30 25 20 15 10 5 0 0 5 10 15 20 25 30 Time after inoculation, hr Control 10mM 20mM 30mM 50mM 100mM Figure 6.12 Effect of a range of concentrations of proline on the growth of M. glutamicus grown on hyperosmotic condition (Seed Medium containing 0.5M NaCl). 189 higher than 0.5M NaCl. Hence, 20mM glycine betaine was added both at the start and to the exponential growth phase of cells grown on Seed Medium having a range of NaCl concentrations (0.5 to 1.5M). However, the results showed that the inhibition of cells growth due to NaCl addition could not be minimized by this compatible solute, regardless the growth phases at which it was added into the Seed Medium (Figures 6.10 and 6.11). Like glycine betaine, proline with a range of concentrations (10 to 100mM) was added (at the start of cultivation) into Seed Medium containing 0.5M NaCl, however, no prominent effect on the growth of M. glutamicus was observed (Figure 6.12). 6.3.3. Effects of hyperosmotic stress on L glutamate production by M. glutamicus M. glutamicus was grown on biotin limited (1µg l-1) CGXII Minimal Medium with a range of osmotic strengths (0.5 to 1.5M NaCl, salt was added at the start of fermentation in order to investigate the effect of NaCl addition on cells growth, glucose consumption and L-glutamate production in M. glutamicus. Three parallel shake flasks at each osmotic strength were cultivated throughout the study, and the number of samples analyzed on each occasion was two. The results demonstrated that the growth of cells and glucose consumption decreased due to the addition of salt in CGXII Medium, and the degree of biomass reduction and substrate consumption is dependent on the osmotic strength of the medium (Figure 6.13). The amount of biomass (OD600) after 72h of cultivation measured in CGXII Medium containing 1.5M NaCl was approximately 50% lower than that of the control. In addition, the residual glucose concentration in glutamate production medium containing 1.5M NaCl was 13.05g l-1 (at the end of fermentation), whereas it was only 3.73g l-1 in the case of the control (Figure 6.13). As with cells growth and glucose consumption, it was observed that L- glutamate production was reduced noticeably by the addition of salt in biotin limited CGXII Minimal Medium. Figure 6.14 shows that the extent of L-glutamate production is dependent on the osmotic strength of the production medium. After 72h of fermentation, the amount of L-glutamate in control was measured as 52.95mM, whereas it was only 16.13mM in the case of medium with an osmotic strength of 1.5M NaCl (Figure 6.14). 190 35 45 40 30 20 25 15 20 15 10 10 5 5 0 0 0 10 20 30 40 50 60 70 80 Time after inoculation, hr OD, Control (1.0µg/l biotin) OD, 1.0µg/l biotin + 1.5M NaCl Glu, 1.0µg/l biotin + 1.0M NaCl OD, 1.0µg/l biotin + 0.5M NaCl OD, 1.0µg/l biotin + 1.0M NaCl Glu, Control (1.0µg/l biotin) Glu, 1.0µg/l biotin + 0.5M NaCl Glu, 1.0µg/l biotin + 1.5M NaCl Figure 6.13 Effect of hyperosmotic stress on the growth and glucose consumption of M. glutamicus grown on biotin limited (1µg l-1) CGXII Minimal Medium. 60 50 Glutamate, mM OD at 600nm 30 Glucose, g/l 35 25 40 30 20 10 0 0hr 24hr 48hr 72hr Time after inoculation, hr Control (1.0µg/l biotin) 1.0µg/l biotin + 0.5M NaCl 1.0µg/l biotin + 1.0M NaCl 1.0µg/l biotin + 1.5M NaCl Figure 6.14 Effect of hyperosmotic stress on the production of L-glutamate in M. glutamicus. 191 6.3.4. Effects of hyperosmotic stress on the activity of enzymes (MDH and GDH) and total protein of M. glutamicus In this study, the effect of hyperosmotic stress on the activity of total protein and enzymes (GDH and MDH) of M. glutamicus was examined. M. glutamicus was cultivated in Seed Medium with a range of NaCl concentrations (0.5 to 1.5M). The results showed that addition of NaCl into medium increased the amount of total protein, GDH and MDH of M. glutamicus (Figure 6.15 to 6.17). The total protein concentration (mg ml1 ) in control was 1.94, whereas it increased to 2.47, 2.47 and 2.95 in Seed Medium with osmotic strength of 0.5, 1.0 and 1.5M NaCl, respectively. The activity of GDH (U ml -1) in control was 0.34 while hyperosmotic stress increased it to 0.43, 0.43 and 0.45 in presence of 0.5, 1.0 and 1.5M NaCl, respectively. Similarly, the activity of MDH (U ml-1) in control was 12.22, whereas it increased to 17.30, 16.03 and 19.84 in Seed Medium with osmotic strength of 0.5, 1.0 and 1.5M NaCl, respectively. These results confirm that hyperosmotic stress also influences the activity of cytoplasmic enzymes and proteins. Total protein, mg/ml 4 3 2 1 0 Control 0.5M 1M 1.5M Figure 6.15 Effect of hyperosmotic stresses on total protein (TP) of M. glutamicus grown on Seed Medium. 192 0.6 GDH, U/ml 0.4 0.2 0 Control 0.5M 1M 1.5M Figure 6.16 Effect of hyperosmotic stresses on glutamate dehydrogenase (GDH) of M. glutamicus grown on Seed Medium. 30 MDH, U/ml 20 10 0 Control 0.5M 1M 1.5M Figure 6.17 Effect of hyperosmotic stresses on malate dehydrogenase (MDH) of M. glutamicus grown on Seed Medium. 193 6.4. Discussion In this study, M. glutamicus was cultivated in Seed Medium containing different concentrations of NaC1 in order to investigate the effect of this hyperosmotic stress on the growth and viability of cells, substrate consumption and L-glutamate production. The results obtained from this study clearly demonstrated that addition of NaCl in Seed Medium decreased the specific growth rate of M. glutamicus and reduced the biomass production, irrespective of the growth phases at which salt was added. However, the effect of this stress on cell’s growth was more severe in cultures that were hyperosmotically stressed from the beginning of cultivation than in cultures in which salt was added to the cells grown at the exponential phase. In presence of high medium osmolarity (medium containing 1.5M NaCl), the amount of biomass (OD600) measured after 24h of cultivation was 26.10 (in latter condition, Figure 6.6), whereas it was only 18.10 (in former condition, Figure 6.5). It is obvious that microbial fermentation is started with inoculum in which a low number of cells are usually inoculated. If cells are hyperosmotically stressed at the beginning of fermentation, a large percentage of cells must be killed within short period of NaCl addition affecting the growth properties severely. On the other hand, the application of similar strength of osmotic stress to the exponentially grown cells will not affect the growth of cells as like as the former treatment. The results also showed that the degree of cell growth inhibition is dependent on the osmotic strength of medium in which M. glutamicus was grown. During the first few hours (2-6h) of salt addition, the growth of cells was inhibited severely by the high osmolarity (medium containing 1.5M NaCl). On other hand, when the osmotic stress was not rigorous (medium containing 0.5M NaCl), cells were shown to regain their ability to grow exponentially even after an extended lag phase. Similar to this observation, Csonka (1989) mentioned that the cytoplasmic volume of cells stressed by low medium osmolarity is adjusted as a result of osmotic balances even after a slow growth period. Skjerdal et al. (1995) observed that the specific growth rates of these bacteria (B. lactofermentum and C. glutamicum) decreased in a linear fashion by the increase of medium osmolality. Moreover, the total volume of cells was observed to decrease 194 immediately upon exposure to 0.6M NaCl, and approximately 25-30% of cell volume was reduced within 2-15min after hyperosmotic stress. Ronsch et al. (2003) showed that the growth rate and cytoplasmic volume of C. glutamicum MH20-22B (a L-lysine producing strain) decreased linearly with increasing osmotic stress. This study demonstrated that the percentage of viable cell (M. glutamicus) reduction is increased with the increase of medium osmolality. In the case of the former condition (where NaCl was added at the start of cultivation), only 21 and 19 (%) cells were viable after 2 and 4h of cultivation, respectively, whereas it was 44 and 43 (%) in cultures where salt was added at the exponential growth phase although the concentration of NaCl in both conditions was 5M (Figure 6.7 and 6.8). This result confirmed that cells grown in the lag phase are more susceptible to hyperosmotic stress than cells grown in the exponential growth phase. This phenomenon might have observed due to the fact that hyperosmotic stress causes diffusion of water from cells, resulting in cell shrinkage, arrests growth of cells and eventually causes cell death indicating that medium osmolarity is one of the major operational parameters during industrial fermentation of microorganism. Similar to this study, Skjerdal et al. (1995) reported that increase or decrease of turgor pressure due to differences in solute concentration across the cytoplasmic membrane causes cell inactivation. Furthermore, the reduction in cell viability of Gram-negative bacteria due to osmotic stress is higher than that of Grampositive strains (Poolman and Glaasker, 1998). The reason behind this phenomenon might be the strong adhesion between the cytoplasmic membrane and peptidoglycan in Gram-positive bacteria. Although a range of concentrations (10 to 100mM) of glycine betaine and proline was added into the cells stressed by the addition of 0.5M to 1.5M NaCl in the Seed Medium, no prominent influence of compatible solutes on the growth of M. glutamicus, irrespective of the growth phases at which salt was added (Figure 6.9, 6.10, 6.11 and 6.12). In addition, a decreased amount of biomass was observed at the end of cultivation due to the addition of compatible solutes ( 50mM). However, the wild type of C. glutamicum (ATCC 13032) was shown to uptake glycine betaine and its precursor 195 dimethyl-glycine, ectoine and proline when these compatible solutes were added into the culture medium having an osmotic strength of 1.5M NaCl (Farwick et al., 1995). Their results also demonstrated that the accumulation and uptake rates of compatible solutes are dependent on the osmotic strengths of medium, and addition of these solutes enhances the growth rate of osmotically stressed C. glutamicum. Ronsch and his co-workers (2003) reported that the addition of betaine reduces the time required to reach the maximal cell growth at high osmolality, and results in increase of cell viability. Apart from the influences of compatible on C. glutamicum growth, the addition of 20mM glycine betaine to the fermentation medium with an osmotic pressure of 2.12Osm kg-1 increased the sugar consumption rate, from 8.8 to 14nmol min-1 mg Dw-1 and Llysine production rate, from 5.3 to 8.7 8.8 to 14nmol min-1 mg Dw-1 (Kawahara et al., 1990). In Corynebacteria, however, potassium glutamate was observed to be the main osmoregulator at low to moderate stress, while proline was accumulated at higher stresses (Kawahara et al., 1989). It has also been demonstrated that this bacterium is able to synthesize glutamine, proline and trehalose after an osmotic upshift even in the absence of externally added compatible solutes (Frings et al., 1993). Ronsch et al. (2003) observed an accumulation of proline (increased 8-fold) and betaine (reached up to 250nM) under severe osmotic stress (increase of osmolality from 1.0 to 2.5Osm kg-1). Guillouet and Engasser (1995b) also demonstrated a rapid increase of intracellular proline, from 5 to 125mg g Dw-1 and trehalose, from 20 to 60mg g Dw-1 due to increase of medium osmolality, from 0.4 to 2Osm kg-1. Nevertheless, it has been reported that this bacterium prefers the uptake compatible solutes rather than synthesis within cells because of lower energy cost (Morbach and Kramer, 2002). Hence, much research are still required in order to investigate the effect of externally added compatible solutes (mainly glycine betaine and proline) to the high osmolality fermentation medium in which amino acids (L-glutamate and L-lysine) are produced industrially. In the case of industrial bioprocesses, particularly in fed-batch cultivation, cells are often exposed to changes in osmolality due to the composition of medium and the accumulation of product (Delaunay et al., 1999b; Guillouet and Engasser, 1995b). 196 Moreover, the excreted product in extracellular medium increases the osmotic strength of the environment, modifies the biochemical activity of the substrate transport system, affects the sugar consumption capacity, and finally leads to slow down in the metabolic rates of cells (Gourdon et al., 2003). This study showed that addition of NaCl (at the start of fermentation) in CGXII medium markedly reduced the L-glutamate production by M. glutamicus. Also, the extent of L-glutamate production is dependent on the osmotic strengths of fermentation media since the amounts of L-glutamate measured after 72h of fermentation were 52.95mM, 32.66mM, 24.37mM and 16.13mM in the case of CGXII medium without NaCl (control), 0.5M, 1.0M and 1.5M NaCl, respectively. These results might have occurred due to the fact that hyperosmotic stress causes a decrease in specific growth rate of M. glutamicus resulting in an increase proportion of sugar catabolized for maintenance requirements, and eventually decreased the yield of L-glutamate. Nevertheless, this study confirmed that the osmotic pressure of industrial media is one of the limiting factors during amino acid fermentation. Similar to this study, Guillouet and Engasser (1995b) demonstrated that the medium osmolality represents one of the major operational parameters for an efficient production of glutamate by C. glutamicum. Gourdon et al. (2003) showed that medium osmolarity is directly related to the product accumulation during L-glutamate fermentation, and increasing the medium osmolarity inhibits the L-glutamate overproduction in C. glutamicum. However, this inhibitory effect is reversible since washed cells retained their ability to transport sugar while removing the osmotic stress. Furthermore, the specific rate of glutamate production was observed to decrease throughout the fermentation as a function of glutamate accumulation (Delaunay et al., 1999b). However, this severe effect of osmotic stress could be minimized by the addition of glycine betaine during amino acid fermentation. In the case of L-lysine production in C. glutamicum MH20-22B, addition of this compatible solute into fermentation medium having high osmolality reduced the time necessary to reach the stationary phase, resulted in synthesis of L-lysine at earlier fermentation times and increased both product concentration and yield (Ronsch et al., 2003). Nevertheless, the effect of compatible solutes on the production of L-glutamate was not investigated due to time limitation. 197 Furthermore, this study showed increased activities of total protein, GDH and MDH of M. glutamicus because of NaCl addition into Seed Medium. At an osmotic strength of 1.5M NaCl, the concentrations of total protein, GDH and MDH were approximately 1.7, 1.38 and 1.55-fold, respectively, higher than that of control. It is now obvious that hyperosmotic stress has also a major influence on the expression of proteins or enzymes, and these results indicated that cells may need to synthesis some proteins in order to cope with the hyperosmotic stress. Like this investigation, Clark and Parker (1984) showed an induction of a group of proteins (E. coli) because of increasing the osmolality in culture medium, whereas an osmotic downshift resulted in the repression of those proteins. Furthermore, increase of medium osmolality due to salt or sucrose addition resulted in changes in the protein content of periplasm (E. coli) and reduced the rate of -galactosidase synthesis (Barron et al., 1986). 2-DE protein analysis coupled to MALDI-TOF MS showed that the protein patterns of Enterobacter sakazakii grown on NaCl reflect more or less a general down-regulation of central metabolic pathways (Riedel and Lehne, 2007). Like bacteria, 2-D gel analysis of epithelial cells under osmotic stress showed a total number of 40 proteins in which 25 proteins were overexpressed, whereas 15 proteins showed a down-regulation (Dihazi et al., 2005). The previous study (Chapter 3) confirmed that the L-glutamate produced in M. glutamicus is starting to be excreted at the end of exponential or the start of stationary phase of fermentation. In addition, the rate of glutamic acid production was observed to decrease because of accumulating this amino acid in extracellular medium. This phenomenon is caused by the process constraints, observed at the late stage of Lglutamate fermentation, which are directly related to the product accumulation and the stresses due to an osmotic imbalance resulting in the decrease of sugar uptake rate, and eventually reduce the productivity of glutamic acid (Gourdon et al., 2003). However, this study demonstrated that the growth of M. glutamicus and the yield of L-glutamate are affected significantly because of increasing the medium osmolality by NaCl addition. It is expected that the outcome of this study will assist in developing a suitable production process of L-glutamate in which the osmotic stresses could be minimized. Nevertheless, the optimization of medium osmolality in conjunction with other physical parameters 198 associated with the fermentative cultivation of microorganism is crucial for the enhancement of intracellular proteins or enzymes production. Amino acid production by chemostat fermentation may be an alternative approach for avoiding the hyperosmotic stress caused by the medium composition or product accumulation during industrial fermentation (Kawahara et al., 1990). Furthermore, it would be beneficial to develop mutant strains with high resistance to osmotic stresses that are capable of maintaining high metabolic activity towards the synthesis of product while a high product titre is required (Gourdon et al., 2003). 199 Chapter SEVEN 7. Conclusions and Future Works The following points can be concluded from this research- 1. This study revealed that there are no remarkable dissimilarities in growth properties, substrate consumption and L-glutamate production among the three different strains of Corynebacteria i.e., B. lactofermentum, B. flavum and M. glutamicus (Figure 3.3a; 3.6). 2. This research concluded that the secretion of L-glutamate into the extracellular medium is not occurred without cultivating these bacteria in the presence of a limited amount of biotin or by the addition of surfactant (Tween 40) or ethambutol into the CGXII Minimal Medium. 3. This investigation confirmed that biotin concentration in fermentation medium has also a major influence on the yield of biomass as well as on the production of L-glutamate. The highest L-glutamate production (57mM after 52h of cultivation) was measured in the presence of 1.0µg l-1 biotin (Figure 3.5). 4. Although surfactants have been used for the industrial production of Lglutamate, this study confirmed that Tween 20 and 80 are not suitable for the production of this amino acid, whereas the addition of Tween 40 into the CGXII Minimal Medium resulted in L-glutamate secretion effectively. 5. The production of glutamic acid is significantly influenced by the concentration and the period of growth cycle at which Tween 40 was supplied. The addition of Tween 40 (2.0g l-1, after 8h of fermentation) into a biotin rich cultivation of M. glutamicus produced 45mM L-glutamate after 48h of fermentation (Figure 3.10), whereas it was only 22mM (Figure 3.9) due to the addition of similar concentration of Tween 40 at the start of cultivation. 200 6. This study confirmed that L-glutamate can also be produced by the addition of ethambutol into a biotin rich culture of M. glutamicus, and the production of glutamic acid increased by enhancing the concentration of EMB (up to 100mg l-1) in the CGXII Minimal Medium. The highest amount of L-glutamate, 49mM after 48h of fermentation, was measured at 100mg l-1 EMB (Figure 3.12). 7. This investigation clearly demonstrated that there is a significant difference among the different treatments applied for the production of L-glutamate. The amounts of L-glutamate measured after 48h fermentation of M. glutamicus under the condition of biotin limitation, surfactant addition and ethambutol addition were 56, 45 and 49mM, respectively (Figure 3.13), indicating that the most suitable method for L-glutamate production is to cultivate these bacteria in presence of limited amount of biotin. 8. Although electroporation has successfully been used for the transformation of Corynebacterial cells, this study revealed that the electroinduced secretion of L-glutamate produced in M. glutamicus and the release of intracellular products (MDH, GDH and total protein) from both the M. glutamicus and E. coli are limited by the conductivity of medium in which cells are suspended. 9. This examination showed that there was prominent influence of electric pulses on the enhancement of L-glutamate production (Figure 4.4-4.7) or the release of intracellular protein (Figure 4.8-4.10) or enzymes (GDH and MDH) until cells suspended in H2O were electroporated. The intracellular protein release increased approximately 14% while cell pellets (1g Dw) dissolved in a least conductivity medium (distilled H2O) were electroporated by 4 pulses at 12.5kV cm-1, 200 and 25µF (Figure 4.14). 10. This study demonstrated that the viability of cells decreased enormously due to the increase of electric voltage and pulse number. Although the greater number of pulses increases the yield of electroporation due to the formation of a large number of pores on the cell membrane, over-stimulation may lead to apoptosis. 201 11. This investigation concluded that cell viability could be preserved by providing resting time between pulses. The relative cell viability of M. glutamicus increased approximately 3-10% (depending on the field strengths and number of pulses) while giving 20min resting time between two pulses (Figure 5.3). 12. This examination also confirmed that the relative cell viability after electropulsation is strongly dependent on the physiological state of cells since higher cell mortality (around 5-20%) was observed in cells grown on late exponential or stationary phase than in cells grown on early to mid-exponential phase, regardless of the electric field strengths, pulse number and the length of intervals allowed between two consecutive pulses (Figure 5.4). 13. Althouh it is observed that a low medium conductivity is required for the electro-secretion or release of intracellular proteins and enzymes (chapter 4), this study revealed that the viability of M. glutamicus affected greatly while cells suspended in H2O or low conductivity buffers were pulsed since a lowconductivity medium allows more pulses to be applied, and results in high cell mortality (Figure 5.5). 14. This investigation demonstrated that the cell wall of M. glutamicus is not as flexible as that of E. coli to electric pulses although the electric field strength and the number of pulses were kept similar in both conditions. The relative cell viability of M. glutamicus after 5 repetitive pulses at 12.5kV cm-1, 200 and 25µF was about 13-fold higher than that of E. coli (Figure 5.6). Hence, careful optimization of electroporation factors is required in order to achieve the maximum efficiency of permeabilization with reduced cells mortality. 15. This examination clearly demonstrated that addition of NaCl in Seed Medium decreased the specific growth rate of M. glutamicus and reduced the biomass production, irrespective of the growth phases at which salt was added. Furthermore, the degree of cell growth inhibition is dependent on the osmotic strength of medium in which M. glutamicus was grown. 202 16. This research showed that addition of NaCl (at the start of fermentation) in CGXII medium markedly reduced the L-glutamate production by M. glutamicus confirming that the osmotic pressure of industrial media is one of the limiting factors during amino acid fermentation. 17. In summary, this study confirmed that the pulse electric field treatment can successfully be applied for the extraction of intracellular protein or enzymes that are not usually excreted to the extracellular medium. It is expected that high intensity electric pulses could provoke a considerable release of intracellular L-glutamate (that is not secreted by biotin limitation) if M. glutamicus cells suspended in a low conductivity medium are pulsed by an appropriate electric field strength. However, the release of intracellular product by electropermeabilization is found to be greatly dependent on the electrical parameters, the composition of pulsing buffers and the physiological state of cells. Although further works are needed to investigate intracellular product secretion by electropermeabilization, it is anticipated that this preliminary data may contribute significant indication for the enhancement of industrial bioprocesses through transient or irreversible electroporation. 18. It is almost half a century since the discovery that M. glutamicus is capable of excreting L-amino acids under certain growth conditions. Since then, numerous attempts by classical strain breeding involving repeated random mutation and selection have been conducted in order to meet the demand of these amino acids for human and livestock consumption. Rapid progress in biochemistry and genetics has increased our knowledge and understanding of carbon metabolism and metabolic regulation of this bacterium. Furthermore, the advancement in molecular biology tools in recent years enabled researchers to improve microbial strains by rational approaches i.e., investigation of their metabolic pathways, transport functions and regulatory mechanisms based on the knowledge of fundamental aspects of physiology, biochemistry, molecular biology and bioprocess engineering. In addition to genome sequencing, modern techniques, such as transcriptomics, proteomics, metabolomics and metabolic 203 flux analysis have recently been introduced in order to identify new and important target genes and to quantify metabolic activities. Combination of these techniques is expected not only to increase the yield and productivity but also to provide a mechanistic understanding of amino acids production by Corynebacteria. The following future works can be conducted- 1. In this study, L-glutamate was produced by shake flask cultivation of M. glutamicus that resulted in only 57mM of L-glutamate. Since the demand of this amino acid for human and livestock consumption is enormous and any production process needs to be developed for industry, it will be worthwhile to investigate the effect of those agents to glutamic acid production through the use of batch, continuous and fed-batch fermentation. 2. Due to the discovery of the genome sequence of C. glutamicum and the recent of improvements of metabolic engineering and functional genomics, industrial production of amino acids have already been started. Hence, the further work of this research will be the recognition of pathways responsible for amino acids production, rigid branch points that result in low excretion of amino acids, the identification of their respective genes from genome database and constructing the recombinants enhancing the yield of amino acids production. 3. It is well established the yield of any product (for instance, amino acid) is limited due to the effective recovery from the fermentation broth. Hence, it is necessary to develop chromatographic based separation procedures by which a particular amino acid will be separated from the fermentation broth. 4. In this work, the viability of pulsed cells was measured by the traditional agar plate method. However, a long incubation time (48-72hr) was required to form countable colonies, and it was too tough to get the reproducible results by this approach. Moreover, colonies were often observed to clump together and 204 formed a chain like structure, and this technique showed very sensitivity to cross contamination with airborne microorganisms. The determination of cell viability by flow cytometry in combination with several fluorescent probes will be an alternative approach for further research. 5. Although an attempt was taken for evaluating the cell membrane permeabilization by means of a nonpermeant cytotoxic agent (Bleomycin), the amount of information gather from this work was not sufficient to establish this technique for the determination of electropermeabilized cells of both E. coli and M. glutamicus. There was no strong reason why the bacterial cells exhibited resistance to this particular antibiotic or why the addition of BLM killed the non-permeabilized cells. Proteomic analysis may discover the responsible proteins conferring resistance to this cytotoxic agent and explain the reasons why the expression of these proteins inhibits the entry of BLM molecules into the electropermeabilized bacterial cells. 6. In this study, electric pulses were generated through the Bio-Rad Gene Pulser that generates an exponential decay pulse by discharging a capacitor loaded to a specific voltage. Since the control over pulse parameters is not absolute in a capacitor discharge instrument, it may be useful to investigate applying squarewave pulses (for example, BK Precision 3003 10MHz Sine/Square Wave Generator) where both the voltage and pulse duration can be precisely controlled. 7. Although the continuous production of any intracellular protein or enzymes and its subsequent secretion (during fermentation) through the electropermeabiliztion is limited by the conductivity of fermentation medium, the release of total protein (intracellular) increased considerably while M. glutamicus cells suspended in a least conductivity medium (H2O) were pulsed by electric pulses, confirming the applicability of this approach in intensified bioprocessing. Hence, the future work might be the construction of recombinant strain of Corynebacteria, which produce a particular heterologous 205 protein that does not secrete into the extracellualr medium during fermentation. After completing the fermentation, cells are required to suspend in low conductivity buffer and thereafter are pulsed with the high electric field strengths resulting the secretion of protein of interest into the extracellualr medium. 8. Since the heating generated during pulses may affect the extracted proteins or product of interest, the development of a cooling system in conjunction with the pulsing chamber will be an important breakthrough in using this approach in bioprocessing. 206 Chapter EIGHT 8. References 1. Adams, J. B. (1991), Review: enzyme inactivation during heat processing of food stuffs. International Journal of Food Science and Technology, 26:1-20. 2. Aiba, S.; Imanaka, T. and Tsunekawa, H. (1980), Enhancement of tryptophan production by Escherichia coli as an application of genetic engineering. Biotechnology Letters, 2:525-529. 3. Akiyama, S. I.; Hidaka, K.; Komiyama, S. and Kuwano, M. (1979), Control of permeation of Bleomycin A2 by polyene antibiotics in cultured Chinese hamster cells. Cancer Research, 39:5150-5154. 4. Alvarez, I.; Raso, J.; Palop, A. and Sala, F. J. (2000), Influence of different factors on the inactivation of Salmonella senftenberg by pulsed electric fields. International Journal of Food Microbiology, 55:143-146. 5. Angersbach, A.; Heinz, V. and Knorr, D. (2000), Effects of pulsed electric fields on cell membrane in real food systems. Innovative Food Science and Emerging Technologies, 1:135-149. 6. Arakawa, T. and Timasheff, S. N. (1985), The stabilization of proteins by osmolytes. Biophysical Journal, 47:411-414. 7. Aronsson, K.; Lindgren, M.; Johansson, B. R. and Ronner, U. (2001), Inactivation of microorganisms using pulsed electric fields: the influence of process parameters on Escherichia coli, Listeria innocua, Leuconostoc mesenteroides and Saccharomyces cerevisiae. Innovative Food Science and Emerging Technologies, 2:41-54. 8. Aronsson, K.; Ronner, U. and Borch, E. (2005), Inactivation of Escherichia coli, Listeria innocua and Saccharomyces cerevisiae in relation to membrane permeabilization and subsequent leakage of intracellular compounds due to pulsed electric field processing. International Journal of Food microbiology, 99:19-32. 9. Asakura, Y.; Kimura, E.; Usuda, Y.; Kawahara, Y.; Matsui, K.; Osumi, T.; Nakamatsu, T. (2007) Altered metabolic flux due to deletion of odhA causes L- 207 glutamate overproduction in Corynebacterium glutamicum. Applied and Environmental Microbiology, 73:1308-1319. 10. Bank, H. L. (1987), Assessment of islet cell viability using fluorescent dyes. Diabetologia, 30:812-816. 11. Barabote, R. D. and Saier, J. M. H. (2005), Comparative genomic analyses of the bacterial phosphotransferase system. Microbiology and Molecular Biology Reviews, 69:608-634. 12. Barbosa-Canovas, G. V.; Gongora, M. M.; Pothakamury, U. R. and Swanson, B. G. (1999), Preservation of Foods with Pulsed Electric Fields. Academic Press, San Diego. 13. Barer, M. R. and Harwood, C. R. (1999), Bacterial viability and culturability. Advances in Microbial Physiology, 41:93-137. 14. Barksdale, L. (1970), Corynebacterium diphtheriae and its relatives. Bacteriological Reviews, 34:378-422. 15. Barrau, C.; Teissie, J. and Gabriel, B. (2004), Osmotically induced membrane tension facilitates the triggering of living cell electropermeabilization. Bioelectrochemistry, 63:327-332. 16. Barron, A.; May, G.; Bremer, E. and Villarejo, M. (1986), Regulation of envelope protein composition during adaptation to osmotic stress in Escherichia coli. Journal of Bacteriology, 167:433-438. 17. Beckers, G.; Nolden, L. and Burkovski, A. (2001), Glutamate synthase of Corynebacterium glutamicum is not essential for glutamate synthesis and is regulated by the nitrogen status. Microbiology, 147:2961-2970. 18. Belehradek, M.; Domenge, C.; Luboinski, B.; Orlowski, S.; Belehradek, J. Jr. and Mir, L. M. (1993), Electrochemotherapy, a new antitumor treatment; First clinical phase I–II trial. Cancer, 72:3694-3700. 19. Bertani, G. (1951), Studies on lysogenesis. I. The mode of phage liberation by lysogenic Escherichia coli. Journal of Bacteriology, 62:293-300. 20. Bonamy, C.; Guyonvarch, A.; Reyes, O.; David, F. and Leblon, G. (1990), Interspecies electrotransformation in corynebacteria. FEMS Microbiology Letters, 66:263-270. 208 21. Bonnassie, S.; Burini, J. F.; Oreglia, J.; Trautwetter, A.; Patte, J. C. and Sicard, A. M. (1990), Transfer of plasmid DNA to Brevibacterium lactofermentum by electrotransformation. Journal of General Microbiology, 136:2107-2112. 22. Booth, I. R. and Higgins, C. F. (1990), Enteric bacteria and osmotic stress: intracellular potassium glutamate as a secondary signal of osmotic stress? FEMS Microbiology Reviews, 75:239-246. 23. Bormann, E. R.; Eikmanns, B. J. and Sahm, H.. (1992), Molecular analysis of the Corynebacterium glutamicum gdh gene encoding glutamate dehydrogenase. Molecular Microbiology, 6:317-326. 24. Bormann-El Kholy, E. R.; Eikmanns, B. J.; Gutmann, M. and Sahm, H. (1993), Glutamate dehydrogenase Corynebacterium is glutamicum. not essential Applied for and glutamate Environmental formation by Microbiology, 59:2329-2331. 25. Bradford, M. M. (1976), A rapid and sensitive for the quantitation of microgram quantitites of protein utilizing the principle of protein-dye binding. Analytical Biochemistry, 72:248-254. 26. Breddam, K. and Beenfeldt, T. (1991), Acceleration of yeast autolysis by chemical methods for production of intracellular enzymes. Applied Microbiology and Biotechnology, 35:323-329. 27. Breeuwer, P. and Abee. T. (2000), Assessment of viability of microorganisms employing fluorescence techniques. International Journal of Food Microbiology, 55:193-200. 28. Brennan, P. J. and Nikaido, H. (1995), The envelope of mycobacteria. Annual Review of Biochemistry, 64:29-63. 29. Burkovski, A.; Weil, B. and Kramer, R (1996), Characterization of a secondary uptake system for L-glutamate in Corynebacterium glutamicum. FEMS Microbiology Letters, 136:169-173. 30. Burkovski, A. (2003a), I do it my way: regulation of ammonium uptake and ammonium assimilation in Corynebacterium Microbiology, 179:83-88. 209 glutamicum. Archives of 31. Burkovski, A. (2003b), Ammonium assimilation and nitrogen control in Corynebacterium glutamicum and its relatives: an example for new regulatory mechanisms in actinomycetes. FEMS Microbiology Reviews, 27:617-628. 32. Cairney, J.; Booth, I. R. and Higgins, C. F. (1985), Salmonella typhimurium proP gene encodes a transport system for the osmoprotectant betaine. Journal of Bacteriology, 164:1218-1223. 33. Calik, G.; Unlutabak, F. and Ozdamar, T. H. (2001), Product and by-product distribution in glutamic acid fermentation by Brevibacterium flavum: effects of the oxygen transfer. Biochemical Engineering Journal, 9:91-101. 34. Calvin, N. M. and Hanawalt, P. C. (1988), High-efficiency transformation of bacterial cells by electroporation. Journal of Bacteriology, 170:2796-2801. 35. Canatella, P. J.; Karr, J. F.; Petros, J. A. and Prausnitz, M. R. (2001), Quantitative study of electroporation-mediated molecular uptake and cell viability. Biophysical Journal, 80:755-764. 36. Carpita, N. C. (1985), Tensile strength of cell walls of living cells. Plant Physiology, 79:485-488. 37. Carter, B. J.; de Vroom, E.; Long, E. C.; van der Marel, G. A.; van Boom, J. H. and Hecht, S. M. (1990), Site-specific cleavage of RNA by Fe(II)-Bleomycin. Proceedings of the National Academy of Sciences USA, 87:9373-9377. 38. Chami, M.; Bayan, N.; Peyret, J. L.; Gulik-Krzywicki, T.; Leblon, G. and Shechter, E. (1997), The S-layer protein of Corynebacterium glutamicum is anchored to the cell wall by its C-terminal hydrophobic domain. Molecular Microbiology, 23:483492. 39. Chang, D. C.; Chassy, B. M.; Saunders, J. A. and Sowers, A. E. (1992), Guide to Electroporation and Electrofusion. Academic Press, San Diego. 40. Chassagnole, C.; Fabien Letisse, F.; Diano, A. and Lindley, N. D. (2002), Carbon flux analysis in a pantothenate overproducing Corynebacterium glutamicum strain. Molecular Biology Reports, 29:129-134. 41. Chassagnole, C.; Diano, A.; Letisse, F. and Lindley, N. D. (2003), Metabolic network analysis during fed-batch cultivation of Corynebacterium glutamicum for 210 pantothenic acid production: first quantitative data and analysis of by-product formation. Journal of Biotechnology, 104:261-272. 42. Chassy, B. M. and Flickinger, J. L. (1987), Transformation of Lactobacillus casei by electroporation. FEMS Microbiology Letters, 44:173-177. 43. Chen, W. and Lee, R. C. (1994), Evidence for electrical shock-induced conformational damage of voltage-gated ionic channels. Annals of the New York Academy of Sciences, 720:124-135. 44. Chernomordik, L. V.; Sukharev, S. I.; Popov, S. V.; Pastushenko, V. F.; Sokirko, A. V.; Abidor, I. G. and Chizmadzhev, Y. A. (1987), The electrical breakdown of cell and lipid membranes: the similarity of phenomenologies. Biochimica et Biophysica Acta (BBA) - Biomembranes, 902:360-373. 45. Chevalier, J.; Pommier, M. T.; Cremieux, A. and Michel, G. (1988), Influence of Tween 80 on the mycolic acid composition of three cutaneous corynebacteria. Journal of General Microbiology, 134:2457-2461. 46. Christensen, B. and Nielsen, J. (1999), Metabolic network analysis, a powerful tool in metabolic engineering. Advances in Biochemical Engineering/Biotechnology, 66:209-231. 47. Chun, J.; Kang, S-O.; Hah, Y. C. and Goodfellow, M. (1996), Phylogeny of mycolic acid-containing actinomycetes. Journal of Industrial Microbiology and Biotechnology, 17:205-213. 48. Clark, D. and Parker, J. (1984), Proteins induced by high osmotic pressure in Escherichia coli. FEMS Microbiology Letters, 25:81-83. 49. Clement, Y.; Escoffier, C.; Trombe, M. C. and Laneelle, G. (1984), Is glutamate excreted by its uptake system in Corynebacterium glutamicum? A working hypothesis. Journal of General Microbiology, 130:2589-2594. 50. Clement, Y. and Laneelle, G. (1986), Glutamate excretion mechanism in Corynebacterium glutamicum: triggering by biotin starvation or by surfactant addition. Journal of General Microbiology, 132:925-929. 51. Cocaign-Bousquet, M., Monnet, C., and Lindley, N. D. (1993), Batch kinetics of Corynebacterium glutamicum during growth on various substrates: Use of substrate 211 mixtures to localize metabolic bottlenecks. Applied Microbiology and Biotechnology, 40:526-530. 52. Cocaign-Bousquet, M. and Lindley, N. D. (1995), Pyruvate overflow and carbon flux within the central metabolic pathways of Corynebacterium glutamicum during growth on lactate. Enzyme and Microbial Technology, 17:260-267. 53. Cocaign-Bousquet, M.; Guyonvarch, A. and Lindley, N. D. (1996), Growth ratedependent modulation of carbon flux through central metabolism and kinetic consequences for glucose-limited chemostat cultures of Corynebacterium glutamicum. Applied and Environmental Microbiology, 62:429-436. 54. Collins, D. M.; Pirouz, T. and Goodfellow, M. (1977), Distribution of menaquinines in actinomyces and corynebacteria. Journal of General Microbiology, 100:221:230. 55. Collins, D. M.; Goodfellow, M. and Minnikin, D. E. (1979), Isoprenoid quinines in the classification of coryneform and related bacteria. Journal of General Microbiology, 110:127:136. 56. Collins, M. D.; Goodfellow, M. and Minnikin, D. E. (1982), A survey of the structures of mycolic acids in Corynebacterium and related taxa. Journal of General Microbiology, 128:29-49. 57. Collins, M. D. and Cummins, C. S. (1986), Genus Corynebacterium. In: Bergey's Manual of Systematic Bacteriology, Sneath, P. H. A.; Mair, N. S.; Sharpe, M. E. and Holt, J. G. (Editors), 1266-1276, Williams and Wilkins, Baltimore. 58. Costa-Riu, N.; Burkovski, A.; Kramer, R. and Benz, R. (2003), PorA represents the major cell wall channel of the Gram-positive bacterium Corynebacterium glutamicum. Journal of Bacteriology, 185:4779-4786. 59. Csonka, L. N. (1989), Physiological and genetic responses of bacteria to osmotic stress. Microbiological Reviews, 53:121-147. 60. Csonka, L. N. and Hanson, A. D. (1991), Prokaryotic osmoregulation: Genetics and physiology. Annual Review of Microbiology, 45:569-606. 61. Davey, H.M., Kaprelyants, A.S., and Kell, D.B. (1993). Flow cytometric analysis, using rhodamine 123, of Micrococcus luteus at low growth rate in chemostat 212 culture. In: Flow Cytometry in Microbiology, Lloyd, D. (Editor), 83-93, SpringerVerlag, London. 62. Davey, H. M., and Kell, D. B. (1996), Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses. Microbiological Reviews, 60:641-696. 63. De Nobel, J. G.; Dijkers, C.; Hooijberg, E. and Klis, F. M. (1989), Increase of cell wall porosity in Saccharomyces cerevisiae after treatment with dithiotreitol or EDTA. Journal of General Microbiology, 135:2077-2084. 64. De Nobel, J. G. and Barnett, J. A. (1991), Passage of molecules through yeast walls: a brief essay-review. Yeast, 7:313-323. 65. Delaunay, S.; Uy, D.; Baucher, M. F.; Engasser, J. M.; Guyonvarch, A. and Goergen, J. L. (1999a), Importance of phosphoenolpyruvate carboxylase of Corynebacterium glutamicum during the temperature triggered glutamic acid fermentation. Metabolic Engineering, 1:334-343. 66. Delaunay, S.; Gourdon, P.; Lapujade, P.; Mailly, E.; Oriol, E.; Engasser, J. M.; Lindley, N. D. and Goergen, J. L. (1999b), An improved temperature-triggered process for glutamate production with Corynebacterium glutamicum. Enzyme and Microbial Technology, 25:762-768. 67. Delorme, E. (1989), Transformation of Saccharomyces cerevisiae by electroporation. Applied and Environmental Microbiology, 55:2242-2246. 68. Demain, A. L. and Birnbaum, J. (1968), Alteration of permeability for the release of metabolites from the microbial cell. Current Topics in Microbiology and Immunology, 46:1-25. 69. Deng, J.; Schoenbach, K. H.; Buescher, E. S.; Hair, P. S.; Fox, P. M. and Beebe, S. J. (2003), The effects of intense submicrosecond electrical pulses on cells. Biophysical Journal, 84:2709-2714. 70. Dev, S. B.; Rabussay, D. P.; Widera, G. and Hofmann, G. A. (2000), Medical applications of electroporation. IEEE Transactions on Plasma Science, 28:206223. 71. Diaper, J. P.; Tither, K. and Edwards, C. (1992), Rapid assessment of bacterial viability by flow cytometry. Applied Microbiology and Biotechnology, 38:268-272. 213 72. Dihazi, H.; Asif, A. R.; Agarwal, N. K.; Doncheva, Y. and Muller, G. A. (2005), Proteomic analysis of cellular response to osmotic stress in Thick Ascending Limb of Henle’s Loop (TALH) cells. Molecular & Cellular Proteomics, 4:1445-1458. 73. Dimitrov, D. S. and Sowers, A. E. (1990), Membrane electroporation-fast molecular exchange by electroosmosis. Biochimica et Biophysica Acta (BBA) - Biomembranes, 1022:381-392. 74. Ding, Y.; Yu, H. and Mou, S. (2002), Direct determination of free amino acids and sugars in green tea by anion-exchange chromatography with integrated pulsed amperometric detection. Journal of Chromatography A, 982:237-244. 75. Djuzenova, C. S.; Zimmermann, U.; Frank, H.; Sukhorukov, V. L.; Richter, E. and Fuhr, G. (1996), Effect of medium conductivity and composition on the uptake of propidium iodide into electropermeabilized myeloma cells. Biochimica et Biophysica Acta (BBA) - Biomembranes, 1284:143-152. 76. Dominguez, H. and Lindley, N. D. (1996), Complete sucrose metabolism requires fructose phosphotransferase activity in Corynebacterium glutamicum to ensure phosphorylation of liberated fructose. Applied and Environmental Microbiology, 62:3878-3880. 77. Dominguez, H., Cocaign-Bousquet, M. and Lindley, N. D. (1997), Simultaneous consumption of glucose and fructose from sugar mixtures during batch growth of Corynebacterium glutamicum. Applied Microbiology and Biotechnology, 47:600603. 78. Dominguez, H.; Rollin, C.; Guyonvarch, A.; Guerquin-Kern, J. L. and Lindley, N. D. (1998), Carbon flux distribution in the central metabolic pathways of Corynebacterium glutamicum during growth on fructose. European Journal of Biochemistry, 254:96-102. 79. Dower, W. J.; Miller, J. F. and Ragsdale, C. W. (1988), High efficiency of transformation of E. coli by high-voltage electroporation. Nucleic Acids Research, 16:6127-6145. 80. Dunican, L. K. and Shivnan, E. (1989), High frequency transformation of whole cells of amino acid producing coryneform bacteria using high voltage electroporation. Biotechnology, 7:1067-1070. 214 81. Duperray, F.; Jezequel, D.; Ghazi, A.; Letellier, L. and Shechter, E. (1992), Excretion of glutamate from Corynebacterium glutamicum triggered by amine surfactants. Biochimica et Biophysica Acta (BBA) - Biomembranes, 1103:250258. 82. Eggeling, L. and Sahm, H. (1999), L-glutamate and L-lysine: traditional products with impetuous developments. Applied Microbiology and Biotechnology, 52:146153. 83. Eggeling, L. and Sahm, H. (2001), The cell wall barrier of Corynebacterium glutamicum and amino acid efflux. Journal of Bioscience and Bioengineering, 92:201-213. 84. Eggeling, L.; Krumbach, K. and Sahm, H. (2001), L-Glutamate efflux with Corynebacterium glutamicum: Why is penicillin treatment or Tween addition doing the same? Journal of Molecular Microbiology and Biotechnology, 3:67-68. 85. Eggeling, L. and Bott, M. (2005), Handbook of Corynebacterium glutamicum. CRC Press, Boca Raton London New York Singapore. 86. Eikmanns, B. J.; Kircher, M. and Reinscheid, D. J. (1991), Discrimination of Corynebacterium glutamicum, Brevibacterium flavum and Brevibacterium lactofermentum by restriction pattern analysis of DNA adjacent to the hom gene. FEMS Microbiology Letters, 66:203-207. 87. Eikmanns, B. J.; Thum-Schmitz, N.; Eggeling, L.; Ludtke, K. and Sahm, H. (1994), Nucleotide sequence, expression and transcriptional analysis of the Corynebacterium glutamicum gltA gene encoding citrate synthase. Microbiology, 140:1817-1828. 88. Eikmanns, B. J.; Rittmann, D. and Sahm, H. (1995), Cloning, sequence analysis, expression, and inactivation of the Corynebacterium glutamicum icd gene encoding isocitrate dehydrogenase and biochemical characterization of the enzyme. Journal of Bacteriology, 177:774-782. 89. Escande-Geraud, M. L.; Rols, M. P.; Dupont, M. A.; Gas, N. and Teissie, J. (1988), Reversible plasma membrane ultrastructural changes correlated with electropermeabilization in CHO cells. Biochimica et Biophysica Acta (BBA) Biomembranes, 939:247-259. 215 90. Eynard, N.; Sixou, S.; Duran, N. and Teissie, J. (1992), Fast kinetics studies of Escherichia coli electrotransformation European Journal of Biochemistry, 209:431-436. 91. Farnleitner, A. H.; Kreuzinger, N.; Kavka, G. G.; Grillenberger, S.; Rath, J. and Mach, R. L. (2000), Simultaneous detection and differentiation of Escherichia coli populations from environmental freshwaters by means of sequence variations in a fragment of the -D-glucuronidase gene. Applied and Environmental Microbiology, 66:1340-1346. 92. Farwick, M.; Siewe, R. M. and Kramer, R. (1995), Glycine betaine uptake after hyperosmotic shift in Corynebacterium glutamicum. Journal of Bacteriology, 177:4690-4695. 93. Faurie, C.; Golzio, M.; Phez, E.; Teissie, J. and Rols, M. P. (2005), Electric fieldinduced cell membrane permeabilization and gene transfer: Theory and experiments. Engineering in Life Sciences, 5:179-186. 94. Fiedler, S. and Wirth, R. (1988), Transformation of bacteria with plasmid DNA by electroporation. Analytical Biochemistry, 170:38-44. 95. Fologea, D.; Vassu, T. and Stoica, I. (2004), Thermal effects during electroporation: theoretical and experimental considerations. Roumanian Biotechnological Letters, 9:1587-1590. 96. Frings, E.; Kunte, H. J. and Galinski, E. A. (1993), Compatible solutes in representatives of the genera Brevibacterium and Corynebacterium: occurrence of tetrahydropyrimidines and glutamine. FEMS Microbiology Letters, 109:25-32. 97. Fromm, M.; Taylor, L. and Walbot, V. (1985), Expression of genes transferred into monocot and dicot plant cells by electroporation. Proceedings of the National Academy of Sciences USA, 82:5824-5828. 98. Gabriel, B. and Teissie, J. (1995), Control by electrical parameters of short- and long-term cell death resulting from electropermeabilization of Chinese hamster ovary cells. Biochimica et Biophysica Acta (BBA) - Molecular Cell Research, 266:171-178. 216 99. Gabriel, B. and Teissie, J. (1997), Direct observation in the millisecond time range of fluorescent molecule asymmetrical interaction with the electropermeabilized cell membrane. Biophysical Journal, 73:2630-2637. 100. Gabriel, B. and Teissie, J. (1999), Time courses of mammalian cell electropermeabilization observed by millisecond imaging of membrane property changes during the pulse. Biophysical Journal, 76:2158-2165. 101. Galinski, E. A. (1995), Osmoadapataion of bacteria. Advances in Microbial Physiology, 37:273-328. 102. Gallo, S. A.; Sen, A.; Hensen, M. L. and Hui, S. W. (2002), Temperature-dependent electrical and ultrastructural characterizations of porcine skin upon electroporation. Biophysical Journal, 82:109-119. 103. Ganeva, V.; Galutzov, B. and Teissie, J. (1995), Electric field mediated loading of macromolecules in intact yeast cells is critically controlled at the wall level. Biochimica et Biophysica Acta (BBA) - Biomembranes, 1240:229-236. 104. Ganeva, V. and Galutzov, B. (1999), Electropulsation as an alternative method for protein extraction from yeast. FEMS Microbiology letters, 174:279-284. 105. Ganeva, V.; Galutzov, B.; Eynard, N. and Teissie, J. (2001), Electroinduced extraction of ß-galactosidase from Kluyveromyces lactis. Applied Microbiology and Biotechnology, 56:411-413. 106. Ganeva, V.; Galutzov, B. and Teissie, J. (2003), High yield electroextraction of proteins from yeast by a flow process. Analytical Biochemistry, 315:77-84. 107. Ganeva, V.; Galutzov, B. and Teissie, J. (2004), Flow process for electroextraction of intracellular enzymes from the fission yeast, Schizosaccharomyces pombe. Biotechnology Letters, 26:933-937. 108. Garcia, D.; Gomez, N.; Condon, S.; Raso, J. and Pagan, R. (2003), Pulsed electric fields cause sublethal injury in Escherichia coli. Letters in Applied Microbiology, 36:140-144. 109. Gebhardt, H.; Meniche, X.; Tropis, M.; Kramer, R.; Daffe, M. and Morbach, S. (2007), The key role of the mycolic acid content in the functionality of the cell wall permeability barrier in Corynebacterineae. Microbiology, 153:1424-1434. 217 110. Gehl, J. and Mir, L. M. (1999), Determination of optimal parameters for in vivo gene transfer by electroporation, using a rapid in vivo test for cell permeabilization. Biochemical and Biophysical Research Communications, 261:377-380. 111. Georgi, T.; Rittmann, D. and Wendisch, V. F. (2005), Lysine and glutamate production by Corynebacterium glutamicum on glucose, fructose and sucrose: roles of malic enzyme and fructose-1, 6-bisphosphatase. Metabolic Engineering, 7:291301. 112. Glaasker, E.; Konings, W. N. and Poolman, B. (1996), Glycine betaine fluxes in lactobacillus plantarum during osmostasis and hyper- and hypo-osmotic shock. The Journal of Biological Chemistry, 271:10060-10065. 113. Golzio, M.; Mora, M. P.; Raynaud, C.; Delteil, C.; Teissie, J. and Rols, M. P. (1998), Control by osmotic pressure of voltage-induced permeabilization and gene transfer in mammalian cells. Biophysical Journal, 74:3015-3022. 114. Golzio, M.; Teissie, J. and Rols, M. P. (2002), Direct visualization at the single-cell level of electrically mediated gene delivery. Proceedings of the National Academy of Science, 99:1292-1297. 115. Golzio, M.; Rols, M. P. and Teissie, J. (2004), In vitro and in vivo electric fieldmediated permeabilization, gene transfer, and expression. Methods, 33:126-135. 116. Goodfellow, M., Collins, M. D. and Minnikin, D. E. (1976), Thin-layer chromatographic analysis of mycolic acid and other long-chain components in whole-organism methanolysates of coryneform and related taxa. Journal of General Microbiology, 96:351-358. 117. Gothelf, A.; Mir, L. M. and Gehl, J. (2003), Electrochemotherapy: results of cancer treatment using enhanced delivery of Bleomycin by electroporation. Cancer Treatment Reviews, 29:371-387. 118. Gourdon, P.; Baucher, M-F.; Lindley, N. D. and Guyonvarch, A. (2000), Cloning of the malic enzyme gene from Corynebacterium glutamicum and role of the enzyme in lactate metabolism. Applied and Environmental Microbiology, 66:2981-2987. 119. Gourdon, P.; Raherimandimby, M.; Dominguez, H.; Cocaign-Bousquet, M. and Lindley, N. D. (2003), Osmotic stress, glucose transport capacity and consequences 218 for glutamate overproduction in Corynebacterium glutamicum. Journal of Biotechnology, 104:77-85. 120. Grothe, S.; Krogsrud, R. L.; McClellan, D. J.; Milner, J. L. and Wood, J. M. (1986), Proline transport and osmotic stress response in Escherichia coli K-12. Journal of Bacteriology, 166:253-259. 121. Guillouet, S. and Engasser, J. M. (1995a), Sodium and proline accumulation in Corynebacterium glutamicum as a response to an osmotic saline upshock. Applied Microbiology and Biotechnology, 43:315-320. 122. Guillouet, S. and Engasser, J. M. (1995b), Growth of Corynebacterium glutamicum is glucose-limited continuous cultures under high osmotic pressure. Influence of growth rate on the intracellular accumulation of proline, glutamate and trehalose. Applied Microbiology and Biotechnology, 44:496-500. 123. Guillouet, S. and Engasser, J. M. (1996), Kinetics of volume variation of Corynebacterium glutamicum following saline osmotic upshifts. Biotechnology Letters, 18:145-148. 124. Gutmann, M.; Hoischen, C. and Kramer, R. (1992), Carrier-mediated glutamate secretion by Corynebacterium glutamicum under biotin limitation. Biochimica et Biophysica Acta (BBA) - Biomembranes, 1112:115-123. 125. Hacking, A. J. (1986), Economic Aspects of Biotechnology. Cambridge University Press, Cambridge. 126. Haest, C. W.; Kamp, D. and Deuticke, B. (1997), Transbilayer reorientation of phospholipid probes in the human erythrocyte membrane. Lessons from studies on electroporated and resealed cells. Biochimica et Biophysica Acta (BBA) Biomembranes, 1325:17-33. 127. Hapala, I. (1997), Breaking the barrier: methods of reversible permeabilization of cellular membranes. Critical Reviews in Biotechnology, 17:105-122. 128. Hashimoto, K-I.; Kawasaki, H.; Akazawa, K.; Nakamura, J.; Asakura, Y.; Kudo, T.; Sakuradani, composition and E.; Shimizu, content of S. and Nakamatsu, T. (2006), Changes in mycolic acids in glutamate-overproducing Corynebacterium glutamicum. Bioscience, Biotechnology, and Biochemistry, 70:22-30. 219 129. Hattermann, D. R. and Stacey, G. (1990), Efficient DNA transformation of Bradyrhizobium japonicum by electroporation. Applied and Environmental Microbiology, 56:833-836. 130. Hattori, T. (1988), The Viable Count: Quantitative and Environmental Aspects. Springer-Verlag, Berlin. 131. Haugland, R. P. (1992), Handbook of Fluorescent Probes and Research Chemicals. Molecular Probes, Eugene, USA. 132. Haynes, J. A. and Britz, M. L. (1989), Electrotransformation of Brevibacterium lactofermentum and Corynebacterium glutamicum: growth in tween 80 increases transformation frequencies. FEMS Microbiology Letters, 61:329-333. 133. Haynes, J. A. and Britz, M. L. (1990), The effect of growth conditions of Corynebacterium glutamicum on the transformation frequency obtained by electroporation. Journal of General Microbiology, 136:255-263. 134. Heller, R.; Gilbert, R. and Jaroszeski, M. J. (1999), Clinical applications of drug delivery. Advanced Drug Delivery Reviews, 35:119-129. 135. Hermann, T.; Pfefferle, W.; Baumann, C.; Busker, E.; Schaffer, S.; Bott, M.; Sahm, H.; Dusch, N.; Kalinowski, J.; Puhler, A.; Bendt, A. K.; Kramer, R. and Burkovski, A. (2001), Proteome analysis of Corynebacterium glutamicum. Electrophoresis, 22:1712-1723. 136. Hermann, T. (2003), Industrial production of amino acids by coryneform bacteria. Journal of Biotechnology, 104:155-172. 137. Hilliger, M. and Hanel, F. (1981), Process analysis of L-lysine fermentation under different oxygen supply. Biotechnology Letters, 3:219-224. 138. Hirao, T., Nakano, T., Azuma, T., Sugimoto, M. and Nakanishi, T. (1989), LLysine production in continuous culture of an L-lysine hyperproducing mutant of Corynebacterium glutamicum. Applied Microbiology and Biotechnology, 32:269273. 139. Hirose, Y.; Enei, H. and Shibai, H. (1985), L-glutamic acid fermentation, In: Comprehensive Biotechnology, Blanch, H. W.; Drew, S. and Wang, D. I. C. (Editors), 593-600, Pergamon Press. 220 140. Ho, S. Y. and Mittal, G. S. (1996), Electroporation of cell membrane: a review. Critical Reviews in Biotechnology, 16:349-362. 141. Hofmann, G. A.; Dev, S. B.; Nanda, G. S. and Rabussay, D. (1999), Electroporation therapy of solid tumors. Critical Reviews in Therapeutic Drug Carrier Systems, 16:523-569. 142. Hoischen, C. and Kramer, R. (1989), Evidence for an efflux carrier system involved in the secretion of glutamate by Corynebacterium glutamicum. Archives of Microbiology, 151:342-347. 143. Hoischen, C. and Kramer, R. (1990), Membrane alteration is necessary but not sufficient for effective glutamate secretion in Corynebacterium glutamicum. Journal of Bacteriology, 172:3409-3416. 144. Huchenq, A.; Marquet, M.; Welby, M.; Montrozier, H.; Goma, G. and Laneelle, G. (1984), Glutamate excretion triggering mechanism: a reinvestigation of the surfactant-induced modification of cell lipids. Annals of Microbiology, 135:53-67. 145. Hui, S. W. (1996), Effects of pulse length and strength on electroporation efficiency. In: Methods in Molecular Biology, Nickoloff, J. A. (Editor), 29-40, Humana Press, Totowa, NJ. 146. Husheger, H.; Potel, J. and Niemann, E. G. (1981), Killing of bacteria with electric pulses of high field strength. Radiation and Environmental Biophysics, 20:53-65. 147. Ikeda, M. (2002), Amino acid production processes. Advances in Biochemical Engineering/Biotechnology, 79:7-35. 148. Ikeda, S.; Ishizaki, A.; Hirose, Y. and Shiro, T. (1972), Method for producing Lglutamic acid by fermentation. US Patent Application, 3674639. 149. Ikeda, M. and Nakagawa, S. (2003), The Corynebacterium glutamicum genome: features and impacts on biotechnological processes. Applied Microbiology and Biotechnology, 62:99-109. 150. Ishino, S; Shimomura-Nishimuta, J; Yamaguchi, K; Shirahata, K and Araki, K (1991), 13 C nuclear magnetic resonance studies of glucose metabolism in L- glutamic acid and L-lysine fermentation by Corynebacterium glutamicum. Journal of General and Applied Microbiology, 37:157-165. 221 151. Jackson, M.; Raynaud, C.; Laneelle, M. A.; Guilhot, C.; Laurent-Winter, C.; Ensergueix, D.; Gicquel, B. and Daffe, M. (1999), Inactivation of the antigen 85C gene profoundly affects the mycolate content and alters the permeability of the Mycobacterium tuberculosis cell envelope. Molecular Microbiology, 31:15731587. 152. Jakoby, M.; Kramer, R. and Burkovski, A. (1999), Nitrogen regulation in Corynebacterium glutamicum: isolation of genes involved and biochemical characterization of corresponding proteins. FEMS Microbiology Letters, 173:303310. 153. Jakoby, M.; Nolden, L.; Meier-Wagner, J.; Kramer, R. and Burkovski, A. (2000), AmtR, a global repressor in the nitrogen regulation system of Corynebacterium glutamicum. Molecular Microbiology, 37:964-977. 154. Jarlier, V. and Nikaido, H. (1990), Permeability barrier to hydrophilic solutes in Mycobacterium chelonei. Journal of Bacteriology, 172:1418-1423. 155. Jarlier, V. and Nikaido, H. (1994), Mycobacterial cell wall: structure and role in natural resistance to antibiotics. FEMS Microbiology Letters, 123:1l-18. 156. Jaroszeski, M. J.; Gilbert, R. and Heller, R. (1997), Electrochemotherapy: an emerging drug delivery method for the treatment of cancer. Advanced Drug Delivery Reviews, 26:185-197. 157. Jaroszeski, M. J.; Gilbert, R.; Nicolau, C. and Heller, R. (1999), In vivo gene delivery by electroporation. Advanced Drug Delivery Reviews, 35:131-137. 158. Jayaram, S.; Castle, G. S. P. and Margaritis, A. (1992) Kinetics of sterilization of Lactobacillus brevis cells by the application of high voltage pulses. Biotechnology and Bioengineering, 40:1412-1420. 159. Jepras, R. I.; Carter, J.; Pearson, S. C.; Paul, F. E. and Wilkinson, M. J. (1995), Development of a robust flow cytometric assay for determining numbers of viable bacteria. Applied and Environmental Microbiology, 61:2696-2701. 160. Jetten, M. S. M. and Sinskey, A. J. (1993), Characterization of phosphoenolpyruvate carboxykinase from Corynebacterium glutamicum. FEMS Microbiology Letters, 111:183-188. 222 161. Jetten, M. S. M. and Sinskey, A. J. (1995a), Purification and properties of oxaloacetate decarboxylase from Corynebacterium glutamicum. Antonie van Leeuwenhoek, 67:221-227. 162. Jetten, M. S. M. and Sinskey, A. J. (1995b), Recent advances in the physiology and genetics of amino acid-producing bacteria. Critical Reviews in Biotechnology, 15:73-103. 163. Kalinowski, J.; Bathe, B.; Bartels, D.; Bischoff, N.; Bott, M.; Burkovski, A.; Dusch, N.; Eggeling, L.; Eikmanns, B. J.; Gaigalat, L.; Goesmann, A.; Hartmann, M.; Huthmacher, K.; Krämer, R., Linke, B.; McHardy, A. C.; Meyer, F.; Möckel, B.; Pfefferle, W.; Pühler, A.; Rey, D. A.; Rückert, C.; Rupp, O.; Sahm, H.; Wendisch, V. F.; Wiegräbe, I.; and Tauch, A. (2003), The complete Corynebacterium glutamicum ATCC 13032 genome sequence and its impact on the production of Laspartate-derived amino acids and vitamins. Journal of Biotechnology, 104:5-25. 164. Kanzaki, T.; Isobe, K.; Okazaki, H.; Motizuki, K. and Fukuda, H. (1967), LGlutamic acid fermentation. Part I. Selection of an oleic acid-requiring mutant and its properties. Agricultural and Biological Chemistry, 31:1307-1311. 165. Karube, I.; Tamiya, E. and Matsuoka, H. (1985), Transformation of Saccharomyces cerevisiae spheroplasts by high electric field. FEBS Letters, 182:90-94. 166. Kawahara, Y.; Ohsumi, T.; Yoshihara, Y. and Ikeda, S. (1989), Proline in osmoregulation of Brevibacteriurn lactofermentum. Agricultural and Biological Chemistry, 53:2475-2479. 167. Kawahara, Y.; Yoshihara, Y.; Ikeda, S.; Yoshii, H. and Hirose, Y. (1990), Stimulatory effect of glycine betaine on L-lysine fermentation. Applied Microbiology and Biotechnology, 34:87-90. 168. Kawahara, Y.; Takahashi, F.; Shimizu, E.; Nakamatsu, T. and Nakamori, S. (1997), Relationship between the glutamate production and the activity of 2-oxoglutarate dyhydrogenase in Brevebacterium lactofermentum. Bioscience, Biotechnology, and Biochemistry, 61:1109-1112. 169. Keilhauer, C; Eggeling, L. and Sahm, H. (1993), Isoleucine synthesis in Corynebacterium glutamicum: molecular analysis of the ilvB-ilvN-ilvC operon. Journal of Bacteriology, 175:5595-5603. 223 170. Kiefer, P.; Heinzle, E. and Wittmann, C. (2002), Influence of glucose, fructose and sucrose as carbon sources on kinetics and stoichiometry of lysine production by Corynebacterium glutamicum. Journal of Industrial Microbiology and Biotechnology, 28:338-343. 171. Kiefer, P.; Heinzle, E.; Zelder, O. and Wittmann, C. (2004), Comparative metabolic flux analysis of lysine-producing Corynebacterium glutamicum cultured on glucose or fructose. Applied and Environmental Microbiology, 70:229-239. 172. Kikuchi, M. and Nakao, Y. (1986), Glutamic acid. Progress in Industrial Microbiology, 24:101-116. 173. Kimura, E.; Abe, C.; Kawahara, Y. and Nakamatsu, T. (1996), Molecular cloning of a novel gene, DtsR, which rescues the detergent sensitivity of a mutant derived from Brevibacterium lactofermentum. Bioscience, Biotechnology, and Biochemistry, 60:1565-l 570 174. Kimura, E.; Abe, C.; Kawahara, Y.; Nakamatsu, T. and Tokuda, H. (1997), A dtsR gene-disrupted mutant of Brevibacterium lactofermentum requires fatty acids for growth and efficiently produces L-glutamate in the presence of an excess of biotin. Biochemical and Biophysical Research Communications, 234:157-161 175. Kimura, E.; Yagoshi, C.; Kawahara, Y.; Ohsumi, T.; Nakamatsu, T. and Tokuda, H. (1999), Glutamate overproduction in Corynebacterium glutamate triggered by a decrease in the level of a complex comprising DtsR and a biotin-containing subunit. Bioscience, Biotechnology, and Biochemistry, 63:1274-1278. 176. Kimura, E. (2002a), Metabolic engineering of glutamate production. Advances in Biochemical Engineering/Biotechnology, 79:38-56. 177. Kimura, E. (2002b), Triggering mechanism of L-glutamate overproduction by DtsRl in coryneform bacteria. Journal of Bioscience and Bioengineering, 94:545551. 178. Kinoshita, S., Ukada, S. and Shimono, M. (1957), Studies on amino acid fermentation. I. Production of L-glutamic acid by various microorganisms. The Journal of General and Applied Microbiology, 3:193-205. 224 179. Kinoshita, S. and Nakayama, K. (1978), Amino acids. In: Economic Microbiology. Primary Products of Metabolism, Rose, A. H. (Editor), 209-261, Academic Press, New York. 180. Kinoshita, S. (1985), Glutamic acid bacteria. In: Biology of Industrial Microorganism, Demain, A. L and Solomon, A. A. (Editors), 115-142, Benjamin/Cumming Publishing Company, London. 181. Kinosita, K. and Tsong, T. Y. (1977), Formation and resealing of pores of controlled sizes in human erythrocyte membranes. Nature, 268:438-443. 182. Kiss, R. D. and Stephanopoulos, G. (1991), Metabolic activity control of the Llysine fermentation by restrained growth fed-batch strategies. Biotechnology Progress, 7:501-509. 183. Kiss, R. D. and Stephanopoulos, G. (1992), Metabolic characterization of a Llysine-producing strain by continuous culture. Biotechnology and Bioengineering, 39:565-574. 184. Klenchin, V. A.; Sukharev, S. I.; Serov, S. M.; Chernomordik, L. V. and Chizmadzhev, Y. A. (1991), Electrically induced DNA uptake by cells is a fast process involving DNA electrophoresis. Biophysical Journal, 60:804-811. 185. Koch, A. L. (1983), The surface stress theory of microbial morphogenesis. Advances in Microbial Physiology, 24:301-366. 186. Komatsu, Y. (1979), Complete lysis of glutamic-acid producing bacteria by the use of antibiotics which inhibit the biosynthesis of cell walls. Journal of General Microbiology, 113:407-408. 187. Komatsubara, S.; Kisumi, M. and Chibata, I. (1983), Threonine production by ethionine-resistant mutants of Serratia marcescens. Applied and Environmental Microbiology, 45:1437-1444. 188. Koo, S. P.; Higgins, C. F. and Booth, I. R. (1991), Regulation of compatible solute accumulation in Salmonella typhimurium. evidence for a glycine betaine efflux system. Journal of General Microbiology, 137:2617-2625. 189. Kotnik, T.; Macek-Lebar, A.; Miklavcic, D. and Mir, L. M. (2000), Evaluation of cell membrane electropermeabilization by means of a nonpermeant cytotoxic agent. BioTechniques, 28:921-926. 225 190. Kramer, R. and Lambert, C. (1990), Uptake of glutamate in Corynebacterium glutamicum. 2. Evidence for a primary active transport system. European Journal of Biochemistry, 194:937-944. 191. Kramer, R. (1994), Secretion of amino acids by bacteria: Physiology and mechanism. FEMS Microbiology Reviews, 13:75-94. 192. Kramer, R. (1996), Genetic and physiological approaches for the production of amino acids. Journal of Biotechnology, 45:1-21. 193. Kramer, R. (2004), Production of amino acids: Physiological and genetic approaches. Food Biotechnology, 18:171-216. 194. Kronemeyer, W.; Peekhaus, N.; Kramer, R.; Sahm, H and Eggeling, L. (1995), Structure of the gluABCD cluster encoding the glutamate uptake system of Corynebacterium glutamicum. Journal of Bacteriology, 177:1152-1158. 195. Kross, J.; Henner, W. D.; Hecht, S. M. and Haseltine, W. A. (1982), Specificity of deoxyribonucleic acid cleavage by Bleomycin, phleomycin, and tallysomycin. Biochemistry, 21:4310-4318. 196. Kurusu, Y.; Kainuma, M.; Inui, M.; Satoh, Y. and Yukawa, H. (1990), Electroporation-transformation system for coryneform bacteria by auxotrophic complementation. Agricultural and Biological Chemistry, 54:443-447. 197. Kwong, S. C. and Rao, G. (1991), Utility of culture redox potential for identifying metabolic state changes in amino acid fermentation. Biotechnology and Bioengineering, 38:1034-1040. 198. Lamark, T.; Styrvold, O. B. and Strom, A. R. (1992), Efflux of choline and glycine betaine from osmoregulating cells of Escherichia coli. FEMS Microbiology Letters, 96:149-154. 199. Lambert, H.; Pankov, R.; Gauthier, J. Hancock, R. (1990), Electroporationmediated uptake of proteins into mammalian cells. Biochemistry and Cell Biology, 68:729-734. 200. Lambert, C.; Erdmann, A.; Eikmanns, M. and Kramer, R. (1995), Triggering glutamate excretion in Corynebacterium glutamicum by modulating the membrane state with local anesthetics and osmotic gradients. Applied and Environmental Microbiology, 61:4334-4342. 226 201. Lapujade, P.; Goergen, J-L. and Engasser, J-M (1999), Glutamate excretion as a major kinetic bottleneck for the thermally triggered production of glutamic acid by Corynebacterium glutamicum. Metabolic Engineering, 1:255-261. 202. Lechevalier, M. P. and Lechevalier, H. A. (1970), Chemical composition as a criterion in the classification of aerobic actinomycetes. International Journal of Systematic Bacteriology, 20:435-443. 203. Lee, R. E.; Armour, J. W.; Takayama, K.; Brennan, P. J. and Besra, G. S. (1997), Mycolic acid biosynthesis: definition and targeting of the Claisen condensation step. Biochimica et Biophysica Acta (BBA) - Lipids and Lipids Metabolism, 1346:275-284. 204. Leuchtenberger, W. (1996), Amino acids-technical production and use, In: Biotechnology; Products of Primary Metabolism, Rehm, H. J.; Reed, G.; Puhler, A. and Stadler, P. (Editors), 465-502, Wiley-VCH. 205. Leyval, D.; Debay, F.; Engasser, J. M. and Goergen, J. L. (1997), Flow cytometry for the intracellular pH measurement of glutamate producing Corynebacterium glutamicum. Journal of Microbiological Methods, 29:121-127. 206. Li, L. H.; Shivakumar, R.; Feller, S.; Allen, C.; Weiss, J. M.; Dzekunov, S.; Singh, V.; Holaday, J.; Fratantoni, J. and Liu, L. N. (2002), Highly efficient, large volume flow electroporation. Technology in Cancer Research & Treatment, 1:341-350. 207. Lichtinger, T.; Burkovski, A.; Niederweis, M.; Kramer, R. and Benz, R. (1998), Biochemical and biophysical characterization of the cell wall porin of Corynebacterium glutamicum: the channel is formed by a low molecular mass polypeptide. Biochemistry, 37:15024-15032. 208. Lichtinger, T.; Rieß, F. G.; Burkovski, A; Engelbrecht, F; Hesse, D; Kratzin, H. D.; Kramer, R. and Benz, R. (2001), The low-molecular-mass subunit of the cell wall channel of the Gram-positive Corynebacterium glutamicum: Immunological localization, cloning and sequencing of its gene porA. FEBS Journal, 268:462-469. 209. Liebl, W.; Bayerl, A.; Schein, B.; Stillner, U. and Schleifer, K. H. (1989), High efficiency electroporation of intact Corynebacterium glutamicum cells. FEMS Microbiology Letters, 65:299-304. 227 210. Liebl, W.; Ehrmann, M.; Ludwig, W. and Schleifer, K. H. (1991), Transfer of Brevibacterium divaricatum DSM 20297T, "Brevibacterium flavum" DSM 20411, "Brevibacterium lactofermentum" DSM 20412 and DSM 1412, and Corynebacterium glutamicum and their distinction by rRNA gene restriction patterns. International Journal of Systematic Bacteriology, 41:255-260. 211. Liebl, W. (1992), The genus Corynebacterium non-medical. In: The Prokaryotes. A Handbook on the Biology of Bacteria, Ecophysiology, Isolation, Identification, Applications, Balows, A.; Truper, H. G.; Dworkin, M.; Harder, W. and Schleifer, K. H. (Editors), 1157-1171, Springer, New York. 212. Lopez, A.; Rols, M. P. and Teissie, J. (1988), 31 P NMR analysis of membrane phospholipid organization in viable, reversibly electropermeabilized Chinese hamster ovary cells. Biochemistry, 27:1222-1228. 213. Lucht, J. M. and Bremer, E. (1994), Adaptation of Escherichia coli to high osmolarity environments: osmoregulation of the high-affinity glycine betaine transport system proU. FEMS Microbiology Reviews, 14:3-20. 214. Madigan, M. and Martinko, J. (2005), Brock Biology of Microorganisms. Prentice Hall. 215. Marienfeld, S.; Uhlemann, E. M.; Schmid, R.; Kramer, R. and Burkovski. A. (1997), Ultrastructure of the Corynebacterium glutamicum cell wall. Antonie Van Leeuwenhoek, 72:291-297. 216. Marquet, M.; Uribelarrea, J. L.; Huchenq, A.; Laneele, G. and Goma, G. (1986), Glutamate excretion by Corynebacterium glutamicum: a study of glutamate accumulation during a fermentation course. Applied Microbiology and Biotechnology, 25:220-223. 217. Marx, A.; de Graaf, A.; Wiechert, W.; Eggeling, L. and Sahm, H. (1996), Determination of the fluxes in the central metabolism of Corynebacterium glutamicum by nuclear magnetic resonance spectroscopy combined with metabolite balancing. Biotechnology and Bioengineering, 49:111-129. 218. McIntyre, D. A. and Harlander, S. K. (1989a), Genetic transformation of intact Lactococcus lactis subsp. lactis by high-voltage electroporation. Applied and Environmental Microbiology, 55:604-610. 228 219. McIntyre, D. A. and Harlander, S. K. (1989b), Improved electroporation efficiency of intact Lactococcus lactis subsp. lactis cells grown in defined media. Applied and Environmental Microbiology, 55:2621-2626. 220. Meier-Wagner, J.; Nolden, L.; Jakoby, M.; Siewe, R.; Kramer, R. and Burkovski, A. (2001), Multiplicity of ammonium uptake systems in Corynebacterium glutamicum: role of Amt and AmtB. Microbiology, 147:135-143. 221. Meilhoc, E.; Masson, J-M. and Teissie, J. (1990), High efficiency transformation of intact yeast cells by electric field pulses. Biotechnology, 8:223-227. 222. Mercenier, A. and Chassy, B. M. (1988), Strategies for the development of bacterial transformation systems. Biochimie, 70:503-517. 223. Miguelez, E. and Gilmour, D. J. (1994), Regulation of cell volume in the salt tolerant bacterium Halomonas elongata. Letters in Applied Microbiology, 19:363365. 224. Miller, J. F.; Dower, W. J. and Tompkins, L. S. (1988), High-voltage electroporation of bacteria: genetic transformation of Campylobacter jejuni with plasmid DNA. Proceedings of the National Academy of Sciences USA, 85:856860. 225. Mir, L. M.; Banoun, H. and Paoletti, C. (1988), Introduction of definite amounts of nonpermeant molecules into living cells after electropermeabilization: direct access to the cytosol. Experimental Cell Research, 175:15-25. 226. Mir, L.; Orlowski, S.; Belehradek, J. Jr. and Paolelli, C. (1991), Electrochemotherapy: Potentiation of antitumor effect of Bleomycin by electric pulses. European Journal of Cancer, 27:68-72. 227. Mir, L. M.; Tounekti, O. and Orlowski, S. (1996), Bleomycin: revival of an old drug. General Pharmacology, 27:745-748. 228. Mir, L. M. and Orlowski, S. (1999), Mechanisms of electrochemotherapy. Advanced Drug Delivery Reviews, 35:107-118. 229. Mir, L. M.; Bureau, M. F.; Gehl, J.; Rangara, R.; Rouyi, D.; Caillaud, J. M.; Delaere, P.; Branelleci, D.; Schwartz, B. and Scherman, D. (1999), High-efficiency gene transfer into skeletal muscle mediated by electric pulses. Proceedings of the National Academy of Sciences USA, 96:4262-4267. 229 230. Mir, L. M. (2000), Therapeutic perspectives of in vivo cell electropermeabilization. Bioelectrochemistry, 53:1-10. 231. Morbach, S. and Kramer, R. (2002), Body shaping under water stress: osmosensing and osmoregulation in bacteria. Chembiochemistry, 3:384-397. 232. Morbach, S. and Kramer, R. (2003), Impact of transport processes in the osmotic response of Corynebacterium glutamicum. Journal of Biotechnology, 104:69-75. 233. Motoyama, H.; Yano, H.; Ishino, S.; Anazawa, H. and Teshiba, S. (1994), Effects of the amplification of the genes coding for the L-threonine biosynthetic enzymes on the L-threonine production from methanol by a Gram-negative obligate methylotroph, Methylobacillus glycogenes. Applied Microbiology and Biotechnology, 42:67-72. 234. Motoyama, H.; Yano, H.; Terasaki, Y. and Anazawa, H. (2001), Overproduction of L-Lysine from methanol by Methylobacillus glycogenes derivatives carrying a plasmid with a mutated dapA gene. Applied and Environmental Microbiology, 67:3064-3070. 235. Mueller, U. and Huebner, S. (2002), Economic aspects of amino acids production. Advances in Biochemical Engineering/Biotechnology, 79:137-170. 236. Muller, K. J.; Sukhorukov, V. L. and Zimmermann, U. (2001), Reversible electropermeabilization of mammalian cells by high-intensity, ultra-short pulses of submicrosecond duration. The Journal of Membrane Biology, 184:161-170. 237. Muraji, M.; Tatebe, W.; Konishi, T.; Fuji T.; Berg, H. (1993), Effect of electrical energy on the electropermeabilization of yeast cells. Bioelectrochemistry and Bioenergetics, 31:77-84. 238. Muraji, M.; Tatebe, W. and Berg, H. (1998), The influence of extracellular alkali and alkaline-earth ions on electropermeabilization of Saccharomyces cerevisiae. Bioelectrochemistry and Bioenergetics, 46:293-295. 239. Naji, B.; Gehin, G. and Bonaly, R. (2000), Structure of surfactants and glutamate efflux by Corynebacterium glutamicum. Process Biochemistry, 35:759-764. 240. Nakayama, K.; Kitada, S. and Kinoshita, S. (1961), Studies on lysine fermentation I. The control mechanism on lysine accumulation by homoserine and threonine. The Journal of General and Applied Microbiology, 7:145-154. 230 241. Nampoothiri, M. and Pandey, A. (1998), Genetic tuning of coryneform bacteria for the overproduction of amino acids. Process Biochemistry, 33:147-161. 242. Nampoothiri, K. M.; Hoischen, C.; Bathe, B.; Mockel, B.; Pfefferle, W.; Krumbach, K.; Sahm, H. and Eggeling, L. (2002), Expression of genes of lipid synthesis and altered lipid composition modulates L-glutamate efflux of Corynebacterium glutamicum. Applied Microbiology and Biotechnology, 58:89-96. 243. Nanda, G. S. and Mishra, K. P. (1994), Studies on electroporation of thermally and chemically treated human erythrocytes. Bioelectrochemistry and Bioenergetics, 34:129-134. 244. Nebe-von Caron, G.; Stephens, P. and Badley, R. A. (1998), Assessment of bacterial viability status by flow cytometry and single cell sorting. Journal of Applied Microbiology, 84:988-998. 245. Neumann, E.; Schaefer-Ridder, M.; Wang, Y. and Hofschneider, P. (1982), Gene transfer into mouse lymphoma cells by electroporation in high electric fields. The EMBO Journal, 1:841-845. 246. Neumann, E.; Sowers, A. E. and Jordan, C. A. (1989), Electroporation and Electrofusion in Cell Biology. Plenum Press, New York. 247. Nickoloff, J. A. (1995), Animal Cell Electroporation and Electrofusion Protocols. Humana Press, Totowa, NJ. 248. Niederweis, M.; Maier, E.; Lichtinger, T.; Benz, R. and Kramer, R. (1995), Identification of channel forming activity in the cell wall Corynebacterium glutamicum. Journal of Bacteriology, 177:5716-5718. 249. Nielsen, J. (2001), Metabolic Engineering. Applied Microbiology and Biotechnology, 55:263-283. 250. Nikaido, H. (1994), Prevention of drug access to bacterial targets: permeability barriers and active efflux. Science, 264:382-388. 251. Nolden, L.; Farwick, M.; Kramer, R. and Burkovski, A. (2001a), Glutamine synthetases of Corynebacterium glutamicum: transcriptional control and regulation of activity. FEMS Microbiology Letters, 201:91-98. 231 252. Nolden, L.; Ngouoto-Nkili, C. E.; Bendt, A. K.; Kramer, R. and Burkovski, A. (2001b), Sensing nitrogen limitation in Corynebacterium glutamicum: The role of glnK and glnD. Molecular Microbiology, 42:1281-1296. 253. Ohshima, T.; Sato, M. and Saito, M. (1995), Selective release of intracellular protein using pulsed electric field. Journal of Electrostatics, 35:103-112. 254. Ohshima, T.; Sato, K.; Terauchi, H. and Sato, M. (1997), Physical and chemical modifications of high-voltage pulse sterilization. Journal of Electrostatics, 42:159166. 255. Ohshima, T.; Ono, T. and Sato, M. (1999), Decomposition of nucleic acid molecules in pulsed electric field and its release from recombinant Escherichia coli. Journal of Electrostatics, 46:163-170. 256. Ohshima, T.; Hama, Y. and Sato, M. (2000), Releasing profiles of gene products from recombinant Escherichia coli in a high-voltage pulsed electric field. Biochemical Engineering Journal, 5:149-155. 257. Ohshima, T.; Okuyama, K. and Sato, M (2002), Effect of culture temperature on high-voltage pulse sterilization of Escherichia coli. Journal of Electrostatics, 55:227-235. 258. Ohshima, T. and Sato, M. (2004), Bacterial sterilization and intracellular protein release by a pulsed electric field. Recent Progress of Biochemical and Biomedical Engineering in Japan I. Advances in Biochemical Engineering/Biotechnology, 90:113-133. 259. Okazaki, H.; Kanzaki, T.; Doi, M.; Sumino, Y. and Fukuda, H. (1967), L-Glutamic acid fermentation. II. The production of L-glutamic acid by an oleic-acid requiring mutant. Agricultural and Biological Chemistry, 31:1314-1317. 260. Okino, M. and Mohri, H. (1987), Effects of a high-voltage electrical impulse and an anticancer drug on in vivo growing tumors. Japanese Journal of Cancer Research, 78:1319-1321. 261. Orlowski, S.; Belehradek, J. Jr.; Paoletti, C.; and Mir, L. M. (1988), Transient electropermeabilization of cells in culture: increase of the cytotoxicity of anticancer drugs. Biochemical Pharmacology, 37:4727-4733. 232 262. Orlowski, S. and Mir, L. M. (1993), Cell electropermeabilization: a new tool for biochemical and pharmacological studies. Biochimica et Biophysica Acta (BBA) Reviews on Biomembranes, 1154:51-63. 263. Parekh, S.; Vinci, V. A. and Strobel, R. J. (2000), Improvement of microbial strains and fermentation processes. Applied Microbiology and Biotechnology, 54:287-301. 264. Park, S. M.; Shaw-Reid, C.; Sinskey, A. J. and Stephanopoulos, G. (1997), Elucidation of anaplerotic pathways in Corynebacterium glutamicum via 13C-NMR spectroscopy and GC-MS. Applied Microbiology and Biotechnology, 47:430-440. 265. Pavlin, M.; Pavselj, N. and Miklavcic, D. (2002), Dependence of induced transmembrane potential on cell density, arrangement, and cell position inside a cell system. IEEE Transactions on Biomedical Engineering, 49:605-612. 266. Peter, H.; Burkovski, A. and Kramer, R. (1996), Isolation, characterization, and expression of the Corynebacterium glutamicum betP gene, encoding the transport system for the compatible solute glycine betaine. Journal of Bacteriology, 178:5229-5234. 267. Peter, H.; Bader, A.; Burkovski, A.; Lambert, C. and Kramer, R. (1997), Isolation of the putP gene of Corynebacterium glutamicum and characterization of a lowaffinity uptake system for compatible solutes. Archives of Microbiology, 168:143151. 268. Peter, H.; Weil, B.; Burkovski, A.; Kramer, R. and Morbach, S. (1998), Corynebacterium glutamicum is equipped with four secondary carriers for compatible solutes: identification, sequencing, and characterization of the proline/ectoine uptake system ProP and the ectoine/proline/glycine betaine carrier EctP. Journal of Bacteriology, 180:6005-6012. 269. Petersen, S.; de Graaf, A. A.; Eggeling, L.; Mollney, M.; Wiechert, W. and Sahm, H. (2000), In vivo quantification of parallel and bidirectional fluxes in the anaplerosis of Corynebacterium glutamicum. The Journal of Biological Chemistry, 275:35932-35941. 270. Petersen, S.; Mack, C.; de Graaf, A. A.; Riedel, C.; Eikmanns, B. J. and Sahm, H. (2001), Metabolic consequences of altered phosphoenolpyruvate carboxykinase 233 activity in Corynebacterium glutamicum reveal anaplerotic regulation mechanisms in vivo. Metabolic Engineering, 3:344-361. 271. Peters-Wendisch, P. G.; Eikmanns, B. J.; Thierbach, G.; Bachmann, B. and Sahm, H. (1993), Phosphoenolpyruvate carboxylase in Corynebacterium glutamicum is dispensable for growth and lysine production. FEMS Microbiology Letters, 112:269-274. 272. Peters-Wendisch, P. G.; Wendisch, V. F.; de Graaf, A. A.; Eikmanns, B. J. and Sahm, H. (1996), phosphoenolpyruvate C3-carboxylation as carboxylase-deficient an anaplerotic Corynebacterium reaction in glutamicum. Archives of Microbiology, 165:387-396. 273. Peters-Wendisch, P. G.; Wendisch, V. F.; Paul, S.; Eikmanns, B. J. and Sahm, H. (1997), Pyruvate carboxylase as an anaplerotic enzyme in Corynebacterium glutamicum. Microbiology, 143:1095-1103. 274. Peters-Wendisch, P. G.; Kreutzer, C.; Kalinowski, J.; Patek, M.; Sahm, H. and Eikmanns, B. J. (1998), Pyruvate carboxylase from Corynebacterium glutamicum: characterization, expression and inactivation of the pyc gene. Microbiology, 144:915-927. 275. Peters-Wendisch, P. G.; Schiel, B.; Wendisch, V. F.; Katsoulidis, E.; Mockel, B.; Sahm, H. and Eikmanns, B. J. (2001), Pyruvate carboxylase is a major bottleneck for glutamate and lysine production by Corynebacterium glutamicum. Journal of Molecular Microbiology and Biotechnology, 3:295-300. 276. Poolman, B. and Glaasker, E. (1998), Regulation of compatible solute accumulation in bacteria. Molecular Microbiology, 29:397-407. 277. Potter, H. (1993), Application of electroporation in recombination DNA technology. Methods in Enzymology, 217:461-478. 278. Prasanna, G. L. and Panda, T. (1997), Electroporation: basic principles, practical considerations and application in molecular biology. Bioprocess and Biosystem Engineering, 16:261-264. 279. Prausnitz, M. R.; Corbett, J. D.; Gimm, J. A.; Golan, D. E.; Langer, R. and Weaver, J. C. (1995), Millisecond measurement of transport during and after an electroporation pulse. Biophysical Journal, 68:1864-1870. 234 280. Pron, G.; Mahrour, N.; Orlowski, S.; Tounekti, O.; Poddevin, B.; Belehradek, J. Jr. and Mir, L. M. (1999), Internalisation of the Bleomycin molecules responsible for Bleomycin cytotoxicity: a receptor-mediated endocytosis mechanism. Biochemical Pharmacology, 57:45-56. 281. Puc, M.; Kotnik T.; Mir, L. M and Miklavcic, D. (2003), Quantitative model of small molecules uptake after in vitro cell electropermeabilization. Bioelectrochemistry, 60:1-10. 282. Puc, M.; Corovic, S.; Flisar, K.; Petkovsek, M.; Nastran, J. and Miklavcic, D (2004), Techniques of signal generation required for electropermeabilization: Survey of electropermeabilization devices. Bioelectrochemistry, 64:113-124. 283. Pucihar, G.; Kotnik, T.; Kanduser, M. and Miklavcic, D. (2001), The influence of medium conductivity on electropermeabilization and survival of cells in vitro. Bioelectrochemistry, 54:107-115. 284. Pucihar, G.; Kotnik, T.; Teissie, J. and Miklavcic, D. (2007), Electropermeabilization of dense cell suspensions. European Biophysics Journal, 36:173-185. 285. Puech, V.; Bayan, N.; Salim, K.; Leblon, G. and Daffe, M. (2000), Characterization of the in vivo acceptors of the mycoloyl residues transferred by the corynebacterial PS1 and the related mycobacterial antigens 85. Molecular Microbiology, 35:10261041. 286. Puech, V.; Chami, M.; Lemassu, A.; Laneelle, M. A.; Schiffler, B.; Gounon, P.; Bayan, N.; Benz, R. and Daffe, M. (2001), Structure of the cell envelope of corynebacteria: importance of the non-covalently bound lipids in the formation of the cell wall permeability barrier and fracture plane. Microbiology, 147:1365-1382. 287. Quada, J. C.; Jr., Zuber, G. F. and Hecht, S. M. (1998), Interaction of Bleomycin with DNA. Pure and Applied Chemistry, 70:307-311. 288. Rabussay, D.; Dev, N. B.; Fewell, J.; Smith, L. C.; Widera, G. and Zhang, L. (2003), Enhancement of therapeutic drug and DNA delivery into cells by electroporation. Journal of Physics D: Applied Physics, 36:348-363. 289. Radmacher, E.; Stansen, K. C.; Besra, G. S.; Alderwick, L. J.; Maughan, W. N.; Hollweg, G.; Sahm, H.; Wendisch, V. F. and Eggeling, L. (2005), Ethambutol, a 235 cell wall inhibitor of Mycobacterium tuberculosis, elicits L-glutamate efflux of Corynebacterium glutamicum. Microbiology, 151:1359-1368. 290. Record, M. T.; Courtenay, E. S.; Cayley, D. S. and Guttman, H. J. (1998), Responses of E. coli to osmotic stress: large changes in amounts of cytoplasmic solutes and water. Trends in Biochemical Sciences, 23:143-148. 291. Riedel, C.; Rittmann, D.; Dangel, P.; Möckel, B.; Petersen, S.; Sahm, H. and Eikmanns, B. J. (2001), Characterization of the phosphoenolpyruvate carboxykinase gene from Corynebacterium glutamicum and significance of the enzyme for growth and amino acid production. Journal of Molecular Microbiology and Biotechnology, 3:573-583. 292. Riedel, K. and Lehne, A. (2007), Identification of proteins involved in osmotic stress response in Enterobacter sakazakii by proteomics. Proteomics, 7:1217-1231. 293. Riggs, C. D. and Bates, G. W. (1986), Stable transformation of tobacco by electroporation-evidence for plasmid concatenation. Proceedings of the National Academy of Sciences USA, 83:5602-5606. 294. Rols, M. P. and Teissie, J. (1989), Ionic strength modulation of electrically induced permeabilization and associate fusion of mammalian cells. European Journal of Biochemistry, 179:109-115. 295. Rols, M. P. and Teissie, J. (1990a), Modulation of electrically induced permeabilization and fusion of Chinese hamster ovary cells by osmotic pressure. Biochemistry, 29:4561-4567. 296. Rols, M. P. and Teissie, J. (1990b), Electropermeabilization of mammalian cells: quantitative analysis of the phenomenon. Biophysical Journal, 58:1089-1098. 297. Rols, M. P.; Dahjhou, F.; Mishra, K. P. and Teissie, J. (1990), Control of electric field induced cell membrane permeabilization by membrane order. Biochemistry, 29:1260-1269. 298. Rols, M. P.; Coulet, D. and Teissie, J. (1992), Highly efficient transfection of mammalian cells by electric field pulses. Application to large volumes of cell culture by using a flow system. European Journal of Biochemistry, 206:115-121. 299. Rols, M. P.; Delteil, C.; Serin, G. and Teissie, J. (1994), Temperature effects on electrotransfection of mammalian cells. Nucleic Acids Research, 22:540. 236 300. Rols, M. P. and Teissie, J. (1998), Electropermeabilization of mammalian cells to macromolecules: control by pulse duration. Biophysical Journal, 75:1415-1423. 301. Rols, M. P. (2006), Electropermeabilization, a physical method for the delivery of therapeutic molecules into cells. Biochimica et Biophysica Acta (BBA) Biomembranes, 1758:423-428. 302. Ronsch, H.; Kramer, R. and Morbach, S. (2003), Impact of osmotic stress on volume regulation, cytoplasmic solute composition and lysine production in Corynebacterium glutamicum MH20-22B. Journal of Biotechnology, 104:87-97. 303. Roth, B. L.; Poot, M.; Yue, S. T. and Millard, P. J. (1997), Bacterial viability and antibiotic susceptibility testing with SYTOX green nucleic acid stain. Applied and Environmental Microbiology, 63:2421-2431. 304. Ruffert, S.; Lambert, C.; Peter, H.; Wendisch, V. F. and Kramer, R. (1997), Efflux of compatible solutes in Corynebacterium glutamicum mediated by osmoregulated channel activity. European Journal of Biochemistry, 247:572-580. 305. Ryttsen, F.; Farre, C.; Brennan, C.; Weber, S. G.; Nolkrantz, K.; Jardemark, K.; Chiu, D. T. and Orwar, O. (2000), Characterization of single-cell electroporation by using patch-clamp and fluorescence microscopy. Biophysical Journal, 79:19932001. 306. Sahm, H., Eggeling, L., Eikmanns, B., and Kramer, R. (1995) Metabolic design in amino acid producing bacterium Corynebacterium glutamicum. FEMS Microbiology Reviews, 16:243-252 307. Sahm, H.; Eggeling, L. and de Graaf, A. A. (2000), Pathway analysis and metabolic engineering in Corynebacterium glutamicum. Biological Chemistry, 381:899-910. 308. Saier, M. H Jr. and Reizer, J. (1992), Proposed uniform nomenclature for the proteins and protein domains of the bacterial phosphoenolpyruvate: sugar phosphotransferase system. Journal of Bacteriology, 174:1433-1438. 309. Sassi, A. H.; Deschamps, A. M. and Lebeault, J. M. (1996), Process analysis of Llysine fermentation with Corynebacterium glutamicum under different oxygen and carbon dioxide supplies and redox potentials. Process Biochemistry, 31:493-497. 237 310. Sassi, A. H.; Fauvart, L.; Deschamps, A. M. and Lebeault, J. M. (1998), Fed-batch production of L-lysine by Corynebacterium glutamicum. Biochemical Engineering Journal, 1:85-90. 311. Satkauskas, S.; Bureau, M. F.; Puc, M.; Mahfoudi, A.; Scherman, D.; Miklavcic, D. and Mir, L. M. (2002), Mechanisms of in vivo DNA electrotransfer: respective contributions of cell electropermeabilization and DNA electrophoresis. Molecular Therapy, 5:133-140. 312. Satoh, Y.; Hatakeyama, K.; Kohama, K.; Kobayashi, M.; Kurusu, Y. and Yukawa, H. (1990), Electrotransformation of intact cells of Brevibacterium flavum MJ-233. Journal of Industrial Microbiology and Biotechnology, 5:159-166. 313. Schenk, S and Laddaga, R. A. (1992), Improved method for electroporation of Staphylococcus aureus. FEMS Microbiology Letter, 94:133-138. 314. Schleifer, K. H. and Kandler, O. (1972), Peptidoglycan types of bacterial cell walls and their taxonomic implications. Bacteriological Reviews, 36:407-477. 315. Schoenbach, K. H.; Joshi, R. P.; Stark, R. H.; Dobbs, F. C. and Beebe, S. J. (2000), Bacterial decontamination of liquids with pulsed electric fields. IEEE Transactions on Dielectrics and Electrical Insulation, 7:637-645. 316. Schulz, A. A.; Collett, H. J. and Reid, S. J. (2001), Nitrogen and carbon regulation of glutamine synthetase and glutamate synthase in Corynebacterium glutamicum ATCC 13031. FEMS Microbiology Letters, 205:361-367. 317. Shah, A. H.; Hameed, A.; Ahmad, S. and Khan, G M. (2002), Optimization of culture conditions for L-lysine fermentation by Corynebacterium glutamicum. OnLine Journal of Biological Sciences, 2:151-156. 318. Shapiro, H. M. (1995), Practical Flow Cytometry, Wiley-Liss, Inc., New York. 319. Shiio, I.; Otsuka, S. I. and Takahashi, M. (1962), Effect of biotin on the bacterial formation of glutamic acid: glutamate formation and cellular permeability of amino acids. Journal of Biochemistry (Tokyo), 51:56-62. 320. Shiio, I.; Otsuka, S. I. and Katsuya, N. (1963), Cellular permeability and extracellular formation of glutamic acid in Brevibacterium lactofermentum. Journal of Biochemistry (Tokyo), 53:333-340. 238 321. Shiio, I. and Ujigawa, K. (1978), Enzymes of the glutamate and aspartate synthetic pathways in a glutamate-producing bacterium, Brevibacterium flavum. The Journal of Biochemistry (Tokyo), 84:647-657. 322. Shiio, I.; Ozaki, H. and Mori, M. (1982), Glutamate metabolism in a glutamateproducing bacterium, Brevibacterium flavum. Agricultural and Biological Chemistry, 46:493-500. 323. Shimizu, H.; Tanaka, H.; Nakato, A.; Nagahisa, K.; Kimura, E. and Shioya, S. (2003), Effects of the changes in enzyme activities on metabolic flux redistribution around the 2-oxoglutarate branch in glutamate production by Corynebacterium glutamicum. Bioprocess and Biosystems Engineering, 25:291-298. 324. Shingu, H. and Terui, G. (1971), Studies on the process of glutamic acid fermentation at the enzyme level: I. On the changes of α-ketoglutaric acid dehydrogenase in the course of culture. Journal of Fermentation Technology, 49: 400-405. 325. Shiratsuchi, M.; Kuronuma, H.; Kawahara, Y.; Yoshihara, Y.; Miwa, H. and Nakamori, S. (1995), Simultaneous and high fermentative production of L-lysine and L-glutamic acid using a strain of Brevibacterium lactofermentum. Bioscience, Biotechnology, and Biochemistry, 59:83-86. 326. Siewe, R. M.; Weil, B. and Kramer, R. (1995), Glutamine uptake by a sodiumdependent secondary transport system. Archives of Microbiology, 164:98-103. 327. Siewe, R. M.; Weil, B.; Burkovski, A.; Eikmanns, M. and Kramer, R. (1996), Functional and genetic characterization of the (Methyl) ammonium uptake carrier of Corynebacterium glutamicum. The Journal of Biological Chemistry, 271:53985403. 328. Siewe, R. M.; Weil, B.; Burkovski, A.; Eggeling, L.; Kramer, R. and Jahns, T. (1998), Urea uptake and urease activity in Corynebacterium glutamicum. Archives of Microbiology, 169:411-416. 329. Simpson, R. K.; Whittington, R.; Earnshaw, R. G.; and Russel, N. J. (1999), Pulsed high electric field causes ‘all or nothing’ membrane damage in Listeria monocytogenes and Salmonella typhimurium, but membrane H+-ATPase is not a primary target. International Journal of Food Microbiology 48:1-10. 239 330. Sixou, S.; Eynard, N.; Escoubas, J. M.; Werner, E. and Teissie, J. (1991), Optimized conditions for electrotransformation of bacteria related to the extent of electropermeabilization. Biochimica et Biophysica Acta (BBA) - Gene Structure and Expression, 1088:135-138. 331. Sixou, S. and Teissie, J. (1993), Exogenous uptake and release of molecules by electroloaded cells: a digitized electron microscopy study. Bioelectrochemistry and Bioenergetics, 31:237-257. 332. Skjerdal, O. T.; Sletta, H.; Flenstad, S. G.; Josefsen, K. D.; Levine, D. W. and Ellingsen, T. E. (1995), Changes in cell volume, growth and respiration rate in response to hyperosmotic stress of NaCl, sucrose and glutamic acid in Brevibacterium lactofermentum and Corynebacterium glutamicum. Applied Microbiology and Biotechnology, 43:1099-1106. 333. Smith, L. C. and Nordstrom, J. L. (2000), Advances in plasmid gene delivery and expression in skeletal muscle. Current Opinion in Molecular Therapeutics, 2:150154. 334. Somiari, S.; Glasspool-Malone, J.; Drabick, J. J.; Gilbert, R. A.; Heller, R.; Jaroszeski, M. J. and Malone, R. W. (2000), Theory and in vivo application of electroporative gene delivery. Molecular Therapy, 2:178-187. 335. Sonntag, K.; Schwinde, J.; de Graaf, A. A.; Marx, A.; Eikmanns, B. J.; Wiechert, W. and Sahm, H. (1995), 13C NMR studies of the fluxes in the central metabolism of Corynebacterium glutamicum during growth and overproduction of amino acids in batch cultures. Applied Microbiology and Biotechnology, 44: 489-495. 336. Sowers, A. E. (1986), A long lived fusogenic state is induced in erythrocytes ghosts by electric pulses. The Journal of Cell Biology, 102:1358-1362. 337. Sowers, A. E. (1992), Mechanisms of electroporation and electrofusion. In: Guide to Electroporation and Electrofusion, Sowers, A. E. (Editor), 119-138, Academic Press, Inc, California. 338. Stackebrandt, E.; Rainey, F. A. and Ward-Rainey, N. L. (1997), Proposal for a new hierarchic classification system, Actinobacteria classis nov. International Journal of Systematic Bacteriology, 47:479-491. 240 339. Stanbury, P. F., Whitaker, A. and Hall. S. (1998), Principles of Fermentation Technology, Butterworth-Heinemann. 340. Stephanopoulos, G.; Nielsen, J. and Aristidou, A. (1998), Metabolic Engineering. Academic Press, San Diego. 341. Stephanopoulos, G. (1999), Metabolic fluxes and metabolic engineering. Metabolic Engineering, 1:1-11. 342. Stillman, T. J.; Baker, P. J.; Britton, K. L. and Rice, D. W. (1993), Conformational flexibility in glutamate dehydrogenase role of water in substrate recognition and catalysis. Journal of Molecular Biology, 234:1131-1139. 343. Streit, W. R. and Entcheva, P. (2003), Biotin in microbes, the genes involved in its biosynthesis, its biochemical role and perspectives for biotechnological production. Applied Microbiology and Biotechnology, 61:21-31. 344. Stryer, L; Berg, J. M. and Tymoczko, J. L. (2002), Biochemistry. W.H. Freeman and Co Ltd, New York. 345. Suga, M.; Kusanagi, I. and Hatakeyama, T. (2003), High osmotic stress improves electrotransformation efficiency of fission yeast. FEMS Microbiology Letters, 225:235-239. 346. Suller, M. T. E. and Lloyd. D. (1999), Fluorescence monitoring of antibioticinduced bacterial damage using flow cytometry. Cytometry, 35:235-241. 347. Sung, H. A.; Tachiki, T.; Kumagai, H. and Tochikura, T. (1984), Production and preparation of glutamate synthase from Brevibacterium flavum. Journal of Fermentation Technology, 62:569-575. 348. Sung, H. A.; Tamaki, H.; Tachiki, T.; Kumagai, H. and Tochikura, T. (1985), Ammonia assimilation by glutamine synthase/glutamate synthase system in Brevibacterium flavum. Journal of Fermentation Technology, 63:5-10. 349. Suzuki, M.; Kaneko, T. and Komagata, K. (1981), Deoxyribonucleic acid homologies among coryneform bacteria. International Journal of Systematic Bacteriology, 31:131-138. 350. Takahashi, M.; Furukawa, T.; Saitoh, H.; Aoki, A.; Koike, T.; Moriyama, Y. and Shibata, A. (1991), Gene transfer into human leukaemia cell lines by 241 electroporation: Experience with exponentially decaying and square-wave pulse. Leukemia Research, 15:507-513. 351. Takayama, K.; Armstrong, E. L.; Kunugi, K. A. and Kilburn, J. O. (1979), Inhibition by ethambutol of mycolic acid transfer into the cell wall of Mycobacterium smegmatis. Antimicrobial Agents and Chemotherapy, 16:240-242. 352. Takinami, K, Yoshii, H.; Tsuji, H. and Okada, H. (1965), Biochemical effects of fatty acid and it’s derivatives on L-glutamic acid and the growth of Brevibacterium lactofermentum. Agricultural and Biological Chemistry, 29:351-359. 353. Takinami, K.; Yamada, Y. and Okada, H. (1966), Biochemical effects of fatty acids and its derivatives on L- glutamic acid fermentation. Biotin content of growing cells of Brevibacterium lactofermentum. Agricultural and Biological Chemistry, 30:674-682. 354. Takinami, K.; Yoshii, H.; Yamada, Y.; Okada, H. and Kinoshita, K. (1968), Control of L-glutamic acid fermentation by biotin and fatty acid. Amino Acid Nucleic Acid Research, 18:120-160. 355. Tardif, C.; Maamar, H.; Balfin, M. and Belaich, J. P. (2001), Electrotransformation studies in Clostridium cellulyticum. Journal of Industrial Microbiology and Biotechnology, 27:271-274. 356. Tatebe, W.; Muraji, M.; Fujii, T. and Berg H (1995), Re-examination of electropermeabilization on yeast cells: dependence on growth phase and ion concentration. Bioelectrochemistry and Bioenergetics, 38:149-152. 357. Tatsuya, Y.; Toshimasa, I.; Yoshio, K.; Yosuke, K. and Eiko, S. (1997), Method for producing L-glutamic acid by continuous fermentation. European Patent Application, EP0844308A2. 358. Teissie, J. and Tsong, T. Y. (1981), Electric field induced transient pores in phospholipid bilayer vesicles. Biochemistry, 20:1548-1554 359. Teissie, J. and Rols, M. P. (1986), Fusion of mammalian cells in culture is obtained by creating the contact between the cells after their electropermeabilization. Biochemical and Biophysical Research Communications, 140:258-266. 360. Teissie, J. and Rols, M. P. (1988), Electropermeabilization and electrofusion of cells. In: Dynamic of Membrane Proteins and Cellular Energetics, Latruffe, N.; 242 Gaudemer, Y.; Vignais, P. and Azzi, A. (Editors), 249-268, Springer Verlag, Berlin, Heidelberg, New York, London, Paris, Tokyo. 361. Teissie, J. and Rols, M. P. (1993), An experimental evaluation of the critical potential difference including cell membrane electropermeabilization. Biophysical Journal, 65:409-413. 362. Teissie, J.; Eynard, N.; Gabriel, B. and Rols, M. P. (1999), Electropermeabilization of cell membranes. Advanced Drug Delivery Reviews, 35:3-19. 363. Teissie, J.; Eynard, N.; Vernhes, M. C.; Benichou, A.; Ganeva, V.; Galutzov, B. and Cabanes, P. A. (2002), Recent biotechnological developments of electropulsation. A prospective review. Bioelectrochemistry, 55:107-112. 364. Teissie, J.; Golzio, M. and Rols, M. P. (2005), Mechanisms of cell membrane electropermeabilization: A minireview of our present (lack of?) knowledge. Biochimica et Biophysica Acta (BBA) - General Subjects, 1724:270-280. 365. Tekle, E.; Astumian, R. D. and Chock, P. B. (1990), Electropermeabilization of cell membranes: effect of the resting membrane potential. Biochemical and Biophysical Research Communications, 172:282-287. 366. Tekle, E.; Astumian, R. D. and Chock, P. B. (1994), Selective and asymmetric molecular transport across electroporated cell membranes. Proceedings of the National Academy of Sciences USA, 91:11512-11516. 367. Tesch, M.; Eikmanns, B. J.; de Graaf, A. A. and Sahm, H. (1998), Ammonia assimilation in Corynebacterium glutamicum and a glutamate dehydrogenasedeficient mutant. Biotechnology Letters, 20:953-957. 368. Tesch, M.; de Graaf, A. A. and Sahm, H. (1999), In vivo fluxes in the ammoniumassimilatory pathways in Corynebacterium glutamicum studied by 15 N nuclear magnetic resonance. Applied and Environmental Microbiology, 65:1099-1109. 369. Tomita, K.; Nakanishi, T. and Kuratsu, Y. (1992), Effect of osmotic strength on 5'inosinic acid fermentation in mutants of Corynebacterium ammoniagenes. Bioscience, Biotechnology, and Biochemistry, 56: 763-765. 370. Tryfona, T. and Bustard, M. T. (2005), Fermentative production of lysine by Corynebacterium glutamicum: transmembrane transport and metabolic flux analysis. Process Biochemistry, 40:499-508. 243 371. Tryfona, T. and Bustard, M. T. (2006), Enhancement of biomolecule transport by electroporation: A review of theory and practical application to transformation of Corynebacterium glutamicum. Biotechnology and Bioengineering, 93:413-423. 372. Tsong, T. Y. (1991), Electroporation of cell membranes. Biophysical Journal, 60:297-306. 373. Uy, D.; Delaunay, S.; Germain, P.; Engasser, J. M. and Goergen. J. L. (2003), Instability of glutamate production by Corynebacterium glutamicum 2262 in continuous culture using the temperature-triggered process. Journal of Biotechnology, 104:173-184. 374. Valic, B.; Golzio, M.; Pavlin, M.; Schatz, A.; Faurie, C.; Gabriel, B.; Teissie, J.; Rols, M. P. and Miklavcic, D. (2003), Effect on electric field induced transmembrane potential on spheroidal cells: theory and experiments. European Biophysics Journal, 32:519-528. 375. Vallino, J. J. and Stephanopoulos, G. (1993), Metabolic flux distributions in Corynebacterium glutamicum during growth and lysine overproduction. Biotechnology and Bioengineering, 41:633-646. 376. Vallino, J. J. and Stephanopoulos, G. (1994a), Carbon flux distributions at the pyruvate branch point in Corynebacterium glutamicum during lysine overproduction. Biotechnology Progress, 10:320-326. 377. Vallino, J. J. and Stephanopoulos, G. (1994b), Carbon flux distributions at the glucose 6-phosphate branch point in Corynebacterium glutamicum during lysine overproduction. Biotechnology Progress, 10:327-334. 378. Vega-Mercado, H.; Pothakamury, U. R.; Chang, F-J.; Barbosa-Cánovas, G. V. and Swanson, B. G. (1996), Inactivation of Escherichia coli by combining pH, ionic strength and pulsed electric fields hurdles. Food Research International 29:117121. 379. Vernhes, M. C.; Cabanes, P. A. and Teissie, J. (1999), Chinese hamster ovary cells sensitivity to localized electrical stresses. Bioelectrochemistry and Bioenergetics, 48:17-25. 244 380. Wards, B. J. and Collins, D. M. (1996), Electroporation at elevated temperatures substantially improves transformation efficiency of slow-growing mycobacteria. FEMS Microbiology Letters, 145:101-105. 381. Weaver, J. C. (1995), Electroporation theory, concepts and mechanisms, In: Nickoloff, J. A. (Editor). Methods in Molecular Biology, 55:3-28. 382. Weaver, J. C. and Chizmadzhev, Y. A. (1996), Theory of electroporation: A review. Bioelectrochemistry and Bioenergetics, 41:135-160. 383. Wendisch, V. F.; de Graaf, A. A.; Sahm, H. and Eikmanns, B. J. (2000), Quantitative determination of metabolic fluxes during co-utilization of two carbon sources: comparative analyses with Corynebacterium glutamicum during growth on acetate and/or glucose. Journal of Bacteriology, 182:3088-3096. 384. Wendisch, V. F.; Bott, M. and Eikmanns, B. J. (2006), Metabolic engineering of Escherichia coli and Corynebacterium glutamicum for biotechnological production of organic acids and amino acids. Current Opinion in Microbiology, 9:268-274. 385. Whatmore, A. M. and Reed, R. H. (1990), Determination of turgor pressure in Bacillus subtilis: a possible role for K+ in turgor regulation. Journal of General Microbiology, 136:2521-2526. 386. Whatmore, A. M.; Chudek, J. A. and Reed, R. H. (1990), The effects of osmotic upshock on the intracellular solute pools of Bacillus subtilis. Journal of General Microbiology, 136:2527-2535. 387. White, M. D. and Marcus, D. (1988), Disintegration of microorganisms. Advances in Biotechnological Processes, 8:51-96. 388. Wiechert, W.; Mollney, M.; Petersen, S. and de Graaf, A. A. (2001), A universal framework for 13C metabolic flux analysis. Metabolic Engineering, 3:265-283. 389. Wilhelm, C.; Winterhalter, M; Zimmermann, U. and Benz, R. (1993), Kinetics of pore size during irreversible electrical breakdown of lipid bilayer membranes. Biophysical Journal, 64:121-128. 390. Wolf, H.; Pfihler, A. and Neumann, E. (1989), Electrotransformation of intact and osmotically sensitive cells of Corynebacterium glutamicum. Applied Microbiology and Biotechnology, 30:283-289. 245 391. Wolf, H.; Rols, M. P.; Neumann, E. and Teissie, J. (1994), Control by pulse parameters of electric field mediated gene transfer in mammalian cells. Biophysical Journal, 66:524-531. 392. Wood, J. M (1999), Osmosensing by bacteria: Signals and membrane-based sensors. Microbiology and Molecular Biology Reviews, 63:230-262. 393. Wouters, P. C. and Smelt, J. P. P. M. (1997), Inactivation of microorganisms with pulsed electric fields: potential for food preservation. Food Biotechnology, 11:193229. 394. Wouters, P. C.; Dutreux, N.; Smelt, J. P. P. M.; and Lelieveld, H. L. M. (1999), Effects of pulsed electric fields on inactivation kinetics of Listeria innocua. Applied and Environmental Microbiology, 65:5364-5371. 395. Wouters, P. C.; Bos, A. P. and Ueckert, J. (2001), Membrane permeabilization in relation to inactivation kinetics of Lactobacillus species due to pulsed electric fields. Applied and Environmental Microbiology, 67:3092-3101. 396. Yamada, Y. and Komagata, K. (1970), Taxonomic studies on coryneform bacteria III. DNA base composition of coryneform bacteria. Journal of General and Applied Microbiology, 16:215-224. 397. Yamada, Y.; Inouye, G.; Takahara, Y. and Kondo, K. (1976), The menaquinone system in the classification of coryneform and nocardioform bacteria and related organisms. Journal of General and Applied Microbiology, 22:203-214. 398. Yang, R. Y. K.; Bayraktar, O. and Pu, H. T. (2003), Plant–cell bioreactors with simultaneous electropermeabilization and electrophoresis. Journal of Biotechnology, 100:13-22. 399. Yao, H. M.; Tian, Y. C.; Tade, M. O. and Ang, H. M. (2001), Variations and modelling of oxygen demand in amino acid production. Chemical Engineering and Processing, 40:401-409. 400. Yu, H.; Ding, Y. S.; Mou, S. F.; Jandik, P. and Cheng, J. (2002), Simultaneous determination of amino acids and carbohydrates by anion-exchange chromatography with integrated pulsed amperometric detection. Journal of Chromatography A, 966:89-97. 246 401. Zimmermann, U.; Pilwat, G. and Riemann, F. (1974), Dielectric breakdown of cell membranes. Biophysical Journal, 14:881-899. 402. Zimmermann, U. (1982), Electric field-mediated fusion and related electrical phenomena. Biochimica et Biophysica Acta (BBA) - Reviews on Biomembranes, 694:227-277. 247