Christoph Benning (Michigan)
Regulation of Triacylglycerol Synthesis and Turnover in Microalgae
Microalgae are prolific producers of triacylglycerols, in particular when they encounter nutrient deprivation.
These triacylglycerols accumulate in lipid droplets and can serve as feedstock for the production of biofuels.
To harness the full potential of microalgae as sustainable biomass for biofuel production, fundamental knowledge of the cell biology and biochemistry of lipid droplet formation and triacylglycerol biosynthesis and turnover is required. Our current focus is on the model green algae Chlamydomonas reinhardtii.
Following N deprivation Chlamydomonas cells restructure, photosynthetic membranes degrade, and large vacuoles and lipid droplets form. We isolated these lipid droplets and identified associated proteins by mass spectrometry. In parallel, we compared the transcriptome of N-‐replete and N-‐deprived cells using state-‐of-‐ the-‐art deep sequencing technology. To complement our global studies, we generated 32,000 gene disruption lines of Chlamydomonas and conducted a forward genetic screen to identify mutants deficient in
TAG accumulation.
Creating synergy by pursuing these approaches in parallel has yielded striking results. For example, we identified a major lipid droplet associated protein (MLDP) by lipid droplet proteomics, which is encoded by a gene that is strongly induced following N deprivation. The protein is specific to the green algal phylum and inactivation of the MLDP gene results in larger lipid droplets. Lipase-‐encoding genes have emerged as some of the most regulated following N deprivation. In addition, one of the first tagged genes that we identified in our mutant collection encodes what appears to be a polar lipid lipase. Disruption of this gene reduces TAG accumulation and alters lipid composition in specific ways suggesting a role in membrane lipid turnover. The expression of the gene is increased following N deprivation. Another putative lipase associated with lipid droplets in Chlamydomonas can partially complement a growth phenotype in a TAG lipase-‐deficient yeast mutant. Thus, it likely encodes a triacylglycerol lipase. The expression of its gene is decreased following N deprivation. Although we are only at the beginning our analysis in Chlamydomonas, a rich repertoire of
interesting factors and proteins involved in lipid droplet formation and turnover is emerging.
Sam Bryan (QM/Imperial)
Spatial localisation of the hydrogenase in Synechocystis sp. PCC 6803
The capacity of microorganisms to produce hydrogen is mediated by metalloenzymes called hydrogenases.
The soluble or loosely membrane-‐associated bidirectional hydrogenase is present in both nitrogen and non-‐ nitrogen fixing cyanobacteria. It is a heteropentameric enzyme encoded by the hoxEFUYH genes, and it has a
Nickel-‐Iron [NiFe] centre in its catalytic site. There is still extensive debate on the location of the hydrogenase, whether it is in the thylakoid lumen or cytoplasmic membrane. Maturation of the complex may also occur in specific compartments. We have generated a HoxF-‐GFP chimera for spatial resolution (by confocal microscopy). We are now utilising real time dynamic monitoring to observe the localisation of the hydrogenase under different conditions including dark-‐light transitions.
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Donald A. Bryant (Penn State)
Synechococcus sp. PCC 7002: a robust, versatile, and cosmopolitan cyanobacterial platform for biofuels production
Synechococcus sp. PCC 7002 is an ideal cyanobacterium for functional genomics and biotechnological applications through metabolic engineering. This cyanobacterium is euryhaline, unicellular and capable of
(photo)heterotrophic growth on glycerol. The Synechococcus 7002 genome (~3.4 Mb) has been sequenced and contains about 3450 genes. It is comprised of a 3.0-‐Mb chromosome and 6 plasmids that range in size from 4.8 to 186 kb. Synechococcus 7002 is naturally transformable and is competent for DNA uptake throughout a batch growth cycle. Neutral-‐site integration platforms have been used to introduce foreign genes into all of these plasmids by transformation, and using this strategy, a simple, effective and flexible gene (over)expression system has been developed. Synechococcus 7002 has two remarkable properties that distinguish it from other cyanobacteria. Firstly, it tolerates extremely high light intensities so long as the cells are not CO
2
-‐limited, and it is also very tolerant of attendant, elevated levels of reactive oxygen and nitrogen species (ROS/RNS). Secondly, Synechococcus 7002 grows faster than other well-‐characterized cyanobacteria
(~2.6-‐h doubling time with urea or ammonium and 4-‐h doubling time with nitrate). Understanding the genetic and physiological bases for its rapid and robust growth could reveal new strategies for metabolic engineering and biofuels production in many organisms.
We are employing systems biology approaches to develop a deeper understanding of the physiology of
Synechococcus 7002. Based on cDNA sequencing using SOLiD methodologies, we have performed high-‐ throughput transcription profiling. More than 45 conditions and strains have been profiled. The resulting data are being compared to proteomic data and are being used to improve the annotation and a metabolic model incorporating ~600 reactions (collaboration with Pacific Northwest National Laboratory and Dr.
Jennifer Reed). The transcription data suggest that Synechococcus 7002 may be tolerant of ROS/RNS and high light because it constitutively expresses enzymes for protection against oxidative stress at a relatively high level. It also produces multiple types of xanthophyll carotenoids (zeaxanthin, myxoxanthophyll, and synechoxanthin) that all contribute to light and ROS/RNS tolerance. The profiling data have provided direct information about useful promoters for gene expression and have also suggested approaches ( e. g.
, elimination or overproduction of sigma factors) that could help to alter cellular metabolism in a global manner. A collection of sigma factor and transcription factor null mutants is being created, and the construction of strains overproducing sigma factors is planned. Transcription profiling of the mutant strains has begun and should produce additional insights for manipulating metabolism globally. A dicistronic operon has been identified that may encode two enzymes that can replace the missing 2-‐oxo-‐glutarate dehydrogenase activity of the TCA cycle. These proteins have been overproduced in E. coli and are being assayed for the ability to convert 2-‐oxo-‐glutarate into succinate.
Synechococcus 7002 was isolated on Magueyes Island, Puerto Rico, from mud flats associated with a tilapia farm. We have recently sequenced the genomes of four closely related Synechococcus sp.: strains PCC 7003,
7117, 73109, and 8807. These strains were isolated from coastal environments in Greenwich, CT; Port
Hedland, Western Australia; City Island, NY; Port Gentil, Gabon, Africa, respectively. In spite of their geographic diversity, the four strains are surprising similar physiologically to Synechococcus 7002. All have high PS II: PS I ratios, exhibit very rapid growth, and have similar gene contents and arrangements. One strain grows about 10% faster than Synechococcus 7002, possibly because it has slightly higher chlorophyll a content per cell. Three of the strains can grow in the absence of vitamin B the presence of a gene for vitamin B
12 under the control of a B
12
12
cosmopolitan in their distribution and strikingly similar in their properties.
, a trait that is correlated with
-‐independent methionine synthase ( metE ), which is encoded on pAQ7
-‐riboswitch. The data suggest that these Synechococcus sp. strains are
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Nigel Burroughs (Warwick)
Systems Biology modelling: from omics to regulons
With the development of microarrays, the elucidation global regulatory networks became possible although it still remains to a large degree a specialist area. This is in part because of the difficulty of extracting reliable information from sparse noisy data. In this talk I will review methods of regulatory network inference from gene expression data, integrating time series data, bioinformatic predictions and condition/strain data. In this analysis we find that the most accurate method depends on the complexity of the processes and the underlying transcription/translation rates.
Arvind Chali (Virginia)
Functional integration of transcriptome data reveals broad evolutionary conservation in metabolic
subsystems of Chlamydomonas reinhardtii
Michelle Chang (Berkeley)
Building new chemical function in E. coli
Living systems have evolved the capacity to carry out many chemical transformations of interest to synthetic chemistry if they could be redesigned for targeted purposes. However, our ability to mix and match enzymes to construct de novo pathways for the cellular production of small molecule targets is limited by insufficient understanding how chemistry works inside a living cell. Our group is interested in using synthetic biology as a platform to understand the molecular principles needed to design high-‐flux synthetic pathways. Towards these goals, we have built a robust pathway for the production of n -‐butanol from individual enzyme components and explore how enzyme mechanism can be used as a kinetic control element to push a
reversible pathway to high yielding production of second-‐generation biofuels.
Neil D. Clarke (Singapore)
Transcriptome and lipidome analysis in model and non-‐model algae
In order to develop a ‘systems-‐level’ description of lipid metabolism in algae, we are performing combined transcriptome and lipidome analysis of in the model alga Chlamdomonas, as well as in a diverse set of other algal species that are less amenable to genetic perturbation. The strategy in Chlamydomonas is to obtain lipid and gene expression profiles for diverse genotypes, using artificial microRNAs to knockgene expression of genes involved in lipid biosynthesis, lipid transport, autophagy, nitrogen-‐ starvation induced signal transduction, and other relevant processes. These data are being used to develop a functional metabolic network that correlates gene expression differences with features in the lipid profiles.
We are also extending this work to other species through our participation in the One Thousand Plant (1KP) transcriptome project, which is producing transcriptome sequences for a large number of diverse algal species. For many of these species, we are also performing detailed lipidomic analyses. Similarities and differences in lipid metabolism, as inferred from the lipid profile and the transcriptome sequences, will be
described.
Paul A Dalby (UCL)
De novo pathway design and evolution
Concepts for the design of de novo pathways for the synthesis of new chemicals will be introduced. The aminodiol functionality is present in many natural and synthetic biologically active molecules including antibiotics, alkaloids and amino sugars. An elegant de novo biocatalytic pathway has enabled the synthesis of chiral aminodiols which is now being enhanced to an industrially useful scale. Transketolase (TK) mutants have been obtained by directed evolution to accept new substrates and to both improve and reverse
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enantioselectivity for the product. Meanwhile new transaminase (TAm) variants have also been isolated that are capable of processing a multitude of aldehyde substrates into chiral aminodiols. These enzyme variants have been re-‐combined into the pathway to diversify the range of products that can be synthesised.
General strategies for the directed evolution of component enzymes, and also the impact of re-‐introducing
evolved enzymes into pathways will be discussed.
Oliver Ebenhoeh (Aberdeen)
Mathematical models of metabolism and photosynthetic acclimation of Chlamydomonas
The talk will be devided in two parts, the first part focussing on the reconstruction and improvement of the metabolic network of Chlamydomonas, the second part covering ongoing research activities regarding models of photosynthetic acclimation. The method of network expansion, introduced previously by our group, is a structural analysis method to assess biochemical production capabilities of metabolic networks. I will give a short summary about how this method was used to assess and classify networks of different organisms and how it may be applied to infer minimal nutrient requirements, before covering in more detail how it was employed to improve the genome annotation of Chlamydomonas by identifying inconsistencies in its draft metabolic network. Our approach integrates genomics, proteomics and metabolomics data with bioinformatics and modelling techniques to identify missing parts of the network and to compute possible solutions how these gaps may be filled.
Photosynthetic organisms have developed acclimation mechanisms which allow them to cope with rapidly changing light conditions. The most prominent mechanisms on the time-‐scale of seconds to minutes are non-‐photochemical quenching (NPQ) and state transitions. Despite active research, the precise molecular mechanisms and implications of these processes are not yet fully understood. To support the investigation of these important regulatory processes from a theoretical side, we have developed mathematical models describing these central acclimation mechanisms. I will present preliminary results which allow hypotheses on some molecular mechanisms and shed new light on the different adaptive strategies of plants and green
algae.
John H Golbeck (Penn)
A Hybrid Biological/Organic Photochemical Half-‐Cell for Generating Dihydrogen
In this talk, I will describe our work on the development of a hybrid biological/organic photo-‐electrochemical
. The device will couple Photosystem I (PSI), half-‐cell that carries out the reaction: 2H
(H
+ + 2 e – + 2hν
→
H
2 which captures and stores energy derived from sunlight, with a catalyst such as a [FeFe]-‐hydrogenase
2 ase) or a [NiFe]-‐H
2 ase, which generate H
2
with an input of two electrons and two protons. The technical challenge is to deliver the electrons from the acceptor side of PSI to the catalytic module rapidly, using a method that does not depend on diffusion chemistry. To accomplish this goal, we have devised a technology based on a molecular wire, which serves to tether the photochemical module to the catalytic module at a fixed distance so that an electron can quantum mechanically tunnel between the F distal [4Fe-‐4S] cluster of a H
P
700
+ and F
B
–
2
B
cluster of PSI and the ase enzyme at a rate faster than the competing charge recombination between
. To link the photochemical and catalytic modules of our half-‐cell, a short aliphatic or aromatic dithiol molecule forms a coordination bond with an exposed Fe of the F exposed Fe of the distal [4Fe-‐4S] cluster of a H
2
B
cluster of a PSI variant and with an ase variant. This is practically achieved by changing a ligating
Cys residue of the surface-‐located [4Fe-‐4S] cluster of each protein to a Gly, thereby exposing the Fe atom for chemical rescue by the added dithiolate-‐containing molecular wire. Our latest results show that when Cyt is cross-‐linked to PSI and ascorbate is the sacrificial donor, the PSI—wire—[FeFe]-‐H
2
, which is equivalent to a throughput of 142 e – PS I -‐1 s -‐1 c ase construct evolves H
6
2
. Putting this into at a rate of 2885 µmoles mg Chl -‐1 h -‐1 perspective, cyanobacteria evolve O throughput of 46 e – PS I -‐1 s -‐1
2
at a rate of ~400 µmoles mg Chl -‐1 h -‐1 , which is equivalent to a
in Synechococcus sp PCC 7002 (assuming a ratio of PS I:PS II of 1.8). The significantly greater electron throughput by our hybrid biological/organic nanoconstruct over in vivo
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oxygenic photosynthesis validates the concept of tethering proteins through their physiologically relevant redox cofactors to overcome diffusion-‐based rate limitations on electron transfer. We are currently extending this work by (i) docking the PSI—molecular wire—[FeFe]-‐H
2 ase construct on a Au electrode so that it functions as the cathode of a photo-‐electrochemical half-‐cell; (ii) engineering a His → Gly mutation in an oxygen-‐tolerant [NiFe]-‐H
PSI—wire—[NiFe]-‐H
2
2 ase from Ralstonia eutropha and tether this [NiFe]-‐H
2 ase to the PSI—molecular wire module; and (iii) assembling a PSI—molecular wire module in vivo in preparation for a living cell-‐based
ase construct. This research was funded by the U.S. Department of Energy, Basic Energy
Sciences, Division of Materials Sciences and Engineering, under Contract DE-‐ FG-‐05-‐05-‐ER46222.
Martin Hagemann (Rostock)
Metabolic and transcriptomic phenotyping of inorganic carbon acclimation among cyanobacteria
The amount of available inorganic carbon is one of the main limiting environmental factors for photosynthetic organisms such as cyanobacteria. Using the cyanobacterial model strains Synechocystis sp.
PCC 6803 and Synechococcus elongatus PCC 7942, we characterized metabolic and transcriptomic changes in cells that had been shifted from high to low CO
2
levels. Metabolic phenotyping indicated an activation of glycolysis, the oxidative pentose phosphate cycle and glycolate metabolism at lowered CO
2
levels. The metabolic changes coincided with a general reprogramming of gene expression, which included not only increased transcription of inorganic carbon transporter genes but also genes for enzymes involved in glycolytic and photorespiratory metabolism. In contrast, the mRNA content for genes from N-‐assimilatory pathways decreased. These observations indicated that cyanobacteria control homeostasis of the C/N ratio.
Therefore, results obtained from the wild-‐type strains were compared to the Synechocystis 6803 mutants
D glcD1 and D ccmM with defective photorespiratory glycolate dehydrogenase and carbon concentrating mechanisms, respectively, and the MP2 mutant of Synechococcus 7942, which is defective for the central
C/N-‐regulating PII-‐protein. These mutants showed distinct changes in levels of metabolites and or of transcripts compared to wild-‐type cells, which may shed light on possible regulatory mechanisms of central
C-‐ and N-‐metabolism. On example, the PII-‐signaling appears to down-‐regulate the N-‐metabolism at lowered
CO
2
, whereas the specific shortage of inorganic carbon is recognized by different mechanisms using
metabolite signals such as glycolate.
Klaus Hellgardt (Imperial)
Multiple energy vectors from algae processing
Chris Herring (Mascoma)
The role of OMICs in the development of Thermoanaerobacterium saccharolyticum for production of ethanol from pretreated hardwood
Thermoanaerobacterium saccharolyticum is a thermophilic anaerobic bacterium that was engineered to produce ethanol at near-‐theoretical yield from a wide array of biomass-‐derived sugars. I will present findings of OMICs studies conducted as part of a project to develop this organism for the production of ethanol from pretreated hardwood. To begin, a genome sequence was generated and resequencing was performed on 6 mutagenized and selected strains. An in silico reconstruction of metabolism was created based on the existing reconstruction of Clostridium thermocellum. Microarrays were designed and used to study gene expression profiles in >20 different steady state and “shock” conditions relevant to biomass fermentation.
Methods for sampling cultures for intracellular metabolite profiling by GC/MS were validated and then used to analyze the effects of the inhibitors HMF and furfural. Examples will be shown of combined expression and metabolite analysis of fermentations of cellobiose conducted to determine why ethanol production ceased. Perturbations caused by extracts containing inhibitors and hemicellulose were also analyzed.
Clusters of upregulated genes mostly comprised combinations of transporters, regulators, glycosyl
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hydrolases and carbohydrate-‐specific catabolic genes, but also included oxidoreductases that may be related to inhibitor detoxification or intracellular redox balancing. The importance of intra-‐ and extracellular redox in biofuel production will be further discussed, including its importance in directing carbon flux and its effect on SSF performance.
Patrik Jones (Turku)
Engineering model systems for biofuel production and related fundamental studies in prokaryotes
The talk will describe efforts to engineer prokaryotes, E. coli and various cyanobacteria, for biofuel production. Our group is operating somewhere in between fundamental and applied sciences and utilizes both wet-‐lab experimental and computational approaches (although the wet-‐lab work is dominant). Topics that will be covered include the development of basic tools for cyanobacteria engineering, the metabolism
of (1) Fe-‐S clusters, (2) NADPH, (3) H2 and (4) hydrocarbon fuels, and utilization of computational tools to aid engineering.
Olaf Kruse (Bielefeld)
Biofuels from algae-‐ challenges for industrial levels of productivity
Solar to fuels with microalgae are nowadays considered as a promising alternative to the traditional use of crop plants for bioenergy production. However, to achieve the goals of profitable production lines and positive energy balances with algae, new bio-‐refinery concepts are needed to combine the production of bio-‐fuels such as bio-‐methane and bio-‐hydrogen with the extraction of oils for biodiesel and/or the separation of valuable co-‐products (Stephens et al., 2010; Kruse & Hankamer, 2010). Such bio-‐refinery concepts can be designed with the aim of achieving CO2 neutral systems in which CO2 and essential nutrients such as P and N are recycled. Since H2 and CH4 are volatile products that can be easily collected, these gaseous fuels can be considered excellent components of such new bio-‐refineries. The improvement of fuel production from microalgae includes the systematic analysis of metabolic pathways as well as targeted metabolic engineering with transformable microalgae to overcome potential bottlenecks.
Stéphane Lemaire (CNRS Paris)
Redox based post-‐translational modifications: a central role in the regulation of cell metabolism
Cells must constantly adapt to their environment and have developed many systems to perceive extracellular factors or changes in environmental conditions. Redox signaling mechanisms play a central role in these processes and act mainly through reversible posttranslational modification of protein thiols under the control of small disulfide oxidoreductases named thioredoxins (TRXs) and glutaredoxins (GRXs). Protein glutathionylation is a reversible post-‐translational modification controlled by GRXs and consisting in the formation of a mixed disulfide between glutathione and a protein cysteine residue. Emerging evidence suggests that it could constitute an important mechanism of regulation and signaling in photosynthetic organisms.
We developed several proteomic approaches based on radiolabeling, biotinylation or affinity purification to identify proteins regulated by TRXs or undergoing glutathionylation in the unicellular green alga
Chlamydomonas reinhardtii . These methods allowed identification, in vivo or in vitro , of 55 putative targets of TRXs and more than 200 glutathionylated proteins involved in numerous cell processes and metabolic pathways including photosynthesis. We further analyzed the redox regulation of several putative targets related to carbon metabolism, including A
4
-‐glyceraldehyde-‐3-‐phosphate dehydrogenase, TRX f and isocitrate lyase, by kinetic analyses, mass spectrometry, site-‐directed mutagenesis and western blotting. The activity of all the proteins analyzed was found to be regulated by one or several redox post-‐translational modifications. TRXs and GRXs were also found to exhibit distinct biochemical properties and reactivities. All these data indicate that redox post-‐translational modifications likely constitute an important mechanism of
6
regulation and signaling in photosynthetic organisms. TRXs and GRXs appear as central regulators allowing, depending on the intracellular redox state, a fine tuning of cell metabolism under stress conditions.
Radhakrishnan Mahadevan (Toronto)
Model-‐based Analysis and Design of Metabolism for Biofuels and Biochemicals
Bioprocess development for biofuels and biochemicals typically requires several rounds of metabolic engineering to meet process targets including product yield, titer and productivity, all of which impact the process economics. Recent advances in experimental and computational technologies have enabled the detailed characterization of biological systems. In particular, the molecular components of these systems including the list of genes, proteins they encode, and compounds that interact with these proteins can be determined. Similar advances in computational modeling techniques have allowed the development of genome-‐scale models of metabolism in several organisms. In this talk, the use of such models for metabolic engineering will be presented. Model refinement through the incorporation of a fundamental physical constraint that accounts for membrane area will be described. In the first part, a rational approach based on bi-‐level optimization to enhance bioprocess productivity by forcing co-‐utilization of substrates will be shown.
Experimental results from the application of this approach to enforce substrate co-‐utilization in Escherichia coli will be discussed. The second part of the talk will focus on the use of synthetic biology tools such as the toggle switch to manipulate bacterial metabolism and apply optimization & control principles at the genetic level by “re-‐wiring” the bacterial machinery to improve process productivity in E. coli and respiration rates in
Geobacter . In the last part of the talk, a novel nested nonlinear optimization method for metabolic engineering resulting in over hundred different strain design strategies for succinate production will be
presented.
Conrad Mullineaux (QM, London)
Colocalisation of electron transport complexes in bioenergetic membranes -‐ does distribution at the 100 nm length scale control the partitioning of reducing power?
We have used fluorescent protein tagging and fluorescence microscopy to probe the distribution of electron transport complexes in the cytoplasmic membrane of Escherichia coli and the thylakoid membranes of cyanobacteria. Complexes studied include all the major OXPHOS complexes of E. coli, and the bidirectional hydrogenase and a number of respiratory complexes in cyanobacteria. Although the fluorescence microscopic techniques used have relatively low resolution, they have the considerable advantages that they allow the complete distribution and dynamics of specific proteins to be observed in living cells. Quantitative electron transport measurements show that in most cases electron transport function is not perturbed by the tag. A distribution pattern frequently observed is the clustering of electron transport complexes into specific zones in the membrane, typically of the order of 100 nm in diameter and containing tens to hundreds of copies of the tagged complex. In cyanobacteria, we have observed instances where the distribution of the complex is under physiological control, and changes in the distribution of the complex seem to correlate with changes in electron transport activity. The case of cyanobacteria is particularly intriguing, since respiratory and photosynthetic complexes share the same membrane, giving multiple possible pathways of electron transport. We propose that electron transport is kinetically confined to length
scales of around 100 nm or less, and that co-‐localisation on these scales is a major determinant of electron transport pathways. Efficient re-‐routing of electron transport for biofuel production will require understanding and manipulation of the factors that control the distribution of protein complexes in the membrane.
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Norio Murata (Okazaki)
Stress sensitivity of photosynthesis and gene-‐engineered improvement of stress tolerance in cyanobacteria
The productivity of microalgae primarily depends on the efficieincy of photosynthesis and the stability of photosynthetic machineries. However, they are limited by various kinds of environemtal stress, such as stong light, high and low temperatures, and high salt. Previous studies have demonstrated that photosystem
II (PSII) is a main target of such environmental stresses and is damaged by strong visible light and UV light.
However, algal cells cope with such damaging effects of light by a strong ability of repair, which includes removal of the damaged PSII and de novo synthesis of necessary proteins for reassembly of PSII. We have demonstrated that various kinds of stress, such as extreme temperatures and salt stress, inhibit the repair mainly by inactivating the translation machinery, in particular, at the elongation factor G (EF-‐G). Our recent studies, in use of cyanobacteria, have demonstrated that several gene-‐engineering methods strengthen the algal photosysnthesis against environmental stresses; namely, (1) Desaturation of fatty acids in membrane lipids by genetic engineering of fatty acid desaturases; (2) Introduction of the codA gene for synthesis of glycinebetaine; (3) Overexpression of peroxide-‐scavenging enxymes; (4) Overexpression of EF-‐G. In this workshop, we will discuss these methods on the basis of the newly developed scheme for the mechanism of photoinhibition. We will discuss also other potential methods for the improvement of stress tolerance of the
photosynthetic machinery in cyanobacteria.
Ed van Niel (Lund)
The extreme thermophilic Caldicellulosiruptor saccharolyticus: a promising hydrogen cell factory
Dark fermentation of hemicellulose-‐containing waste to hydrogen is considered one of the promising avenues of biofuel production. The extreme thermophilic bacterium Caldicellulosiruptor saccharolyticus can produce hydrogen from carbohydrate-‐rich substrates at yields close to the theoretical maximum (i.e., 4 mol
H
2
/mol hexose). This strict-‐anaerobic Gram-‐positive bacterium is able to ferment an array of mono-‐, di-‐ and polysaccharides, and is relatively tolerant to high partial hydrogen pressures, making it a potential candidate for exploitation in a biohydrogen process. Its physiology has been studied in various environmental conditions, including biomass hydrolysates as feedstock. However, this organism bears various hallmarks of being adapted to a sugar-‐lean environment, such as low osmotolerance. This should be improved, either by evolutionary adaptation or metabolic engineering, before this organism can be used in an economical feasible process.
Together with other research groups genome annotation and transcriptomics and proteomics protocols have been accomplished as platforms for further study on the 'enviromics' of the organism.
We followed two approaches to deepen our understanding of the physiology of this unique organism. One was recently performed through reconstructing and analyzing its genome-‐scale metabolic network, which consists of 575 reactions, involving 507 genes and 596 metabolites. The reconstruction process identified the lack of auxotrophy for any of the amino acids in C. saccharolyticus , which was confirmed by growing the organism in a chemically defined medium under chemostat conditions. The reconstruction is further converted to a computational model to enable constrained-‐based flux analysis. The model can successfully mimic experimentally-‐measured fluxes in glucose-‐limited chemostat cultures and is able to capture the behaviour of the cells in response to variation in sugar type in the medium. Our second approach is through kinetic modelling of the central carbon metabolism, which is still ongoing. So far, a picture is emerging how the redox-‐ and energy metabolism are highly integrated in C. saccharolyticus , which comes especially to the fore in the tight regulation of hydrogen production. For instance, the lactate dehydrogenase activity is controlled on enzyme level via the ratio of two energy carriers, i.e., pyrophosphate and ATP. The latter example underlines that a good knowledge of 'classical' kinetics of enzyme regulation, in addition to modern
genome-‐scale methods, is essential to make sense of the metabolic system of cell.
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Clemens Posten (Karlsruhe)
Process development for hydrogen production with Chlamydomonas reinhardtii
Hydrogen production under anaerobic and sulfur deficient conditions is intensively investigated in many working groups. For a commercial process specific parameters like acetate feeding and phase shift to anaerobiosis are critical factors. In this contribution a two phase process will be presented, where sulfur limitation is induced by a controlled feed either in batch or in fed-‐batch process policy. Anaerobiosis and the following hydrogen production can be achieved without cell separation and without additional acetate feed.
The discussion will include the stoichiometric hydrogen yield and the necessity for a controlled water
splitting and respiration activity of the cells.
António Roldão (Chalmers)
Bringing biofuels closer to reality: engineering yeast cell factories for the production of bio-‐butanol and next generation of bio-‐diesel
To surmount the global dependency on oil-‐derived products, renewable, environmental friendly and sustainable energy sources are required. Potential fuel candidates are biomass-‐derived 1-‐butanol and next generation biodiesel. They present several advantages over traditional and worldwide used bioethanol.
These include:
1) biobutanol – can be blended directly into gasoline (Park et al. 1989), is highly hydrophobic, has high octane rating and energy content (Ladisch 1991), generates few volatile organic compound emissions and is not highly corrosive making its distribution through pipelines and filling stations feasible;
2) biodiesel – it is biodegradable, can be used in any diesel vehicle, accounts for significantly less emissions than standard diesel and has a high flash point.
Traditionally, biomass-‐derived butanol is produced using aerobic fermentation of the bacterium Clostridium acetobutylicum, which converts carbohydrates into butanol and two by-‐products, acetone and ethanol
(Jones et al. 1986; Ezeji et al. 2007). On the other hand, the established biodiesel production process is chemically based consisting in converting vegetable oil (e.g. soybean, rapeseed and palm oils) or animal fat
(derived from poultry, pork or beef) into fatty esters in a transesterification step with methanol while generating glycerol as by-‐product (Bajpai D et al. 2006). To circumvent process-‐derived limitations (e.g. formation of by-‐products, energy and chemicals requirements, geographical and seasonal dependency or toxic waste water generation) and enhance yields and end-‐product titers, different production workflows based on yeast as cell factory (well characterized microorganism and availability of multiple tools for its genetic manipulation) are being pursued. It involves feedstock optimization (e.g. lignocellulosic biomass), superior microbial cultures/strain generation and up-‐ and down-‐stream process optimization.
In the global project’s objective of generating an yeast cell factory for butanol production, three key steps are currently being performed:
1) reconstruct a functional pathway for 1-‐butanol in Saccharomyces cerevisiae through genetic engineering, testing different heterologous enzymes and evaluating pathway performance at small-‐scale shake flasks or fully controlled bioreactors;
2) engineering the central carbon metabolism of S. cerevisiae for maximizing the flux towards butanol;
3) increase the tolerance of yeast cells to 1-‐butanol (toxic above a specific threshold) by evolutionary engineering (sequential batch cultures) and random mutagenesis (UV light).
Regarding biodiesel production, several genetic engineering strategies have been designed to reconstruct the heterologous pathway for production of FAEEs (biodiesel) in yeast. In addition, the lipid and central carbon metabolism of yeast cells is being engineered to direct the flux towards production of FAEEs, thereby maximizing titers and yields.
Strategies for developing yeast strains capable of converting pentose and hexose sugars derived from novel substrates (e.g. lignocellulosic biomass such as such xylose or wood sugar) into target biofuels at high yields
are also being designed/evaluated.
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Alison Smith (Cambridge)
Sustainable biodiesel production from algae -‐ from life-‐cycle assessment to life cycle biology
Algal biofuel production has a number of attractions, but there are many difficulties still to be overcome before they can be a commercial reality. One aspect is environmental sustainability which requires an efficient production system whose design is optimised for maximum output at minimal costs to the environment. A pilot-‐scale Life Cycle Analysis (LCA) of a putative algal biodiesel production process for the
UK was conducted, comparing growth in open raceway ponds versus closed tubular photobioreactors
(PBRs). We found cultivation in the typical outdoor system to be more environmentally sustainable than in closed air-‐lift tubular bioreactors, with an estimated global warming potential (GWP) ~ 80% lower than fossil-‐derived diesel, whereas in PBRs the GWP was much greater than for fossil fuel. However, for algal growth in outdoor facilities, biomass yields are often reduced by contaminating bacteria, predating zooplankton, or undesirable algae competing for the resources. An understanding of algal ecology, which can be employed to decrease the detrimental effects of competition, predation and contamination, is therefore justified. Not all bacteria lead to a decrease in algal growth. Algal-‐bacterial symbioses have previously been shown, a prominent example being symbiosis of algal vitamin B12 auxotrophs with vitamin
B12 producing bacteria. Half of all algal species have an obligate requirement for vitamin B12 for growth, and none can synthesise it (Croft et al. 2005 Nature 438:90-‐93). We have shown that growth of vitamin B12 dependent algae can be rescued by symbiotic vitamin B12 producing bacteria. We investigated the dynamics of algae (Lobomonas rostrata) and bacteria (Mesorhizobium loti) grown under symbiosis-‐requiring conditions. The two organisms were observed to form a stable equilibrium in terms of population numbers that can be maintained over many generations, although it was possible to perturb it by addition of either vitamin B12 or a carbon source for the bacteria. We modelled the growth of algal and bacterial populations mathematically, and found that independent growth could not explain growth kinetics. Parameters for nutrient exchange were required that indicated a degree of species interdependence, lending credence to the model of symbiosis that we developed. The stability of the equilibrium suggests a robustness of culture, which may perhaps be more stable against competitors. We have begun to test this in a series of
competition experiments.
Alexander Steinbüchel (Münster)
Plasmid addiction systems designed to allow stable production of products during microbial fermentations
Biotechnological production processes, which rely on fermentations of microorganisms, often depend on foreign genetic information located on plasmids. Plasmids are separate genetic elements and autonomously replicated from the chromosomes. Genetically engineered microorganisms produce important chemicals, biopolymers, biofuels and high value proteins like insulin. The success of plasmid-‐based microbial production systems significantly depends among others on plasmid stability. Frequently used plasmids harbour antibiotic resistance genes and require the addition of antibiotics to the cultivation medium for plasmid maintenance. Whereas this procedure is feasible at the laboratory scale, it is not applicable at large scale cultivations in industry due to the high costs and due to ecological constraints. Chromosomal gene integration is just one strategy to stabilize foreign genes.
Another strategy is the application of plasmid addiction systems (PAS). This lecture provides an overview on
PAS, which could be used in microorganisms. Examples for the use of PAS for the production of the biopolymer cyanophycin will be provided. However, these PAS are also applicable to the production of other compounds. Two different types of plasmid addiction systems were engineered: (i) In catabolism-‐based PAS a gene encoding a key enzyme essentially required for the utilization of a carbon source is deleted in the chromosome but provided in trans on the plasmid that encodes also the cyanophycin synthesis gene.
Alternatively, the gene(s) coding for an alternative pathway to utilize this carbon source are provided on the plasmid. In Ralstonia eutropha two PAS based on a chromosomally deleted KDPG aldolase gene ( eda ) with the same gene provided on the plasmid or with the gene for a bifunctional xylulose-‐5-‐phosphate/fructose-‐6-‐ phosphate phosphoketolase gene ( xfp ) from Bifidobacterium animalis , respectively, were engineered. After
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having in the past established the Embden-‐Meyerhof pathway for carbohydrate catabolism for a second time a completely different pathway for a new fructose catabolism route was thereby functionally established in R. eutropha . (ii) In anabolism-‐based PAS a gene or group of genes encoding genes required for the biosynthesis of an essential cell component were deleted in the chromosome, but a gene for an alternative enzyme or a group of genes for an alternative pathway were provided in trans on the plasmid encoding the cyanophycin synthesis gene. In Escherichia coli one PAS based on a disrupted succinylase pathway for lysine biosynthesis with deleted dapE gene, which was complemented by the plasmid encoded artificial aminotransferase pathway mediated by the dapL gene, was engineered. A second PAS was based on a disrupted 4-‐hydroxy-‐3-‐methylbut-‐2-‐enyl diphosphate reductase gene ( ispH ) yielding an impaired deoxyxylulose 5-‐phosphate pathway for isopentenyl pyrophosphate (IPP) biosynthesis. In this E. coli mutant
a completely synthetic and episomal mevalonate pathway was established for provision of the essential IPP.
Ralf Steuer (Manchester)
Systems Biology of Cyanobacterial Biofuel Production
To overcome the dependency on fossil fuels, alternative sources of environmentally safe, renewable and affordable energy are urgently needed. Biofuels derived from plants and other biological materials offer a potential alternative as transportation fuels, but are currently not available in large volumes at an affordable price.
Within the framework of FORSYS-‐Partner, we have established a systems biology research initiative to explore the efficient and economic production of biofuels using phototrophic microorganisms. Our approach is to combine photosynthesis with the synthesis of ethanol in one cyanobacterial cell. An integral part of our initiative is to establish a systemic understanding of selected oxygenic photosynthetic prokaryotes, based on experimental characterization of photosynthetic growth, including metabolomic and transcriptomic analyses combined with mathematical modeling.
The focus of our project is Synechocystis sp. PCC 6803, a widely used model organism for the study of photosynthetic and metabolic processes and their regulation. With a rich compendium of genomic, biochemical and physiological data available, this unicellular cyanobacterium is an ideal candidate for a systems-‐level description of primary metabolism and its regulation. We present an iterative construction of a computational model that serves as a first step towards a comprehensive computational description of cellular metabolism in unicellular autotrophs and will describe recent advances to engineer cyanobacteria as hosts for the production of third generation biofuels.
Wim Vermaas (Arizona State University)
Solar-‐Powered Production of Biofuels by Cyanobacteria: Stoichiometry of Reducing Equivalents and
Chemical Energy, and Energy Conversion Efficiency
Cyanobacteria are a promising platform for solar-‐powered, CO
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-‐consuming production of biofuels and other useful products using photosynthesis. Efficient production of such compounds requires that the stoichiometry of reducing equivalents (NADPH) and chemical energy (ATP) produced as a result of photosynthetic electron transport is well-‐matched by the stoichiometry of reducing equivalents and chemical energy required for production of the desired compounds. Stoichiometry requirements are met when linear photosynthetic electron transport is used to produce compounds via the fatty acid or isoprenoid biosynthesis pathways. In the case of fatty acid production, the amount of energy stored in the fatty acid can be up to 28% of the energy of the light if one were to excite with 680 nm light and all absorbed light was used for fatty acid production. Making adjustments for solar illumination (only ~50% of the energy can be used for photosynthesis), blue-‐photon utilization, and losses due to non-‐photochemical quenching and the requirements for maintenance energy, the solar energy conversion efficiency may still be in the range of
~7%, which is superior to most other bio-‐based approaches. However, photohydrogen production that directly uses reducing equivalents from photosynthetic electron transfer for H
2
production does not require
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ATP and thereby is not properly balanced stoichiometrically. An additional complexity of H
2
production in relatively small cyanobacterial cells at somewhat alkaline pH is that the number of free protons in a cell is extremely limited (a few protons per cyanobacterial cell of 1 fL at pH 8.0). However, regardless the inherent difficulties of light-‐driven H
2
production in cyanobacteria, the utilization of cyanobacteria for light-‐driven
generation of carbon-‐based biofuels and related products can be efficient and is very promising.
Percival Zhang (Virginia)
Replacing crude oil with sugar (before we run out of oil)
Economically viable production of biofuels from renewable energy sources are typical goal-‐oriented projects with numerous (hidden) constraints, such as efficiency, cost, rate, scale, implementation time, competing technology, technology maturation, environmental, safety, and so on. As a biochemical engineer, my research integrates engineering design principles with protein biochemistry, microbiology, and modern biotechnology to address key challenges in the sustainability revolution. Since cellulosic ethanol and butanol may be the best biofuel candidate in short terms. To overcome biomass recalcitrance, we are developing recombinant cellulolytic Bacillus subtilis that can produce engineered (non-‐natural) cellulase complexes, hydrolyze cellulose, and produce desired biofuels in one step. We have created the first real recombinant cellulolytic microorganism that can grow on solid cellulose by using its recombinant cellulase without help of any other organic nutrient.
Since hydrogen is an ultimate fuel in the transport sector, we have designed synthetic enzymatic pathways that can produce 12 mol hydrogen per glucose unit and water for the first time. In addition to potentially low-‐cost renewable hydrogen production, high-‐purity hydrogen produced by cascade enzymes may also solve hydrogen storage, distribution, and safety problems. We strongly recommend that high-‐product yield and potentially low-‐cost biofuels will be produced by cell-‐free synthetic enzymatic pathway biotransformation (SyPaB) that can implement complicated biochemical reactions that living entities cannot achieve through in vitro assembly of stable enzymes and (biomimetic) coenzymes. Great potential markets of SyPaB, include chiral compounds, biodegradable sugar batteries, sulfur-‐free jet fuel, hydrogen, sugar hydrogen fuel cell vehicles, high-‐density electricity storage, and synthetic starch, are motivating to solve
remaining technical obstacles. The in vitro assembly of numerous enhanced performance and stable enzymes in one bioreactor that can last a very long reaction time (e.g., several months) would be an out-‐of-‐ the-‐box solution for high-‐yield and ultra-‐low-‐cost biofuels production.
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