D iv e r sity an d E c o sy ste m F u n c t i o n i n g in E s t u a r i n e In te r tid a l M ic r o p h y to b e n th o s ÏP f Mii UNIVERSITEIT GENT F A C U L T Y O F S C IE N C E S D e p a r tm e n t B io lo g y R e s e a r c h u n it P r o tis to lo g y a n d A q u a tic eco lo g y D iv e r s it y a n d E c o s y s t e m F u n c t io n in g in E s t u a r in e I n te r t id a l M ic r o p h y t o b e n t h o s B art V an elslan d er P ro m o to r: P ro f. D r. W im V yv erm an P ro m o to r: P ro f. D r. K oen Sabbe T h esis s u b m itte d in p a rtia l fulfillm ent o f th e req u irem en ts for th e of th e re q u ire m e n ts for th e degree o f D o cto r (P h .D .) in Science (Biology) A cadem ic y ear 2010-2011 E x a m c o m m itte e M em b ers o f th e reading c o m m itte e Prof. Dr. G raham J. C. Underwood (U niversity of Essex, UK) Dr. Jacco C. Kromkamp (NIOO-CEME, T he Netherlands) Prof. Dr. Tom Moens (Ghent University) Dr. Frederik De Laender (Ghent University) O th er m em b ers o f th e exam c o m m itte e Prof. Dr. Dominique Adriaens (C hairm an, G hent University) Prof. Dr. Olivier De Clerck (Ghent University) Prof. Dr. Wim Vyverman (Prom otor, G hent University) Prof. Dr. Koen Sabbe (Prom otor, G hent University) C ontent C h a p ter 1 G en eral In tro d u ctio n Biodiversity and ecosystem function Biodiversity Development of the biodiversity - ecosystem functioning field M odern B EF experiments Mechanisms involved Biodiversity - ecosystem functioning in estuarine intertidal M icrophytobenthos Aims and outline Cited references 1 2 2 3 6 7 8 10 12 C h ap ter 2 E cological D iffe r e n tia tio n b e tw e e n S ym p atric P se u d o c r y p tic S p ecies in th e E stu a rin e B e n th ic D ia to m N a v ic u la p h y lle p ta (B a cilla rio p h y cea e) 21 A bstract Introduction 22 23 M aterials and M ethods Sam pling sites and clonal cultures DNA am plification and sequencing Phylogenetic analyses Valve morphology Ecophysiology and natural distribution Results Valve morphology Ecophysiology and distribution pattern Discussion and Conclusions Cited References Supplem entary m aterial 25 25 27 29 32 32 35 37 40 42 46 53 C h a p ter 3 T h erm a l N ic h e E v o lu tio n in th e M arin e D ia to m G en us C y lin d r o th e c a 55 A bstract 56 Introduction M aterials and M ethods 57 58 T axon sam pling Grow th at different tem peratures Phylogeny 58 61 62 Integration of ecological d a ta and phylogenetic inform ation 63 Sea surface tem perature Results Discussion 64 64 71 C ited references 75 C h a p ter 4 H y d ro d y n a m ic D istu r b a n c e G overn s D iv e r sity and B iom ass P a tte r n s o f E stu a rin e B e n th ic D ia to m s 81 A bstract Introduction 82 83 M aterials and M ethods Study site 85 85 Sam pling cam paign Species composition and diversity 86 87 G ranulom etric analysis Statistical analysis 89 90 91 Results Diversity along a disturbance gradient 91 D iversity along a biomass gradient Species turnover D iatom cell size Discussion 96 97 99 100 References Supplem entary m aterial 104 110 C h a p ter 5 C o m p lem en ta rity E ffects D r iv e P o s itiv e D iv e r sity E ffects on B io m a ss P ro d u ctio n in E x p e rim en ta l B e n th ic D ia to m B iofilm s 113 A b stract Introduction 114 115 M aterials and M ethods 117 Biodiversitv-ecosj'stem functioning experim ent Facilitation 117 119 S tatistical analyses 120 R esults Discussion 121 125 References 128 C h a p ter 6 D e n s ity -d e p e n d e n t In terferen ce C o m p e titio n b e tw e e n M arine B e n th ic D ia to m s 133 A b stract Introduction 134 135 M aterials and M ethods Strain isolation and culture conditions. Co-culture experiments. 136 136 137 R esults Phylogenetic position of N.cf. pellucida Discussion 138 138 142 References 145 C h a p ter 7 T h e “ M o lecu la r T o o th b r u sh ” o f a M icroalga: D a ily B u r sts o f B io g e n ic C y a n o g en B ro m id e (B rC N ) C o n tro l B io film F orm ation a ro u n d a M a rin e B e n th ic D ia to m 151 A b stract Introduction 152 153 M aterials and Methods 154 Algal strains and culture conditions 154 Bi-algal culture experim ents 155 Effects of spent m edium Extraction of allelopathic compounds and GC-MS 155 156 Volatile organic compounds Bioassays Synthesis of cyanogen iodide 156 157 157 Catalase experiment Phenol red assay 157 158 Allelopathic effects of N itzschia cf. pellucida 158 158 Extraction and structure elucidation of N. cf. pellucida allelochemicals BrCN biosynthesis 161 164 Results Discussion References 166 169 C h a p ter 8 G en era l D iscu ssio n and P e r sp e c tiv e s 173 Diversity - ecosystem functioning and organismal traits 173 C ryptic diversity and ecophysiological trait variation Organismal traits and disturbance Diversity-ecosystem functioning in m icroalgae communities 173 174 175 Evolutionary history and diversity-ecosystem functioning Chemically m ediated biotic interactions 176 177 P e r s p e c tiv e s 180 Next generation BEF experim ents A daptation in marine microalgae Ecological im portance of microalgal halocarbon chem istry 180 180 181 References 182 S u m m a ry S a m e n v a ttin g 189 192 A c k n o w led g em e n ts 197 C u rricu lu m v ita e 199 C hap ter 1 G e n e r a l I n t r o d u c t io n Chapter 1 B io d iv e r s it y a n d E c o s y s t e m F u n c t io n H um anity has become a major biogeochemical force and hum an dom ination of the planet has caused massive destruction and fragm entation of n atu ral habitats, eutrophication, clim ate change, acidification, etc (Vitousek et al., 1997, Tilm an et a l, 2001b). Human activities have resulted in dram atic biodiversity loss and have altered ecosystems on a global scale (Chapin et ah, 2000, Sala et ah, 2000). The estim ates and predictions of this ongoing species loss have raised concern about the consequences of biodiversity loss on ecosystem properties and the goods and services these ecosystems provide to hum anity (Diaz et ah, 2006, W orm et ah, 2006). B io d iv e r s it y Biodiversity is supposed to affect ecosj'stem functioning because the richness and identity of the species present in an ecosystem determ ine the functional traits available in an ecosystem. These functional traits may govern flows of energy and m atter and may influence the response of ecosystems to abiotic conditions such as disturbance and nutrient availability. T h e constituents of biodiversity th a t determ ine the presence and im portance of functional traits in an ecosystem include species richness, their relative abundance and identity, species interactions and the tem poral and spatial variation in these properties (Sym stad et a l, 2003). In order to understand the effects of species loss on ecosystem functioning, we first need a solid knowledge of the actual biodiversity. Assessing diversity is not as trivial as it m ay seem a t first, especially in m icrobial communities. Traditionally, species have been defined on the basis of discontinuities in morphological and ultrastructural properties and can therefore be designated as “morphospecies”. A m ultitude of molecular studies however have dem onstrated th a t traditionally defined morphospecies often consist of several genetically distinct groups (Darling et a l, 2004, H ebert et a l, 2004, Slapeta et a l, 2006). Such genetically distinct b u t morphologically indistinguishable species are called ‘Tryptic 2 Introduction species”, whereas the term “pseudocryptic species” refers to the occurrence of morphologically sim ilar species which a t a closer look do exhibit subtle morphological differences (M ann & Evans, 2007). (Pseudo)cryptic species appear to be widespread, especially am ong microalgae. Studies comparing reproductive, molecular, physiological or ecological characters of several strains belonging to the sam e microalgal morphospecies almost invariably dem onstrated the occurrence of (pseudo)cryptic species (Knowlton, 1993, Mann, 1999, Knowlton, 2000, Saez et a l, 2003, Beszteri et a l, 2005, Slapeta et ah, 2006, A m ato et a l, 2007, Vanormelingen et a l, 2008). As a consequence, our current estim ates of microbial diversity alm ost certainly constitute a serious underestim ation of actual biodiversity (M ann, 1999). As mentioned above, biodiversity determ ines th e functional traits th a t are present in a com m unity. In m ost cases however, it is unknown whether (pseudo)cryptic species differ in their ecological preferences or w hether they are functionally equivalent. This notion is not only im portant for questions relating biodiversity and ecosystem function (B EF), b u t also to understand mechanisms th a t prom ote cryptic species coexistence. Niche differentiation is clearly im portant for species coexistence, but in some cases there is a m arked sim ilarity in coexisting species. Scheffer & van Nes (2006) used a classical Lotka-V olterra model to dem onstrate th a t com peting species can evolve to being more similar, instead of less. According to this model coexisting species are either sufficiently similar or sufficiently different. Only a few studies have verified ecological differentiation between (pseudo)cryptic protist species and suggest possible differentiation in light requirem ents (Rodriguez et a l, 2005), tem perature preference (Boenigk et a l, 2007) and susceptibility to parasites (Mann, 1999). D e v e lo p m e n t o f t h e B io d iv e r s it y E c o s y s t e m F u n c t io n in g F ie ld Ecology historically treated biodiversity as a corollary of the abiotic environm ent and ecosystem functioning (Gross k Cardinale, 2007). One of the m ost im portant ecosystem functions th a t is expected to regulate biodiversity is productivity. P roductivity is used as a proxy for limiting 3 Chapter 1 resource supply rate which regulates the num ber of competing species th a t can locall}r coexist (see species-energy theory and resource ratio theor}' Tilm an, 1977, W right, 1983) During the last two decades this unidirectional view has been altered and diversity is no loriger considered as ju st a result of environm ental influences. On th e contrary, it has been shown th a t diversitj- can regulate h ab itat form ation (Jones et al., 1994, W right & Jones, 2006), elem ental fluxes and productivity (Naeem, 2002, Hooper et al., 2005). This paradigm shift was elicited by the current biodiversity crisis, b u t the idea th a t diversity can influence ecosystem functioning it is not a fully novel view. T he first experim ent linking diversity to productivity dates back to the early 19th century. This experim ent was performed in 1816 by George Sinclair, the head gardener to the Duke of Bedford, in th e country gardens of W oburn Abbey (Bedfordshire, UK). T he design comprised 242 plots which were sown w ith different num bers of plant species. T he aim was to determ ine the role of diversity and under which conditions diversity m atters (e.g. different soil types). This experiment was later described by C harles Darwin in his work "The Origin of Species" and lead him to conclude "it has been experim entally proven th a t, if a plot of ground be sown w ith one species of grass, and a similar plot be sown with several distinct genera of grasses, greater num ber of plants and greater weight of dry herbage can thus be raised" (experiment described in Hector Hooper, 2002). Later on, Elton (1958) and M acA rthur (1955) initiated the debate about the relation between divershy and stability of ecosystems, statin g th a t more diverse com m unities are more resilient and stable. The current focus on biodiversity and ecosystem functioning was instigated by Ehrlich and Ehrlich (1981) who introduced the ‘‘Rivet hypothesis” which compared the diversity of an ecosystem w ith the rivets (clinch-nails) of an airplane. Not devoid of any sense of dram a, the authors suggest th at some redundant rivets could pop out w ithout the wings being compromised, but when rivet loss rises, catastrophe is near. In parallel, a few extinctions in natural com m unities m ay not cause any shift in functioning, b u t the loss of too many species could result in declining ecosystem functioning. Several other forms of B EF relations have been proposed (Naeem, 1998, Schlapfer et al., 1999) such as the proportional (linear) loss hypothesis which states th a t ecosystem functions decline linearly w ith species loss (fig. 1). 4 Introduction T he redundancy hypothesis (W alker, 1992) assumes th a t ecosystem process rates increase w ith increasing diversity, b u t only to a certain level at which new species are redundant and do not supply additional contributions to ecosystem processes. According to this hypothesis, initial species loss has no effect, but a t a certain level of species loss functioning diminishes. T he keystone species hypothesis is based on the observation th a t certain species make a unique and often extrem e contribution to ecosystem function. Another hypothesis predicts th a t the change in ecosystem function is context dependent and therefore idiosyncratic (the idiosyncratic hypothesis, Lawton, 1994). Such p attern could occur when species m ake different contributions depending on e.g. disturbance level, n u trien t availability, etc. Early hvootheses R edundancy Lineai \ X, .V £ i—*-i s. >-r D iscontinuous Rivet !.. Y i Ij "Ï J Q E i.ij" =rMiy Os* \¿ :u ts '. iávsl n Bu div ers::-. loss \ i ! tâI Biodiversity F ig u r e 1. D i f f e r e n t s h a p e s d e s c r i b i n g t h e re la tio n b e t w e e n b i o d iv e r sity a n d e c o s y s t e m f u n c t i o n i n g ( N a e e m e t al., 2 0 0 2 ) . Chapter 1 M o d e r n B E F e x p e r im e n ts More recent experim ental testing of B E F relations started in the 1990s (Naeem et a l, 1994, Tilm an et a l, 1996, Hector et a l, 1999). These BEF studies m anipulated biodiversity under controlled conditions and evaluated the effect of diversity on ecosystem functioning, m ainly primary productivity. Some of the early B EF experim ents (Naeem et al., 1994, T ilm an & Downing, 1994) such as the E C O TR O N experim ent (Naeem et ah, 1994) were criticized by Huston (1997) and Aarssen (1997) because these experim ents m anipulated diversity indirectly and changes in richness were confounded with changes in the species composition. Later on, the experim ental design of most B EF experim ents was optimized so th a t th e to tal initial biomass of producers was held constant across several diversity levels. Furtherm ore, com binations of species should be selected a t random and both species richness and species composition should be replicated (replicated com binatorial design, Giller et a l, 2004). Since the initial B EF experim ents, alm ost 200 papers describing biodiversity ecosystem function experim ents have been published (C ardinale et a l, 2011). This wealth of d a ta has been extensively reviewed (Loreau et a l, 2001, Hooper et al., 2005, Srivastava h Vellend, 2005, Reiss et a l, 2009, Loreau, 2010) and several m eta-analyses have been performed (Balvanera et a l, 2006, C ardinale et a l, 2006, W orm et al., 2006, Cardinale et a l, 2007, C adotte et a l, 2008). T he compiled evidence provides persuasive support for a positive relation between diversity and th e efficiency by which (mainly) plants and algae capture lim iting resources and convert these into biomass (C ardinale et ah, 2011). These experim ents also provided support for the diversity-stability hypothesis which states th a t more diverse com m unities can better resist disturbance(T ilm an & Downing, 1994, M cCann, 2000). Stability incorporates b oth the resilience (speed of recovery) and the actual resistance. T he idea behind this hypothesis is th a t more diverse com m unities harbor more functional traits and th a t environm ental perturbation some species w ith specific com pensate for the reduced performance of other species. 6 during an traits will Introduction M e c h a n ism s In v o lv e d After establishing th e positive biodiversity - ecosystem function relation, one of th e next goals was (and still is) to elucidate th e mechanisms responsible for the positive biodiversity effects. Ecological theory suggests th a t positive B EF relations are caused by three mechanisms: sam pling or selection probability effects, niche com plem entarity and facilitation (Loreau et ah, 2001). T he sam pling effect refers to th e increased probability of the presence of species w ith particular, functionally im portant traits w ith increasing species richness (Huston, 1997). Niche com plem entarity occurs when species have different resource requirem ents, resulting in lower com petition from interspecific neighbours th an from conspecifics. This m ay lead to a more complete resource use by more speciose com m unities (Fridle}', 2001). Facilitation occurs when a species modifies the environm ent in a way favourable for other co­ occurring species (Vanderm eer, 1989). Niche com plem entarity and facilitation are collectively referred to as ‘com plem entarity’, as it is often unclear which mechanism prevails. Although m any researchers claim th a t niche partitioning or facilitation mechanisms are responsible for positive BEF relations, there is rarely conclusive proof. C ardinale et al. (2011) recently performed a m eta-analvsis on BEF experim ents covering 192 peer-reviewed papers and found th a t not even half of the claims for niche com plem entarity are backed by an)' direct statistical test or direct experim ental verification. W ith th e available d ata, they conclude th a t com plem entarity appears to play the prim ary role in driving positive diversity effects in aquatic ecosystems, while in terrestrial ecosystems both com plem entarity and sam pling effects were present. T he occurrence of com plem entarity is generally inferred indirectly by com paring m ixture yields w ith the expected yield based on the m onocultures of the com ponent species (Loreau & Hector, 2001). However, a t present, we know very little about th e biological mechanisms th a t are responsible for niche com plem entarity and facilitation. Therefore we need more direct tests of mechanisms rather th a t merely calculating the difference between expected and observed yield. A better understanding of diversity effects will also be gained by getting better insights in species interactions, both w ith respect to the identity of these interactions and th e interaction strengths. Species interactions (e.g. facilitation, m utualism , com petition, and predation) have the potential to 7 Chapter 1 alter biodiversity effects. Recently, a modelling approach (Kirwan et al., 2009) has been developed to test am ong different hypotheses on how species interactions can modify diversity effects. By observing patterns in species interactions, these models suggest which species m echanisms may occur, b u t they do not produce evidence for specific mechanisms. The only way to estim ate the im portance of a specific species interaction is to experim entally m anipulate the factors th a t influence interactions such as facilitation and competition. ¡Mechanistic evidence for facilitation has been dem onstrated for N-fixing legumes (Tem perton et al., 2007) and larvae of suspension-feeding T richoptera (Cardinale et al., 2002), but further direct evidence for facilitation th a t enhances positive diversity effects is lacking (Bulleri, 2009). B io d iv e r s it y - E c o s y s t e m F u n c t io n in g in E s tu a r in e I n t e r t id a l M ic r o p h y t o b e n t h o s Until recently m ost BEF experim ents were focused on grassland communities, e.g. the ¡Minnesota Cedar Creek biodiversity experiments (Tilm an et a i, 2001a), the B IO D EPTH experim ent (Hector et ah, 1999, Spehn et al., 2005) and the Jena biodiversity experim ent (Roscher et a i, 2004). However, during the last few years researchers have begun to use microbial systems for B EF experiments. These have a few clear advantages for B EF research, such as easy control and replication, the possibility to run experim ents over many generations in a short time period (Bell et al., 2005, Replansky & Bell, 2009, Striebel et a l, 2009, Gravel et a l, 2011). In this thesis I focus on th e biodiversity and ecosystem functioning of estuarine intertidal m icrophytobenthic (benthic microalgae) communities. Estuarine and coastal ecosystems provide some essential ecosystem services such as carbon fixation, food production, disturbance regulation and coastal protection and nu trien t cycling (Costanza et a l, 1997). Despite the fact th a t these h abitats cover relatively small areas on a global scale, their im portance for several biogeochemical processes is disproportionately large (C ostanza et ah, 1997). In m any m arine and estuarine ecosystems intertidal and subtidal Introduction sedim ents support the growth of dense biofilms of benthic microalgae, which can provide up to 50% of the total prim ary production in estuaries (Underwood & Kromkamp, 1999). M icrophytobenthos has m any essential functions for these ecosystems: they are the basis of th e food chain for m any coastal species (M acIntyre et al., 1996), m ediate nu trien t fluxes betw een sedim ents and the w ater column (Sundbäck et a/., 2000) and stabilize sedim ents and as such enhance the resistance of sediment tow ards erosion (de Brouwer et a l, 2000, Yallop et al., 2000). W e focused on benthic diatom s as they are often th e dom inant co nstituent of intertidal mudflats in tem perate regions (Admiraal, 1984). M any descriptive field studies have assessed the diversity of these benthic diatom communities and tried to explain species distribution in term s of a set of abiotic environm ental param eters. O ther studies on the functioning of these biofilms focused m ainly on their im pact on biogeochemical cycles (e.g. H erm an et al., 2000, M iddelburg et al., 2000, Risgaard-Petersen, 2003), sedim ent stabilization (de Brouwer et al., 2000, Yallop et al., 2000) and photophysiology of the microalgae (e.g. Serodio et a l, 1997, B arranguet et a l, 1998, K rom kam p et a l, 1998, Perkins et a l, 2001). Very few studies however combined functional studies w ith information on species identity and richness (but see Nilsson & Sundback, 1996, Underwood & Provot, 2000, Underwood et a l, 2005, Jesus et a l, 2009). Therefore we have a limited ability to link diatom biofilm functioning w ith th e diversity of these diatom communities (Underwood, 2005b). A recent field study by F orster et al. (2006) on intertidal m udflats in the W esterschelde estuary (The Netherlands) showed a site specific relation between prim ary productivity and diversity, w ith either a positive or a unimodal relation between both. Yet, this field study is correlative and has no experim ental control on confounding factors which restricts conclusions about causative relations between diversity and ecosystem functioning. Moreover, such field studies can not give further inform ation on the mechanisms ecosystem functioning. responsible for diversity-m ediated 9 Chapter 1 A im s a n d O u tlin e T h e general objective of this thesis was to obtain a b etter understanding of the diversity and ecosystem functioning, and the relationship between both, in estuarine benthic diatom communities. More specifically, we w anted to find out (1) w hether cryptic diversity occurred in dom inant benthic diatom species (Navicula, phyllepta, Cylindrotheca closterium and C. fusiformis) and how (pseudo)cryptic variation is correlated with ecological differentiation; (2) w hether the ecological niches of these crj'ptic species (i.e. Cylindrotheca spp.) are more conserved among more related lineages th an between more distantly related lineages; (3) how taxonom ic and functional diversity is regulated by hydrodynamic disturbance. (4) to w hat degree and how (positive or negative) diversity affects th e functioning of benthic diatom communities w ith respect to th eir productivity (overall productivity and growth of individual taxa); (5) w hat mechanisms are involved in the observed B EF relations In C h a p ter 2: We investigated genetic, morphological and ecophvsiological variation in estuarine populations of the widespread benthic diatom Navicula phyllepta. Genetic variation was assessed by using sequences of the r&cL, ITS rDNA and 18S rDNA. We assessed ecophysiological differences by determ ining salinity tolerances of the different strains. In C h a p ter 3 we focused on global strains of the diatom genus Cylindrotheca. We composed a set of strains from a wide range of coastal h ab itats, from coastal plankton to sea ice and intertidal m udflats. We determ ined the phylogenetic history of 40 Cylindrotheca strains and quantified their fundam ental tem perature niches using laboratory experim ents. W e then assessed if closely related strains tend to be more sim ilar to each other th an to m ore distantly related ones and therefore if a phylogenetic signal can be found in clim atic niches. C h a p ter 4: describes th e relations between th e hydrodynamic disturbance, species diversity and functional group turnover in estuarine in tertid al m icrophvtobenthos. We composed an extensive d ata set of benthic diatom assemblages from the Scheldt estuary covering a wide range of hydrodynam ic disturbance. W e tested whether diversity - 10 Introduction disturbance p atterns in estuarine m icrophytobenthos are consistent with th e Interm ediate Disturbance Hypothesis. In C h a p ter 5 we experim entally explored the im portance of species diversity for th e productivity of intertidal benthic diatoms. W e used naturally co-occurring diatom species to experim entally assemble communities w ith decreasing diversity. W e measured biodiversity effects by calculating overyielding (occurring when a m ixture of species performs better th a n its m onocultures). W e explored the potential mechanisms for biodiversity effects using the additive partitioning equation of Loreau & Hector (2001) and by conducting an additional culture experim ent to elucidate p otential facilitative interactions between different species. C h a p ter 6: W e dem onstrate th a t cultures of the benthic m arine diatom Nitzschia cf. pellucida exude m etabolites w ith strong allelopathic effects. Com peting diatom species were inhibited in their growth and photosynthetic efficiency. In addition, we show reciprocal, density dependent allelopathic interactions between N. pellucida and two other m arine benthic diatom species, Entom oneis paludosa and Stauronella sp. C h a p ter 7: By chemically characterizing the gas-phase of cultures of the m arine benthic diatom Nitzschia cf. pellucida using headspace solid phase m icroextraction (HS-SPME) coupled to GC-MS, we show th a t this diatom exudes a diverse m ixture of volatile iodinated and brom inated m etabolites including the new n atu ral product cyanogen brom ide (BrCN) which exhibits pronounced allelopathic activity. We show th at allelopathic effects are H 2 O 2 dependent and link BrCN production to haloperoxidase activity. C h a p ter 8: G en eral d isc u ssio n and p ersp ec tiv es 11 Chapter 1 C it e d R e fe r e n c e s Aarssen, L. W. 1997. High productivity in grassland ecosystems: effected by species diversity or productive species? Oikos 80:183-84. Adm iraal, W. 1984. The ecology of estuarine sedim ent-inhabiting diatom s. In: Round, F. & C hapm an, G. [Eds.] Progress in phycological research. Biopress, Bristol, pp. 269-322. Am ato, A., K ooistra, W ., Ghiron, J. H. L., Mann, D. G., Proschold, T. & M ontresor, M. 2007. Reproductive isolation am ong sym patric cryptic species in m arine diatom s. Protist 158:193-207. Balvanera, P., Pfisterer, A. B., B uchm ann, N., He, J. S., Nakashizuka, T ., Raffaelli, D. & Schmid, B. 2006. Quantifying th e evidence for biodiversity effects on ecosystem Ecology Letters 9:1146-56. functioning and services. B arranguet, C., Kromkamp, J. & Peene, J. 1998. F actors controlling prim ary production and photosynthetic characteristics of in tertid al m icrophytobenthos. M arine Ecology-Progress Series 173:117-26. Bell, T ., Newman, J. A., Silverman, B. W ., T urner, S. L. & Lilley, A. K. 2005. T he contribution of species richness and composition to bacterial services. Nature 436:1157-60. Beszteri, B., Acs, E. & Medlin, L. K. 2005. Ribosomal DNA sequence variation am ong sym patric strains of the Cyclotella meneghiniana complex (Bacillariophyceae) reveals cryptic diversity. Protist 156:317-33. Boenigk, J., Jost, S., Stoeck, T. & Garstecki, T. 2007. Differential therm al adaptation of clonal strains of a protist morphospecies originating from different clim atic zones. Environmental Microbiology 9:593-602. Bulleri, F. 2009. Facilitation research in m arine systems: state of the art, emerging patterns and insights for future developments. Journal o f Ecology 97:1121-30. C adotte, hl. W ., Cardinale, B. J. h Oakley, T. H. 2008. Evolutionary history and the effect of biodiversity on plant productivity. Proceedings of the National Academ y o f Sciences of the United States o f Am erica 105:17012-17. 12 Introduction Cardinale, B. J., M atulich, K., Hooper, D. U., Byrnes, J. E., Duffy, E., Gamfeldt, L., Balvanera, P ., O ’Connor, M. I. & Gonzalez, A. 2011. T he functional role of producer diversity in ecosystems. A m erican Journal o f Botany 98. Cardinale, B. J., Palm er, hi. A. & Collins, S.' L. 2002. Species diversity enhances ecosystem functioning through interspecific facilitation. Nature 415:426-29. Cardinale, B. J., Srivastava, D. S., Duffy, J. E., W right, J. P., Downing, A. L., Sankaran, M. & Jouseau, C. 2006. Effects of biodiversity on the functioning of trophic groups and ecosystems. Nature 443:989-92. Cardinale, B. J., W right, J. P ., C adotte, M. W ., Carroll, I. T ., Hector, A., Srivastava, D. S., Loreau, hi. & Weis, J. J. 2007. Im pacts of plant diversity on biomass production increase through tim e due to com plem entary resource use: A meta-analysis. Proceedings of the National Academ y of Sciences 104:18123-28. Chapin, F. S., Zavaleta, E. S., Eviner, V. T ., Naylor, R. L., Vitousek, P. M., Reynolds, H. L., Hooper, D. U., Lavorel, S., Sala, O. E., Hobbie, S. E., Mack, hi. C. & Diaz, S. 2000. Consequences of changing biodiversity. Nature 405:234-42. Costanza, R., dArge, R., deG root, R., Färber, S., Grasso, M., Hannon, B., Limburg, K., Naeem, S., Oneili, R. V., Paruelo, J., Raskin, R. G., Sutton, P. & vandenBelt, hi. 1997. T he value of the world's ecosystem services and n atu ral capital. Nature 387:253-60. Darling, K. F., Kucera, hi., Pudsey, C. J. & W ade, C. hi. 2004. Molecular evidence links cryptic diversification in polar planktonic protists to quaternary clim ate dynamics. Proceedings o f the National Academ y of Sciences o f the United States o f Am,erica 101:765762. de Brouwer, J. F. C., Bjelic, S., de Deckere, E. & Stal, L. J. 2000. Interplay between biology and sedimentology in a m udflat (Biezelingse Ham , W esterschelde, T he N etherlands). Continental Shelf Research 20:1159-77. Diaz, S., Fargione, J., Chapin, F. S. & Tilm an, D. 2006. Biodiversity loss threatens hum an well-being. Plos Biology 4:1300-05. Ehrlich, P. R. & Ehrlich, A. H. 1981. Extinction: The Causes and Consequences o f the Disappearance o f Species. Random House, New York, xiv, 305. 13 Chapter 1 Elton, C. S. 1958. The Ecology o f Invasions by Anim als and Plants. ¡Methuen & Co. Ltd, London, Forster, R. M., Creach, V., Sabbe, K., Vyverm an, W. & Stal, L. J. 2006. Biodiversity-ecosystem function relationship in m icrophytobenthic diatom s of the W esterschelde estuary. Marine Ecology-Progress Series 311:191-201. Fridley, J. D. 2001. T he influence of species diversity on ecosystem productivity: how, where, and why? 0?7cos:514-26. Giller, P. S., Hillebrand, H., Berninger, U. G., Gessner, M. O., Hawkins, S., Inchausti, P., Inglis, C., Leslie, H., M almqvist, B., Monaghan, M. T ., Morin, P. J. & O'M ullan, G. 2004. Biodiversity effects on ecosystem functioning: emerging issues and their experimental test in aquatic environm ents. Oikos 104:423-36. Gravel, D., Bell, T., Barbera, C., Bouvier, T ., Pommier, T., Venail, P. & M ouquet, N. 2011. Experim ental niche evolution alters the strength of the diversity-productivity relationship. Nature 469:89-92. Gross, K. & Cardinale, B. J. 2007. Does species richness drive community production or vice versa? Reconciling historical and contem porary paradigm s in com petitive communities. Am erican Naturalist 170:207-20. Hebert, P. D. N., Penton, E. H., Burns, J. M., Janzen, D. H. & Hallwachs, W. 2004. T en species in one: DNA barcoding reveals cryptic species in the neotropical skipper butterfly Astraptes fulgerator. Proceedings o f the Na.tiona.1 Academ y o f Sciences of the United States o f A m erica 101:14812-17. Hector, A. & Hooper, R. 2002. Ecology - Darwin and the first ecological experim ent. Science 295:639-40. Hector, A., Schmid, B., Beierkuhnlein, C., Caldeira, M. C., Diemer, M., Dimitrakopoulos, P. G., Finn, J. A., Freitas, H., Giller, P. S., Good, J., Harris, R., Hogberg, P., Huss-Danell, K., Joshi, J., Jum pponen, A., Korner, C., Leadley, P. W ., Loreau, M., Minns, A., Mulder, C. P. H., O 'D onovan, G., Otway, S. J., Pereira, J. S., Prinz, A., Read, D. J., Scherer-Lorenzen, M., Schulze, E. D., Siam antziouras, A. S. D., Spehn, E. M., Terry, A. C., Troum bis, A. Y., W oodward, F. I., Yachi, S. & Lawton, J. H. 1999. P lant diversity and productivity experim ents in European grasslands. Science 286:1123-27. 14 Introduction Herman, P. M. J., Middelburg, J. J., W iddows, J., Lucas, C. H. & Heip, C. H. R. 2000. Stable isotopes' as trophic tracers: combining field sam pling and m anipulative labelling of food resources for macrobenthos. M arine Ecology-Progress Series 204:79-92. Hooper, D. U., Chapin, F. S., Ewel, J. J., Hector, A., Inchausti, P., Lavorel, S., Lawton, J. H., Lodge, D. M., Loreau, M., Naeem, S., Schmid, B., Setala, H., S}rm stad, A. J., Vanderm eer, J. & W ardle, D. A. 2005. Effects of biodiversity on ecosystem functioning: A consensus Monographs 75:3-35. of current knowledge. Ecological Huston, M. A. 1997. Hidden treatm ents in ecological experiments: re­ evaluating the ecosystem function of biodiversity. Oecologia 110:449-60. Jesus, B., B rotas, V., Ribeiro, L., Mendes, C. R., C artaxana, P. & P aterson, D. hi. 2009. A daptations of m icrophytobenthos assemblages to sediment type and tidal position. Continental S h elf Research 29:1624-34. Jones, C. G., Lawton, J. H. & Shachak, M. 1994. Organisms as ecosystem engineers. Oikos 69:373-86. Kirwan, L., Cormolly, J., Finn, J. A., Brophy, C., Luscher, A., Nyfeler, D. <k Sebastia, hi. T . 2009. D iversity-interaction modeling: estim ating contributions of species identities and interactions to ecosystem function. Ecology 90:2032-38. Knowlton, N. 1993. Sibling species in the sea. A nnual Review of Ecology and System atics 24:189-216. Knowlton, N. 2000. Molecular genetic analyses of species boundaries in th e sea. Hydrobiologia 420:73-90. K rom kam p, J., B arranguet, C. & Peene, J. 1998. D eterm ination of m icrophytobenthos PSII quantum efficiency and photosynthetic activity by m eans of variable chloroplryll fluorescence. Marine Ecology-Progress Series 162:45-55. Lawton, J. 1994. W hat do species do in ecosystems? Oikos 71:367-74. Loreau, hi. 2010. Linking biodiversity and ecosystems: tow ards a unifying ecological theory. Philosophical Transactions o f the Royal Society B-Biological Sciences 365:49-60. Loreau, hi. & Hector, A. 2001. P artitioning selection and com plem entarity in biodiversity experiments. Nature 412:72-76. Loreau, hi., Naeem, S., Inchausti, P., Bengtsson, J., Grime, J. P ., Hector, A., Hooper, D. U., Huston, hl. A., Raffaelli, D., Schmid, B., 15 Chapter 1 T ilm an, D. & W ardle, D. A. 2001. Ecology - Biodiversity and ecosystem functioning: C urrent knowledge and future challenges. Science 294:804-08. M acA rthur, R. 1955. Fluctuations of anim al populations, and a measure of com m unity stability. Ecology 36:533-36. M acIntyre, H. L., Geider, R. J. & Miller, D. C. 1996. M icrophytobenthos: T he ecological role of the "secret garden" of unvegetated, shallow-water marine habitats .1. D istribution, abundance and prim ary production. Estuaries 19:186-201. M ann, D. G. 1999. T he species concept in diatom s. Phycologia 38:437-95. M ann, D. G. k Evans, K. M. 2007. Molecular genetics and th e neglected a rt of diatomics. In: Brodie, J. k Lewis, J. M. [Eds.] Unravelling the Algae: The Past, Present and Future o f Algal Molecular System,atics. CRC Press, London, pp. 231-65. M cCann, K. S. 2000. The diversity-stability debate. Nature 405:228-33. M iddelburg, J. J., B arranguet, C., Boschker, H. T. S., Herman, P. hi. J., Moens, T. k Heip, C. H. R. 2000. T he fate of intertidal m icrophytobenthos carbon: An in situ Lim nology and Oceanography 45:1224-34. Naeem, S. 1998. Species redundancy Conservation Biology 12:39-45. and C-13-labeling study. ecosystem reliability. Naeem, S. 2002. Ecosystem consequences of biodiversity loss: The evolution of a paradigm . Ecology 83:1537-52. Naeem, S., Loreau, M. k Inchausti, P. 2002. Biodiversity and ecosystem functioning: th e emergence of a synthetic ecological framework. In: Loreau, hi., Naeem, S. k Inchausti, P. [Eds.] Biodiversity and ecosystem, functioning: synthesis and perspectives. Oxford University Press, New York, pp. 3-11. Naeem, S., Thom pson, L. J., Lawler, S. P., Lawton, J. H. & Woodfin, R. M. 1994. Declining biodiversity can alter the perform ance of ecosystems. Nature 368:734-37. Nilsson, C. k Sundback, K. 1996. Amino acid uptake in natural m icrophytobenthic assemblages studied by m icroautoradiography. Hydrobiologia 332:119-29. Perkins, R. G., Underwood, G. J. C., B rotas, V., Snow, G. C., Jesus, B. k Ribeiro, L. 2001. Responses of m icrophytobenthos to light: prim ary production and carbohydrate allocation over an emersion period. M arine Ecology-Progress Series 223:101-12. 16 Introduction Reiss, J., Bridle, J. R., M ontoya, J. M. & W oodward, G. 2009. Emerging horizons in biodiversity and ecosystem functioning research. Trends in Ecology & Evolution 24:505-14. Replansky, T. & Bell, G. 2009. T he relationship between environm ental complexity, species diversity and productivity in a natural reconstructed yeast com m unity. Oikos 118:233-39. Risgaard-Petersen, N. 2003. Coupled nitrification-dénitrification in autotrophic and heterotrophic estuarine sediments: On the influence of benthic microalgae. Limnology and Oceanography 48:93-105. Rodriguez, F., Derelle, E., Guillou, L., Le Gall, F., V aulot, D. &, Moreau, H. 2005. Ecot}'pe diversity Ostreococcus (C hlorophyta, Microbiology 7:853-59. in the m arine Prasinophyceae). picoeukaryote Environm ental Roscher, C., Schumacher, J., Baade, J., Wilcke, W ., Gleixner, G., Weisser, W. W ., Schmid, B. & Schulze, E. D. 2004. T he role of biodiversity for element cycling and trophic interactions: an experim ental approach in a grassland community. Basic and Applied Ecology 5:107-21. Saez, A. G., P robert, I., Geisen, M., Quinn, P ., Young, J. R. & Medlin, L. K. 2003. Pseudo-cryptic spéciation in coccolithophores. Proceedings o f the National Academy o f Sciences o f the United States o f Am erica 100:7163-68. Sala, O. E., Chapin, F. S., Arm esto, J. J., Berlow, E., Bloomfield, J., Dirzo, R., Huber-Sanwald, E., Fluenneke, L. F., Jackson, R. B., Kinzig, A., Leemans, R., Lodge, D. M., Mooney, H. A., Oesterheld, M., Poff, N. L., Sykes, M. T., W alker, B. H., W alker, M. & W all, D. H. 2000. Biodiversity - Global biodiversity scenarios for the year 2100. Science 287:1770-74. Scheffer, M. & van Nes, E. II. 2006. Self-organized sim ilarity, the evolutionary emergence of groups of similar species. Proceedings o f the National Academ y o f Sciences o f the United States of A m erica 103:6230-35. Schlapfer, F., Schmid, B. & Seidl, L. 1999. Expert estim ates about effects of biodiversity on ecosystem processes and services. Oikos 84:34652. Serodio, J., daSilva, J. M. &; C atarino, F. 1997. Nondestructive tracing of m igratory rhythm s of intertidal benthic microalgae using in vivo chlorophyll a fluorescence. Journal of Phycology 33:542-53. 17 Chapter 1 Slapeta, J., Lopez-Garcia, P. & Moreira, D. 2006. Global dispersal and ancient cryptic species in the sm allest m arine eukaryotes. Molecular Biology and Evolution 23:23-29. Spehn, E. M., Hector, A., Joshi, J., Scherer-Lorenzen, M., Schmid, B., Bazeley-W hite, E., Beierkuhnlein, C., Caldeira, M. C., Diemer, hl., Dimitrakopoulos, P. G., Finn, J. A., Freitas, H., Giller, P. S., Good, J., Harris, R., Hogberg, P., Huss-Danell, K., Jum pponen, A., Koricheva, J., Leadley, P. W ., Loreau, hi., Minns, A., Mulder, C. P. H., O'D onovan, G., O tway, S. J., Palm borg, C., Pereira, J. S., Pfisterer, A. B., Prinz, A., Read, D. J., Schulze, E. D., Siam antziouras, A. S. D., Terry, A. C., Troum bis, A. Y., W oodward, F. I., Yachi, S. & Lawton, J. H. 2005. Ecosystem effects of biodiversity m anipulations in European grasslands. Ecological Monographs 75:37-63. Srivastava, D. S. h Vellend, M. 2005. Biodiversity-ecosystem function research: Is it relevant to conservation? Annual Review of Ecology Evolution and Systernatics 36:267-94. Striebel, M., Behl, S., Diehl, S. & Stibor, H. 2009. Spectral Niche Com plem entarity and C arbon Dynamics in Pelagic Ecosystems. A m erican N aturalist 174:141-47. Sundbäck, K., Miles, A. & Goransson, E. 2000. Nitrogen fluxes, denitrification and th e role of m icrophytobenthos in microtidal shallow-water sediments: an annual study. M arine EcologyProgress Series 200:59-76. Symstad, A. J., Chapin, F. S., Wall, D. H., Gross, K. L., Huenneke, L. F., M ittelbach, G. G., Peters, D. P. C. & Tilman, D. 2003. Long­ term and large-scale perspectives on the relationship between biodiversity and ecosystem functioning. Bioscience 53:89-98. Tem perton, V. hl., hlwangi, P. N., Scherer-Lorenzen, hi., Schmid, B. & Buchm ann, N. 2007. Positive interactions between nitrogen-fixing legumes and four different neighbouring species in a biodiversity experim ent. Oecologia 151:190-205. Tilm an, D. 1977. Resource Com petition between Planktonic Algae Experim ental and Theoretical Approach. Ecology 58:338-48. Tilm an, D. & Downing, J. A. 1994. Biodiversity and stability in grasslands. N ature 367:363-65. Tilm an, D., Fargione, J., Wolff, B., D'A ntonio, C., Dobson, A., Howarth, R., 18 Schindler, D., Schlesinger, W. H., Simberloff, D. $¿ Introduction Swackhamer, D. 2001b. Forecasting agriculturally driven global environm ental change. Science 292:281-84. Tilm an, D., Reich, P. B., Knops, J., W edin, D., Mielke, T. & Lehman, C. 2001a. D iversity and productivity in a long-term grassland experim ent. Science 294:843-45. Tilm an, D., W edin, D. & Knops, J. 1996. P roductivity and sustainability influenced by biodiversity in grassland ecosystems. Nature 379:718-20. Underwood, G. J. C. 2005b. Microalgal (M icrophvtobenthic) biofilms in shallow coastal waters: How im portant are species? Proceedings o f the California academy o f sciences 56:162-69. Underwood, G. J. C. &¿ Kromkamp, J. 1999. P rim ary production by phytoplankton and m icrophytobenthos in estuaries. Advances in Ecological Research, Vol 29. pp. 93-153. Underwood, G. J. C., Perkins, R. G., Consalvey, M. C., Hanlon, A. R. M., Oxborough, K., Baker, N. R. & Paterson, D. hi. 2005. P a tte rn s in m icrophytobenthic prim ary productivit}': Speciesspecific variation in m igratory rhythm s and photosynthetic efficiency in mixed-species biofilms. Limnology and Oceanography 50:755-67. Underwood, G. J. C. & Provot, L. 2000. Determ ining th e environm ental preferences of four estuarine epipelic diatom taxa: growth across a range of salinity, nitrate and ammonium conditions. European Journal o f Phyeology 35:173-82. Vanderm eer, J. H. 1989. The Ecology o f Intercropping. Cam bridge U niversity Press, Cambridge,UK, Vanormelingen, P ., Chepurnov, V. A., M ann, D. G., Sabbe, K. & Vyverm an. W . 2008. Genetic divergence and reproductive barriers am ong morphologically heterogeneous sym patric clones of E unotia bilunaris sensu lato (Bacillariophyta). Protist 159:7390. Vitousek, P. hi., hloonev, H. A., Lubchenco, J. & Melillo, J. M. 1997. H um an dom ination of E arth 's ecosystems. Science 277:494-99. W alker, B. H. 1992. Biodiversity and ecological redundancy. Conservation Biology 6:18-23. W orm, B., Barbier, E. B., Beaum ont, N., Duffy, J. E., Folke, C., Halpern, B. S., Jackson, J. B. C., Lotze, H. K., Micheli, F., P alum bi, S. R., Sala, E., Selkoe, K. A., Stachowicz, J. J. & 19 Chapter 1 W atson, R. 2006. Im pacts of biodiversity loss on ocean ecosystem services. Science 314:787-90. W right, D. H. 1983. Species-Energy Theory - an Extension of SpeciesA rea Theory. Oikos 41:496-506. W right, J. P. & Jones, C. G. 2006. T he concept of organisms as ecosystem engineers ten years on: Progress, lim itations, and challenges. Bioscience 56:203-09. Yallop, M. L., Paterson, D. M. & W ellsbury, P. 2000. Interrelationships between rates of microbial production, exopolymer production, microbial biomass, and sedim ent stability in biofilms of intertidal sedim ents. Microbial Ecology 39:116-27. 20 C hap ter 2 E c o lo g ic a l D if f e r e n t ia t io n b e t w e e n S y m p a t r ic P s e u d o c r y p t ic S p e c ie s in t h e E s t u a r in e B e n t h i c D i a t o m N a v ic u la p h yllep ta ( B a c illa r io p h y c e a e ) Modified from published article: Vanelslander, B., Créach, V., Vanormelingen, P., E rnst, A., Chepurnov, V.A., Sahan, E., Muyzer, G., Stal, L.J., Vyverman, W . & Sabbe, K. (2009) Ecological differentiation between sym patric pseudocryptic species in the estuarine benthic diatom Navicula, phyllepta (Bacillariophyceae). Journal of Phycology, 45, 12781289. 21 Chapter 2 A b str a c t T he occurrence of cryptic and pseudocryptic species, often living in svm patry, is widespread am ong microalgae. T his phenomenon raises im p o rtan t questions about niche partitioning between these closei}' related species. To date, however, few studies have addressed the ecological mechanisms underlying sym patry in cryptic and pseudocryptic species. As a result, we have only a limited understanding of th e factors th a t govern their distribution along environm ental gradients. Here, we used the ribosomal internal transcribed spacer (ITS), 18S rRNA gene, and the RUBISCO large subunit (rbcL) chloroplast gene sequence d ata together w ith cell wall morphology to show th a t estuarine populations of th e widespread and common benthic diatom Navicula phyllepta Kiitz. consist of pseudocryptic species. G row th ra te m easurem ents in function of salinity showed th a t N. phyllepta strains assigned to the different species differed in their tolerance to low salinities (< 5 practical salinity units, psu), which was reflected by their different (but widely overlapping) distribution in the W esterschelde estuary (the N etherlands). Multiple regression analyses of the factors determ ining the abundance of the different species in field samples revealed th a t, in addition to salinity, sedim ent type and ammonium concentrations were probably equally im portant. Our results show th a t N. phyllepta sensu lato comprises different species with specialized ecophysiological characteristics rather th a n generalists with a broad adaptability to different environm ental conditions. 22 Pseudocryptic species in N avicula phyllepta I n tr o d u c t io n Polyphasic taxonomic studies based on morphology, molecular data, and reproductive com patibility have led to th e recognition th at (pseudo)cryptic diversity is widespread am ong microalgae (M ann 1999, Sáez et a l 2003, Slapeta et al. 2006, Vanormelingen et al. 2008). The term “ cryptic diversity” refers to the existence of species th a t are morphologically indistinguishable, but genetically distinct. In man)- cases, the results of DNA sequence analyses initiated more detailed morphological studies, which often revealed subtle morphological differences between species, which are then called “ pseudocryptic species” (M ann and Evans 2007). In some cases, th e recognition of this hidden diversity has resulted in the narrowing of the geographic distributions or ecological am plitudes of species (Rodriguez et al. 2005, Casteleyn et al. 2008, Kooistra et al. 2008). Moreover, an increasing num ber of studies provide evidence th a t (pseudo)cryptic microalgal species can also occur in sym patry (M ann et al. 2004, Beszteri et al. 2005). Their coexistence could be due to fine-tuned niche differentiation, including different preferences or tolerances w ith respect to small-scale spatial and tem poral environm ental variation, evolution of different life histories (e.g., in tim ing of sexual reproduction or the capability of forming resting spores), or differential susceptibility to predators or parasites (M ann 1999). Alternatively, cryptic species may lack obvious ecological differentiation, and random drift and dispersal processes m ay regulate their relative abundances (Hubbell 2001). Few studies have addressed the ecological mechanisms underlying sym patry in (pseudo)cryptic species. As a result, there is a limited understanding of which factors govern their distribution along environm ental gradients. Ideall}r, one should combine detailed field studies on the distribution of cryptic or pseudocryptic species with ecophysiological experim ents to test whether th e presence of a species at a specific site is due to its tolerance to certain environm ental conditions or w hether other factors (such as biotic interactions or neutral mechanisms) are responsible. However, assessing the distribution of cryptic or pseudocryptic species in nature has by definition been ham pered by troublesom e or even impossible identifications using stan d ard microscopic approaches (M ann et al. 2004). 23 Chapter 2 Recently, it has become possible to use species-specific molecular probes, which holds great promise to monitor (pseudo)cryptic species in natural conditions where they are otherwise difficult to detect (Créach et al. 2006). Laboratory experim ents, on the other hand, have shown considerable interclonal variation in the physiological traits of m any microalgal morphospecies (W ood and Leatham 1992). As m ost of these experim ents have been conducted before DNA identification methods were available, it is by no means clear w hether the ecophysiological differences can be attrib u ted to intraspecific variation or to cryptic species diversity. A study th a t has correlated ecophysiological differences w ith genetic diversity was conducted using D itylum brigthwellii (Rynearson and A rm brust 2000). A nother illustrative example is Skeletonema costatum sensu lato (s. 1.). This diatom has been thoroughly studied and was considered to be physiologically plastic (Brand 1984), genotypically diverse (Gallagher 1982), and cosmopolitan. Yet, more recent phylogenetic and accurate morphological studies showed th a t S. costatum s. 1. contains several species th a t seem to be geographically restricted (Sarno et al. 2005, Kooistra et al. 2008). In some cases, the different distributions suggest ecological differentiation between the different species (Sarno et al. 2005, Kooistra et al. 2008). Estuaries are suitable model systems for studying niche partitioning and changes in species composition along environm ental gradients because of th e pronounced gradients in, for example, salinity, turbidity, and nutrients. Sibling species of m any estuarine tax a have partly overlapping b u t distinct distributions along the salinity gradient (Bilton et al. 2002). In contrast, some common estuarine diatom s (N . phyllepta, N. salinarum, N. gregaria) apparently occur along whole estuarine gradients, and species exhibit a broad adaptability to different environm ental conditions (K ram m er and Lange-Bertalot 1986). N. phyllepta is one of the m ost commonly reported diatom s from brackish and m arine sedim ents worldwide (e.g., Underwood et al. 1998, Clavero et al. 2000, Sabbe et al. 2003). It is particularly abundant in intertidal estuarine and littoral sedim ents in northw est Europe, where it is often the dom inant constituent of m icrophytobenthic biofilms (Sabbe and Vyverman 1991, Underwood et al. 1998, Haubois et al. 2005). N. phyllepta has been reported from a broad range of salinities, from electrolyte-rich freshwaters (Kram m er and Lange-Bertalot 1986) to hypersaline environm ents w ith salinities up to 75 psu (Clavero et al. 2000). It also shows extensive morphological variability, in particular, 24 Pseudocryptic species in N avicula phyllepta w ith respect to size and shape (K ram m er and Lange-Bertalot 1986, W itkowski et al. 2004). Recent sequence analysis of th e ribosomal IT S ! region in a num ber of N. phyllepta clones revealed the presence of two distinct ITS1 sequence clusters (Créach et al. 2006). A quantitative real­ tim e P C R (qPC R ) approach showed th a t both clades exhibit a distinct b u t overlapping distribution within the W esterschelde estuary (Créach et al. 2006). However, because of the covariation of salinity with m any other environm ental gradients in th e estuary (Ogilvie et al. 1997), it is unclear which factors govern th e distribution of th e two clades of N. phyllepta. O ur aim was to further resolve th e species boundaries w ithin N. phyllepta s. 1. an d to determ ine the ecological preferences of the different cryptic or pseudocryptic species. We first performed a phylogenetic analysis by investigating and com paring variation patterns in three commonly used molecular markers w ith differing rates of sequence evolution. W e com plem ented this analysis w ith morphological m easurem ents. W e th en assessed how (pseudo)cryptic variation was related to ecological characteristics. This was done by using a combined approach in which we (1) determ ined the grow th of a subset of strains in response to different salinities and (2) identified the abiotic factors th a t govern the field distribution of the different species in th e Westerschelde estuary. M a t e r ia l a n d M e t h o d s S a m p lin g s ite s a n d c lo n al c u ltu re s In addition to the 11 A. phyllepta strains used by Créach et al. (2006) (strain designations beginning w ith “ C CY ” and “ C O ”) from the W esterschelde estuary (the Netherlands) (Fig. 1), th e Ems-Dollard estuary on th e D utch-G erm an border, and the Colne estuary (Essex, UK), 10 additional clonal cultures were isolated from sedim ent samples taken in th e W esterschelde estuary (sampling localities and sampling dates in T able 1). T he W esterschelde estuary is the 58 km long D utch part of the 160 km long Scheldt estuary. The W esterschelde is well mixed and characterized by a complex morphology w ith tidal channels surrounding 25 Chapter 2 several large intertidal flats and salt m arshes. T he residence tim e of the w ater in th e estuary ranges from 1 to 3 m onths, depending on the season, causing a salinity gradient (ranging from 3 to 32 psu over a distance of 58 km) th a t is prim arily determ ined by th e m agnitude of th e river discharge and, to a lesser extent, th e tidal oscillation, which is of smaller am plitude (Meire et al. 2005). T he Ems-Dollard estuary is one of th e larger estuaries in the W adden Sea (Peletier 1996). T he brackish zone is -3 0 km long and contains large intertidal mudflats. T he Colne estuary (UK) is a smaller estuary (-1 6 km long) and is m uddy and highly turbid. T he Colne is highly eutrophic, and there are pronounced gradients in nutrient concentrations inversely related to th e salinity gradient (T hornton et al. 2002). Identification of diatom s (cultures and valves in natural samples) as N. phyllepta was based on illustrations of the lectotype shown in plate 32 and figure 5 in K ram m er and Lange-Bertalot (1986) and in figure 28 in Cox (1995). T he salinities (average ± SD, based on m easurem ents between April 2002 and Septem ber 2003) a t th e four Westerschelde sam pling sites, Appelzak (51°22’38” N, 4°14’32” E), B ath (51°23’58” N, 4°12’36” E), Biezelingsche Ham (51°26’50” N, 3°55’33” E) and Paulina Schor (51°20’58” N, 3°43’37” E), were 8.8 ± 4.7 (n = 18), 13.6 ± 3.8 (n = 9), 20.0 ± 3.8 (n = 18), and 22.7 ± 6.3 (n = 18) psu, respectively. N o rth S e a WS â– NL BH AZ PS 5 km F ig u r e 1. poly­ haline mesohaline oligo­ halina M a p o f t h e W e s t e r s c h e l d e e s t u a r y ( t h e N e t h e r l a n d s ) w i t h t h e d if fe r e n t s a m p l i n g l o c a t i o n s f r o m w h i c h Navicula p h y lle p ta s t r a i n s w e r e i so la te d . P S , P a u l i n a S c h o r ; B H , B i e z e l in g s c h e H a m ; B a , B a th ; A Z , A p p e l z a k . T h e o l i g o h a l i n e z o n e r a n g e s f r o m 0 .5 t o 5 psu ; t h e m e s o h a l i n e z o n e , f r o m 5 t o 18 psu; a n d t h e p o l y h a l i n e zo ne, f r o m 18 t o 3 0 psu. 26 Pseudocryptic species in Navicula, phyllepta Clonal cultures were established as described in Chepurnov et al. (2002) and grown in artificial seaw ater (U ltram arine Sea Salt; W aterlife Research LTD, Middlesex, UK) w ith a salinity of 30 ± 1 psu, enriched w ith F / 2 nutrients (Guillard 1975). T he possibility of a bias to clonal cultures ad apted to 30 psu cannot be fully excluded, but it is considered unlikely because estuarine benthic diatom s are known for their ability to grow a t a wide range of salinities. Moreover, we did not find different m orphotypes of N. phyllepta in the field com pared to th e isolated strains (see R esults). T he cultures were kept in 24-well plates (Greiner Bio-One, Frickenhausen, Germany) a t 18 ± 0.3°C w ith a 12:12 light:dark (L:D) period and 25-30 pmol photons . m 'V 1 from cool-white fluorescent tubes (Philips, Eindhoven, th e N etherlands, TLD 18W). T he cultures were transferred every 2 weeks to fresh medium. D N A a m p lific a tio n a n d se q u e n c in g T hree DNA regions w ith differing rates of sequence evolution were selected for sequencing, th a t is, the ITS region (consisting of ITS1, 5.8S rR N A gene, and ITS2), 18S rRNA gene (which is transcribed into the ribosom al SSU), and a 457 bp fragm ent of th e chloroplast RUBISCO large subunit gene (rbcL) (Table 1). T he non-coding ribosomal ITS region is highly variable and is often used to investigate variation within populations. T he rbcL and 18S rRNA genes are more slowly evolving. In raphid diatom s, rbcL evolves slightly faster th a n the 18S rRNA gene (Evans et al. 2008). Cells for DNA extraction were harvested from exponentially growing cultures and pelleted by centrifugation (Sigma Laborzentrifugen GmbH, Osterode am Harz, Germ any, 4K15 centrifuge). For the am plification and sequencing of the 18S rRNA gene and the ribosomal ITS region, DNA was extracted using the bead-beating m ethod with phenol extraction and ethanol precipitation as described by Zw art et al. (1998). For rbcL amplification and sequencing, DNA was extracted using a commercial kit (Mo Bio Lab. Inc., Carlsbad, CA, USA). T he ITS of 11 strains (accession num bers of these strains in Table 1 are not in bold) was cloned and sequenced earlier (Créach et al. 2006). T he P C R products of th e ITS were cloned in P C R II-TO PO vector T A cloning kit (Invitrogen, B reda, th e Netherlands) according to the m anufacturer’s instructions. For nine strains (Table 1), two to four clones were sequenced and analyzed. F or the other nine strains (strain designations startin g w ith “ A P ” or 27 Chapter 2 “ B A ” ), th e ribosomal ITS1-5.8S-ITS2 region was amplified by PCR using the universal prim ers ITS4 (reverse primer located a t the beginning of th e 28S rRNA gene, W hite et, al. 1990) and 1800F (forward primer located a t the end of the 18S rRNA gene, Friedl 1996). The P C R reaction m ixture contained 1 pL of tem plate DNA, dN T P s at 0.2 mM, each prim er at 0.5 pM, 5 pL 10 X P C R buffer (100 mM Tris-HCl [pH 9], 500 mM KC1), and 2.5 U T aq Polym erase (Qiagen, Hilden, Germ any) and was adjusted to a final volume of 50 pL w ith sterile w ater (Sigma, St. Louis, MO, USA). P C R reaction conditions consisted of an initial preheating step of 3 min a t 94°C followed by 40 cycles of 94°C dénaturation for 1 min, 55°C annealing for 2 min, and 72°C extension for 1 min. Finally, there was a 72°C extension for 5 min. Sequencing was perform ed using a Perkin-E lm er ABI Prism 377 autom ated DNA sequencer (Applied Biosystems, F oster C ity, CA, USA). T he sequencing prim ers were DITS2 and DITS3 (Zechman et al. 1994), and sequence coverage was forward and reverse. For the 18S rRNA gene, forward prim ers were DSSU4 (5’A A C C TG G TT G A TTC TG C C A G TA G -3’), DSSU550 (5’-A A G TC TG G T GCCAGCAGCC-3’), and DSSU1119 (5’-GGCTG AAACTTAA AGAAA T T G -3’). Reverse primers were DSSU376 (5’-TC TC A G G C TC C C T C TC CG -3’), DSSU1180 (S’-TCCA CCA A CTA A G AACGG CC-3’) , DSSU1613 (5’-GTACAAAGGGCAG G G A CG TA -3’), and DSSU1860 (S’-CTGCAG GTTCA CCTA CG G A A A CC-3’). For the PC R , th e reaction m ixture contained 1-5 pL of tem plate DNA, dN T Ps a t 0.2 mM, prim ers a t 1 pM each, 2.5 U T aq poljmierase, and P C R buffer and was adjusted to a total volume of 50 pL with sterile water. P C R reaction conditions consisted of an initial 94°C dénaturation during 5 min followed by 40 cycles of 94°C dén atu ratio n for 30s, 55°C annealing for 2 min, and 72°C extension for 2 min. T he 18S rRNA gene sequences were obtained by direct sequencing from th e P C R product using the ABI 3100 prism BigDye Term inator Cycle Sequencing Ready Reaction K it (Applied Biosystems). Sequence coverage was forward and reverse. A 554 bp fragm ent of the rbcL gene, which includes the functional site of the enzyme, was amplified in a P C R with a degenerate prim er pair as described in W awrik et al. (2002). P C R m ixtures (50 pL) contained 1 pL of tem plate DNA, prim ers a t 0.5 pM each, dN T Ps a t 0.2 mM, 1.5 mM MgC12, 2.5 U of T aq DNA polymerase, and P C R buffer (Qiagen). P C R reaction cycles were as described in W awrik et al. (2002). Sequences were obtained w ith the ABI 3100 prism BigDj'e Term inator 28 Pseudocryptic species in N avicula phyllepta Cycle Sequencing Ready R eaction Kit. GenBank accession numbers of all N. phyllepta sequences are listed in Table 1. T he rbcL fragm ents are only 457 bp long, lacking the first ~45 bp a t either end as th e result of unresolved parts a t chromatograms. th e beginning and th e end of the sequence P h y lo g e n e tic a n a ly s e s Sequences of each m olecular m arker (ribosomal ITS, rbcL, 18S rRNA gene) were edited separately using BioNumerics version 3.5 (Applied M aths, Kortrijk, Belgium) and autom atically aligned using ClustalX (Thompson et al. 1997). T he resulting alignm ent was m anually corrected where necessary. Phylogenetic analyses were performed using PAUP* 4.0bl0 (Swofford 2001) and, for Bayesian inference (Bí), M rBayes version 3.1.2 (Ronquist and Huelsenbeck 2003). Uncorrected P distances (Nei and K um ar 2000) were calculated as measures of genetic distance between the sequences in each alignm ent. Phylogenetic relationships were assessed separately using m axim um parsim ony (MP) and Bayesian Inference (Bí) on the ITS1, the ITS2, the com plete ribosomal ITS, the 18S rRNA gene, and rbcL alignm ents. For th e ITS1 and ITS alignm ents, th e first 36 positions were om itted because this part was lacking for tw o of the sequences, due to unresolved p arts at the beginning of the sequence chromatogram s. No outgroup was specified. For MP analysis, the sites were treated unweighted. G aps were treated as missing data. M P trees were inferred using heuristic searches with random stepwise additions of taxa, repeated 100 times, and using the tree bisection-reconnection branch-swapping algorithm . B ootstrap values were assessed from 1,000 replicates. For th e Bí, we used M rM odeltest 2.3 (Nylander 2004) to calculate the best-fitting model for the given d ata m atrix using the AIC (Akaike inform ation criterion). Likelihoods for 24 models of evolution were calculated using PA U P*, and the command file was provided to M rM odeltest 2.3. The selected best-fitting models were K80 + I (for the ITS), K80 (for IT S l), H K Y + l(fo r ITS2), G T R + I + G (for 18S rRNA gene), and G T R + G (for rbcL). No initial values were assigned to the model param eters. Two runs of four Markov chains (one cold and three heated) were run for three million generations and sampled every 100 generations. This yielded a posterior probability distribution of 30,001 trees. After exclusion of 5,000 “ burn-in” trees, posterior probabilities were calculated by constructing a 50% m ajority-rule consensus tree. 29 Chapter 2 T a b le 1 . N. p h y lle p ta s t r a i n s u se d in t h i s s t u d y t o g e t h e r w i t h p l a c e a n d d a t e o f iso lation , G e n B a n k a c c e ss io n ( a c c ) n u m b e r s o f t h e c o r r e s p o n d i n g ri b o s o m a l ITS, 18 S rbcL s e q u e n c e s , m o r p h o m e t r i c m e a s u r e m e n t s ( m e a n ± rRNA g en e and SD) and a s sig n m e n t to th e different m o r p h o ty p e s, physiotypes a n d phylogenetic clades. S tra in s f ro m c l a d e B a r e i n d i c a t e d b y g r e y sh a d i n g . A cce ssio n n u m b e r s o f s e q u e n c e s n e w S tr a in I s o la tio n I s o la t io n d a t e A cc IT S A c c 18 S rD N A rR N A O r ig in num ber A c c rb c L CC'Y 0221 MOO A pr '02 Ap[H’l/ak U Q 19305'. F.T 624240 E U !)3 8 3 1 C C Y 0230 XIOO Sep, 02 A p| )i •1/ak 1)0193., 70 E U 938307 F J 6 2 1251 C C Y 0222 N lOO Apr '02 A p p -U k DQ193556 A P -0 2 -0 5 p .m .; 16/A p r/0 2 Ap)H'l/,ik D Q I93559 F J 640068 EU 93831 B A -0 4 - 01 PA F 2 Mar. 01 Bath D Q 103566 FJ624235 F J 624246 D Q 193557 D Q l93567 B A -0 4 -0 2 PAI 2 / M ur/0 i Bath D Q 193563 F J624232 FJ624243 D Q 193564 B A -0 4 -0 4 PM 2 /M a r 01 Balli F.16 2 4 2 2 6 FJ624233 FJ624244 B A -0 4 -0 5 PA E 2 /M a r /0 1 Bath D Q 193560 FJ624237 F J 624247 FJ624231 FJ624242 FJ621238 FJ624249 D Q 1935C 1 B A -0 4 -0 6 p a i; 2 /M ar, 0 1 Balli B A -0 4 -0 7 p a i­ â– 2. M ar/01 Baili F J 624228 B A -0 4 -0 8 p a i; ‘2 / Mai 01 Balli F J624230 FJ624236 FJ624248 B A - 0 1-09 p a i; ‘i /M a r /o -l Bath F J 6 2 1220 FJ624234 FJ624245 C O -0 4 -0 1 i \ .Ian/04 C ..lue (I K) FJ624225 FJ624239 FJ624250 C C Y 0218 MOO Apr/02 Bi.-zi'linssflie Hum DQ10355.S E U 938308 EU 93831 F J 6 2 1227 M e a n m o r p h o m e tr ic f e a tu r e s c ia d o A C C Y 0226 M l JO S ep /02 A p p i-U k D Q 193.550 C C Y 0201 MOO â– Ian/02 Biezelingsrlie Uam DQ 103546 E li 938309 EU 93831 C C Y 0212 MOO A pr/02 Paulina Schor IK. J103513 F J624241 EU 93831 EU 938310 EU 93831 EU 93832 DQ 193541 C C Y 0213 MOO Apr /Ö2 Paulina Si hut DQ 103547 I >Q 193518 C C Y 0227 MOO S ep /02 Paulina Si lior 1>Q2357S3 FJ624253 EU 93831 C C Y 9804 MOO A pr/98 Kins I foliar. 1 (N l.) DQ 19355! E U 938311 EU 93831 DQ 193552 M e a n m o r p h o m e tr ic f e a tu r e s c l a d e B 30 Pseudocryptic species in N avicu la phyllepta t o t h i s s t u d y a r e in bold. M o r p h o t y p e : "S ": N a r r o w valves w i t h high s t r i a d e n s i ty , “ R ": W i d e v a l v e s a n d low s t r i a d e n s i ty . G r o w t h 2 psu: ability t o g r o w a t 2 psu: " + ” = y es, n o a n d cells died, " ± ” = no g r o w t h b u t cells s u r v iv e d . P A E : R e s e a r c h G r o u p P r o t i s t o l o g y a n d A q u a t i c E co log y, G h e n t , B e lg i u m . N I O O - C E M E : Y e r s e k e , T h e N e t h e r l a n d s . E ssex: D e p t . Biol. Univ. Essex, UK. " n m " s t a n d s f o r ' n o t m e a s u r e d ' . Striae L en g th W id th (p m ) (p m ) n —20 (N o ,10 jim ' M o rp h o - G ro w th ') ty p e 2 p su IT S 1RS r&cL n=20 u=20 11 - ± 1 .0 5.0 i 0.3 21.7 ± 0.7 A A A um mu lllll S A A A mu mu um A 17.0 ± Ü. ! 5.1 0.3 20.7 ± ! .0 Ul.2 ! 0.1 5.0 • 0.2 22.2 i 1.0 s s ui.-. ± 0.1 5.1 - 0.2 22.3 ± 0.9 s 1-1.1» ± 0.3 LO ± 0.2 21.9 ± 0.7 10.7 5.3 20.S i 0.1 s s 0.3 0.2 13.0 ± U. ! 5.0 ± 0.2 21.7 -± 0,8 11.1 i 0.3 1.0 0.2 22,3 1 0.7 1.1,1 ± 0.3 5.2 ± 0.3 21.5 ± 0.7 13.3 i 0.3 1.0 • 0.2 21.0 1 0.7 1 1.0 ± ¡i.« 1.7 ± 0.2 2.1.3 h 0,7 um um um 1 1.2 r 2.2 5.1) 0.2 s s s s s + + A A A + A A A + A A A + A A A A A A + A A A -r A A A + A A A + A A A + A A A A A A 21.1, ¡0.0 mu mu 10.3 ± 1 .1 OR 0 1 â– 111! 18.3 i 0.9 H - B B B B 11.1 ± 0 . 1 7.0 0.3 IS,3 ± O.s R - B B B 10.8 ± 0.5 ().<S ± 0.1 ls.fi i 0.9 II - B B B um lllll nui B B B 11.2 ± 0.0 6.3 ± 0.5 13.0 ± 0.9 B B B 10.9 ± 0 .2 0 3 =0 1 J S .l ± 0.3 R B 31 Chapter 2 V a lv e m o rp h o lo g y For morphological observations of th e siliceous cell wall, all clonal cultures and three natural samples (Appelzak, Biezelingsche Ham, and P au lin a Schor) were oxidized using hydrogen peroxide (15% [v / v]) and acetic acid (50% [v / v]) and repeatedly washed w ith distilled water before being m ounted in N aphrax (PhycoTech, St. Joseph, MI, USA). LM was carried out using a Zeiss Axioplan 2 microscope (Zeiss Gruppe, Jena, Germ any) equipped w ith a digital cam era (Zeiss Axiocam MRm). M orphom etric m easurem ents on digital images were m ade using Image J software (Abram off et al. 2004). Length, w idth, and stria density of 20 frustules from each strain and 100 from each natural sample were m easured. Voucher specimens of cleaned m aterial of th e original natural sample and the clonal cultures are kept at the Laboratory of Protistology and A quatic Ecology, G hent University, Belgium (voucher specimens PAE00101-PAE00115). E c o p h y sio lo g y a n d n a tu r a l d is tr ib u tio n T o assess grow th perform ance a t different salinities, eight N. phyllepta strains (CCY0201 from Biezelingsche Ham; CCY0212 and CCY0213 from Paulina Schor; and BA-04-01, BA-04-02, BA-04-04, and BA-04-05 from Bath; and CCY0221 from Appelzak) were grown in triplicate a t eight different salinities (0, 0.5, 1, 2, 5, 10, 20, and 30 psu). Suspended cells from stock cultures grown at 30 psu until late exponential phase were transferred into wells of flat-bottom 96-well m icrotiter plates (Greiner Bio-One, Frickenhausen, Germ any). W ells were inoculated a t a cell density of -3,000 cells . mL \ resulting in an initial density of -2 9 cells . mm 2. One hour after th e inoculation, when m ost of the cells had settled a t the bottom , the culture medium was gently pipetted off and im m ediately replaced by fresh medium a t the desired salinity. Growth was not acclim ated to th e different salinities prior th e experim ents. A representative growth curve is shown in Figure 2. 32 Pseudocryptic species in N avicula phyllepta, - 3500 3,000 '*g 2 500 I /T r- I r/TJ r U 1 Y 2,000 % 1,500 u 1 000 t/ - I 500 '. * * * 2 * . . A 6 . . 8 10 12 Timt* (d) F ig u r e 2 . G r o w t h c u r v e o f N avicula p h yllep ta s t r a i n C C Y 0 2 2 1 a t 10 psu. E r r o r bars r e p r e s e n t s t a n d a r d d eviatio n s. T here were some clear signs of osmotic stress and cell lysis a t 0, 0.5, and 1 psu, especially in the case of strains belonging to clade B. C ulture m edia were prepared by adding F / 2 nutrients (Guillard 1975) and salts (U ltram arine Sea Salt; W aterlife Research LTD, Middlesex, UK) to distilled w ater up to the required salinity. T he culture m edia were filtered through glass fiber filters (0.7 pm pore size, W hatm an, M aidstone, England, G FF) and autoclaved. G row th conditions were identical to those described above for m aintaining the stock cultures. Cell densities of each replicate were m onitored daily using an inverted microscope (Reichert P V 624; Reichert-Jung, Vienna, A ustria) by counting a minimum of 400 cells per replicate. G row th rate during th e exponential phase (4-5 d) was calculated as th e slope of the linear regression of log2-transformed cell densities versus tim e for individual cultures (Underwood and Provot 2000). Because th e results of these experim ents indicated th a t the strains differed mainly in their ability to grow a t low salinities (0.5-5 psu), six additional strains (AP-02-05 from Appelzak; BA-04-06, BA-04-07, BA-0408, and BA-04-09 from B ath; and CO-04-01 from the Colne estuary [UK]) were grown only a t 2 and 5 psu, and qualitative observations were made on their survival and growth. C ultures were followed during 2 weeks, a period during which healthy cultures reached stationary phase. T he relationship between the environm ental variables and the distribution of cells belonging to clades A and B in the Westerschelde estu ary was explored using stepwise forward m ultiple regression as im plem ented in Statistica version 6.0 for Windows (StatSoft Inc., Tulsa, OK, USA). T his analysis was performed displaying results a t each step, w ith an F to enter set a t 1.00 and an F to remove set a t 0; tolerance was 33 Chapter 2 set at 0.0001, and the intercept v/as included in the model. Only significant variables were included in th e model. T he P earson’s residuals are given in supplementär}’ figure 1. Standarized residuals were tested for norm ality using the Shapiro W ilk’s W test. All locations (Appelzak, Biezelingsche Ham, and Paulina Schor) were sam pled nine times, spanning two consecutive years. At each location, highshore and midshore stations were selected on th e exposed m udflats. Samples were taken in April 2002, May 2002, Septem ber 2002, F ebruary 2003, M arch 2003, April 2003, M ay 2003, July 2003, and Septem ber 2003. Samples were taken during low tide. T he strains w ith designation starting with “ CCY ” were taken during this sam pling campaign. The distribution d ata used for the stepwise forward m ultiple regression were obtained from Créach et al. (2006) who conducted a qPC R to determ ine the abundance of clades A and B in th e samples taken during th e above-m entioned campaign. T he environm ental param eters m easured during this sampling cam paign were obtained from Sahan et al. (2007) and included am m onium , nitrite, nitrate, phosphate, salinity, organic carbon content, organic nitrogen content, C:N ratio, tem perature, irradiance, water content, mean grain size, silt content, and height of the sediment. Surface sedim ent samples (upper 2mm) were collected using a contact corer. T otal organic carbon (TO C) was m easured using an elem ental analyzer (Elem entar Analysensysteme, H anau, Germ any). Organic nitrogen content, nitrite, nitrate, am m onium, and phosphate were measured using stan d ard colorimetric techniques (Grasshoff 1976) on a SKALAR SA 4000 segm ented flow analyzer (Skalar Analytical B.V., Breda, the Netherlands). Salinity was m easured using a titratio n m ethod with SAC 80 (Radiom eter, Copenhagen, Denmark). Sediment grain size and silt content of the sediment were determ ined by granulom etric analysis using a laser diffraction analyzer (M alvern M astersizer 2000; Malvern Instrum ents Limited, M alvern, UK). T he percentage of w ater was determ ined by the loss of weight of the sample after 48 h of freeze-drying. T h e shore heights of the stations were determ ined by reference to a digital elevation model of the estuary and confirmed by direct observation of the timing of emersion and immersion periods. Sediment surface tem peratures were measured w ith an electronic therm om eter a t each sam pling occasion. T he mean irradiance at all sites was recorded at hourly intervals during 2002 and 2003 using a Li-Cor Li-192 sensor (LiCor, Lincoln, NE, USA). 34 Pseudocryptic species in N avicula phyllepta R e s u lt s Molecular phylogenies. Phylogenetic analyses performed on the ITS sequences of th e strains identified morphologically as N. phyllepta revealed two distinct clades (Fig. 3A) possessing intracla.de P distances not higher th an 0.0148 (12 nucleotide differences) and interclade distances between 0.0762 and 0.0898 (78 to 92 nucleotide differences). B oth clades were supported by high to maximal MP bootstrap and B í posterior probability values. These two clades are referred to as clades A and B (see Fig. 3A). T he strains collected from the Colne estuary (CO-04-01) and Ems-Dollard (CCY9804) belonged to clades A and B, respectively. Intraclonal ITS variation was very low (P distances not higher th a n 0.010 and 12 nucleotide differences) (Fig. 3). Phylogenetic analyses performed on th e ITS1 and ITS2 regions generated nearly identical trees supported by high to m axim al MP bootstrap and B í posterior probability values (not shown). T he ITS1 was more variable th an IT S 2, w ith interclade uncorrected P distances between 0.119 and 0.141, and 43 to 59 nucleotide differences, com pared to interclade distances between 0.064 and 0.084, and 25 to 33 nucleotide differences for the ITS2. T he partial rbcL (which includes the functional site of the enzyme, W aw rik et al. 2002) and 18S rRNA gene phylogenies also supported the distinction of clades A and B (Fig. 3, B and C, results summarized in Table 1). T he num ber of nucleotide differences am ong the partial rbcL sequences w ithin the clades was 0 or 1 (P distances 0.0000.002), while sequences from different clades (A and B) differed a t 8 to 9 positions (P distances 0.018-0.021). Eight of th e nine differences were in the third codon position and did not result in am ino-acid differences. One nucleotide difference was in the first codon position and resulted in a change of amino acid. In the 18S rRNA gene (the first 129 and last 93 nucleotides are missing), the two clades had two nucleotide differences (P distance 0.001), while sequences w ithin each clade were identical (except strain BA-04-07, which differed a t one position from the other strains of clade A). T he 18S rR N A gene sequence of a Navicula sp. strain (AT145.08) collected in a brackish lagoon of the Baltic Sea by B ruder and Medlin (2008) belonged to clade A, indicating a wider distribution of this clade. B oth rbcL and 18S rRNA gene phylogenies suggest th a t Seminavis cf. robusta and Pseudogomphonema are close relatives of N. phyllepta, closer th an other Navicula species, such as N. cryptotenella and N. reinhardtii. 35 Chapter 2 cO'O CMCoP § 5 * 1 usjfcsi "S > ® o5 < l i l i 23 § £ O < < - 3 « 0 a5 Q.S Ul t ü 1/3 ~ =t 5 S >- q < CD 0) •O CD T3 iS ro o O ^ S o - o r - M j I O n o o o o o o o o N v j ! l |¡ § ? ? l § Í 9 S 3 l s é 3 3 l s g | Í 5 a§8 8 8 8 B 8 5 8 á á S i á S á á á á 8 8 ö| h— ¿-a tfï H >3 vr !3X 15'i LU â– CM CO CM CM CM O 03 O O O § s s |s s s s s s § g s s > > > -> -> - ' ~ â– < < < < < < < Ü O ¿ OO O O O ccmcacooj c o c a o oc o o o o o CÛ o g 2 o95™ 3 8 ° . ^ oSS CÜ 9 9 ? < o iü < o < â– CQOO¡2! < cü C PO CD S P > -> P 0 >^ ü0b 0> O s. CM O par.< O M r-p 2- C<M cM 'rin <M O - C'4£ÍM- ’’M CM C M S i . 3 fTitSs inin O ^ “3 OCT o c' «V«; O M- <mPí99< 8 °$ 3 < m 3<9<Sœ< 9 m <f F ig u r e 3 . P h y l o g e n y o b t a i n e d f r o m B a y e s i a n i n f e re n c e ( B l ) o f (A ) r i b o s o m a l IT S , (B ) rbcL , a n d ( C ) 1 8 S r R N A g e n e . T h e t r e e s s h o w n a r e t h e 5 0 % m a j o r i t y - r u l e c o n s e n s u s t r e e b a s e d on Bl an a ly s is. B o o t s t r a p v a l u e s > 5 0 % ( M P ) o r p o s t e r i o r p r o b a b i l it i e s > 0 . 5 ( B l ) a r e i n d i c a t e d o n t h e r e s p e c ti v e n o d e s . In t ra c l o n a l s e q u e n c e v a r i a n t s a r e indicated by a d i f f e r e n t l e t t e r b e h i n d t h e s t r a i n name. Scale b ars re p re se n t one s u b s t i t u t i o n in 10 0 n u c l e o t i d e s ( A ) o r o n e s u b s t i t u t i o n in 10 n u c l e o t i d e s ( B a n d C). IT S , in t e r n a l t r a n s c r i b e d s p a c e r ; M P , m a x i m u m p a r s i m o n y . 36 Pseudocryptic species in N avicula phyllepta V a lv e m o rp h o lo g y LM photographs of N. phyllepta valves are shown in Figure 4. While there were no obvious differences between th e species in general valve features (valve outline, striation pattern, etc.), they differed in their m orphom etry (Table 1 and Fig. 5). Based on a com bination of valve width and stria density, there was a clear distinction between strains of th e clades A and B. Strains belonging to clade A were narrow (4.2-5.5 pm wide) and had a high stria density (19.5-24 striae in 10 pm ) (Fig. 5A). S trains belonging to clade B had wider valves (5.5-7.5 pm) and a lower stria density (16-20 striae in 10 pm) (Fig. 5A). W hen strains with th e sam e length belonging to the different clades (e.g., CCY0221 and BA04-07 of clade A and CCY0212 and CCY9804 of clade B) were compared, it was clear th a t the differences in w idth and stria density were m aintained when cells belonging to different clades had the same length. F ig u r e 4 . LM p h o t o g r a p h s o f Navicula phyllepta. ( A ) S t r a i n B A - 0 4 - 0 1 ( c l a d e A ). ( B ) S t r a i n C C Y 0 2 1 2 ( c l a d e B ). S c a l e bar, 10 p m . 37 Chapter 2 M orphom etric analysis of N. phyllepta valves from the sam ples from the W esterschelde (locations Appelzak, Biezelingsche Ham, and Paulina Schor) showed the presence of the sam e tw o groups based on differences in stria density and valve width (Fig. 5, B and C). T he natural samples v/ere composed of a group w ith narrow frustules (4.3-5.5 pm) having higher stria densities (20-23 striae in 10 pm) and a group w ith broader frustules (5.4-8 pm) and lower stria densities (16-20 in 10 pm). Both groups also differed in valve length, w ith the maximal length for the broader group being 31-32 pm in the field, while th a t of the narrower group was 21-22 pm. The minim al valve length in the field was 15-16 pm and 11-12 pm, respectively (Fig. 5C). W ith decreasing length of the cells, th e w idth also decreased, b u t the length-associated differences were smaller th an th e differences between the different groups (Fig. 5C). U nfortunately, we failed to initiate auxosporulation in culture, and therefore we were unable to determ ine the m axim um cell length for the two clades. T he minimum size of all strains in culture was more or less th e same, -9 -1 0 pm. W hen the cell reached this “critical” size, the cultures ceased to grow and subsequently died. 38 Pseudocryptic species in N avicula phyllepta 23 E 22 O 21 n O <5 strains c lade A strains cla d e B 19 ¿0 18 17 5 6 7 W id th ( |jm ) » A p p e lz a k B ie z e lin g s c h e H a m o P a u lin a S c h o r 23 E 22 n. O 21 ^ 20 0) ro C0 8 19 18 17 5 7.5 ^ 6 7 W id th (p m ) 8 C 7 §j_ 6 .5 nt o» £ § ^ 6 O 55 ítíHÍR* VS—. « 5 4 .5 ' «* â– > & 15 20 . • Appelzak Biezelingsche Ham ° Paulina Sch or 25 30 L e n g th ( p m ) F ig u r e 5 . S c a t t e r p lo t s o f (A ) v a l v e w i d t h v e r s u s s t r i a d e n s i ty o f N avicula phyllepta strains, (B) v alv e w i d t h v e r s u s s t r i a W e s te rs c h e ld e estuary, and den sity of th r e e natural ( C ) v alv e l e n g t h v e r s u s v alv e w i d t h s a m p l e s fro m o f three the natural s a m p l e s f ro m t h e W e s t e r s c h e l d e e s t u a r y . 39 Chapter 2 E c o p h y sio lo g y a n d d is tr ib u tio n p a t t e r n Irrespective of clade affinity, all strains tested grew well in a broad range of salinities but were unable to tolerate freshwater conditions (Fig. 6). However, strains from th e two clades differed considerably in their tolerance to low salinities (0.5-2 psu). Strains belonging to clade A were able to grow a t salinities as low as 0.5 psu, while monoclonal cultures belonging to clade B showed growth only a t 5 psu or higher and died at salinities below 5 psu. There was one exception: cells of strain BA-04-05 (belonging to clade A) grown a t 0.5-2 psu did not divide but were still m otile and contained healthy-looking chloroplasts even after 10 d. Q ualitative testing of six additional strains for growth a t two salinities (2 and 5 psu) showed th a t all six clonal cultures belonging to clade A were able to grow a t 2 psu (Table 1). T he strain originating from th e Colne estuary (UK) showed the sam e response to salinity as the other strains belonging to clade A. o? .Í2 0 .5 CCY 0201 C C Y 0212 C C Y 0213 -♦ — â– 8 A -04-Q 1 â– â– — B A -0 4 -0 2 -B— B A -0 4 -0 4 -A r— B A -0 4 -0 5 CCY 0221 0.0 0 0 .5 1 2 5 10 20 30 Salinity (p s u ) F ig u r e 6 . G r o w t h r a t e o f e i g h t N avicula p h y lle p ta s t r a i n s g r o w n in t r ip l i c a t e a t e i g h t d i f f e r e n t sa lin ities. S t r a i n s s h o w n in b lack b e l o n g t o c l a d e A; s t r a i n s in gray , t o cla d e 40 Pseudocryptic species in N avicula phyllepta The abundances of cells belonging to clade A in the W esterschelde estuary were negatively correlated w ith salinity (r = -0.33, P = 0.015), while no significant correlation between salinity and the occurrence of cells belonging to clade B was found (r = -0.0129, P = 0.926). In a multiple regression model explaining the abundances of cells belonging to clades A and B in the W esterschelde estuary, organic nitrogen content, irradiance, and salinity were selected for clade A (Table 2, Fig. 7). Together, these variables explained a highly significant [F(3,5) = 14.03, P value < 0.0001] 42.4% (R2 adj.) of the variation in the abundance of cells belonging to clade A. Am m onium concentration, silt content, irradiance, * ♦4 * 0 .2 0 .4 E CO O •s¡i AM 0 e <D O A 10f -------1------- 1------- 1_ — 10 o j. o cv 10 E -2 tem perature, and n itrite were selected for clade B (Table 2, Fig. 7). Together, these variables explained a highly significant [F(5,48) = 17.693, P value < 0.0001] 61.2% (R2 adj.) of th e variation in the abundance of cells belonging to clade B. 0 o • • ' * * * B io 6 ------ «------- 1------- 1 — 0 .6 10 20 30 S alinity (psu) O r g N (% ) 10 ™ CD O100 20 40 60 80 0 Silt co n te n t (%) 200 400 A m m onium (pM ) F ig u r e 7 . S c a t t e r p l o t s o f t h e l o g - t r a n s f o r m e d a b u n d a n c e s o f Navicula p h yllep ta cla d e A o r B a g a i n s t s o m e o f t h e e n v i r o n m e n t a l f a c t o r s s e l e c t e d in a s t e p w i s e f o rw a r d m u l t i p le r e g re ssio n m o d e l. ( A ) O r g a n i c n i t r o g e n ( O r g N ) c o n t e n t v e r s u s a b u n d a n c e s of cells belonging t o clade A. (B) Pore w ater sa linity v e r s u s abundances o f cells b e l o n g i n g t o c l a d e A. ( C ) S i l t c o n t e n t v e r s u s a b u n d a n c e s o f cells b e l o n g i n g t o cla d e B. ( D ) A m m o n i u m c o n c e n t r a t i o n v e r s u s a b u n d a n c e s o f ce lls b e l o n g i n g t o c l a d e B. S i g n i f i c a n t c o r r e l a t i o n s ( P < 0 . 0 5 ) a r e i n d i c a t e d by a r e g re ssio n line. 41 Chapter 2 T a b le 2 . R e s u l t s o f s t e p w i s e m u l t i p l e r e g re ssio n for t h e a b u n d a n c e s o f cells b e l o n g i n g t o c l a d e s A a n d B in t h e W e s t e r s c h e l d e e s t u a r y . E s t i m a t e d r e g re ssio n c o e f f ic ie n ts (ß) a n d t h e i r s t a n d a r d e r r o r s ( S . E . ) a n d a s s o c i a t e d sig n i f i c a n c e level ( P ) for e a c h v ariable. O n ly s i g n i f i c a n t v a r i a b l e s a r e s h o w n for t h e d if f e r e n t c lad es . C la d e A S .E . C la d e B P - v a lu e V a r ia b le ß O rg an ic n itro g e n 0.444 0.112 0.0002 0.318 0.110 0.0057 -0.273 0.112 0.0187 Irrad ian ce ß S .E . P - v a lu e 0.546 0.125 0.0001 A m m o n iu m 0.657 0.097 0.0000 Silt c o n te n t -0.255 0.095 0.0100 T e m p e ra tu re -0.398 0.129 0.0035 N itrite -0.199 -0.092 0.0350 S alin ity D is c u s s io n a n d c o n c lu s io n s On the basis of three molecular m arkers (viz. ribosomal ITS, 18S rRNA gene, and rbcL) w ith different rates of sequence evolution, it was shown th a t N. phyllepta s. 1. consists of at least two clearly distinct clades with low intraclade sequence divergence compared to the interclade divergence. These results confirm and strengthen the conclusions drawn by Créach et al. (2006) who showed the existence of two ITS1 sequence clusters. Créach et al. (2006) also found th a t the clades A and B differed in the num ber of copies of the ribosomal operon as well as a 4-fold difference in the cellular DNA content. T he congruence of the different molecular markers, the low intraclade variation, the low intraclonal variation, and the differences in DNA content suggest the presence of intrinsic barriers to gene flow between these sym patric species, as has been shown in some other microalgae (e.g., Coleman 2000, Behnke et al. 2004). R epeated attem p ts to set interclonal m ating tests within and between the clades were unsuccessful. W e were unable to initiate sexual reproduction despite using m ethods th a t have been proved successful for m am r other diatom species (see, e.g., Chepurnov et al. 2004). The average cell size in the N. phyllepta cultures gradually decreased, and cultures were eventually lost when they reached the critical m inim um size. W e therefore conclude th at a mechanism m ust exist th a t restores the cell size, and it seems 42 Pseudocryptic species in N avicula phyllepta reasonable to assume th a t this is associated w ith sexual reproduction and auxospore formation, as is the case in m ost diatoms. T h e differentiation in molecular m arkers was associated with subtle b u t discrete differences in valve morphology between strains of clades A and B, which should therefore be referred to as pseudocryptic. There was a subtle b u t clear morphological distinction based on a com bination of valve w idth and stria density. B oth w idth and stria density were dependent on length and change during the life cycle, as is the case in other diatom s (Mann 1999, M ann et al. 1999). However, these length-associated differences are smaller th an the differences between the different clades; hence, there is no overlap in morphology. The pseudocryptic species are probably sibling as they are more closely related to each oth er th a n to other Navicula species, although taxon coverage in this genus is fragm entary. Several m olecular studies have now d em onstrated th a t protist species traditionally defined on th e basis of morphology often consist of two or more genetically distinct groups th at often occur in sym patry (e.g., Slapeta et al. 2006, Vanormelingen et al. 2008). M oreover, evidence of reproductive isolation of such sym patric cryptic species was found for several protists (Coleman 2000, A m ato et al. 2007, Vanorm elingen et al. 2008). In m ost cases, it is unknown whether these seemingl}r similar species differ in their biology or whether they are functionally equivalent. As a consequence, we know little about the mechanisms th a t prom ote the coexistence of cryptic protist species. The lim ited available data suggest or show differentiation between cryptic species for susceptibility to different parasitic fungi (M ann 1999) and light requirem ents (Rodriguez et al. 2005), which m ight help to explain their sym patric occurrence. There is evidence th a t different tolerances to salinity m ay contribute to niche differentiation between allopatric cryptic species (Koch and Ekelund 2005, Lowe et al. 2005). F o r N. phyllepta, the sibling species were differentiated in terms of grow th a t different salinities, and this corresponded w ith their distribution in the Schelde estuary. As previously shown for other estuarine diatom s (Admiraal 1977, B rand 1984, Clavero et al. 2000), all strains grew well over a wide range of salinities, including th e average salinities a t the different sampling stations (8.8-22.7 psu), seemingly suggesting th a t th e distribution is not the result of physiological constraints. However, strains of clade B were not able to grow a t low (0.5-5 psu) salinities, in contrast to the strains belonging to clade A. Such small differences in physiological tolerances may influence species 43 Chapter 2 interactions and consequently their distribution in th e field (De Jong and Adm iraal 1984). In particular, the different tolerances to low salinities could be im portant during heavy rainfall when the salinities of the sedim ent top la}’er often drop to alm ost freshwater conditions (Admiraal 1977, Coull 1999). This tolerance difference would give clade A organisms a com petitive advantage in the oligohaline and mesohaline p arts of the estuary. T hus, despite the wide salinity range in which the species were able to grow, their tolerance to low salinities may nevertheless determ ine their abundance. In line with this, the abundance of clade A organisms in th e W esterschelde estuary was indeed positively associated with low salinities, while clade B organisms reached their highest abundances at higher salinities (>15 psu). However, this difference was not significant because of the large interannual variation (clade B only bloomed in spring of the first sampling year). From Figure 6, it is clear th a t strains of clade A have higher growth rates in culture th a n those of clade B a t any given salinity and th a t their optimal salinity is ~20 psu. T his finding suggests th a t clade A should be able to outcom pete clade B. However, making predictions ab out growth rates and com petitive ability in th e field based on absolute growth rates obtained in the laboratory is difficult. For example, N. salinarum displa 3 's optim al growth rates a t 30 psu (Underwood and Provot 2000) but occurs only in brackish environments where it outcom petes other species because of its tolerance to low salinities and high am m onium and sulfide concentrations (Peletier 1996, Underwood and Provot 2000). This phenom enon suggests th a t tolerance, rath er th a n th e growth rate, determ ines the ecological success of an organism and would explain species distribution. Salinity is an im portant factor influencing the distribution of the two clades w ithin N. phyllepta (and of other diatom s, Sabbe and V yverm an 1991, Underwood et al. 1998). However, other environm ental variables m ay be equally im portant, as is suggested by the multiple regression model. T he model shows th a t, independent of each other, organic nitrogen content, irradiance, and low salinity positively influenced th e abundance of clade A. T he organic nitrogen content had the strongest contribution to the model and is significantly correlated w ith silt content (r = 0.6521, P = 0.000), ammonium concentrations (r = 0.5225, P = 0.000), phosphate concentrations (r = 0.6479, P = 0.000), w ater content (r = 0.8114, P = 0.000), and organic carbon content (r = 0.9095, P = 0.000) (All correlations are given in supplem entary table 1). T hus, clade A typically blooms in spring and summ er in the mesohaline parts of the 44 Pseudocryptic species in N avicula phyllepta estuary on silty sediments (70%-90% silt) w ith high organic m atter and w ater content and high nutrient concentrations. Clade B was positively influenced by high ammonium concentrations and lower silt content. This clade reached its highest abundances a t sedim ents w ith lower silt content (30%-70%) and with high am m onium concentrations (200-450 phi). N itrite, which was generali}' higher in silty sediments, also negatively influenced its occurrence. Furtherm ore, clade B was positively influenced by irradiance, but negatively by tem perature, suggesting th a t this species peaks in spring, which could be due to tem perature tolerances but m ight also be due to high grazing pressures in late spring and sum m er (Sahan et al. 2007). Salinity, sedim ent type, organic m atter content, ammonium concentrations, and w eather conditions thus differently influence the spatial and tem poral distribution of both clades of N. phyllepta. Several studies show th a t these variables strongly affect the species composition of microalgal biofilms on intertidal mudflats (Peletier 1996, Underwood et al. 1998, T hornton et al. 2002). Ammonium can have positive effects on th e growth and distribution of benthic algae as it is an easily assim ilated source of nitrogen (Underwood and Provot 2000). However, high am m onium concentrations may have detrim ental effects on benthic algae, especially on N. phyllepta (Peletier 1996, Underwood and Provot 2000). T he very high am m onium concentrations (400-1,000 pM) necessary to cause detrim ental effects were (almost) not encountered in the W esterschelde estuary, and a negative effect was therefore not expected. Our conclusion th a t N. phyllepta consists of different pseudocryptic species possessing different preferences for salinity and other environm ental factors m ay explain th e puzzling p attern of field observations of N. phyllepta. T his “ morphospecies” was reported in different estuaries (Underwood and B arnett 2006) at salinities ranging from 6 to 35 psu (Cox 1995, Snoeijs and P otapova 1995, Peletier 1996, T h ornton et al. 2002). These observations can probably be attrib u ted to the occurrence of different pseudocryptic species w ith distinct environm ental preferences, rather th a n a single generalist species th a t exhibits a broad adaptability to different salinity conditions. This phenom enon is found for several coastal and estuarine macroscopic eukar 3 'ote morphospecies displaying substantial morphological and physiological variation. Detailed stu d y revealed th a t these morphospecies consist of several (pseudo) cryptic species w ith different habitat requirem ents (Knowlton 1993). This finding has been shown, for instance, 45 Chapter 2 in nem atodes (Derycke et al. 200-5), in copepods, and for m any other invertebrates (Bilton et al. 2002). Finlay (2002) argues th a t because m icrobial eukaryotes are able to tolerate or ad a p t to a wide range of ecologically im portant factors, there will be few physiological “species” w ithin microbial morphospecies. O ur findings oppose th e view th a t m icrobial species are ecological generalists. We show th a t there may be a strong discrepancy between th e measured theoretical niche (which can be very broad) and the realized niche in the field. W e further dem onstrated th a t th e morphospecies N. phyllepta consists of a t least two distinct clades, and th a t despite their genetically and evolutionary relatedness, these clades display im portant physiological differences and are influenced differently by environm ental gradients, resulting in distinct distributions along the W esterschelde estuary. A c k n o w le d g e m e n ts T his research was supported by grants from the F und for Scientific Research-Flanders (Belgium) in the framework of th e Flem ish-Dutch collaboration on m arine research (VLANEZO) grants ALW 832.11.003 and G .0630.05, and by the BOF project GOA 01GZ0705 (Ghent University). This is Publication 4623 Netherlands In stitu te of Ecology (NIOO-KNAW ). W e thank three anonym ous reviewers for valuable comments. C it e d R e fe r e n c e s Abramoff, M. D., Magelhaes, P. J. & Ram , S. J. 2004. Image processing w ith Image J. Biophotonics Int. 11:36-42. Adm iraal, W. 1977. Influence of light and tem perature on growth rate of estuarine benthic diatom in culture. Marine Biology 39:1-9. Am ato, A., Kooistra, W ., Ghiron, J. H. L., M ann, D. G., Proschold, T. & M ontresor, M. 2007. R eproductive isolation am ong sym patric cryptic species in m arine diatom s. Protist 158:193-207. Behnke, A., Friedl, T., Chepurnov, V. A. & M ann, D. G. 2004. Reproductive com patibility and rDNA sequence analyses in the Sellaphora pupula species complex (Bacillariophyta). Journal of Phycology 40:193-208. 46 Pseudocryptic species in N avicula phyllepta Beszteri, B., Acs, E. & Medlin, L. K. 2005. Ribosoinal DNA sequence variation among sym patric strains of the Cyclotella meneghiniana complex (Bacillariophyceae) reveals cryptic diversity. Protist 156:317-33. Bilton, D. T ., Paula, J. & Bishop, J. D. D. 2002. Dispersal, genetic differentiation and spéciation in estuarine organisms. Estuarine Coastal and Shelf Science 55:937-52. Brand, L. E. 1984. T he salinity tolerance of 46 m arine phytoplankton isolates. Estuarine Coastal and Shelf Science 18:543-56. Bruder, K. & Medlin, L. K. 2008. Morphological and molecular investigations of Naviculoid diatom s. Navicula s.s. D iatom Research 23:331-47. III. Hippodonta and Casteleyn, G., Chepurnov, V. A., Leliaert, F ., M ann, D. G., Bates, S. S., Lundholm, N., Rhodes, L., Sabbe, K. & V yverman, W. 2008. Pseudo-nitzschia pungens (Bacillariophyceae): A cosmopolitan diatom species? Harmful Algae 7:241-57. Chepurnov, V. A., M ann, D. G., Sabbe, K. & Vyverm an, W . 2004. Experim ental studies an sexual reproduction in diatoms. International Review o f Cytology - a Survey o f Cell Biology, Vol. 237. pp. 91-154. Chepurnov, V. A., M ann, D. G., Vyverman, W ., Sabbe, K. & Danielidis, D. B. 2002. Sexual reproduction, m ating system , and protoplast dynam ics of Sem inavis (Bacillariophyceae). Journal o f Phycology 38:1004-19. Clavero, E., Hernandez-M arine, M., Grim ait, J. O. & Garcia-Pichel, F. 2000. Salinity tolerance of diatom s from thalassic hypersaline environments. Journal o f Phycology 36:1021-34. Coleman, A. W. 2000. T he significance of a coincidence between evolutionary landm arks found in m ating affinit}' and a DNA sequence. Protist 151:1-9. Coull, B. C. 1999. Role of m eiofauna in estuarine soft-bottom habitats. A ustralian Journal o f Ecology 24:327-43. Cox, E. J. 1995. Morphological variation in widely distributed diatom taxa: taxonomic and ecological implications. In: M arino, D. & M ontresor, M. [Eds.] Proceedings o f the Thirteenth International D iatom Symposium, pp. 335-45. Creach, V., E rnst, A., Sabbe, K., Vanelslander, B., Vyverm an, W. & Stal, L. J. 2006. Using quantitative P C R to determ ine the 47 Chapter 2 distribution of a sem icryptic benthic diatom , Navicula phyllepta (Bacillariophyceae). Journal o f Phycology 42:1142-54. Dejong, L. & Adm iraal, W . 1984. Com petition between 3 estuarine benthic diatom species in mixed cultures. M arine Ecology- Progress Series 18:269-75. Dcrycke, S., Remerie, T ., V ierstraete, A., Backeljau, T ., Vanfleteren, J., Vincx, M. & Moens, T. 2005. M itochondrial DNA variation and cryptic spéciation w ithin the free-living m arine nem atode Pellioditis marina. M arine Ecology-Progress Series 300:91-103. Evans, K. M., W ortley, A. H., Simpson, G. E., Chepurnov, V. A. & M ann, D. G. 2008. A molecular system atic approach to explore diversity w ithin th e Sellaphora pupula species complex (bacillariophyta). Journal of Phycology 44:215-31. Finlay, B. J. 2002. Global dispersal of free-living microbial eukaryote species. Science 296:1061-63. Friedm an, R. A., Wood, E., Pransky, S. M., Seid, A. B. & Kearns, D. B. 1996. Nager acrofacial dysostosis: M anagem ent of a difficult airway. International Journal o f Pediatric Otorhinolaryngology 35:69-72. Gallagher, J. C. 1982. Physiological variation and electrophoretic banding pattern s of genetically different seasonal populations of Skeletonema costatum (Bacillariophyta). Journal of Phycology 18:148-62. Grasshoff, K. 1976. Methods o f Seawater Analysis. Verlag Chemie, Berlin, 317 Guillard, R. R. L. 1975. C ulture of phytoplankton for feeding marine invertebrates. In: Sm ith, W . L. & Chanley, M. H. [Eds.] Culture o f M arine Invertebrate Animals. Plenum , New York, pp. 29-60. Haubois, A. G., Sylvestre, F ., Guarini, J. M., Richard, P. & Blanchard, G. F. 2005. Spatio-tem poral structure of the epipelic diatom assemblage from an intertidal m udflat in M arennes-Oleron Bay, France. Estuarine Coastal and Shelf Science 64:385-94. Hubbell, S. P. 2001. The Unified Neutral Theory of Biodiversity and Biogeography. Princeton University Press, Princeton, New Jersey, 375 Knowlton, N. 1993. Sibling species in the sea. Annual Review o f Ecology and System atics 24:189-216. Koch, T. A. & Ekelund, F. 2005. Strains of the heterotrophic flagellate Bodo designis from different environm ents vary considerably with 48 Pseudocryptic species in N avicula phyllepta respect to salinity preference and SSU rRNA gene composition. P rotist 156:97-112. Kooistra, W ., Sarno, D., Balzano, S., Gu, H. F., Andersen, R. A. & Zingone, A. 2008. Global diversity and biogeography of Skeletonema species (Bacillariophyta). Protist 159:177-93. K ram m er, K. 8¿ Lange-Bertalot, H. 1986. Bacillariophyceae. I. Naviculaceae. In: E ttl, H., Gerloff, J., Heynig, H. & M ollenhauer, D. [Ed.] Subwasserflora von Mitteleuropa, Vol. 2 / 1 . Gustav Fischer Verlag, S tu ttg art, Germany, pp. 104-5. Lowe, C. D., Kemp, S. J. & Montagnes, D. J. S. 2005. An interdisciplinary approach to assess the functional diversity of free-living microscopic eukaryotes. Aquatic Microbial Ecology 41:67-77. M ann, D. G. 1999. T he species concept in diatom s. Phycologia 38:437-95. M ann, D. G., Chepurnov, V. A. & Droop, S. J. M. 1999. Sexuality, incom patibility, size variation, and preferential polyandry in n atu ral populations and clones of Sellaphora pupula (Bacillariophyceae). Journal of Phycology 35:152-70. M ann, D. G. & Evans, K. M. 2007. Molecular genetics and the neglected a rt of diatomics. In: Brodie, J. & Lewis, J. M. [Eds.] Unravelling the Algae: The Past, Present and Future o f Algal Molecular System atics. CRC Press, London, pp. 231-65. M ann, D. G., McDonald, S. M., Bayer, M. M., Droop, S. J. M., Chepurnov, V. A., Loke, R. E., Ciobanu, A. & Du Buf, J. hi. H. 2004. T he Sellaphora pupula species complex (Bacillariophyceae) : m orphom etric analysis, ultrastructure and m ating d ata provide evidence for five new species. Phycologia 43:459-82. Meire, P ., Y sebaert, T., Van Damme, S., Van den Bergh, E., Maris, T. & Struyf, E. 2005. T he Scheldt estuary: A description of a changing ecosystem. Hydrobiologia 540:1-11. Nei, M. & K um ar, S. 2000. Molecular Evolution and Phylogenetics. Oxford University Press, Oxford, UK, Nylander, J. A. A. 2004. M rM odeltest v2. Program distributed by the author. Evolutionär}' Biology Centre, U ppsala University, Uppsala, Sweden. Ogilvie, B., Nedwell, D. B., Harrison, R. M., Robinson, A. & Sage, A. 1997. High nitrate, m uddy estuaries as nitrogen sinks: The nitrogen budget of the River Colne estuary (U nited Kingdom). M arine Ecology-Progress Series 150:217-28. 49 Chapter 2 Peletier, H. 1996. Long-term changes in intertidal estuarine diatom assemblages related to reduced input of organic waste. Marine Ecology-Progress Series 137:265-71. Rodriguez, F., Derelle, E., Guillou, L., Le Gall, F., V aulot, D. & Moreau, H. 2005. Ecotype diversity in the m arine picoeukarvote Ostreococcus (Chlorophyta, Microbiology 7:853-59. Prasinophyceae). Environmental R onquist, F. & Huelsenbeck, J. P. 2003. M rBayes 3: Bayesian phylogenetic inference under mixed models. Bioinform atics 19:1572-74. Rynearson, T. A. &; A rm brust, E. V. 2000. DNA fingerprinting reveals extensive genetic diversity in a field population of the centric diatom D itylum brightwellii. Limnology and Oceanography 45:1329-40. Sabbe, K., Verleyen, E., Hodgson, D. A., V anhoutte, K. & Vyverman, W. 2003. Benthic diatom flora of freshwater and saline lakes in the Larsem ann Hills and Rauer Islands, E ast A ntarctica. Antarctic Science 15:227-48. Sabbe, K. Sz Vyverm an, W. 1991. D istribution of benthic diatom assemblages in the W esterschelde (Zeeland, T he Netherlands). Belgian Journal o f Botany 124:91-101. Saez, A. G., P robert, I., Geisen, M., Quinn, P., Young, J. R. & Medlin, L. K. 2003. Pseudo-cryptic spéciation in coccolithophores. Proceedings o f the National Academ y o f Sciences o f the United States o f Am,erica 100:7163-68. Sahan, E., Sabbe, K., Creach, V., H ernandez-Raquet, G., Vyverm an, W., Stal, L. J. & Muyzer, G. 2007. C om m unity structure and seasonal dynamics of diatom biofilms and associated grazers in in tertid al m udflats. Aquatic Microbial Ecology 47:253-66. Sarno, D., Kooistra, W ., Medlin, L. K., Percopo, I. & Zingone, A. 2005. D iversity in the genus Skeletonema (Bacillariophyceae). II. An assessm ent of the taxonomy of S-costatum -like species with the description of four new species. Journal o f Phycology 41:151-76. Slapeta, J., Lopez-Garcia, P. & M oreira, D. 2006. Global dispersal and ancient cryptic species in the smallest m arine eukaryotes. M olecular Biology and Evolution 23:23-29. Snoeijs, P. Sz P otapova, M. 1995. Intercalibration and Distribution of D iatom Species in the Baltic Sea. Opulus Press, Uppsala, Sweden, 50 Pseudocryptic species in N avicula phyllepta Swofford, D. L. 2001. PAUP*. Phylogenetic Analyses Using Parsim ony (*and Other M ethods). Version 4.0b8. Sinauer, Sunderland, M assachusetts. Thom pson, J. D., Gibson, T. J., Plewniak, F ., Jeanmougin, F. & Higgins, D. G. 1997. T he CLU STA L_X windows interface: flexible strategies for m ultiple sequence alignm ent aided by quality analysis tools. Nucleic Acids Research 25:4876-82. T hornton, D. C. O., Dong, L. F., Underwood, G. J. C. & Nedwell, D. B. 2002. Factors affecting m icrophytobenthic biomass, species composition and production in the Colne E stuary (UK). Aquatic Microbial Ecology 27:285-300. Underwood, G. J. C. & B arnett, M. 2006. W hat determ ines species composition in m icrophytobenthic biofilms? In: Krom kam p, J. C., De Brouwer, J. F. C., B lanchard, G. F., Forster, R. M. & Créach, V. [Eds.] Functioning o f Microphytobenthos in Estuaries. Proceedings o f the Microphytobenthos Sym posium. Royal Netherlands Academ y o f A rts and Sciences. Am sterdam , pp. 12138. Underwood, G. J. C., Phillips, J. &; Saunders, K. 1998. D istribution of estuarine benthic diatom species along salinity and nutrient gradients. European Journal of Phycology 33:173-83. Underwood, G. J. C. & Provot, L. 2000. Determ ining the environm ental preferences of four estuarine epipelic diatom taxa: growth across a range of salinity, nitrate and ammonium conditions. European Journal o f Phycology 35:173-82. Vanorm elingen, P ., Chepurnov, V. A., M ann, D. G., Sabbe, K. & Vyverm an, W. 2008. Genetic divergence and reproductive barriers among morphologically heterogeneous sym patric clones of Eunotia bilunaris sensu lato (Bacillariophyta). Protist 159:7390. W awrik, B., Paul, J. H. & T abita, F. R. 2002. Real-tim e PC R quantification of rbcL (ribulose-l,5-bisphosphate carboxylase/oxygenase) mRNA in diatom s and pelagophytes. Applied and Environmental, Microbiology 68:3771-79. W hite, T. J., Bruns, T. D., Lee, S. B. & Taylor, J. W . 1990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In: Innis, hl. A., Gelfand, D. H., Sninsky, J. J. & W hite, T . J. [Eds.] P C R Protocols: A Guide to Methods and Applications. Academic Press, New York, pp. 315-22. 51 Chapter 2 Witkowskii, A., Pilzen, M., K ort, R., Rhiel, E., W awrzyniak-W ydrowska, B., Lange-Bertalot, H., Bak, M. & Daniszewska, G. 2004. Investigations on th e seasonal succession of W adden Sea inhabiting diatom s at D angast (N orth Sea, Germ an bight) over a one year period. Vie E t M ilieu-Life and Environm ent 54:181-89. Wood, A. M., Leatham , T ., M anhart, J. R. & M cCourt, R. M. 1992. The species concept in phytoplankton ecology. Journal o f Phycology 28:723-29. Zechman, F. W., Zimmer, E. A. & Theriot, E. C. 1994. Use of ribosomal DNA internal transcribed spacers for phylogenetic studies in diatom s. Journal of Phycology 30:507-12. Zwart, G., Huismans, R., van Agterveld, M. P ., Van de Peer, Y., De Rijk, P., Eenhoorn, H., Muyzer, G., van Hannen, E. J., Gons, H. J. & Laanbroek, H. J. 1998. Divergent members of the bacterial division Verrucomicrobiales in a tem perate freshwater lake. Ferns Microbiology Ecology 25:159-69. 52 Pseudocryptic species in N avicula phyllepta S u p p le m e n t a r y m a te r ia l P e a r s o n ’s r e s i d u a l s f o r C l a d e A O r g a n ic N I r r a d ia t io n S a lin ity -M* * .* 5 0 . . * P e a r s o n 's r e s i d u a ls fo r C l a d e B I r r a d ia t io n NH of te m p e ra tu re NO S u p p le m e n ta r y fig u r e 1 . P e a r s o n ' s r e s i d u a l s f o r t h e s t e p w i s e m u l t i p le reg re s s i o n s s h o w n in t a b l e 2. 53 Chapter 3 A b s tr a c t How sim ilar are closely related lineages of microalgae in their ecological niches? C an therm al niches evolve fast on an evolutionary timescale resulting in regular switches between climates or are they instead highly conserved? To address these questions we composed a set of closely related strains of th e globally distributed diatom genus Cylindrotheca,. W e collected strains from a wide range of m arine h abitats, from coastal plankton to sea ice and intertidal mudflats. We first inferred the evolutionary relationships of these strains using a multi-locus DNA dataset and obtained a well-resolved phylogeny. W e then determined tem perature preferences of closely related lineages in laboratory experiments. Combining the m olecular phylogeny with the therm al niches of lineages revealed a very weak phylogenetic signal in therm al niche characteristics. This indicates th a t closely related species tend to differ more in therm al niche th a n expected by a random walk model. This seems to be caused by a com bination of adaptive evolution and frequent shifts in environm ents in related lineages. 56 Thermal niche evolution in C ylindrotheca I n t r o d u c t io n T o w hat ex tent closely related species are similar in their ecological niches is a m ajor and recurring them e in evolutionary biology and ecology (Harvey & Pagei, 1991, Losos, 2008, W iens et a i, 2010). Two extremes along a continuum of niche evolution can be distinguished: phylogenetic niche conservatism and adaptive radiation (Ackerly, 2009). Phylogenetic niche conservatism (PNC) is th e tendency of species to retain aspects of their fundam ental niche over time (Wiens G raham , 2005). Conservative evolution of ecological traits can arise from different processes such as stabilizing selection (Ackerly, 2003), insufficient genetic variation (Bradshaw, 1991) and homogenizing gene flow counteracting local niche ad aptation (Holt & Gomulkiewicz, 1997). W hile several studies have dem onstrated PNC in a broad range of organisms (e.g. Ackerly, 2004, Kozak & Wiens, 2006, W iens et al., 2006, Verbruggen et a l, 2009, Bahl et a l, 2011), others find no or only weak evidence for PN C and instead report no or only little relation between phylogenetic relatedness and niche sim ilarity (Rice et a l, 2003, Cavender-Bares et a l, 2004, G raham et a l, 2004), for instance in the case of adaptive radiation (Losos et ah, 2003). A daptive radiation can be defined as “the evolutionary divergence of members of a single phylogenetic line into a variety of different adaptive forms”; usually this divergence occurs over a relatively short geological time span (Futuym a, 1998). Given the paucity of d ata, it is a t present not known how im portant PN C is, and more im portantly to w hat degree influence the incidence of PNC. organism al or environm ental features Ideally, th e com bination of robust phylogenetic inform ation and inform ation on niche preferences allows estim ating how fast ecological divergence evolves between related species (Cooper et ah, 2010). Niche inform ation can be obtained either by ecological niche modelling or by ecophysiological experim ents. Niche modelling techniques are based on d ata on the current distribution of a species and th e range of environm ental conditions it occupies (the realized niche), which is typically sm aller th a n the suit of environm ents a species can potentially inhabit (the fundam ental niche) (Colwell & Rangel, 2009). This, together w ith the choice of modelling techniques can influence the patterns inferred from a phylogenetic com parative analysis. Ecophysiological 57 Chapter 3 experim ents allow defining th e fundam ental niche of organisms for the environm ental variable of interest. O ur views on evolutionary niche dynamics are biased towards macroscopic and often eye-catching species m ainly from terrestrial communities; a selection often guided by natural history observations on striking ecological differentiation (Ackerly, 2009). This clade selection disregards th e microbial world. Little is known about evolutionary niche dynam ics in m arine microbial species (Palum bi, 1994). M arine microbial populations are often believed to lack geographical barriers to gene flow (Cermeño h Falkowski, 2009, b u t see Casteleyn et al., 2010) which would frequently lead to the dispersal of large num bers of cells into unfavourable environments. It has been hypothesized th a t marine com m unities are characterized by a widespread occurrence of ecological spéciation, i.e. reproductive isolation caused by divergent natural selection (e.g. Ingram , 2011), but the im portance of this m echanism is unknown in m arine microbial communities. In this study we focus on the globally distributed diatom genus Cylindrotheca. Species of this genus are common in a wide range of coastal h ab itats, from coastal plankton to sea ice and intertidal m udflats. O ur goal was to determ ine the evolutionary therm al niche dynam ics of m arine Cylindrotheca species. Therefore, we first determ ined the phylogenetic relationships between Cylindrotheca lineages and experim entally quantified their fundam ental tem perature niches. W e then integrated th e fundam ental therm al niche and th e phylogenetic inform ation to infer tem perature niche evolution by calculating the phylogenetic signal in the available data. M a t e r ia ls a n d M e t h o d s T a x o n s a m p lin g W e collected a set of 40 strains belonging to Cylindrotheca cf closterium and C. cf. fusiform is (Table 1). Tw enty-tw o strains were newly isolated from m arine and brackish sediment and plankton sam ples (sampling localities in T able 1 and Fig. 1). Diatoms were harvested from sediments using th e lens tissue technique (Eaton & Moss, 1966); m igratory 58 Thermal niche evolution in C ylindrotheca microalgae were collected by placing a piece of lens tissue on top of the sedim ent followed by a coverslip on the tissue, which was transferred to autoclaved seawater after 3 hours of incubation a t low light. We established monoclonal, non-axenic cultures by isolating single cells by m icropipette and subsequent culturing in sterile filtered (0.2 pm) seaw ater (33 psu) enriched with f/2 nutrients (Guillard, 1975). T he other 18 strains were obtained from the Provasoli-Guillard N ational Centre for C ulture of M arine Phytoplankton, U.S. (CCM P); th e Commonwealth Scientific and Industrial Research O rganization (CSIRO) collection of living microalgae (Australia), and th e culture collection of algae and protozoa (C C A P), UK. Strains PT01, SP01, GB01 and CIM222 were kindly provided by J. Serodio, I. Moreno G arrido and J. Taylor and hi. Pfannkuchen. F ig u r e 1 . G e o g r a p h i c d i s t r i b u t i o n o f C ylindrotheca s t r a i n s . 59 Chapter 3 T ab le 1. List o f C ylindrotheca s t r a i n s u se d in t h i s s t u d y . C.f. = C ylindrotheca fusiform is, C.c. = C ylindrotheca closterium . S tra in I s o l a to r I s o l a ti o n O rig in L a titu d e /L o n g itu d e d a te num ber S p e c ie s id e n t i t y A N T 1001 B. V anelslander 2010 King G eorge, A n ta rc tic 62“ 13' S, 58=40' W C.f. A N T 902 B. V anelslander 2010 King G eorge, A n tarctic 62“ 13’ S, 58 40' W C.f. A N T105 B. V anelslander 2010 King George, A n tarctic 62 13’ S, 58 4 0 ' W C.c. A N T304 B. Vanelslander 2010 King George, A n ta rc tic 62 13' S, 5 8 4 0 ' W C.c. A N T401 B. V anelslander 2010 King George, A n tarctic 62“13’ S, 58 40' W C.c. A N T 6 04 B. Vanelslander 2010 King George, A n tarctic 62 13' S, 58 40' W C.f. A N T903 B. V anelslander 2010 King George, A n tarctic 62“ 13' S, 58°40' W C.c. CC A P101708 B res nan 2004 Buckie, S co tlan d , UK 57“ 40 N , 2“ 58’ W C.c. CC A P101709 Bresnan 2004 Cove Bay, S co tlan d , UK 57“ 06’ N, 2' 04’ W C.c. C C A P101711 B rosnan 2004 Stonehaven, Scotland, UK 56“ 58’ N, 2“ 12’ W C.c. C C M P 2086 C. Lovejoy 1998 Baffin Bay 78“ 36' N , 74" 29’ W C.f. CC M P1554 D . .laeobson 1993 Boothbay H arbor, M aine 43' 50’N, 69“ 38' W C.c. C C M P1725 J . S tirn 1995 G ulf o f O m an , A rab ian Sea '23° 34' N , 58“ 51’ E C.c. C C M P1989 N. Rolde 1997 M idw ay Islands 28“ 12' N, 177° 21’ W C.c. C C M P340 B. Palenik 1988 Open ocean, Sargasso Sea 2 8 ' 59’ N, 64“ 22’ W C.f. C C M P343 S. W atso n 1958 W oods Hole, M assachusetts 41“ 31’ N, 70° 40’ W C.f. C C M P 344 W . M addox 1960 S an d y Hook, New Jersey 40“ 27’ N, 74 W C.f. C C Y 9601 H. Peletier 2007 Em s-D ollard, Holland 53“ 15' N, 7 ’ 05’ E C.f. C IM 2 2 2 M. Pfannkuchen 2009 A driatic, C ro a tia 44“ 0 2 ’ N, 1 3 ' 14’ E C.c. C S -1 1 4 J.L . Stauber 1980 Coral Sea, A u stra lia 17“ S, 149“ E C.c. C S -5 M. Wot.ten 1962 P o rt H acking-A ustralia 34" 04’ S, 151 08’ E C.c. G B 01 .1. T aylo r 2008 Colne, UK 51“ 50’ N, 0“ 59’ E C.c. H3 B. Vanelslander 2007 W estern S ch eld t, Holland 51 “21' N , 3°43' E C.c. I ID 0 2 B. V anelslander 2006 W estern S cheldt, Holland 51“19' N , 4° 16' E C.f. I I I D 13 B. V anelslander 2006 W estern S cheldt, Holland 51 “19' N, 4“ 16' E C.f. IIP 0 3 B. V anelslander 2006 W estern S cheldt, Holland 5 1 '2 1 ' N, 3 43' E C.f. IIP 1 4 B. Vanelslander 2006 W e ste rn S cheldt, Holland 51 “21 ' N, 3“ 43’ E C.f. K D 10 .1. W ölfel 2005 N y- lcsund, Spilbergen 78“ 55’ N , 11 56’ E C.c. M ID 2 2 B. Vanelslander 2007 Veerse M eer, Holland 51-33'N , 3“47’ E C.c. OS1 B. V anelslander 2007 E a ste rn S cheldt, Holland 51 32’N, 3“44’ E C.c. OS13 B. Vanelslander 2007 E astern S cheldt, Holland 5 1 '3 2 'N , 3‘44’ E C.c. O S9B B. V anelslander 2007 E a ste rn S cheldt, Holland 51°32’N, 3°44’ E C.c. PS10 B. Vanelslander 2008 W e ste rn S cheldt, Holland 5 T 2 1 ’ N , 3“43’ E C.c. PS2 B. Vanelslander 2008 W estern S cheldt, Holland 51*21’ N, 3°43’ E C.c. PT01 .1. Serodio 2004 Rio d e A veiro, P o rtug al 40“ 39’ N, 8 40’ E C.c. SP01 I. M oreno-G arrido 2000 P u e rto Real, Spain 36“ 36’ N, 6“ 12’ E C.c. W 0214 B. Vanelslander 2010 N o rth Soa, Belgium 51 13’ N, 2“ 51’ E C.f. W 0222 B. Vanelslander 2010 N o rth Sea, Belgium 51°13’ N , 2“ 51’ E C.f. W 0224 B. Vanelslander 2010 N o rth Sea, Belgium 51“ 13’ N , 2° 51’ E C.f. 60 Thermal niche evolution in Cylindrotheca All cultures were kept in 24-well plates (Greiner Bio-One, Frickenhausen, Germany) a t 18 ± 0.3°C w ith a 16:8 lightidark period and 50 pmol photons m 'V from cool-white fluorescent tubes. T he strains with strain designation beginning w ith “A N T ’, strain KD10 and CCM P 2086 were isolated and m aintained a t 6°C. The cultures were transferred every 2 weeks to fresh medium. G r o w th a t d iffe re n t t e m p e r a tu r e s W e assessed the growth perform ance of the 40 strains at 7 different tem peratures (0.2, 5, 10, 15, 20, 25 and 33°C). Each treatm ent was replicated four times. Cells for growth experiments were harvested from exponentially growing cultures and inoculated in 24-well plates a t a cell density of -3,000 cells mL h Light conditions and culture m edium were identical to those described above for the stock cultures. W e monitored growth by pulse am plitude m odulated (PAM) fluorescence (MAXI Im aging PAM fluorometer, Walz, Germ any). We used the minimum fluorescence yield Fo as a proxy for biomass (Honeywill et al., 2002). We determ ined the growth rate during the exponential grow th phase (4-5 d) as the slope of the linear regression of log2-transformed F0 fluorescence versus time for individual cultures. T he relation between growth ra te and tem perature was modeled as in R innan et al. (2009) using the following function: p = a* (T -T min) * ( l - e(b‘(T-Tm"x))) Tnuw and T m¡„ are the m aximum and m inimum tem perature permissible for growth. T he param eter “a ” is the slope and b is a fitted param eter related to the decrease in growth above T opt. T he equation was fitted to the growth a t different tem peratures for each replicate using S tatistica 6.0 (StatSoft, Tulsa, OK, USA). O ptim al tem perature and the tem peratures (both low and high) at which the growth was 20% of the m axim al grow th rate were th en calculated using a function calculator. 61 Chapter 3 P h y lo g e n y W e inferred the evolutionary history of the 40 Cylindrotheca strains from a multi-locus DNA dataset. W e selected five DNA regions, i.e. the nuclear ITS region (consisting of ITS1, 5.8S rRNA gene, and ITS2) and D1/D 2 LSU rDNA, th e chloroplast RUBISCO large subunit gene (r6cL) and psbA and th e m itochondrial gene coxi. Cells for DNA extraction were harvested from exponentially growing cultures and pelleted by centrifugation. W e extracted DNA using the bead-beating m ethod with phenol extraction and ethanol precipitation as described by Zwart (1998). Sequence d ata were obtained using previously published P C R primers and protocols (rbcL and ITS: Vanelslander et al. (2009), co x i: Evans et al. (2007), LSU rDNA: Vanelslander et al. (subm itted), psbA: Souffreau et al. (subm itted). All sequences generated during this study were deposited in Genbank (accession num bers XXX-XXX, will be added later on). W e autom atically aligned the sequences using M A FFT v6.843b (Katoh et al., 2005) and removed ambiguous positions from th e ITS alignm ent with Gblocks 0.9'lb (Talavera & C astresana, 2007) allowing a m aximum of 8 nonconserved contiguous positions. D ata for some DNA regions were missing for several species (mainly due to erratic performance of the coxi prim ers), but the concatenated d a ta m atrix was 84.9 % filled. W e performed Bayesian phylogenetic inference (Bí) on the concatenated dataset using MrBayes version 3.1.2 (Ronquist & Huelsenbeck, 2003). W e used a G T R + I+ G model in which each proteincoding gene (coxi, psbA and rbcL) was partitioned into three codon positions and LSU rDNA and ITS rDNA were treated as separate partitions resulting in 11 partitions. Pseudo-nitzschia pungens was chosen as outgroup. All param eters were unlinked between partitions. Two independent runs of four increm entally heated Metropolis-coupled MonteCarlo M arkov Chains (MCMC) were run for 20 million generations using default settings. Runs were sampled every 1,000th generation, and convergence and stationarity of the log-likelihood and param eter values was assessed using T racer v.1.5 (R am baut and Drum m ond, 2007). The first 4 million generations were discarded as burn-in and a m ajority rule consensus tree was generated. W e estim ated divergence times under a relaxed m olecular clock using an uncorrelated lognormal model in BEAST vl.4.6 following 62 Thermal niche evolution in C ylindrotheca Souffreau et al. (subm itted). We used one single calibration point, being the split of C. closterium and C. fusiform is estim ated a t 9 Ma (Sorhanrms, 2007). T he resulting chronogram displayed such a large uncertainty of divergence times th a t we did not include it in further analyses and it is not shown in this m anuscript. I n te g r a tio n o f e co lo g ical d a t a a n d p h y lo g e n e tic in fo r m a tio n Most analyses of tra it evolution require ultram etric trees in which branch lengths are proportional w ith time, and not th e estim ated am ount of molecular evolution inferred by our Bayesian analysis. Therefore, we converted our consensus phylogram into a chronogram using penalized likelihood rate sm oothing (Sanderson, 2002) in th e R package Ape (Paradis et al., 2004) w ith a lam bda value of 0.1. C urrent traits were plotted on this chronogram to visualize trait diversity. W e further visualized tra it diversity by plotting traitgram s (Ackerly, 2009) which draw phylogenies in which the y position of nodes and tips corresponds to the value of a continuous tra it variable, and x position corresponds to node depth using the R package Picante (Kembel et al., 2010). W e quantified th e degree to which phylogenetic relatedness predicts tra it sim ilarity by calculating the K statistic presented by Blomberg et al. (2003) using the R package Picante. This statistic compares th e observed phylogenetic signal in biological traits to the signal expected under a Brownian m otion model of tra it evolution using the same topology and branch length of the phylogeny. This Brownian m otion model calculates evolution of traits as a random walk along lineages in which th e change in traits at each tim e unit is sam pled from a norm al d istribution w ith a m ean of zero and a certain variance. To test for statistical significance of this K value, we performed 1,000 sim ulations to compare th e observed signal with the distribution of randomized values. K values range between zero and infinity. K > 1 mean th a t traits of related lineages are more similar th an expected on the basis of Brownian m otion, which is often used as an indication of phylogenetic niche conservatism (Losos, 2008). K values = 1 correspond to a Brownian m otion process and also suggest a certain degree of conservatism in trait evolution. K values < 1 suggest lower th an expected ecological sim ilarity between closely related lineages and may result from divergent selection. 63 Chapter 3 Because th e K statistic is a standardized value, it can be used to compare p attern s of tra it evolution in different clades. W e com pared the distribution of tra it disparity w ithin and among clades by constructing disparity-through-tim e plots (Harm on et a l , 2003) in the R package Geiger (Harm on et al., 2008). For each interior tree node, m ean relative tra it disparity is calculated among all subclades present a t th a t time. This m ethod thus provides a running average tra it disparity through tim e and compares this to the expected tra it disparity under a Brownian motion model. T h e phylogenetic com parative m ethods used here are based on species-specific tra it means and do not incorporate within-species variation. Therefore, we pruned the phylogenetic tree by removing strains w ith identical sequences and assigning their mean tra it value to the single sequence retained. T his is not ideal because it removes p a rt of the observed tra it variation, but otherwise there would be an artificial increase in th e num ber of clades (each strain is seen as a different lineage) which would bias the results in the case of lineages w ith more strains. S ea s u rfa c e te m p e r a tu r e T em perature traits were plotted against the yearly average sea surface tem perature (SST) from their sampling origin. SST values were the average SST between 1971 and 2000 and were obtained from th e National Oceanic & Atmospheric A dm inistration h ttp ://w w w .esrl.noaa.gov/psd/ accessed on M arch 10, 2011). (NO A A, R e s u lt s Bayesian phylogenetic analysis of the concatenated alignm ent of rbcL, psbA, LSU rDNA, ITS and coxi sequences (a to tal of 3780 characters) resulted in a well-resolved Cylindrotheca phylogeny (fig. 2). We morphologically assigned strains to C. cf closterium and C. fusiformis. Our phylogeny clearly indicates th a t these morphospecies consist of a diverse set of genetic lineages, possibly representing cryptic species. There appears to be no pronounced geographic pattern in the phylogenetic tree, especially when we added rbcL and ITS sequence d a ta of Chinese strains 64 Thermal niche evolution in C ylindrotheca from Qingdao (Fig. 3) (Li et al., 2007), a strain from Maine (CCMP339). Lineages containing Chinese strains d id n ’t group together but were dispersed over the phylogeny, even though no lineages were shared betw een tem perate A tlantic and Chinese strains. W e examined growth and survival of the Cylindrotheca strains across a tem perature range from 0.2 to 33 °C. Strains from different clim ate zones strongly differed in their ability to cope w ith low and high tem peratures (fig. 2). Strains sam pled from areas w ith cold clim ates (i.e. Spitsbergen, Baffin Bay, A ntarctica) showed a lim ited ability to grow at tem peratures >20°C, while strains from tropical and subtropical regions (Coral Sea, Gulf of Oman) had strongly reduced growth rates at tem peratures <10°C. Strains from tem perate regions had a broader tem p eratu re range. Yearly average sea surface tem perature from the sam pling location was significantly related w ith optim al growth tem p eratu re (Spearm an R = 0.625, P — 0.00001), low tem perature threshold for 20% growth (R = 0.590, P = 0.00006) and high tem perature threshold for 20% growth (R = 0.700, P < 0.00001) (Fig. 4). We also observed a strong correlation between growth a t high and low tem peratures (R = 0.652, P < 0.0001) (Fig. 4), suggesting th a t species th a t are able to grow a t low tem peratures are on average less able to grow a t high tem peratures and vice versa. 65 Chapter 3 ío zS So o H S'? F ig u r e 2 . C o n s e n s u s t r e e f r o m a B a y e s i a n an a l y s i s o f five m o l e c u l a r loci. N u m b e r s a t n o d e s a r e p o s t e r i o r p r o b a b ilitie s i n d i c a t i n g t h e s u p p o r t f o r e a c h n o d e ; b r a n c h l e n g t h s a r e pro p o rtio n al to se q u en ce ch a n g e . F o r each strain t h e g ro w th r a te as a function of 7 d i f f e r e n t t e m p e r a t u r e s is s h o w n . 66 Thermal niehe evolution in C ylindrotheca — P se u d o n itz s c h ia p u n g e n s P se u d o n itzsc h ia m ultiseries A N T604 A n ta r c tic a CC M P340 S a rg a sso W 0222 W 0 2 2 4 N o rth S e a W 0214 P A N TS02 C C M P2086 « n la r c llc a B a ffin B a y C C M P 3 4 3 M a s s a c h u s e tts CC Y 9601 H o lla n d C y lin d r o th e c a C C M P 3 4 4 N ew J e rse y cf. fu s ifo r m is IID 02 T 1 IID 0 3 \ H o lla n d IIP 0 3 IIP 1 4 C C M P 1 7 2 5 G u lf o f O m a n C S 1 14 C o r a l S e a , A u s tra lia ,r — C I M 7 2 2 A d ria tic , C r o a tia C C M P 1 9 8 9 M id w a y I s la n d s C S 5 P o r t H a c k in g , A u s tra lia i 1 O S 9 B H o lla n d PS10 H o lla n d C y lin d r o th e c a i— C C M P 1 5 5 4 M a in e cf. c lo s te r iu m Jj ANT105 A N T 3 0 4 A n ta rc tic a AN T401 A N T903 'C C A P 1 0 1 7 1 1 S c o tla n d K D 10 S p its b e rg e n S P 0 1 S p a in G B 01 E n g la n d C C A P 1 0 1 7 0 8 S c o tla n d C C A P 1 0 1 7 0 9 S c o tla n d H3 H o lla n d M id 2 2 o m PT01 I O S1 O S13 P o r tu g a l H o lla n d _QJ F ig u r e 3 . C o n s e n s u s t r e e f r o m a B a y e s i a n an aly s is o f five m o l e c u l a r loci u s i n g t h e s e q u e n c e s f r o m fig 2, b u t w i t h a d d i t i o n a l s t r a i n s a d d e d (o n ly rbcL a n d I T S d a t a for t h e s e a d d e d s t r a i n s ) . S t r a i n s i n d i c a t e d in g r e y w e r e n o t used f o r t h e e c o p h y s io lo g ic a l e x p e r i m e n t s a n d t h e r m a l n i c h e a n a l y s e s . T h e origin o f s t r a i n M 8 7 3 2 6 is u n k n o w n . 67 Chapter 3 u 30 A Q) 3 25 fö S a 20 I 15 *-• ♦ ♦ t * £ io I ¡2 5 0 -5 a. 0 5 10 15 20 25 30 A n n u a l M e a n S e a S u r f a c e T e m p e r a t u r e ("C) u 45 J 40 <N 30 0 25 0 5 10 15 20 25 30 A n n u a l M e a n S e a S u rfa c e T e m p e ra tu re fC ) D I 35 S -5 * t* ** ♦ . ♦ 1 20 ♦ ♦ * ♦ ♦ ♦ ♦ ♦ cu 15 -5 0 5 10 15 20 25 A n n u a l M e a n S e a S u r f a c e T e m p e r a t u r e (°C) 30 0 5 10 L o w e r lim it f o r pó g r o w t h (°C) F ig u r e 4 . P l o t s o f n ich e t r a i t s v e r s u s a v e r a g e a n n u a l m e a n s e a s u r f a c e t e m p e r a t u r e ( S S T ) A: O p t i m a l g r o w t h t e m p e r a t u r e in f u n c t i o n o f a n n u a l m e a n S S T . B: L ower l im it for 2 0 % g r o w t h v e r s u s m e a n a n n u a l S S T . C: U p p e r limit f o r 2 0 % g r o w t h v e r su s m e a n a n n u a l S S T . D: U p p e r lim it f o r 2 0 % g r o w t h v e r s u s L o w e r lim it f o r 2 0 % g r o w t h . Thermal niche evolution in C ylindrotheca F ig u r e 5 . Consensus chronogram th e tem p eratu re n O O L1- r*-» w ith current r z o o o o z z o o q o i£ û û (o o lœ u w ü )ü z zû O z zû .iD ü ü ^ h W w < U 5 S ^ < < Ü Ü Ü Ü r = = = O O O £ L U 0 ü ü « í ¿ U < < W Ü U ü 5 lú .0 0 tr TO ÇTT traits p l o t t e d on t h e t r e e tips. i •T- (\J T- u“j 5 ^ T P s y g g P P iI^ i? 8 8 S ^ s|® s S » s p P 5 < ^ p 5 5 < < § u , . zügÇ gzzüUOün.iQQiooim om M UzzQOzzam üüSnhm w < U S S S « Ü U O U = = = = Ü O O I1 Ü O O O C < VO <<C 0O O O S X D.OO tr T O I^ T T T c I 05 COTf S O O ¡??89?2gg; f— - > CNC\J C P P ss^ sjg g g ;:!^ ® : ZQOOÇ z i z 0 u b 0 í g Q Q ¡ 0 0 1 w ü m m O z z ü O 2 z ° m o o 5 n h r o ( ñ <o£->: «ouou====oüOû.üOüo«ïu«rooou5iD.oo CD O O 69 Chapter 3 T o deduce p attern s in niche evolution we first plotted th e tem perature tra it values of th e individual strains on the chronogram (Fig. 5) and m ade traitg ram s to visualise the distribution of tra its along th e phylogeny (Fig. 6). Using th e K estim ate of Blomberg et al. (2003), we found very weak phylogenetic signals in optim al tem perature (K = 0.261, P = 0.0009), low tem perature thresholds for 20% grow th (K — 0.221, P = 0.0019) and high tem perature thresholds for 20 % growth (K = 0.353, P = 0.0019). T he disparity-through-tim e plots (Fig. 7) confirmed the findings from the K statistic and showed th a t tra it diversification is higher than expected under a Brownian motion model of evolution. T he plots further show th a t th ere is m ainly a trait diversification in low tem perature thresholds and th a t tra it disparity starts already at th e origin in the clade and is alm ost constantly higher th a n expected under a Brownian motion model. L O W T E M P E R A T U R E T h R E S H O L D M =20<P, <°C) H IG H T E M P E R A T U R E T h R E S H O L D M = 2 0 '!. F ig u r e 6 . P h y l o g e n e t i c t r a i t g r a m s w i t h C T E M P E R A T U R E O P T IM U M C C ) lin e a g e s a r r a n g e d a l o n g a c o n t i n u o u s t r a i t ax is (lo w a n d h ig h t e m p e r a t u r e t h r e s h o l d a n d t e m p e r a t u r e o p t i m u m ) a n d c o n n e c t e d by t h e u n d e r l y i n g p h y l o g e n y . 70 Thermal niche evolution in C ylindrotheca Low t e m p e r a t u r e tre sh o ld High t e m p e r a t u r e tre sh o ld P >x » ~ o 03 >v 4-* \ ra Q . io fo O CL CO Ö CNJ .. Ö ‘| q ö I ' 0.0 0.2 0.4 0.6 0.8 i 0.0 1.0 0.2 0.4 0.6 0.8 1.0 R ela tive t i m e R e la tive t i m e O ptim al te m p e r a tu re C o m b i n e d traits "D ai 0.2 0.4 0.6 0.8 0.4 R e la tiv e t i m e F ig u r e 7. D isparity-through-tim e 0.6 0.8 R e la tive t i m e plots. P lots show th e observed relative trait d i s p a r i t y v e r s u s re la tiv e t i m e f o r C ylindrotheca l i n e a g e s c o m p a r e d w i t h m e a n e x p e c t e d t r a i t d i s p a r i t y b a s e d o n 1 ,0 0 0 s i m u l a t i o n s o f B r o w n i a n m o t i o n e v o l u t i o n ( d a s h e d line). T h e d i s p a r i t y a t a given t i m e p o i n t is t h e m e a n d i s p a r i t y o f t h e s u b c l a d e s w h o s e a n c e s t r a l l i n e a g e s w e r e p r e s e n t a t t h a t t i m e r e l a t i v e t o t h e t o t a l d i s p a r i t y o f all t a x a i n c o r p o r a t e d ( H a r m o n e t al., 2 0 0 3 ) . D is c u s s io n T he well-resolved, five-gene phylogeny combined with inform ation on the fundam ental tem perature niche enabled us to infer therm al niche evolution w ithin m arine lineages of the diatom genus Cylindrotheca. We only observed a weak phylogenetic signal in therm al niche evolution, which suggests th a t closely related lineages tend to differ more in their 71 Chapter 3 tem perature niche th an expected on th e basis of a Brownian motion model. Phylogenetic signals can also be reduced when there is convergence in traits in distantly related lineages, like we observed for the cold adapted strains ANT105, ANT604, ANT1001 and CCMP2086. However, despite the overall low phylogenetic signal, conservatism in tra its does appear to exist in some clades. For example, in the case of the three Scottish strains which originate from the sam e clim ate conditions b u t belong to different lineages (CCAP 101708, C CA P 101709 and CCAP 101711), we observed th a t th e strain which has cold adapted sister lineages in th e A ntarctic and Spitsbergen (CCAP 101711) is unable to grow a t 25°C, while the two other strains do show higher tem perature thresholds. T h e K statistic is only a measure of a p attern and the in terp retatio n of the K statistic in term s of niche conservatism and adaptive radiation should be done w ith care (Ackerly, 2009). K values should not be light-heartedly attrib u ted to a certain evolutionary process because very different evolutionary processes can produce similar results in term s of phylogenetic signal (Reveil et al., 2008). Low K values could be caused by a combination of adaptive evolution and frequent habitat shifts between closely related lineages. Low K values however can also result from constant stabilizing selection tow ards a single peak (Reveil et al., 2008) in which some lineages will adopt extrem e niches, while most will be draw n back towards traits optim al for more common conditions (Ackerly, 2009). Low K values can also arise by a random walk pattern w ith constant evolutionary bounds such as a certain physiological constraint on th e occurrence in particular conditions. Bounded evolution however should lead to a uniform distribution of tra it values (Ackerly, 2009), which is not observed in our data. T he disparitv-through-tim e plots show th a t there is higher trait diversification th a n expected under a Brownian m otion model of evolution, especially for growth a t low tem peratures and a t interm ediary phylogenetic distances. It is im portant to recognize th a t our molecular plrylogeny is far from complete. An extended sam pling effort would certainly increase the num ber of extant clades we detected so far. In addition, extinct Cylindrotheca species are very hard to detect, given th eir very weakly silicified cell wall and thus no fossil records. In an incom plete molecular phylogeny, the internal nodes near th e root will be on average more often included than nodes near the tips because deeper nodes have more descendants (Pybus & Harvey, 2000). T his can lead to 72 Thermal niche evolution in C ylindrotheca incorrect conclusions about rates of spéciation and tra it variation through tim e. So the interpretation of disparity-tlirough-tim e plots should be done w ith caution. O ur results are sim ilar to those of Ackerly et al. (2006), Evans et al. (2009), Knouft et al. (2006) and G raham et al. (2004) who found th a t clim atic tolerances are evolutionary highly labile and observed strong variation in climatic tolerances between closely related lineages in a range of terrestrial organisms (the woody plant group Caenothus, evening primroses, Anolis lizards and dendrobatid frogs). A comparison w ith other algae is difficult, since to our knowledge only three other studies have performed an analysis of therm al niche evolution in algae using a com bination of phylogenetic information and d a ta on niche preferences. Verbruggen et al. (2009) studied the climatic niche evolution in the seaweed genus Halimeda and concluded th a t there was a strong phylogenetic signal in th e niches for four out of five sections, w ith most lineages displaying a conserved preference for high average tem peratures and low nu trien t levels. Several lineages in a fifth clade however dic! show several independent adaptations to colder nutrient-rich waters. In a second study, B reem an et al. (2002) determ ined the evolution of therm al niches of related lineages in the green alga Cladophora and found differentiation in cold tolerance. Interestingly, they also found a negative relation between the capacities to grow a t high and low tem peratures. Such correlation can be caused by two different mechanisms. One is antagonistic pleiotropy (A ngilletta et a l, 2003, Zhan & M cDonald, 2011) in which m utations in a single gene result in ad ap tatio n to one tem perature regime but negatively affects growth at other tem peratures. T his would constitute a true trade-off between abilities to grow a t different tem peratures. A nother possibility is m u tatio n accum ulation (Cooper et al., 2001) in which different sets of genes are responsible for a good perform ance in different environments. D uring ad aptation in one environm ent, those genes th a t are no longer under selective pressure (e.g. those inferring heat tolerance in polar environm ents) become non-functional by the gradual accum ulation of m utations through genetic drift. A t the m om ent we can not distinguish between these two possibilities because we do not know the genes responsible for th e adaptation to high or low tem peratures. therm al In a third study, Souffreau et al. (unpublished) recently compared ad ap tation of different lineages within the cosmopolitan 73 Chapter 3 freshwater diatom Pinnularia borealis. Although th e num ber of sampled locations is limited, they observed a clear separation between a group of cold-adapted lineages from Chili, A ntarctica, Mongolia and the French Alps/Belgium and a group of tem perate clim ate adapted lineages from C anada/C zech Republic, Belgium and C anada/B elgium . T he divergence between both groups of lineages is estim ated at ca 22 million years ago. Some other studies on microalgae th a t were initially not m eant to compare niche characteristics and phylogenetic relations can nevertheless provide further information. Several studies on biogeographic distribution p attern s and phylogenetic relationships in marine microalgae hint th at there can be a high capacity for adaptation to new environments. Casteleyn et al. (2010) dem onstrated th e form ation of distinct lineages within the marine planktonic diatom species Pseudo-nitzschia pungens during the Pleistocene, w ith a lineage typical for tropical to warmtem perate waters, an antitropical (tem perate) lineage and a third lineage in the northeastern Pacific. Logares et al. (2008) dem onstrated the rapid evolution of a set of closely related m arine dinoflagellate lineages which inhabit a broad range of habitats from freshwater to marine, vet they all were typical for low tem perature conditions. Several laboratory experim ents have dem onstrated th a t microbial populations can rapidly ad ap t to stressful and selective environm ents (Vanormelingen (unpublished), Bell k. R,eboud, 1997, Bell & Gonzalez, 2009) and th a t adaptation depends on population sizes and the extent of genetic variation, next to m utation rates and th e frequency of sexual reproduction and the strength of the selection pressure. Micro-algae often have extremely large population sizes, especially in m arine environments, and can harbor pronounced genetic variation w ithin species (De B ruin et ah, 2004, Vanormelingen et ah, 2009). In com bination w ith a high dispersal potential in th e m arine environm ent (Cermeño & Falkowski, 2009) this could set th e stage for rapid adaptation to new environments. To which extent divergent adaptation to a variety of environm ental conditions is responsible for th e strong diversification in the Cylindrotheca lineages is difficult to deduce from correlative analyses as ours. Did ecological adaptation spur spéciation or vice versa? Several studies on diverse tax a (but not micro-algae) indicate th a t niche shifts due to natural selection trigger rapid divergence and even reproductive isolation (Losos et al., 1997, Funk, 1998, Filchak et a l, 2000, Jiggins et a l, 2001, Rundle & Nosil, 2005, Funk et a l, 2006). On an evolutionary 74 Thermal niche evolution in C ylindrotheca tim e scale, this coulcl result in th e here observed repeated tem perature niche shifts. C ite d R e fe r e n c e s Ackerly, D. 2009. Conservatism and diversification of plant functional traits: Evolutionary rates versus phylogenetic signal. Proceedings o f the National Academ y of Sciences o f the United States of A m erica 106:19699-706. Ackerly, D. D. 2003. C om m unity assembly, niche conservatism , and adaptive evolution in changing environments. Journal o f Plant Sciences 164:S165-S84. International Ackerly, D. D. 2004. A daptation, niche conservatism, and convergence: C om parative studies of leaf evolution in the California chaparral. A m erican N aturalist 163:654-71. Ackerly, D. D., Schwilk, D. W . & W ebb, C. O. 2006. Niche evolution and adaptive radiation: T esting the order of tra it divergence. Ecology 87.-S50-S61. Angilletta, hi. J., Wilson, R. S., Navas, C. A. & Jam es, R. S. 2003. Tradeoffs and th e evolution of therm al reaction norms. Trends in Ecology & Evolution 18:234-40. Bahl, J., Lau, M. C. Y., Smith, G. J. D., Vijaykrishna, D., Cary, S. C., Lacap, D. C., Lee, C. K., Papke, R. T., W arren-Rhodes, K. A., W ong, F. K. Y., McKay, C. P. & Pointing, S. B. 2011. Ancient origins determ ine global biogeography of hot and cold desert cyanobacteria. N at Com m un 2:163. Bell, G. & Gonzalez, A. 2009. Evolutionary rescue can prevent extinction following environm ental change. Ecology Letters 12:942-48. Bell, G. & Reboud, X. 1997. Experim ental evolution in Chlamydomonas .2. Genetic variation H eredity 78:498-506. in strongly contrasted environments. Blomberg, S. P ., G arland, T. & Ives, A. R. 2003. Testing for phylogenetic signal in com parative data: Behavioral traits are more labile. Evolution 57:717-45. Bradshaw, A. D. 1991. Genostasis and the limits to evolution. Philos Trans R Soc London Ser B 333:289-305. 75 Chapter 3 Breeman, A. M., Oh, Y. S., Hwang, M. S. & Van den Hoek, C. 2002. Evolution of tem perature responses in th e Cladophora vagabunda complex and the C-albida/s ericea complex (Chlorophyta). European Journal o f Phycology 37:45-58. Casteleyn, G., Leliaert, F., Backeljau, T., Debeer, A. E., Kotaki, Y., Rhodes, L., Lundholm, N., Sabbe, K. & Vyverm an, W. 2010. Lim its to gene flow in a cosmopolitan m arine planktonic diatom. Proceedings o f the National Academ y o f Sciences of the United States o f Am erica 107:12952-57. Cavender-Bares, J., Ackerly, D. D., Baum , D. A. & Bazzaz, F. A. 2004. Phylogenetic overdispersion in Floridian oak communities. A m erican Naturalist 163:823-43. Cermeño, P. Sz Falkowski, P. G. 2009. Controls on D iatom Biogeography in th e Ocean. Science 325:1539-41. Colwell, R. K. & Rangel, T. F. 2009. H utchinson's duality: T he once and future niche. Proceedings o f the National Academ y of Sciences of the United States o f Am erica 106:19651-58. Cooper, N., Jetz, W. & Freckleton, R. P. 2010. Phylogenetic com parative approaches for studying niche Evolutionary Biology 23:2529-39. conservatism. Journal of Cooper, V. S., B ennett, A. F. & Lenski, R. E. 2001. Evolution of therm al dependence of growth rate of Escherichia coli populations during 20,000 generations in a constant environm ent. Evolution 55:88996. De Bruin, A., Ibelings, B. W ., Rijkeboer, M., Brehm, M. & van Donk, E. 2004. Genetic variation in Asterionella formosa (Bacillariophyceae): Is it linked to frequent epidemics of hostspecific parasitic fungi? Journal of Phycology 40:823-30. Eaton, J. W . & Moss, B. 1966. T he estim ation of num ber and pigment content in epipelic algal populations. Limnology and Oceanography 11:584-96. Evans, K. M., W ortley, A. H. & M ann, D. G. 2007. An assessm ent of potential diatom "barcode" genes (coxi, rbcL, 18S and ITS rDNA) and their effectiveness in determ ining relationships in Sellaphora (Bacillariophyta). Protist 158:349-64. Evans, M. E. K., Sm ith, S. A., Flynn, R. S. & Donoghue, M. J. 2009. Clim ate, Niche Evolution, and Diversification of th e "Bird-Cage" Evening Prim roses ( Oenothera, Sections Anogra and Kleinia). A m erican N aturalist 173:225-40. 76 Thermal niche evolution in C ylindrotheca Filchak, K. E., Roethele, J. B. & Feder, J. L. 2000. N atural selection and sym patric divergence in the apple maggot Rhagoletis pomoriella. N ature 407:739-42. Funk, D. J. 1998. Isolating a role for n atu ral selection in spéciation: Host ad ap tatio n and sexual isolation in Neochlamisus bebbianae leaf beetles. Evolution 52:1744-59. Funk, D. J., Nosil, P. & Etges, W. J. 2006. Ecological divergence exhibits consistently positive associations w ith reproductive isolation across disparate taxa. Proceedings of the National Academ y of Sciences o f the United States o f A m erica 103:3209-13. F utuym a, D. J. 1998. Sunderland, MA, Evolutionary Biology. Sinauer Associates, G raham , C. H., Ron, S. R., Santos, J. C., Schneider, C. J. k M oritz, C. 2004. Integrating phylogenetics and environm ental niche models to explore spéciation mechanisms in dendrobatid frogs. Evolution 58:1781-93. Guillard, R. R. L. 1975. C ulture of phytoplankton for feeding marine invertebrates. In: Smith, W . L. k Chanley, M. H. [Eds.] Culture o f M arine Invertebrate Animals. Plenum , New York, pp. 29-60. Harm on, L. J., Schulte, J. A., Larson, A. k Losos, J. B. 2003. Tem po and m ode of evolutionary radiation in iguanian lizards. Science 301:961-64. Harm on, L. J., W eir, J. T ., Brock, C. D., Glor, R. E. k Challenger, W. 2008. GEIGER: investigating evolutionary radiations. Bioinform atics 24:129-31. Harvey, P. H. k Pagei, M. 1991. The comparative method in evolutionary biology. Oxford University Press, Oxford, Holt, R. D. k Gomulkiewicz, R. 1997. How does im m igration influence local adaptation? A reexam ination of a familiar paradigm. A m erican N aturalist 149:563-72. Honey will, C., Paterson, D. N. k Hagerthey, S. E. 2002. D eterm ination of m icrophytobenthic biomass using pulse-am plitude m odulated m inim um fluorescence. European Journal of Phycology 37:485-92. Ingram , T. 2011. Spéciation along a depth gradient in a m arine adaptive radiation. Proceedings of the Royal Society B-Biological Sciences 278:613-18. Jiggins, C. D., Naisbit, R. E., Coe, R. L. k Mallet, J. 2001. Reproductive isolation caused by colour p attern mimicry. Nature 411:302-05. 77 Chapter 3 K atoh, K., Kum a, K.-i., Toh, H. & M iyata, T. 2005. M A FFT version 5: im provem ent in accuracy of m ultiple sequence alignm ent. Nucleic A cids Research 33:511-18. Kembel, S. W., Cowan, P. D., Helmus, M. R., Cornwell, W . K., Morion, H., Ackerly, D. D., Blomberg, S. P. & W ebb, C. O. 2010. Picante: R tools for integrating phylogenies and ecology. Bioinform atics 26:1463-64. Knouft, J. H., Losos, J. B., Glor, R. E. & Kolbe, J. J. 2006. Phylogenetic an a p sis of the evolution of th e niche in lizards of th e Anolis sagrei group. Ecology 87:S29-S38. Kozak, K. H. &; Wiens, J. J. 2006. Does niche conservatism promote spéciation? A case study in N orth American salamanders. Evolution 60:2604-21. Li, H., Yang, G., Sun, Y., W u, S. & Zhang, X. 2007. Cylindrotheca closterium is a species complex as was evidenced by the variations of rbcL gene and SSU rDNA. Journal o f ocean university o f China (English edition) 6:167-74. Logares, R., Daugbjerg, N., Boltovskoy, A., Krem p, A., Laybourn-Parry, J. & Rengefors, K. 2008. R ecent evolutionary diversification of a p ro tist lineage. Environmental Microbiology 10:1231-43. Losos, J. B. 2008. Phylogenetic niche conservatism, phylogenetic signal and the relationship between phylogenetic relatedness and ecological sim ilarity among species. Ecology Letters 11:995-1003. Losos, J. B., Leai, M., Glor, R. E., de Queiroz, K., Hertz, P. E., Schettino, L. R., Lara, A. C., Jackm an, T . R. & Larson, A. 2003. Niche lability in the evolution of a C aribbean lizard community. N ature 424:542-45. Losos, J. B., W arheit, K. I. & Schoener, T . W. differentiation following experim ental island 1997. Adaptive colonization in A nolis lizards. Nature 387:70-73. Palum bi, S. R. 1994. Genetic divergence, reproductive isolation, and m arine spéciation. Ann. Rev. Ecol. Syst. 25:547-72. Paradis, E., Claude, J. & Strim m er, K. 2004. APE: Analyses of Phylogenetics and Evolution in R language. Bioinforma,tics 20:289-90. Pybus, O. G. & Harvey, P. H. 2000. Testing m acro-evolutionary models using incomplete molecular phylogenies. Proceedings o f the Royal Society o f London Series B-Biological Sciences 267:2267-72. 78 Thermal niche evolution in C ylindrotheca Reveil, L. J., Harmon, L. J. & Collar, D. C. 2008. Phylogenetic Signal, Evolutionary Process, and R ate. System atic Biology 57:591-601. Rice, N. H., Martinez-Meyer, E. & Peterson, A. T . 2003. Ecological niche differentiation in th e Aphelocoma jays: a phylogenetic perspective. Biological Journal o f the Linnean Society 80:369-83. R innan, R., Rousk, J., Yergeau, E., K ovalchuk, G. A. & B aath, E. 2009. T em perature adaptation of soil bacterial communities along an A ntarctic climate gradient: predicting responses to climate warm ing. Global Change Biology 15:2615-25. R onquist, F. & Huelsenbeck, J. P. 2003. M RBAYES 3: Bayesian phylogenetic 19:1572-74. inference under mixed models. Bioinform atics Rundle, H. D. & Nosil, P. 2005. Ecological spéciation. Ecology Letters 8:336-52. Sanderson, M. J. 2002. E stim ating absolute rates of molecular evolution and divergence times: a penalized likelihood approach. Molecular Biology and Evolution 19:101-09. Sorhannus, U. 2007. A nuclear-encoded sm all-subunit ribosomal RNA timescale for diatom evolution. Marine Micropaleontology 65:112. Souffreau, C., Verbruggen, H., Wolfe, A. P., Vanormelingen, P ., Siver, P. A., Cox, E. J., Mann, D. G., Van de Vijver, B., Sabbe, K. & Vyverm an, W. subm itted. A tim e-calibrated phylogeny of the diatom genus Pinnularia. multi-gene Talavera, G. & Castresana, J. 2007. Im provem ent of phylogenies after removing divergent and ambiguously aligned blocks from protein sequence alignments. System atic Biology 56:564-77. Vanelslander, B., Creach, V., Vanormelingen, P ., E rnst, A., Chepurnov, V. A., Sahan, E., M u 3 'zer, G., Stal, L. J., Vyverm an, W. & Sabbe, K. 2009. Ecological differentiation between sym patric pseudocryptic species in th e estuarine benthic diatom Navicula phyllepta (Bacillariophyceae). Journal o f Phycology 45:1278-89. Vanelslander, B., Sabbe, K. & Vyverman, W . subm itted. Densitydependent interference com petition in m arine benthic diatom communities. Vanormelingen, P ., Vyverm an, W ., De Bock, D., Van der G ucht, K. & De Meester, L. 2009. Local genetic adaptation to grazing pressure of th e green alga Desmodesmus armatus in a strongly connected pond system. Limnology and Oceanography 54:503-11. 79 Chapter 3 Verbruggen, H., Tyberghein, L., Pauly, K., Vlaeminck, C., Van Nieuwenhuyze, K., K ooistra, W ., Leliaert, F. & De Clerck, 0 . 2009. Macroecology m eets macroevolution: evolutionary niche dynamics in th e seaweed Halimeda. Global Ecology and Biogeography 18:393-405. W iens, J. J., Ackerly, D. D., Allen, A. P ., Anacker, B. L., Buckley, L. B., Cornell, H. V., Damschen, E. I., Davies, T. J., G rytnes, J. A., Harrison, S. P., Hawkins, B. A., Holt, R. D., McCain, C. M. & Stephens, P. R. 2010. Niche conservatism as an emerging principle in ecology and conservation biology. Ecology Letters 13:1310-24. W iens, J. J. & Graham , C. H. 2005. Niche conservatism: Integrating evolution, ecology, and conservation biology. Annual Review of Ecology Evolution and System atics 36:519-39. W iens, J. J., Graham , C. H , Moen, D. S., Sm ith, S. A. & Reeder, T. W. 2006. Evolutionary and ecological causes of th e latitudinal diversity gradient in hylid frogs: Treefrog trees unearth the roots of high tropical diversity. Am erican Naturalist 168:579-96. Zhan, J. & McDonald, B. A. 2011. Therm al adaptation in the fungal pathogen Mycosphaerella graminicola. Molecular Ecology:! n press. Zw art, G., Huismans, R., Van Agterveld, M. P., Van de Peer, Y., De Rijk, P ., Eenhoorn, H., Muyzer, G., Van Hannen, E. J., Gons, H. J. & Laanbroek, H. J. 1998. Divergent members of the bacterial division Verrucomicrobiales in a tem perate freshwater lake. F E M S Microbiology Ecology 25:159-69. C h a p te r 4 H y d r o d y n a m ic D is tu r b a n c e G o v e r n s D iv e r s it y a n d B io m a s s P a t t e r n s o f E stu a r in e B e n th ic D ia to m s Vanelslander B., V yverm an W ., Verleyen E. & K. Sabbe Laboratory of Protistology & A quatic Ecology, D epartm ent of Biology, Ghent University, Krijgslaan 281-S8, 9000 G hent, Belgium. Unpublished m anuscript Chapter 4 A b s tr a c t We examined the relations between hydrodynam ic disturbance, biomass, species diversity and functional group turnover in estuarine intertidal m icrophytobenthos (M PB). T o this end we analysed an extensive diatom d ata set representative of the variation in salinity, hydrodynam ic disturbance and standing stock biomass of intertidal flats of the W esterschelde estuary (The N etherlands). T otal MPB species richness displayed a unim odal relationship w ith hydrodynamic disturbance and standing stock biomass. In contrast, evenness increased w ith increasing hydrodynam ic disturbance and decreasing biomass. Changes in diversity reflected a strong turnover in functional group com position along the biomass and hydrodynam ic disturbance gradients, and were visible at different hierarchical levels of functional group classification. Maximal functional diversity was observed a t interm ediate levels of habitat disturbance. 82 Diversity - disturbance in benthic diatoms I n t r o d u c t io n How species diversity and coexistence change along environm ental gradients has been a long-standing question in ecology. One of the m ost influential hypotheses accounting for spatial variation in diversity invokes disturbance (Grime, 1973, Connell, 1978). T he effect of disturbance on diversity, formalized in the Interm ediate Disturbance Hypothesis (IDH, Grime, 1973, Connell, 1978), predicts th a t interm ediate disturbance promotes maxim al diversity. T he basic idea behind the IDH is th a t exposure to low disturbance results in com petitive species excluding inferior com petitors resulting in low diversity. Increasing disturbance will diminish com petition intensity by killing or removing cells and m aking space available for settling of inferior competitors resulting in th e coexistence of com petitive and disturbance tolerant species leading to higher species richness. W ith further increasing disturbance, com petitive species become unable to cope w ith disturbance and only disturbance resistant species remain. Many empirical studies confirmed this hypothesis (Sousa, 1979, Molino & Sabatier, 2001, Svensson et a l, 2007), though there rem ains considerable debate about th e im portance of com petition along disturbance gradients (Violle et al., 2010) and the necessity of patchiness in disturbance events (Roxburgh et al., 2004). Reviews by Mackey & Currie (2001) and Hughes et al. (2007) revealed th a t in less th a n 25 % of the studies on disturbance - species richness (SR) relations a unimodal relation was dem onstrated while only % of studies provided evidence for such a relationship when evenness was used as a m easure of diversity (Mackey & Currie, 2001). One reason why so m any observations are inconsistent w ith the IDH is th a t this 11 hypothesis relies on a num ber of assum ptions/prerequisites, which are seldom accounted for, including the occurrence of com petitive exclusion, the need of a large regional species pool, a. trade-off between competitive and disturbance resistance related traits and the occurrence of multiple succession stages (Svensson et al., 2007). In ad d ition to disturbance, productivity (PR) - or its often used surrogate stan d ing stock biomass (M ittelbach et a l, 2001, Irigoien et al, 2004) - is an o ther main driver of diversity patterns. M any studies have explored th e shape of this relation and also often found unim odal or “hum p-shaped” relations, especially in plant communities (Grime, 1973, M ittelbach et al., 2001). However, biomass can be a ver}' poor surrogate for productivity (W hittaker, 2010). This notion is im portant, as SR-PR 83 Chapter 4 studies focus on productivity because it can be used as a proxy for limiting resource supply rate. Ecological theories predict th a t species richness should be driven by the supply rate (species-energy theory, W right, 1983) and the relative ratios of limiting resources (resource ratio theory, Tilm an, 1977) th a t regulate the num ber of com peting species th a t can locally coexist (Gross & Cardinale, 2007, C ardinale et al., 2009). Based on hum ped biomass diversity relations, Grime (1973) developed his classical com petitive exclusion theory as an explanation for these unimodal relationships. He stated th a t m axim al diversity a t interm ediate biomass values was due to the coexistence of species belonging to different p lan t strategies. Com munities w ith high biomass are species poor because they are dom inated by com petitive species and low biomass com m unities are again species poor because they lack the competitive species. M ittelbach (2001) pointed to the fact th a t our knowledge of species richness - biomass and productivity relationships is m ainly based on particular taxonom ic groups (vascular plants, mammals, aquatic invertebrates) and therefore may be biased. Since 2001, several studies investigating th e SR-PR. relation focused on other taxonom ic groups, but aquatic microbial communities for instance are still underrepresented (but see Li, 2002, Horner-Devine et al., 2003, Irigoien et al., 2004, C ardinale et a l, 2006). In this paper, we examine the relationships between the hydrodynam ic disturbance, biomass an d species diversity in estuarine intertidal m icrophytobenthos (M PB). M PB plays an im portant role in th e ecology of estuarine systems. They provide up to 50% of the prim ary production (Underwood & Krom kamp, 1999), contribute to sediment stabilization through the production of extracellular polymer secretions (Decho, 2000) and influence nutrient fluxes between sedim ent and water (Sundbäck et a l, 2000). In our stud}r area, the W esterschelde estuary, M PB is largely made up of benthic diatom s. E stuarine M PB communities are subject to strong species sorting effects due to th e structuring of com m unities by salinity, light exposure and hydrodynam ic forces (Admiraal, 1984, Sabbe & Vyverm an, 1991, Underwood, 1994, Paterson Sz Hagerthey, 2001). Dispersal is high due to erosion/sedim entation dynamics and by im port of propagules from upstream and from the sea. There is a large gradient in salinity spanning more th a n 60 km. A second im portant gradient is the degree of hydrodynam ic disturbance. Intertidal areas experience strong wave action Diversitj’ - disturbance in benthic diatoms th a t carries away fine sedim ent particles and leave coarser, well sorted sand, while finer sediment like silt and clay particles are deposited in more sheltered areas (Oh <k Koh, 199-5). T he degree in wave action thus produces a continuous gradient in sedim ent grain size which strongly influences other environm ental factors such as w ater content (Paterson et al., 2000) and nutrient concentrations (Paterson & Hagerthey, 2001). At the microscale, there are steep gradients in nutrients, light and oxygen (Adm iraal, 1984, Paterson & Hagerthey, 2001). All these gradients result in a very heterogeneous intertidal environm ent a t various spatial and tem poral scales. This heterogeneity creates various different niches for estuarine benthic diatoms. Benthic diatom diversity in estuaries is therefore high, not only from a taxonom ic point of view (> 2 0 0 species commonly present in the W esterschelde estuary) b u t also from a functional point of view. Benthic diatom s can be classified in three large functional groups, namely th e motile epipelic diatom s, th e sand grainattached epipsammon and tychoplankton (Admiraal, 1984). In the past, species diversity and distribution p attern s have m ainly been assessed for epipelic assemblages (Underwood, 1994). We explored this relationship using a large dataset comprising m onthly sam pling of 32 stations in th e W esterschelde estuary during one year (>360 samples) covering a wide range of hydrodynam ic disturbance, salinity and MPB biomass. O ur m ain questions were: 1) w hat is the relationship between hydrodynam ic disturbance and diatom species richness and evenness; 2 ) w hat is the relation between diatom diversity and diatom biomass; and 3) how do the different functional groups respond tow ards disturbance and biomass gradients? M a t e r ia l a n d M e t h o d s S tu d y s ite T h e W esterschelde is th e meso- to euhaline p a rt of the Schelde estuary (B elgium /T he Netherlands). It is a m acrotidal coastal plain estuary subject to considerable organic pollution and eutrophication. The W esterschelde is well mixed and characterized by a complex morphology w ith tidal channels surrounding several large intertidal flats and salt m arshes. Residence time of the w ater in the W esterschelde estuary ranges 85 Chapter 4 from one to three m onths (depending on the season) resulting in a rather stable and gradual salinity gradient (ranging from 3 to 32 psu in the Westerschelde) th a t is prim arily determ ined by th e m agnitude of the river discharge and to a lesser extent to the tidal oscillation, which is of smaller am plitude (Meire et al.7 2005). S a m p lin g c a m p a ig n T hirty-tw o sampling stations (F ig.l) were sam pled m onthly during one year (Oct. 1991-Oct. 1992). Eu-, poly- and mesohaline stations were selected in order to cover the entire range in salinity and sedim ent types in the W esterschelde estuary. Sedim ent cores (diam eter 22mm) from the upper 1 cm of the sedim ent were taken a t low tide and fixed w ith 4% formalin. Five cores from each locality (within lm 2) were combined to com pensate for microscale differences in diatom composition and abundance. P o lyhaline E uhaline M outh M p4 M p3 M p2 M pl Mp6 M p5 M esohaline N b3 N b1 Snl Sn2 A z3 A zi H p4 H p3 H p2 H p1 P s3 P s2 Ps1 T e3 T e2 T el Ph3 Ph2 Phi B h3 B h2 Bh 1 K s2 K sl 5 km F ig u r e 1 . M a p o f t h e W e s t e r s c h e l d e e s t u a r y s h o w i n g t h e p o si t i o n o f t h e s a l in i t y z o n e s ( M c L u s k y , 1 9 9 3 ) a n d t h e l o c a t i o n o f t h e s a m p l i n g s t a t i o n s . I n te rtid a l a r e a s below m e a n high w a t e r a r e s h o w n in l i g h t grey , in t e r ti d a l a n d s u p r a - t i d a l a r e a s a b o v e m e a n h ig h w a t e r ( p r e d o m i n a n t l y s a l t m a r s h e s ) in d a r k grey . Az: A p p e l z a k , Bh: B a a lh o e k , Hp: H o o g e p l a t e n , Ks: K o n i j n e n s c h o r , M p : M o l e n p l a a t , P laten van T ern eu zen . H ulst, Ps:P aulinaschor, Ra : Nb: Ram m ekenshoek, N a u w v a n B a t h , Ph: Sn: S taartse Nol, Te: Diversity - disturbance in benthic diatoms S p ecies c o m p o s itio n a n d d iv e r s ity P a rt of the homogenized, combined samples was oven-dried a t 60 °C. One gram sedim ent dry weight (SDW) of each sample was then oxidized with hydrogen peroxide (27 %) and acetic acid (99 %) (Sabbe, 1993). The sediment was th en washed 3 to 4 tim es with distilled w ater and diluted to a final volume of 50 ml. A fter thorough homogenization a subsam ple of 50 pi was taken w ith a m icropipette, transferred to a coverslip and airdried. P erm anent preparations were made w ith N aphrax m ounting medium. On each coverslip all diatom valves in a transect of known surface area were identified and counted. Allochtonous species (planktonic and freshwater) were om itted from the analyses. Cell counts of 400 cells per sample can not adequately estim ate the occurrence of rare species (Alverson et al., 2003), therefore we also om itted species which occurred less th an three times in th e dataset. The original dataset contained 294 tax a and after omission of these species it contained 193 species. The counted surface wms then extrapolated to the whole surface of th e dried drop, th u s allowing us to determ ine the total num ber of diatom s in one gram SDW. For each slide a minimum area of 5000 by 100 pm was counted. Counts were continued beyond this m inimum area until a t least 400 valves were counted. In some samples, diatom densities were very low; a m axim um of ten transects of 5000 by 100 pm was then scanned for­ di atoms. W e assigned species to functional groups based on the following traits: cell-size and shape, hold-fast mechanisms and m otility. These traits are all valuable for characterizing functional traits in benthic inicroalgae. Cell size determ ines specific physiological activities such as grow th (Weithoff, 2003). Furtherm ore, cell-size and shape jointly determ ine the surface to volume ratio which in tu rn influences nutrient uptake. Hold-fast mechanisms evidently determ ine to which extent cells are able to cope with hydrodynam ic disturbance. M otility is undeniably an im portant tra it in in tertidal m udflats as these environm ents are characterized by steep gradients in light and nutrients and enables cells to position themselves in favorable patches. Inhibiting and limiting light conditions are often only a few hundred pm away from each other. Moreover, n utrients such as silica can become limiting in the upper part of the sedim ent when production is high (Jesus et al., 2009). It has recently been shown th a t epipelic diatom s display the ability to sense 87 Chapter 4 silica concentration gradients and m igrate to favourable patches (Gillard et al. unpublished). Based on these groups we classified benthic diatom species into the motile epipelic diatom s, the sand grain-attached epipsamm on and tychoplankton, functional groups which are well established in m icrophytobenthos research (Paterson & Hagerthey, 2001). W ithin the epipsammon, we further distinguished between adnate, stalked and small (<10pm ) motile species (Hamels et a l, 1998). T he epipelon was divided into small-celled ( 1 0 - 2 0 pm) and big-celled ( > 2 0 pm) diatom s (fig. 2 ) will explore if these autccological traits are able to predict th e effect of disturbance on functional group species richness. Cell biovolumes of each taxon was calculated using linear dimensions (length, w idth and height) and a standardized set of equations for biovolume calculations for the different diatom genera (Hillebrand et al., 1999). T he to tal biovolume per sample was calculated based on the cell densities and the m ean biovolume for each diatom species. W hile the oxidation m ethod ensures th a t all diatom cells are quantitatively separated from the sediment and also allows accurate identification, it does not allow to distinguish between dead and living cells, which could lead to an overestim ation of th e to tal diatom biomass. W e therefore estim ated the relative proportion of living cells in the different functional groups in about 30 fixed samples stained w ith Bengal Rose, which allowed us to distinguish between em pty frustules and those w ith a cell content (the latter were referred to as living diatom s) (Hamels et al., 1998). These countings dem onstrated th a t the oxidized counts do supply realistic estim ations of the absolute biomass values since th e ratios of the living to dead cells of the epipelon closely follow trends in cell abundance (Hamels et a l, 1998). On average, th e living:dead ratio was relatively stable, between 40 to t 60% of the cells was alive. Using these living/dead ratios, the original quantitative counts on th e perm anent preparations were then corrected to yield the total num ber of living diatom s per gram SDW. Diversity - disturbance in benthic diatoms P la n k to n T y c h o p la n k to n M o tile M o tile 2 0|im M o tile A d n a te F ig u r e 2. T h e differen t fu n ctio n al g r o u p s o f d i a t o m s t h a t o c c u r s in t h e S c h e l d t estu ary . T h e ep ip s a m m o n (co m p risin g t h e stalked, a d n a te a n d m otile < 1 0 p m groups), w hich is t h e s m a l l e s t g r o u p s , can grow attac h ed to in d iv id u al s a n d g r a i n s . T h e e p i p e l o n ( c o m p r i s i n g t h e m o t i l e 1 0 - 2 0 p m a n d t h e > 2 0 p m g r o u p s ) c o n s i s t s o f larger, m o t i l e d i a t o m s t h a t f o rm d e n s e biofilm s. T h e t y c h o p l a n k t o n h a s a m o r e a m p h i b i o u s life style. G r a n u lo m e tric a n a ly s is Granulom etric analyses of the sediment (top 1 cm) were performed every two m onths a t each station; for the intervening sampling m onths, values were obtained by linear extrapolation. Size analysis was performed w ith a Coulter C ounter (LS100, Coulter Electronics, UK). By adopting a grade scale (the W entw orth scale, B uchanan & Kain, 1971), we then assessed w hat sedim ent volume percentage was present in each size class. T he following particle size classes were distinguished: clay (< 3.9 pm), silt (3.9 -63 pm ), very fine sand (63-125 pm ), fine sand (125-250 pm ), m edium sand (250 pm-500 pm) and coarse sand (500 pm- 1000 pm). 89 Chapter 4 It is well known th a t hydrodynam ic disturbance strongly determines the sediment composition of intertidal sedim ents (Oh & Koh, 1995). We therefore conducted a principal com ponent analysis (PCA) based on the standardized abundances of the particle size classes and m edian grain size and used the first principal com ponent axis sample scores as a proxy for hydrodynamic disturbance of the sediment (Van Colen et al., 2010) . The first axis explained 64.1% of the variation in granulom etry and was strongly correlated w ith th e silt fraction (r=0.963, pCO.OOl). S ta tis tic a l an a ly sis W e calculated both species richness and Pielou’s evenness index (based on cell abundance) for each of the 360 samples. Trends in to tal species richness, functional group species richness and to ta l evenness along log transform ed biomass and hydrodynam ic disturbance were explored using linear and quadratic regressions for which we checked the homogeneity and homoscedasticity. We used the Akaike inform ation criterion (AIC) to select the m ost reliable model. If the quadratic regression was selected, we used the Mitchell-Olds and Shaw (MOS) test (M itchell-Olds & Shaw, 1987) to determ ine w hether there was a significantly unimodal (or so called ‘hum ped’) shape and to estim ate the peak of the unimodal curve. W e further verified if the estim ated peak diversity is significantly greater th an the diversity at th e m inim um biom ass/disturbance and less th an the diversity at th e observed m axim um biom ass/disturbance, i.e. if the m axim um richness is reached w ithin the observed range of biom ass/disturbance. T he MOS test is a classical m ethod to look for hum p-shaped species richness p attern s (M ittelbach et al., 2001, Chase & Leibold, 2002) and was conducted using the VEGAN package in R (Oksanen et ah, 2008). Salinity gradients in estuaries strongly affect diatom species distributions and richness (Sabbe &; Vyverman, 1991). As our sampling campaign covered a broad range of salinities (between 8.5 and 35 psu for the interstitial w ater), we tested for the effect of salinity on species richness. As we found a weak b u t significant trend in species richness along the salinity gradient (supplem entary table 3, to tal species richness = 41.30 + 0.22 X salinity, F = 11.44, P = 0.0007, R 2 = 0.028), we recalculated the above regressions between diversity and biom ass/disturbance, b u t now using the residual species richness after accounting for the salinity trend (Cardinale et a l, 2006). 90 Diversity - disturbance in benthic diatoms B eta diversity was quantified using the B ray-C urtis dissimilarity index (based on standardized quantitative abundance data) and the Jaccard’s index (based on presence/absence data). W e compared th e diversity in samples from different silt content classes (0-1%, 1-5%, 5-10%, 10-20%, 20-40%, >40% silt) using Analysis Of Sim ilarity (ANOSIM, (Clarke, 1993), implemented in the software package P R IM E R 6 (Clarke & Gorley, 2006) based on the B ray-Curtis and on the Jaccard index. ANOSIM produces a test statistic R which lies between 0 and 1 depending on th e sim ilarities between groups. An R value of 1 indicates maxim al dissimilarity, while 0 stands for full similarity. C ontrasting q u antitative and qualitative m etrics enables one to assess w hether dissimilarities between groups are m ainly due to compositional change or change in relative abundances (Schaefer et a l, 2005). R e s u lt s D iv e r s ity a lo n g a d is tu r b a n c e g r a d ie n t Total diatom species richness showed a significant quadratic relation with hydrodynam ic disturbance (Table 1, Fig. 3A) and the MOS test indicates th a t the relation is hum p-shaped. Samples from stations associated with low and high disturbance displayed low diversity, while samples from interm ediately disturbed stations had the highest diversity. T he Pielou’s evenness index (Fig. 5A) showed a significant negative correlation with increasing hydrodynam ic disturbance (Spearman R ank R = - 0.636 , P — 0 . 0001 ) . T he species richness of the epipsammon showed a significant linearly b u t not unim odally decreasing relation w ith decreasing hydrodynam ic disturbance (Table 1, Fig. 3A). T he species richness of the epipelic and tychoplanktonic functional groups displayed a significant quadratic relation with hydrodynam ic disturbance (Table 1, Fig. 3A). T he MOS test showed th a t both relations were unim odal and th a t the estim ated peak richness of both groups was located w ithin the observed range of disturbance values and is expected a t 0.419 disturbance and 91 Chapter 4 1.559 (PC A axis 1 values) disturbance for the epipelon and tychoplankton respectively. Species richness of the adnate epipsammic diatom s linearly decreased w ith decreasing hydrodynam ic disturbance (Table 1, Fig. 3C). T he small motile (<10 p m ) epipsammic diatom s showed a quadratic relation w ith hydrodynam ic disturbance (Table 1, Fig. 3C). T he MOS test indicated th a t the relation was unim odal, b u t the estim ated peak diversity was not significantly greater th an the diversity a t the maximal hydrodynam ic disturbance. T he stalked epipsammic diatom s showed a quadratic (Table 1, Fig. 3A), unim odal (MOS test) relation with disturbance w ith estim ated peak diversity a t -1.075. T he epipelic diatoms between 1 0 and 2 0 p m significantly decreased along decreasing hydrodynam ic disturbance (Table 1, Fig. 3A). For the epipelic diatom s > 20 p m species richness, a linear regression was not possible as the assum ption of hom oscedasticitv was not fulfilled. Therefore we used a non param etric Spearm an rank correlation and found a positive correlation between decreasing disturbance and species richness of m otile diatom s > 20 p m (R=0.2373; p=0.000005). 92 Diversity - disturbance in benthic diatoms . T o ta l ty ch e » e p ip s a m * e p ip e l o n T o ta l ty c h o e p ip s a m e p ip e l o n 1 H y d ro d y n a m ic d is tu rb a n c e !0 to o 1OO0 B i o v o l u m o ( p m '1 x 10J i / m 2 ) 20 â– M o tile < 1 0 p m • A d n a te . S t.i l k e d 18 16 14 12 10 6 4 7 0 1.0 0 1.0 2.0 10 H y d r o d y n a m ic d is tu rb a n c e 20 • M o t il e > 2 0 p m • M o t il e I O - » p m 18 ) M o t il e > 2 0 p m M o t il e 10-20 p m lo 1614 14 xr ; 10 ÿ 100 B io v o lu m e t p m - x 1 0 : / m a I 12 * 1 «0 s -6 •" â– 1 • 2 - 0-1 • 2 .0 0 10 1.0 H y d ro d y n a m ic d is tu r b a n c e 100 f iio v o ltim e ( p m luoo x 10 !- / m ! ) F ig u r e 3 . S p e c i e s r i c h n e s s ( S R ) a l o n g d i s t u r b a n c e a n d t o t a l b i o m a s s g r a d i e n t s . (A- B): T o t a l S R , t y c h o p l a n k t o n i c , e p i p s a m m i c a n d ep ip elic S R a l o n g t h e d i s t u r b a n c e (A) and b io m ass ( B ) g ra d ie n t (low est d istu r b a n c e v a lu e = m a x i m a l d i s t u r b a n c e ) . O n ly s i g n i f i c a n t r e g r e s s i o n s a r e p l o t t e d . U p p e r b l a c k line: r e g re ssio n for t o t a l SR, d a s h e d b l a c k line: e p i p s a m m i c SR, g r e y line: t y c h o p l a n k t o n S R , lo w er b lack line: ep ip elic SR. (C -D ): SR o f 3 epipsam m ic gro w th m o r p h o lo g i e s (adnate, < 10pm m otile and s t a l k e d ) a l o n g d i s t u r b a n c e ( C ) a n d b i o m a s s ( D ) g r a d i e n t . B lac k line: reg re ssio n for m o t i l e < 10 p m S R , g r e y line: a d n a t e SR, d a s h e d b l a c k line: s t a l k e d d i a t o m S R . ( E F ): S R o f 2 ep ip elic g r o w t h m o r p h o lo g i e s ( m o ti l e 1 0 - 2 0 p m a n d m o t i l e > 20pm) a l o n g t h e d i s t u r b a n c e ( E ) a n d b i o m a s s ( F ) g r a d i e n t . R e g re s s i o n e q u a t i o n s a r e giv en in T a b l e s 1 a n d 2. 93 Chapter 4 1 . R e g re s sio n T a b le hydrodynam ic e q u a t i o n s f o r t o t a l a n d f u n c t i o n a l g r o u p s p e c i e s ric h n e s s vs. d isturbance (lin ear: Y =a+bX or Q uadratic: Y= a+ bX + cX 2). R e g r e s s i o n s a r e s h o w n in Fig. 3. S i g n i fi c a n c e c o d e s : 'N . S . ' P > 0 . 0 5 ; ‘* ’ : 0 . 0 1 < P < 0 . 0 5 ; '* * ': 0 .0 1 < C r i t e r io n . N.A. P < 0 . 0 0 1 ; ' * * * ’: P < 0 .0 0 1 . AIC: A k a i k e ’s in f o rm a t i o n n o t ap p licab le. S E : S t a n d a r d E rror. T h e AIC v a l u e f o r t h e m o s t r e lia b le m o d e l is s h o w n in bold. 0 •--i r“' — Cl ’'t d d Ci d Cl r~i O 00 o Cl <—* Cl d c —*• .c 1- 3 0 O zr : c. s M 3 d d i- r. ; 3 â– 1 O r— < 5 d d d Cl f 3 »T d 3 — t* _ â– e i— * oT—1 % r— « 1 ’—< Cl ci Cl ci Cl ci Cl ci V V 1'iQ H ‘À *} il 9 6 94 ü / Cl Ci -H ¡2 co d to r-4 3 _ X r— CM * H X 'X ii S T -B -H cm ci -H -H â– X X to O t-.’ r— < CO »—I 30 tCl t> rH 70 d ƒ>‘3 TT ~ f Cl i î—1 d f— » — h Cl ci Cl ci V Cl ci V Cl c1 f-. £ o 0 ce 3 x rp Y d . V * 3 CM x — r“: M -H X X. 3 -y X X 3 T X X -H 3 9 -H -H -H -H -H il ü +i ü -H -H -H rj —i i- r»' Cl Cl +i «M rH t** d o co «—« _ t— i >—1 d »—• ; 3 •—1 Cl ci r— i Cl V '— i d T—« y. » 5 T O y i) -M X X — o _ ü d -/ ° s . â–º r — *1 S'¡ -6 X £ d *—’ ZTi # : d -H S? o cr. x. ce I—* 00 LO t—1 Cl X X 9 •H B -, _ -H ii . Ü Diversity - disturbance in benthic diatoms T a b l e 2. T h e reg re ssio n e q u a t i o n s for t h e t o t a l s p e c i e s ric h n e s s a n d f u n c t i o n a l g r o u p s p e c i e s ric h n e s s vs. t o t a l s t a n d i n g b i o v o l u m e s t o c k (lin e ar: Y = a + b X o r Q u a d r a t i c : Y = a + b X + c X 2). R e g re s s io n s a r e s h o w n in Fig. 3. S i g n i fi c a n c e c o d e s : ‘N . S . ' P > 0.05 ; : 0 .0 1 < P < 0.05 ; 0.01 < A k a i k e ’s i n f o r m a t i o n C riterio n . N.A. P < 0 . 0 0 1 ; ' * * * ’: P < 0 .0 0 1 . AIC: n o t a p p lic a b le . SE: S t a n d a r d E rro r. T h e AIC v a l u e f o r t h e m o s t reliable m o d e l is s h o w n in bold. / x Çf z s r_, -i § CD 2 —< § 3 t? ~ <33 ;- cm tr i CM CM CM oi tí V V V V y 7 -< y S 7 cr. CM CM Tl T» CM T¡ d 5 CM V V V V — cr s 9 ^ y "7 y’ TI "T y ‘2 *7 *â– * i */* y V 5 • * y Ï * 1- S 2 TI 2 < y » * t- 1- +i -H -H * 3 '3 5 -H ë / S -H •X CM -H d -H 7 / 7 TI TÍ -H C1 'Ó í'- -H “H o *7 CM ñX t j â– H Is¡2 •7 •ü CT 7* » -f Ur T¡ X Ï 5 y* 2 TÍ 4j -H o / Tí TÍ T¡ -H -H ¡7 7 y 7 y s. o TÍ ,“ 1 >{ 41 5 ë / Tí -T ; i 2 9 —H — -H -H 2 7 w 3 d >—• - 1 ¡ 5 *7 7 H w —i •H U r—< 2 i- J • X 3 2 -j -H "H -H 2 TÍ ci y TC —i 7 c« 7 X y, TI M 17 fi / TI 4?. 3 n 2 ‘7 7 H 2. i 5. H '2 UJ X. TI TI r vi -i •9 r 3 i- ¿ f d 95 Chapter 4 T h e hydrodynamic disturbance is also strongly related to total diatom biomass (biomass = 0.498*disturbance + 4.755, R 2=0.654, P = 2.2 . IO'16) (Fig. 4). The strong collinearity between biomass and disturbance makes it impossible to discern th e relative im portance of both on species richness using a multiple regression. 1000 o - 100 X £ n. â– ~U £ â– 10 o> m - 2 .0 0 1 .0 2.0 10 Hydrodynamic d i s t u r b a n c e F ig u r e 4. R e la ti o n betw een biom ass and hydrodynam ic disturbance. (Lowest d istu r b a n c e value = m axim al d istu rb a n c e ). D iv e r s ity a lo n g a b io m a ss g r a d ie n t T o tal diatom species richness showed a significant quadratic relation with to tal cell biovolume (used as a proxy for biomass) (Table 2, Fig. 3B). The MOS test revealed th a t the relation is unimodal and hum p-shaped with th e estim ated peak diversity w ithin the observed biomass ranges (estim ated a t 23.70 . IO' 2 pin 3 bio volum e/m 2). Pielou’s evenness (Fig. 5B) showed a negative correlation w ith increasing biomass (Spearm an R ank R = -0.542 , P = 0.00000). A A •* -1.0 o 1.0 H y d ro d y n a m ic d is tu r b a n c e * * , 10 E io v o lu n v I p m 100 » I O 1’- ' / m - ) F ig u r e 5 . P i l o u 's e v e n n e s s a l o n g t h e d i s t u r b a n c e a n d b i o m a s s g r a d i e n t . 96 * Diversity - disturbance in benthic diatoms T he species richness of th e epipsammic and epipelic functional groups also displayed a significant unim odal, hum ped-shaped relation w ith biomass (Table 2, Fig. 3B). T he estim ated peak epipelic diversity (using the MOS test) was located w ithin the observed range of biomass values and is expected a t 59.53 . IO12 pm 3 biovolum e/m 2. The estim ated peak epipsammic diversity was also within the observed range of biomass values, but it was not significantly greater th a n the epipsammic diversity at the m inim al observed biomass. T he species richness of the tychoplankton showed a significant linear positive relation w ith increasing biomass. T hus th e different functional groups show peak diversity at distinct biomass values. T he species richness of the three different epipsammic growth forms all had a significant unimodal, hum ped-shaped relation with biomass (Table 2, Fig. 3D). The estim ated peak adnate diversity was located a t lower th an observed biomass values (0.51. IO12 pm 3 biovolum e/m 2), while th e small motile and stalked diatom s showed peak diversities a t 5.69 . IO12 pm :i biovolum e/m 2 (1.30 . IO12 pm 3 biovolum e/m 2 - 10.4 . IO12 pm 3 biovolum e/m 2, 95% confidence interval) and 14.21 . IO12 pm 3 biovolum e/m 2 (4.14 . IO12 pm 3 biovolum e/m 2 - 23.4 . IO12 pm 3 biovolum e/m 2, 95% confidence interval) respectively. The epipelic diatom s between 1 0 and 2 0 pm showed a unimodal, hum ped-shaped relation w ith biomass (Table 2, Fig. 3F). T he estim ated peak diversity was estim ated a t 2.97 . IO12 pm 3 biovolum e/m 2 (no confidence interval could be determ ined). For the epipelic diatom s > 20pm species richness, a linear regression was again not possible as the assum ption of homoscedasticity was not fulfilled. W e performed a non param etric Spearman rank correlation and found a positive correlation between increasing biomass and species richness of motile diatom s > 2 0 pm (Spearm an R 0.1815 p = 0 .00053). So again the different growth morphologies show peak diversity a t different biomass values. We repeated th e above described regressions for disturbance and biomass using th e residual species richness after accounting for the salinity tren d and found largely the same results (supplem entary table 1 and 2 ). S p ecies tu r n o v e r Analysis of Sim ilarity (ANOSI3VI) based on quantitative and qualitative species d ata was used to assess differences in species composition and 97 Chapter 4 species turnover along the disturbance gradient (Tables 3 and 4). As siltcontent of sedim ent samples is strongly related to th e hydrodynamic disturbance proxy used during this study (logsilt = 0.534*disturbance + 1.02, R2=0.912, P = 2.2 . IO'12), we classified the sam pling stations in different silt classes and then analyzed their sim ilarity. T he most disturbed sam pling stations w ith a silt content between 0 and 1 % had a very specific species composition which showed relatively low sim ilarity with the 1-5% silt class and almost no sim ilarity w ith th e least disturbed sites (20 % silt or more) (Table 3 and 4). The sam pling stations w ith silt content > 1 0 % showed high sim ilarity in species composition. C ontrasting the quantitative (ANOSIM based on the B ray-C urtis index, Table 4) and qualitative (ANOSIM based on the Jaccard index, Table 3) m etrics showed th a t both compositional change and change in relative abundances occurred. For instance, the sampling stations w ith 1-5% silt content and w ith a 10-20% silt showed a R value of 0.39 based on qualitative d ata, but a R value of 0.598 based on qualitative data, showing th e im portance of changes in relative abundances. Overall, the strongest turnover in species occurred a t low silt content ( 0 - 1 0 % silt), but species turnover continued also a t higher silt content. T a b l e 3. O n e - w a y a n a ly s is o f sim ilarities ( A N O S I M ) u sin g t h e J a c c a r d d iss im ila rity in d ex based on p resence/absence data of sp e c ie s alo n g different silt content p e r c e n t a g e cl a s s e s . V a l u e s g iv en a r e t h e R s t a t i s t i c a n d t h e p r o b a b i l i t y level ( P ) . 0-1 90 silt 1- 5 % silt 5-10 % silt 10-20 % silt 20-40 % silt 0 - 1 % silt 1 - 5 % silt 0.523 (0.001) 5 - 10 % silt 0.733 (0.001) 0.288 (0.001) 10 - 20 % silt 0.811 (0.001) 0.390 (0.001) 0.084 (0.003) 20 - 40 % silt 0 .945 (0.001) 0.673 (0.001) 0 .286 (0.001) 0.124 (0.0 0 1 ) > 40 % silt 0.999 (0.001) 0.946 (0.001) 0 .615 (0.001) 0 .2 7 8 (0.003) T a b le 4. O n e - w a y an a l y s is of si m ilarities ( A N O S I M ) u s i n g t h e 0.008 (0.418) B r a y - C u r t i s in d ex b a s e d o n s t a n d a r d i z e d s p e c i e s a b u n d a n c e d a t a a l o n g d i f f e r e n t silt c o n t e n t p e r c e n t a g e classes. V a l u e s giv en a r e t h e R s t a t i s t i c a n d t h e p r o b a b i l it y level ( P ) . 0 -1 % s ilt 1- 5 % s ilt 5 -1 0 % s i l t 1 0 -2 0 % s i l t 2 0 -4 0 % s i l t 0 - 1 % s ilt 1 - 5 % s ilt 0 .6 6 8 (0 .0 0 1 ) 5 - 10 % s i l t 0 .6 9 9 (0 .0 0 1 ) 0 .3 7 1 (0 .0 0 1 ) 10 - 2 0 % s ilt 0 .8 3 8 (0 .0 0 1 ) 0 .5 9 7 (0 .0 0 1 ) 0 .1 7 8 ( 0 .0 0 3 ) 2 0 - 4 0 % s ilt 0 .9 5 8 (0 .0 0 1 ) 0 .8 1 2 (0 .0 0 1 ) 0 .4 0 7 ( 0 .0 0 1 ) 0 .0 7 3 ( 0 .0 0 1 ) > 4 0 % s ilt 1 .0 0 0 (0 .0 0 1 ) 0 .9 7 5 (0 .0 0 1 ) 0 .4 7 3 ( 0 .0 0 1 ) 0 .0 1 0 (0 .4 1 2 ) 98 - 0 .0 8 9 (0 .8 4 8 ) Diversity - disturbance in benthic diatoms D ia to m cell size Differences in species richness, functional groups and species composition along the biomass and disturbance gradients coincided with changes in average cell size and cell size distribution within samples. T here w~as a significant increase in average cell size w ith increasing biomass values (Spearm an R ank R = 0.502, P = 0.0000 ; Fig. 6 B) and a significant increase in average cell size w ith decreasing hydrodynam ic disturbance (Spearm an R ank R = 0.496, P = 0.0000 , Fig. 6 A). T h e m ost disturbed sampling sites with silt content between 0 and 1 % were dom inated by very small diatom s (< 1 0 0 pm 3 cell biovolume) (Fig. 7). Sampling sites w ith 1 - 5 % silt also had a significant portion of the smallest diatom s ( < 1 0 0 pm 3), b u t also a second group of diatom s w ith cell biovolumes between 100 and 240pm3. A further increase in silt content and thus lower disturbance resulted in a gradual decrease of the < 1 0 0 pm 3. 10000 s A IOC-0 1000 i # 100 100 - 1 .0 ?0 1 H y d r o d y n a m ic d is iu r b a n c e 10 8 ¡o v o lu ir o i p m » x 1 0 '-’ / n v ) F ig u r e 6 . A A v e r a g e cell b i o v o l u m e v e r su s t o t a l b i o m a s s . B: A v e r a g e cell b i o v o l u m e versus d is tu r b a n c e (low est value = m axim al d istu rb an ce) 99 Chapter 4 0 .7 0.6 , Jo., 0 ° 0 1 o C 0 .3 0 .4 0 .3 01 0.2 0.2 0.1 -r fi- . rFí o o f i , B jj § 0 • 2 0 °i> Silt on. 1 3R 4 0 0 -5 5 0 1 0 0 -2 4 0 2 4 0 -4 0 0 <50 6 0 -1 0 0 lí 0 - 4 0 % Silt 0 7 â– a 0.5 â– fi 0.3 o n 02 ,¿ , Æ . .ffi o rü S ffi 3 O O B 8 8 7 ° ? ™ 3 O 8 8 A 0.7 05 0.6 0 5 os 04 0.4 0.3 OJ 0.2 0.2 [ o * 3 o 5 ó C o S ó O ^ _ i § ... r k (Ti f i S o o o o o * 8 o S S o ó 7 5 ^ O - 04 t O * O 8 O a A 8 ° 3 > 4 0 “a s m ñ o * ffi o i f ) , rfi ñ m 8 S § 8 8 ! I S S A , S c S ó tO S c C M M ¡¡j O Diatom cell b i o v o lu m e classes (pim3) F ig u r e 7 . A v e r a g e f r e q u e n c y o f d i a t o m cell b i o v o l u m e - c la s s d i s t r i b u t i o n a l o n g d i f f e r e n t silt c o n t e n t s . E r r o r b a r s a r e s t a n d a r d d e v i a t i o n s . D is c u s s io n Species richness in intertidal m icrophytobenthic diatom communities of the W esterschelde estuary shows a significant hum p-shaped relation with disturbance (Table 2), which is in agreem ent with the interm ediate disturbance hypothesis (IDH, Grime, 1973, Connell, 1978). As most studies to date have been focused on epipelic communities of the less disturbed, silt rich intertidal sedim ents, it was not known whether in tertid al m icrophytobenthos would respond to th e IDH, although (Paterson & Hagerthey, 2001) hypothesized th a t it would. T he IDH has previously been applied to phytoplanktonic communities, in both experim ental and field investigations (Reynolds et al., 1993, Sommer, 1995, Floder & Sommer, 1999), most of which also comply w ith the IDH. T he IDH assumes th a t there is a trade-off in traits th at determ ine com petitive ability and disturbance tolerance (H addad et a l, 2008), resulting in m axim al diversity where com petitive and disturbance tolerant species co-occur (Haddad et ah, 2008). Here we assigned species 100 Diversity - disturbance in benthic diatoms to functional groups based on th e following traits: cell-size and shape, hold-fast mechanisms and m otility. These functional traits were able to explain the effect of disturbance on functional group species richness. High energy conditions with strong wave action and tidal currents create strong selection gradients allowing only a small num ber of erosionresistant, species w ith hold-fast mechanisms to ad a p t to these conditions. Highly disturbed, coarse sedim ents were therefore characterized by the occurrence of m ainly epipsammic diatom species and a relatively high evenness. W ithin the epipsammic communities we observed a turnover from adnate and small ( < 1 0 pm) motile species tow ards stalked species along decreasing disturbance gradients. T he presence of th e small (<10 pm) m otile forms in the most dynam ic sedim ents may appear contradictory at first, as it would increase th e risk of resuspension. However, their m otility m ight actually be a good ad aptation to life on these larger sand grains as it enables them to go for shelter (in crevices) when circum stances are m ost dynamic (e.g. at high tide), while they can move across th e sand grains to optimize e.g. light exposure when circumstances are less dynamic (low tide). Stalked forms were more dom inant in less dynam ic sedim ents which was also noted by (Sundbäck, 1983), as they are more prone to abrasion when the sediments become too dynamic. W ith decreasing disturbance, sedim ents are often poorly sorted (fig. 8 ), containing both silt and sand fractions. Epipelic diatom s are able to colonize these sediments, m ainly small motile ( 1 0 - 2 0 pm) species, while larger motile ( > 2 0 pm ) tax a have higher species richness at lower disturbance. The least disturbed, silt rich, nutrient rich sedim ents harbour few species which can reach high dominance resulting in low evenness, suggesting strong com petitive interactions. These sedim ents harboured m ainly bigger celled epipelic ( > 2 0 pm ) and tychoplanktonic species. The turnover in functional groups coincides w ith strong species turnover along the disturbance gradient with a complete disparity between the least and m ost disturbed communities. Species turnover was especially strong at the high disturbance end. T he functional and taxonom ical turnover also results in a changing diatom cell size distribution along the disturbance gradient. T he m ost disturbed sedim ents are dom inated by very sm all diatom s (< 1 0 0 pm3), while mixed sand and m uddy stations harbour several size classes and average cell size increasing w ith decreasing disturbance. A greater variety in cell sizes in 101 Chapter 4 less disturbed sediments was also observed by Jesus et al. (2009) who hypothesized th a t m uddier stations may provide more potential niche spaces prom oting greater size variation. Irigoien et al. (2004) and Li (2002) also observed an increasing cell size with increasing biomass in phytoplankton communities. They a ttrib u ted this to size-governed protection against Zooplankton predation. Here we do not have d a ta on grazing intensity, so it is difficult to draw any conclusions about this. T he occurrence of large species in the most competitive communities seemingly contradicts w ith their lower surface area to volume ratio causing them to have a less efficient nutrient acquisition compared to small species (Raven, 1998). However, analyses by Grover (1989) on microalgae revealed cells are indeed better com petitors, but shape are often better com petitors than potential mechanism is th a t larger cells th a t for spherical cells, smaller large cells w ith an elongated elongated small ones. Another have a better nutrient storage ability which is im portant in fluctuating n utrient environm ents (Grover, 1991, Litchm an et a l, 2009) such as intertidal m udflats which typically have strong nutrient concentration gradients. 80 ♦ < 63 pm â–¡ 1 2 5 - 2 5 0 pm 2 5 0 - 5 0 0 pm "a' 70 60 50 40 30 - uWiÎ » 20 - 10 - 0 O - * - 2.0 - 1.0 0 1.0 2.0 H ydrodynam ic d istu rb an ce F ig u r e 8. Sedim ent g r a in size classes against th e disturbance gradient. The d i s t u r b a n c e g r a d i e n t larg ely c o i n c i d e s w i t h a g r a d i e n t in s e d i m e n t c o m p o s i t i o n . T h e m o s t d i s t u r b e d s i t e s ( n e g a t i v e v a l u e s ) c o n t a i n m a i n l y m e d i u m siz ed s a n d , w h ile t h e least disturbed sites are d om inated by silt and clay particles. At d i s t u r b a n c e , fine s a n d ( 1 2 5 - 2 5 0 p m ) is t h e m o s t i m p o r t a n t s e d i m e n t ty p e . 102 interm ediate Diversity - disturbance in bentliic diatoms T he classical explanation of the IDH relies heavily on competitive exclusion and environm ental filtering based on species specific tolerances towards disturbance. M ichalet et al. (2006) recently suggested to include facilitation into models explaining the IDH. They argued th a t facilitation can prom ote diversity a t m edium to high disturbance intensities by expanding th e realized niche of disturbance-intolerant com petitive species tow ards stressful conditions. Typical examples for intertidal communities are the large macroalgal canopy-forming species th a t protect understory algae against physical stressors (Molina-Montenegro et al., 2005). Though on another scale, facilitation through alleviation of stressful conditions could apply to m icrophytobenthos as well. Laboratory experiments dem onstrated th a t single cells of epipelic diatom species have limited resistance tow ards resuspension by w ater currents, which is in contrast to epipsammic species (Harper 1977). However, n atu ral epipelic diatom assemblages exude copious am ounts of extracellular polymeric secretions (EPS), thereby creating stick)- biofilms th a t have pronounced influence on erosion thresholds of sedim ents (Paterson, 1989). Thus intertidal diatom biofilms can trap and retain sedim ents a t current velocities th a t would norm ally lead to sedim ent and MFB resuspension (Paterson & Hagerthey, 2001, Van De Koppei et a l, 2001). Yet, different epipelic diatom species seem to have varying abilities to produce EPS and stabilize the sedim ent (Holland et a l, 1974, Underwood, 1994, Paterson & Hagerthey, 2001). Field observations and culture experim ents show th a t the ab u d an t diatom s species Navicula flanatica and Cylindrotheca closterium presum ably have little contribution to sedim ent stabilization (Holland et al., 1974, Underwood, 1994, P aterson & Hagerthey, 2001) but likely take advantage of this h a b ita t amelioration. Next to modifying hydrodynam ic disturbance, benthic microalgae can also facilitate other benthic microalgae through the alleviation of lim iting conditions. Benthic diatom s often face light lim itation due to wave induced burial or by self shading in thick diatom biofilms. Some M PB species are m ixotrophic and have the ability to take up dissolved organic substrates as a carbon or nitrogen source (Linares & Sundback 2006). W e recently showed th a t a mixotrophic strain of Cylindrotheca closterium was able to enhance its growth by recycling organic exudates of other benthic diatom s and was therefore facilitated in its growth by naturally co-occurring diatom species (Vanelslander et a l, 2009). To which extent these facilitative interactions influence th e diversity of n atu ral com m unities is difficult to deduce from our field d ata and thus 103 Chapter 4 field and lab experim ents are needed to determ ine if facilitation actually prom otes diversity in interm ediate to highly disturbed sediments. In addition to th e disturbance gradient, we also assessed diversity p attern s along biomass gradients. Generally th e same p attern s show up, which is not surprising given th a t disturbance and biomass are strongly correlated. Biomass is often used as proxy for productivity to stud}' productivity-diversity relationships. This m ight be reasonable in some cases, but quite often there is no correlation between biomass and productivity, as shown for intertidal benthic diatom s (F orster et al., 2006). This im proper use of productivity surrogates lead to the misconception th a t productivity-diversity relations were m ost frequently hum p shaped (M ittelbach et al., 2001). So caution is required when choosing a m easure for productivity (and thus the availability of resources th a t limit production). In sum m ary, we show th a t diversity of intertidal benthic diatom communities is m axim al a t interm ediate hydrodynam ic disturbance. We further show a decreasing evenness tow ards the least disturbed sites, indicative for strong competitive interactions. T he peak in species richness could be explained by a turnover in functional groups which overlapped and coexisted a t interm ediate disturbance. T his turnover was visible a t different hierarchical levels of functional group classification and was also evident in cell size distributions along th e disturbance gradient. C it e d R e fe r e n c e s Adm iraal, W. 1984. T he ecology of estuarine sedim ent-inhabiting diatom s. In: Round, F. E. & C hapm an, D. J. [Eds.] Progress in Phycological research. Biopress, Bristol, UK., pp. 269-322. Alverson, A. J., Manoylov, K. M. & Stevenson, R. J. 2003. Laboratory sources of error for algal com m unity attrib u tes during sample p reparation and counting. Journal of Applied Phycology 15:35769. B uchanan, J. B. & K ain, J. H. 1971. M easurem ent of the physical and chem ical environm ent. In: Holme, N. A. & M cIntyre, A. D. [Eds.] Methods fo r the Study of M arine Benthos. Blackwell Scientific Publications, pp. 30-53. 104 Diversity - disturbance in benthic diatoms Cardinale, B. J., Hillebrand, Id. & Charles, D. F. 2006. Geographic p attern s of diversity in stream s are predicted by a m ultivariate model of disturbance and productivity. Journal of Ecology 94:609-18. Cardinale, B. J., Hillebrand, H., Harpole, W . S., Gross, K. & Ptacnik, R. 2009. Separating the influence of resource 'availability' from resource 'im balance' on Ecology Letters 12:475-87. productivity-diversity relationships. Chase, J. M. & Leibold, M. A. 2002. Spatial scale dictates the productivity-biodiversity relationship. Nature 416:427-30. Clarke, K. R. 1993. Non-param etric m ultivariate analyses of changes in com m unity structure. Australian Journal o f Ecology 18:117-43. Clarke, K. R. & Gorley, R. N. 2006. P R IM E R v 6 : User M anual/T utorial. PR IM ER -E, . Plym outh. Connell, J. H. 1978. Diversity in tropical rain forests and coral reefs high diversity of trees and corals is m aintained only in a non­ equilibrium state. Science 199:1302-10. Decho, A. W. 2000. Microbial biofilms in intertidal systems: an overview. C ontinental Shelf Research 20:1257-73. Floder, S. & Sommer, U. 1999. Diversity in planktonic communities: An experim ental test of the interm ediate disturbance hypothesis. Lim nology and Oceanography 44:1114-19. Forster, R. M., Creach, V., Sabbe, K., Vyverm an, W . & Stal, L. J. 2006. Biodiversity-ecosystem function relationship in m icrophytobenthic diatom s of the W esterschelde estuary. Marine Ecology-Progress Series 311:191-201. Grime, J. P. 1973. Com petitive exclusion in herbaceous vegetation. N ature 242:344-47. Gross, K. & Cardinale, B. J. 2007. Does species richness drive com m unity production or vice versa? Reconciling historical and contem porary paradigm s in com petitive communities. Am erican N aturalist 170:207-20. Grover, J. P. 1989. Influence of cell-shape and size on algal com petitive ability. Journal of Phycology 25:402-05. Grover, J. P. 1991. Resource com petition in a variable environm ent phytoplankton growing according to the Variable-Internal-Stores model. Am erican Naturalist 138:811-35. H addad, N. M., Holyoak, M., M ata, T. M., Davies, K. F., M elbourne, B. A. & Preston, K. 2008. Species' traits predict the effects of 105 Chapter 4 disturbance and productivity on diversity. Ecology Letters 11:348-56. Hamels, I., Sabbe, K., M uylaert, K., B arranguet, C., Lucas, C., Herman, P. k Yyverm an, W . 1998. O rganisation of microbenthic communities in intertidal estuarine flats, a case study from the M olenplaat (W esterschelde estuary, T he N etherlands). European Journal of Protistology 34:308-20. H arper , M. A. 1977. Movements. In: W erner, D. [Ed.] The biology of diatoms. Blackwell, Oxford. Hillebrand, H., Durselen, C. D., Kirschtel, D., Pollingher, U. k Zohary, T. 1999. Biovolume calculation for pelagic and benthic microalgae. Journal of Phycology 35:403-24. Holland, A. F., Zingmark, R. G. k Dean, J. M. 1974. Q uantitative evidence concerning the stabilization of sedim ents by marine benthic diatoms. M arine Biology 27:191-96. Horner-Devine, M. C., Leibold, M. A., Sm ith, V. H. k Bohannan, B. J. M. 2003. Bacterial diversity p attern s along a gradient of prim ary productivity. Ecology Letters 6:613-22. Hughes, A. R., Byrnes, J. E., Kirnbro, D. L. k Stachowicz, J. J. 2007. Reciprocal relationships and potential feedbacks between biodiversity and disturbance. Ecology Letters 10:849-64. Irigoien, X., Huisman, J. k Harris, R. P. 2004. Global biodiversity p attern s of m arine phytoplankton and Zooplankton. Nature 429:863-67. Jesus, B., Brotas, V., Ribeiro, L., Mendes, C. R., C artaxana, P. k Paterson, D. M. 2009. A daptations of m icrophytobenthos assemblages to sedim ent type and tidal position. Continental Shelf Research 29:1624-34. Li, W. K. W. 2002. Macroecological p attern s of phytoplankton in the northw estern N orth A tlantic Ocean. N ature 419:154-57. Litchm an, E., Klausmeier, C. A. k Yoshiyama, K. 2009. C ontrasting size evolution in m arine and freshwater diatom s. Proceedings of the National Academ y o f Sciences o f the United States o f America Mackey, 106:2665-70. R. L. k Currie, D. J. 2001. T he diversity-disturbance relationship: Is it generally strong and peaked? Ecology 82:347992. 106 Diversity - disturbance in benthic diatoms McLusky, D. S. 1993. M arien and estuarine gradients - an overview. In: Proceedings of th e 21st ECSA Symposium (Meire, P. & Vincx, M., eds.). . Netherlands Journal of Aquatic Ecology 27:489-93. Meire, P., Ysebaert, T., V an Damme, S., V an den Bergh, E., M aris, T. & Struyf, E. 2005. T he Scheldt estuary: A description of a changing ecosystem. Hydrobiologia 540:1-11. Michalet, R., Brooker, R. W ., Cavieres, L. A., Kikvidze, Z., Lortie, C. J., Pugnaire, F. I., V aliente-B anuet, A. & Callaway, R. M. 2006. Do biotic interactions shape both sides of the hum ped-back model of species richness in plant communities? Ecology Letters 9:767-73. M itchell-Olds, T. & Shaw, R. G. 1987. Regression analysis of natural selection: S tatistical inference and biological interpretation. Evolution 41:1149-61. M ittelbach, G. G., Steiner, C. F., Schemer, S. M., Gross, K. L., Reynolds, H. L., Waide, R. B., Willig, M. R., Dodson, S. I. & Gough, L. 2001. W hat is the observed relationship between species richness and productivity? Ecology 82:2381-96. Molina-Montenegro, M. A., Munoz, A. A., Badano, E. I., Morales, B. W., Fuentes, K. hl. & Cavieres, L. A. 2005. Positive associations between macroalgal species in a rocky intertidal zone and their effects on the physiological performance of Ulva lactuca. Marine Ecology-Progress Series 292:173-80. Molino, J. F. & Sabatier, D. 2001. Tree diversity in tropical rain forests: A validation of the interm ediate disturbance hypothesis. Science 294:1702-04. Oh, S. H. & Koh, C. H. 1995. D istribution of diatom s in the surficial sedim ents of the M angyung Dongjin tidal flat, west coast of K orea (Eastern Yellow Sea). M arine Biology 122:487-96. Oksanen, J., K indt, R., Legendre, P ., O 'H ara, B., Simpson, G. L., Henry, M., Stevens, H. & W agner, H. 2008. Vegan: com m unity ecology package. R package, http://vegan.r-forge.r-proiect.org 1.13-1 ed. Paterson, D. hi. 1989. Short-T erm Changes in the Erodibility of Intertidal Cohesive Sediments Related to the M igratory Behavior of Epipelic Diatoms. Lim nology and Oceanography 34:223-34. Paterson, D. hi. & H agerthey, S. E. 2001. hlicrophytobenthos in contrasting coastal ecosystems: biology and dynamics. In: Reise, K. [Ed.] Ecological Comparisons of Sedim entary Shores, pp. 10525. 107 Chapter 4 Paterson, D. M., T olhurst, T. J., Kelly, J. A., Honeywill, C., de Deckere, E., Huet, V., Shayler, S. A., Black, K. S., de Brouwer, J. & Davidson, I. 2000. V ariations in sedim ent properties, Skeffling m udflat, Hum ber E stuary, UK. Continental Shelf Research 20:1373-96. Raven, J. A. 1998. T he tw elfth Tansley Lecture. Small is beautiful: the picophytoplankton. Functional Ecology 12:503-13. Reynolds, C. S., Padisak, J. & Sommer, U. 1993. Interm ediate dusturbance in the ecology of phytoplankton and the m aintenance of species diversity, a synthesis. Hydrobiologia 249:183-88. Roxburgh, S. H., Shea, K. & Wilson, J. B. 2004. T he interm ediate disturbance hypothesis: P atch dynam ics and mechanisms of species coexistence. Ecology 85:359-71. Sabbe, K. 1993. Short-term fluctuations in benthic diatom num bers on an intertidal sandflat in the W esterschelde estuary (Zeeland, The Netherlands). Hydrobiologia 269:275-84. Sabbe, K. & Vyverman, W . 1991. D istribution of Benthic Diatom Assemblages in th e W esterschelde (Zeeland, the Netherlands). Belgian Journal o f Botany 124:91-101. Schaefer, J., Gido, K. & Sm ith, M. 2005. A test for com m unity change using a null model approach. Ecological Applications 15:1761-71. Sommer, U. 1995. An experim ental test of the interm ediate disturbance hypothesis using cultures of m arine phytoplankton. Limnology and Oceanography 40:1271-77. Sousa, W. P. 1979. D isturbance in m arine intertidal boulder fields: the non-equilibrium m aintenance of species diversity. Ecology 60:1225-39. Sundbäck, K. 1983. Microphytobenthos on Sand in Shallow Brackish Water, Öresund, Sweden. University of Lund, Sweden. Doctoral dissertation. Sundbäck, K., Miles, A. & Goransson, E. 2000. Nitrogen fluxes, denitrification and the role of m icrophytobenthos in microtidal shallow-water sediments: an annual study. M arine EcologyProgress Series 200:59-76. Svensson, J. R., Lindegarth, M., Siccha, M., Lenz, M., Molis, kl., W ahl, kl. & Pavia, H. 2007. klaxim um species richness a t interm ediate frequencies of disturbance: productivity. Ecology 88:830-38. 108 Consistency among levels of Diversity - disturbance in benthic diatoms Tilm an, D. 1977. Resource Com petition between P lanktonic Algae E xperim ental and Theoretical Approach. Ecology 58:338-48. Underwood, G. J. C. 1994. Seasonal and spatial variation in epipelic diatom assemblages in the Severn estuary. D iatom Research 9:451-72. Underwood, G. J. C. & Kromkamp, J. 1999. Prim ary production by phytoplankton and m icrophytobenthos in estuaries. Advances in Ecological Research, Vol 29. pp. 93-153. V an Colen, C., De Backer, A., Meulepas, G., van der W al, D., Vincx, M., Degraer, S. Y sebaert, T. 2010. Diversity, tra it displacements and shifts in assemblage structure of tidal flat deposit feeders along a gradient of hydrodynam ic stress. M arine EcologyProgress Series 406:79-89. Van De Koppel, J., Herman, P. hi. J., Thoolen, P. & Heip, C. H. R. 2001. Do alternate stable states occur in natural ecosystems? Evidence from a tidal flat. Ecology 82:3449-61. Vanelslander, B., De Wever, A., Van Oostende, N., K aew nuratchadasorn, P ., Vanormelingen, P ., Hendrickx, F., Sabbe, K. &: Vyverman, W . 2009. Com plem entarity effects drive positive diversit}' effects on biomass production in experim ental benthic diatom biofilms. Journal o f Ecology 97:1075-82. Violle, C., Pu, Z. C. &; Jiang, L. 2010. Experim ental dem onstration of the im portance of com petition under disturbance. Proceedings o f the National Academ y o f Sciences of the United States o f Am erica 107:12925-29. W eithoff, G. 2003. T he concepts of 'plant functional types' and 'functional diversity' in lake phytoplankton - a new understanding of phytoplankton ecolog,y? Freshwater Biology 48:1669-75. W hittaker, R. J. 2010. M eta-anaR ses and mega-mistakes: calling tim e on m eta-analysis of the species richness-productivity relationship. Ecology 91:2522-33. W right, D. H. 1983. Species-Energy Theory - an Extension of SpeciesArea Theory. Oikos 41:496-506. 109 Chapter 4 S u p p le m e n t a r y m a te r ia l T a b l e 1. T h e r e g re s s i o n e q u a t i o n s for t h e s p e c i e s r i c h n e s s / f u n c t i o n a l g r o u p ric h n e s s vs. h y d r o d y n a m i c d i s t u r b a n c e (lin ear: Y = a + b X using th e resid u al sp e c ie s richness after or Q uadratic: Y = accounting for t h e a+ bX + s a lin ity trend. c X 2) No r e g re ssio n g i v e n f o r t h e m o t i l e 1 0 - 2 0 p m a n d t y c h o p l a n k t o n g r o u p s s i n c e t h e r e is no s i g n i f i c a n t r e l a t i o n b e t w e e n d i v e r sity a n d sa lin ity . S i g n i f i c a n c e c o d e s : 'N . S . ' P > 0.0 5 ; : 0.01 < P < 0.05 ; 0 . 0 1 < P < 0 .0 0 1 ; ' * * * ’: P < 0 . 0 0 1 . AIC: A k a i k e ’s i n f o r m a t i o n C r i t e r io n . N.A . n o t a p p lic a b le . S E : S t a n d a r d E rro r. T h e AIC v a l u e for t h e m o s t reliab le m o d e l is s h o w n in bo ld. o % S3 2 j ci ~-4 Çl O Cl ci 2 r—\ ci :s * 7- % ;/- 2 2 c¡ Cl ci Ci * ë S- f' J Vi ' yf¡ Cl — 41 3 J Cl —i y. -*1 -H Tr C¡ < Y -TÍ i z 9 > y, •H 3 9 -H y. -H “i ° â– H S o -H S2 s 2 X /. /. c' H Çl X xi 2 ci il Cl s 5 'H S 3. o a 1w 5 t 110 11 £ ti s-i jf 7' X / ci d Ü 3 . £ ' y C- xi -H ?» 9 y. ' *â– ' w* X. *2, Ö -H -c d s o c o -H -H -H > il Diversity - disturbance in benthic diatoms T a b l e 2. T h e regre ssio n e q u a t i o n s for t h e s p e c i e s r i c h n e s s / f u n c t i o n a l g r o u p rich n ess vs. t o t a l s t a n d i n g b i o v o l u m e s t o c k (lin ear: Y = a + b X o r Q u a d r a t i c : Y = a + b X + c X 2) using the residual sp e c ie s ric h n e s s after accounting for th e s a lin ity trend. No re g re s s i o n g iv en f o r t h e m o tile 1 0 - 2 0 p m a n d t y c h o p l a n k t o n g r o u p s sin c e t h e r e is no s i g n i f i c a n t re l a t i o n b e t w e e n d i v e r sity a n d salin ity . S i g n i f i c a n c e c o d e s : 'N . S . ' P > 0 .0 5 ; : 0 .0 1 < P < 0 .0 5 ; 0 . 0 1 < P < 0 . 0 0 1 ; '* * * ': P < 0 . 0 0 1 . AIC: A k a i k e ' s i n f o r m a t i o n C r ite r io n . N.A. n o t a p p lic a b le . SE: S t a n d a r d E rro r. T h e AIC v a l u e f o r t h e m o s t reliab le m o d e l is s h o w n in bold. C f -H o •H 7. § 5 -H ct ¿ 4i -H i- h- /_• r? —• -H ö -H o i- â– S 7 £ «i — â– H c -H -M H "i tri — -T - « •J w à 111 Chapter 4 T a b l e 3 . T h e reg re ssio n e q u a t i o n s for t h e s p e c i e s r i c h n e s s / f u n c t i o n a l g r o u p sp e cies r i c h n e s s vs. s a lin ity ( Y —a + b X ) . S ig n ific a n c e c o d e s : 'N . S . ' P > 0 . 0 5 ; < 0 .0 5 ; 0 .0 1 < P < 0 . 0 0 1 ; '* * * ': : 0.01 < P P < 0 .0 0 1 . AIC: A k a i k e ' s in f o r m a t i o n C r ite r io n . N .A . n o t app licab le. S E : S t a n d a r d Error. G ro u p a ± S E (p-value) b ± S E (p-value) T o ta l 41.30 ± 1.62 *** E p ip elo n O v erall P Adj. regression m odel R2 0.22 ± 0.07*** 0.00079 0.0282 14.79 ± 0.97 *** -0 .1 3 ± 0.04** 0.00113 0.0265 E p ip sam m o n 13.92 ± 1.45 *** 0.30 ± 0 .06 *** 5.681 . IO 7 0.0649 T y c h o p la n k to n 12.57 ± 1.02 *** 0.05 ± 0.04 (N .S.) 0.2095 0.0020 M o tile > 2 0 p m 9.75 ± 0.70 *** -0.13 ± 0.03 *** 1.025 . IO'5 0.0503 M otile 10-20 pm 6.48 ± 0.57 *** 0.02 ± 0.02 (N .S.) 0.379 0.0006 M o tile < 1 0 pm 2.76 ± 0.40 *** 0.07 ± 0.01 *** 9.42 . 10'" 0.0500 A d n a te 5.42 ± 0.74 *** 0.15 ± 0 .0 3 *** 2.51 . 10" 0.0575 S talk ed 4.31 ± 0.39 *** 0.06 ± 0.01 *** 0.00017 0.0359 112 C h a p te r 5 C o m p le m e n t a r it y E ffe c ts D r iv e P o s it iv e D iv e r s it y E ffe c ts o n B io m a s s P r o d u c t io n in E x p e r im e n ta l B e n t h ic D ia t o m B io film s B art Vanelslander1, Aaike De W ever1, Nicolas Van Oostende1, P a tta ra tjit Kaew nuratchadasorn2, P ieter Vanormelingen1, Frederik H endrickxi4, Koen Sabbe 1 and W im V 3 'ver m an 1 la b o r a to r y of Protistology & Aquatic Ecology, D epartm ent of Biology, G hent University, Krijgslaan 281-S8, B-9000 G hent, Belgium S o u th e ast Asian Fisheries Development Center, Training D epartm ent, Phrasam utchedi S am utprakan 10290, Thailand 3T errestrial Ecology U nit, D epartm ent of Biology, Ghent University, K. L. Ledeganckstraat 35, B-9000 Ghent, Belgium 4Royal Belgian Institute of N atural Sciences, V autierstraat 29, B-1000 Brussels, Belgium Published as: Vanelslander, B., De Wever, A., V an Oostende, N., K aew nuratchadasorn, P., Vanormelingen, P., Hendrickx, F., Sabbe, K. & Vyverman, W. (2009) Com plem entarity effects drive positive diversity effects on biomass production in experim ental benthic diatom biofilms. Journal o f Ecology, 97, 1075-1082. 113 Chapter 5 A b s tr a c t Positive effects of species diversity on ecosystem functioning have often been dem onstrated in ‘m acrobiaP communities. This relation and the responsible mechanisms are far less clear for microbial communities. Most experim ental studies on microorganisms have used randomly assembled communities th a t do not resemble natural communities. It is therefore difficult to predict th e consequences of realistic, non-random diversity loss. In this study, we used naturally co-occurring diatom species from intertidal mudflats to assemble communities w ith realistically decreasing diversity and analysed th e effect of non-random species loss on biomass production. O ur results dem onstrate a highly positive biodiversity effect on production, w ith m ixtures outperform ing the most productive component species in more th a n half of the combinations. These strong positive diversity effects could largely be attrib u ted to positive com plem entarity effects (including both niche com plem entarity and facilitation), despite the occurrence of negative selection effects which partly counteracted th e positive com plem entarity effects a t higher diversities. Facilitative interactions were, a t least in p art, responsible for the higher biomass production. For one of the species, Cylindrotheca closterium,, we show its ability to significantly increase its biomass production in response to substances leaked into the culture m edium by other diatom species. In these conditions, the species drastically reduced its pigment concentration, which is typical for mixotrophic growth. We show th a t both species richness and identity have strong effects on the biomass production of benthic diatom biofilms and th a t transgressive overyielding is common in these communities. In addition, we show mechanistic evidence for facilitation which is partly responsible for enhanced production. U nderstanding th e mechanisms by which diversity enhances th e perform ance of ecosystems is crucial for predicting the consequences of species loss for ecosystem functioning. 114 Diversity-Productivity in benthic diatom biofilms I n t r o d u c t io n T he effects of biodiversity and changes in com m unity composition on the functioning of ecosystems have been a central topic in ecological research during th e past decade. T he m ain research question has been whether ecosystems w ith decreasing species num bers and altered species compositions are able to m aintain their functional properties and process rates. T h e m ajority of these studies dem onstrate th a t a decline in species richness and functional diversity can adversely affect central ecosystem processes such as productivity (Hooper et al. 2005; S riv astav i & Vellend 2005; C ardinale et al. 2006). Theory suggests th a t positive relations between biodiversity and ecosystem functioning arise through three prim ary mechanisms: sampling or selection probability effects, niche com plem entarity and facilitation. T he sam pling effect refers to the increased probability of selecting species w ith a specific property in random ly assembled experim ental treatm ents w ith a higher num ber of species (Huston 1997). Niche com plem entarity occurs when species differ in their resource requirem ents, resulting in lower com petition from interspecific neighbours th an from conspecifics. This m ay lead to a more complete resource use by more speciose com m unities (Fridley 2001). Facilitation occurs when a species modifies the environm ent in a way th a t benefits a co-occuring species (Vandermeer 1989). Niche com plem entarity and facilitation are collectively referred to as ‘com plem entarity’, as it is often unclear which mechanism prevails. A lthough niche com plem entarity and facilitation are often considered to enhance ecosystem functioning w ith increased species richness, direct functional and ecophvsiological evidence is scarce. C om plem entarity is generally dem onstrated indirectly by comparing m ixture yields w ith th e expected yield based on the m onocultures of the com ponent species (Loreau 1998; Loreau k Hector 2001).W hile there are numerous examples of niche com plem entarity (e.g. com plem entary N uptake strategies in plants: Jum pponen et al. 2 0 0 2 ), there is little direct evidence showing how it can lead to increased resource use and thus serve as a functional m echanism in positive biodiversity ecosystem functioning (BEF) relationships (Kahm en et al. 2006). M echanistic evidence for facilitation has been dem onstrated for N-fixing legumes (Tem perton et al. 2007) and larvae of suspension-feeding T richoptera (Cardinale et al. 2 0 0 2 ), b u t further direct evidence for facilitation is lacking. 115 Chapter 5 T he m ajority of the studies linking com m unity diversity with ecosystem functioning have focused on terrestrial plant communities, whereas microbial communities have received less attention, especially in m arine system s (Petchey et al. 2002; Giller et al. 2004).Microbial systems seem extrem ely attractive for testing B EF hypotheses because they provide high levels of experim ental control and replication, and the possibility to ru n experiments over m any generations. However, microbial B EF experim ents th a t are relevant to natural situations are difficult to realize due to the fact th a t the m ajority of microorganisms resist cultivation in th e laboratory (up to 99% of prokaryotes, Kaeberlein et al. 2002). As a result, most BEF experim ents w ith microbial communities used artificial communities of easily cultivable taxa, which usually bear little resem blance to natural assemblages in term s of both species com position and species richness. In addition, these artificial communities are generally randomly assembled, while natural species loss is typically non-random due to differences in population size, im m igration rate and specific resistance to stressors (Giller et al. 2004; Srivastava & Vellend 2005). T his raises concerns about the relevance of previously observed diversity effects for natural microbial communities and renders it more difficult to predict the consequences of realistic diversity loss. T he few studies th a t have used non-random diversity changes (Solan et al. 2004; Z avaleta & Hulvey 2004; Bracken et al. 2008) found more rapid and disproportionate loss of function th a n expected from random ized loss experim ents. W e focused on estuarine benthic diatom (Bacillariophyta) com m unities which provide a useful microbial system to address the link between biodiversity and ecosystem functioning because these com m unities are relatively species-poor (local diversity m ostly ranging from two to nine species, Forster et al. 2006). In addition, m any species are cultivable (M ann & Chepurnov 2004) and readily identifiable using light microscopy (Forster et al. 2006). Benthic diatom s play a pivotal role in the functioning of estuarine ecosystems; they provide up to 50% of the prim ary production of estuaries (Underwood & Krom kam p 1999), contribute to sedim ent stabilization through th e production of extracellular polymer secretions (Decho 2000) and influence nutrient fluxes between sedim ent and w ater (Sundback et al. 2000). A field study by Forster et al. (2006) on intertidal mudflats in th e W esterschelde estuary (The Netherlands) showed a positive relationship between net prim ary production and diversity of natural 116 Diversity-Productivity in benthic diatom biofilms diatom communities. We further explored this relationship by composing experim ental assemblages of naturally co-occurring diatom species with nonrandom ly decreasing diversity and analysed the effect of species richness and composition on biomass production. Biodiversity effects were assessed by m easuring overyielding (occurring when a m ixture of species perform s better than its m onocultures). T he mechanisms behind the biodiversity effects were explored by partitioning the biodiversity effects using the additive partitioning equation of Loreau A Hector (2001) and by conducting an additional culture experim ent to elucidate potential facilitative interactions between different species. M a t e r ia l a n d m e t h o d s B io d iv e rs ity -e c o s y s te m fu n c tio n in g e x p e r im e n t T h e effect of diatom species richness on com m unity yield was assessed using eight benthic diatom species (Table 1). These species were isolated from th e ‘P au lina’ intertidal m udflat in th e W esterscheldc E stuary, The N etherlands (51°21’ N, 3°43’ E) where they are dom inant components of th e m icrophytobenthos (Sabbe & V yverm an 1991; Forster et al. 2006). Voucher slides of the cultures used for th e experim ents were kept in the L aboratory of Protistology and A quatic Ecology, G hent University, Belgium. In total, we assembled 19 species combinations spanning four species richness levels (one, two, four and eight species, combinations shown in Table 1) in a replicated com binatorial design (Giller et al. 2004) which replicated both species richness and species composition, with five replicates per treatm ent. W e replicated three species levels regarding species composition (one, two and four species); th e eighth species com m unity was only the pool of species used here. Therefore, we cannot separate the effect of species num ber and identity on the production for th e eighth species level. Although this is a serious drawback, we included th is m ixture because it can shed some light on the interspecific interactions when all species are combined. 117 Chapter 5 S ta tis tic a l a n a ly se s W e used the additive partitioning m ethod (Loreau & Hector 2001) to calculate the n et biodiversity, selection and com plem entarity effects. The net biodiversity effect of a m ixture was calculated as the difference between the observed yield and th e expected yield (weighted average of the monocultures), under the null hypothesis th a t there was no selection or com plem entarity effect. T he net biodiversity effect could be partitioned into two additive com ponents: the selection effect and the com plem entarity effect. T he com plem entarity effect for a specific number of species N was N A R Y M , where À R Y is th e average change in relative yield for all species in th e m ixture and M is the average m onoculture yield. T he selection effect N • cov (ARY, M) was calculated as the covariance between the m onoculture yield of species (hi) and their change in relative yield in th e m ixture (ARY) m ultiplied by the number of species in th e m ixture (N). Positive selection occurred when species w ith high monoculture yield dom inated the m ixtures, while negative selection arose when species w ith low m onoculture yield dom inated or when species w ith high m onoculture yield performed worse in mixtures. Negative selection effects were docum ented in seagrass communities where plant m ortality in m ixtures was reduced in genotypes th at were weak in m onoculture (Reusch et al. 2005). A nother example is found in serpentine grasslands where perennial bunchgrass w ith high monoculture yields produced substantially less biomass in m ixtures with other functional groups (Hooper k Vitousek 1997). As our d ata were not normally distributed, we used th e Spearm an rank m ethod for calculating the correlation (rho) of species richness with biovolume yield, net biodiversity effects, com plem entarity and selection effects (R Development Core Team 2005). W e evaluated the effects of species composition (identity effect) and species richness (diversity effect) on biomass yield using a generalized linear mixed model (GLMM) w ith species richness as a fixed factor and species composition as a random factor nested w ithin species richness. We treated species composition as a random factor because replicate species compositions were only a sm all sample of all possible species combinations. Species richness was treated as a fixed factor because its levels are deliberately selected and form a larger fraction of the possible range. As the standard deviations of the different combinations were 120 Diversity-Productivity in benthic diatom biofilms correlated w ith the average yield, we log-transformed the yield values. T he variances between the different com binations differed between species richness levels. Therefore, a GLMM w ith the variances estim ated for each species richness level was used. T he link function was “proc m ixed” and the distribution family was normal. T he variance structure was t-variance com ponents”. W e verified which m ixtures outperform ed their most productive component m onoculture by calculating the transgressive overyielding measure D„mx (Loreau 1998). We assessed the performance of individual species in each m ixture by considering th e proportional deviation (D¡) of species i’s yield from its expected value based on its m onoculture yield (Loreau 1998). R e s u lt s After 25 days, th e initial biovolume of 4.78 • x IO7 pm 3 algal cells added to the experim ental microcosms significantly increased in all treatm ents. Analysis of diatom biovolume (Fig. la ) of the different species assemblages revealed an increase in yield with species richness (Spearm an rank correlation rho of 0.54, P = 0.016). T he transgressive overyielding measure Dmax, which indicates when a m ixture outperform s its most productive com ponent treatm ents. m onoculture, was positive in 6 out of 11 The GLMM (Table 2) confirmed th a t species richness influenced biomass yield (F = 4.59, P = 0.018) and showed th a t the identity of the m onocultures significantly influenced their production (Z = 1.86, P =0.0312) b u t was unable to show significant differences in yield between different com binations w ithin higher species richness levels. A TukeyK ram er post hoc test showed significant differences in yield between communities of four species and m onocultures (adjusted P — 0.0422). T he net biodiversity effect (Loreau & Hector 2001) increased w ith species richness (Fig. lb , Spearm an rank correlation of 0.82, P = 0.002). T he biovolume d a ta for the individual species in the assemblages allowed us to separate th e net biodiversity effect into a selection and a com plem entarity effect (sensu Loreau & Hector 2001). The selection effect showed a decreasing trend and became negative w ith increasing species 121 Chapter 5 richness (Fig. Id), which indicated th a t assemblages w ith higher species richness were dom inated by species w ith low m onoculture yields. The negative selection effects in treatm ents one, three, four, five and nine were mainly caused by th e dominance of C. closterium and / or Nitzschia sp., wherein th e yields in the above m ixtures exceeded their monoculture yields. T h e com plem entarity effect was positive for all except one treatm ent (seven) and increased w ith species richness (Fig. le). (b) (a) 25 40 156 20 6 12 30 20 14$ 10 7 . 9 13 o « êCDCO ra 10 >. E 11 10 . 18$ 10 m U* 19 m 1 2 3 4 5 3 7 N u m b er of s p e c ie s N u m b er of s p e c ie s (d) 11« 6°7 To (c) 50 II 40 I'S 30 !.â– eco » 20 isg e oI 10 li -10 -20 0 a. (/) E O o -30 E ° ® —o 2 -40 -10 1 2 3 4 5 6 7 1 2 3 4 5 6 7 N u m b er o f s p e c ie s N u m b er o f s p e c ie s F ig u r e 1 . E f f e c t s o f d i a t o m d i v e r s i t y o n ( a ) b i o m a s s yield, ( b ) n e t b i o d iv e r sity effect ( t h e d i f fe r e n c e b e t w e e n t h e o b s e r v e d yield o f t h e m i x t u r e a n d t h e e x p e c t e d yield, L o reau L o reau H e c t o r 2 0 0 1 ) , ( c ) c o m p l e m e n t a r i t y e f f e c t s a n d ( d ) se l e c t i o n e f f e c t s ( sensu & H ector 2001). A rrow s indicate th e treatm en ts w here transgressive o v er y ield in g ( D ma*) o c c u r r e d . T h e n u m b e r s d e n o t e t h e d i f f e r e n t t r e a t m e n t s as d efined in T a b l e 1. O p e n c ircles r e p r e s e n t t r e a t m e n t s w i t h o u t C ylindrotheca closterium , filled circles r e p r e s e n t t r e a t m e n t s w h i c h c o n t a i n C. closterium . 122 Diversity-Productivity in benthic diatom biofilms T a b l e 2 . R e s u l t s o f a g e n e r a l i z e d lin ear m ix ed m o d e l ( G L M M ) w i t h s p e c i e s rich n ess a s a fixed f a c t o r a n d s p e c i e s c o m p o s i t i o n as a r a n d o m f a c t o r n e s t e d w i t h i n sp e cies richness. V a r ia n c e s w ere e s tim a te d com b: f o r e a c h s p e c i e s r i c h n e s s level. A b b r e v i a t i o n s : s p e c i e s c o m b i n a t i o n s , SRL: sp e c i e s r i c h n e s s level, S E : s t a n d a r d erro r, d.f.: d e g r e e s o f f r e e d o m , n.a.: n o t a p p lic a b le . Diff.: d if fer en ce. R a n d o m effec ts E stim a te (SE) Z -value P -value S pecies C om b in ation s in SR L 1 1.2378 (0.6053) 1.86 0 .0 3 1 2 S p ecies C om b in ation s in SR L 2 0.06049 (0.04137) 1.46 0.0718 S pecies C om b in ation s in SRL 4 0.03607 (0.03347) 1.08 0.1406 S pecies C om b in ation s in SR L 8 0 (n .a.) n.a. n.a. F-value F ix e d e ffe c ts S pecies richness P -value 4 .5 9 0 .0 1 8 A dju sted P T u k e y -K r a m e r p o s t h o c te s t Effect E stim ate (S E ) d.f. t-v a lu e D iff SR L 1 - 2 -0.7734 (0.3905) 15 -1.98 0.2384 D iff SR L 1 - 4 -1.1581 (0.3897) 15 -2.97 0 .0 4 2 2 D iff SR L 1 - 8 -0.9959 (0.3828) 15 -2.60 0.0838 D iff SR L 2 - 4 -0.3846 (0.1454) 15 -2.64 0.0775 D iff SR L 2 - 8 -0.2225 (0.1258) 15 -1.77 0.3254 D iff SRL 4 - 8 0.1621 (0.1232) 15 1.32 0.5672 T h e relation between the performance of individual species (D¡), and the num ber of species in the assemblage is shown in Fig. 2. A positive correlation was observed for C. closterium and N. gregaria (Fig. 2a,b), while N. arenaria, N. flanatica, N. cincta and H. crucigera showed a neutral to negative relation (Fig. 2e-h). The D¡ of Nitzschia sp. and of N. phyllepta (Fig. 2c,d) showed a nonlinear relation w ith species richness, indicating th a t th e species composition rather than its richness influenced the perform ance of Nitzschia sp. T he proportional deviation of the other species was not significantly correlated w ith species richness. T o test w hether facilitation between different diatom species was the m echanism th a t prom oted the grow th of C. closterium in multispecies assemblages (see D¡ of this species in Fig. 2a), we conducted an additional experim ent assessing th e growth of a C. closterium m onoculture in an environm ent where there was no influence of other diatom species and in an environm ent where we added spent medium of different Navicula 123 Chapter 5 species. W e observed a disproportionate threefold increase in cell numbers when we added spent medium and, surprisingly, a drastic six fold decrease in chlorophyll a content per cell (Fig. 3). 1 2 3 4 5 6 7 N u m b e r of s p e c i e s F ig u r e 2 . P r o p o r t i o n a l d e v i a t i o n Di ( L o r e a u 1 9 9 8 ) o f sp e c i e s yield f r o m its e x p e c t e d v alue (a): C ylindrotheca ( d ):N a v ic u la phyllep ta , ( e ): c losterium , ( b ): N avicula gregaria, ( c ):N itzsch ia N avicula arenaria, (f): N avicula flanatica, (g): sp., Haslea crucigera, ( h ) : N avicula cincta. (b) v> (c) c 0) £ 6 T<5D 0.3 T â–¡ V) O) 4 40 X co Z 0 ) 0.1 O CO 'f/2' F ig u r e 3. 'f/2' sp e n t m edium B i o v o l u m e yield (a) JC o O ) CL 2 and spent m edium ch lo ro p h y ll a yield C ylindrotheca clo ste riu m w h e n g r o w n in i n o r g a n i c ' f / 20 m 'f/2' (b) spent m edium of a m o n o c u ltu re of 2' m edium and in 'f / 2’ m e d i u m e n r i c h e d w ith s p e n t m e d i u m o f a m i x t u r e o f Navicula s p e c ie s, ( c ): b o x p l o t o f t h e c h l o r o p h y ll a t o b i o v o l u m e r a t i o in b o t h t r e a t m e n t s . 124 Diversity-Productivity in benthic diatom biofilms D is c u s s io n O ur results dem onstrated strong effects of non-random diversity changes on biomass production in experim entally assembled benthic diatom comm unities. Positive diversity effects could largely be attrib u ted to strong positive com plem entarity effects (incorporating both niche com plem entarity and facilitation). A t the highest diversity (eight species) the shape of the species richness-net biodiversity effect curve levelled off. T his was due to negative selection effects which partly counteracted the positive com plem entarity effects and was m ainly caused by the dom inance of species w ith low m onoculture yields (particularly C. closterium and Nitzschia sp.). Negative selection effects seem to be relatively common in B EF experim ents (Fargione et al. 2007; Jiang 2007) and can significantly decouple effects of com plem entarity from net effects on production. T he overall effects of biodiversity on biomass production were highly positive, especially when m ixture yields were com pared w ith m onoculture yields. Six out of 11 com binations outperform ed their most productive com ponent m onoculture. This phenomenon, called transgressive overyielding, is a strong indication for niche com plem entarity and /o r facilitation, since sam pling effects alone cannot cause this type of overyielding (Drake 2003). T he frequent occurrence of transgressive overyielding (in 54% of our m ixtures) was rem arkable as most. B EF studies dem onstrated very low frequencies or absence of transgressive overyielding (Hector et al.2002; Drake 2003; Hooper & Dukes 2004; Cardinale et al. 2006). T he few studies th a t did observe transgressive overyielding were long-term experim ents (covering 1 0 generations, Fargione et al. 2007), showing th a t positive diversity effects m ight increase over time. Hector et al. (2002) suggest th a t the conditions where resource partitioning and positive feedback mechanisms become ap p aren t were not yet fully developed in m any short-term experiments (in term s of num ber of generations) using higher plants. O ur experiment was conducted w ith rapidly dividing microbial species (covering five to six generations), which may explain the observed high frequency of transgressive overyielding. In addition, the fact th a t we sim ulated nonrandom species loss, which often results in more rapid and disproportionate loss of function due to faster disappearance of functional 125 Chapter 5 groups (Solan et al. 2004; Z avaleta & Hulvey 2004; Bracken et al. 2008) m ight also have led to more pronounced biodiversity effects. T he high frequency of transgressive overyielding in our experim ents (in 54%of the m ixtures) can be further explained by the effects of species richness on production and the underlying mechanisms m ediated by specific environm ental conditions (C ardinale et al. 2000). Facilitation, one of the mechanisms potentially leading to overyielding, is considered to be more im portant under harsh environm ental conditions (Bertness & Leonard 1997; M ulder et a,I. 2001). H arsh lim iting conditions, such as desiccation, highly variable salinity and tem perature and regular physical disturbance are constantly encountered by diatom s of intertidal m udflats and could be alleviated through the intim ate association of cells in biofilms which offers shelter against bottom shear stress from wave action. This physical protection is strengthened by positive feedback interactions between diatom growth and decreased sedim ent erosion (Van de Koppei et al. 2001). Here we dem onstrated th a t diversity per se (and th e increasing probability of positive interactions) could thus maximize n et production of biofilms which m ight reinforce the reported positive feedback mechanisms between biofilm production and decreased sediment erosion. F uture research should be conducted on th e effects of species diversity on biofilm stability. T he observed positive diversity effects were largely attributable to strong positive com plem entarity effects which could be caused by niche com plem entarity and /o r facilitation. A t the m om ent we do not have insights into mechanisms of niche com plem entarity b u t it is conceivable th a t there is com plem entary use of light and /o r nutrients. We did find facilitative interactions when we calculated th e difference between the yield of a particular species in the presence of other species and as a m onoculture. We found th a t the yield of C. closterium strain VD18 and Nitzschia sp. was alm ost always strongly prom oted in the presence of other diatom species, indicating facilitation (Hodgson et al. 2002).While th is suggests th a t facilitation is an im portant com ponent of the observed com plem entarity, we cannot infer exactly to w hat extent facilitation contributed to the positive diversity effect in our experiment. Although Nitzschia sp. generally benefited from th e presence of other diatom species, its performance decreased in the eight species m ixtures (Fig. 2c). In this case, interspecific com petition was probably stronger than the facilitative interactions. Some caution is w arranted, however, when drawing conclusions from the eight species level, because the species 126 Diversity-Productivity in benthic diatom biofilms composition a t this diversity level is not replicated. Because of this, species id entity effects cannot be separated from species diversity effects for this species richness level. T he results of additional experim ents w ith C. closterium strain VD18 confirmed the occurrence of facilitation. The growth (in term s of cell num bers) of C. closterium m onocultures was strongly prom oted when spent medium of a different Navicula species was added, while the cellular chlorophyll a content showed a sixfold decrease. Since the Navicula species modified the environm ent in a way favourable to C. closterium cells, we can conclude th a t facilitation occurred (Vanderm eer 1989; Fridley 2001). Previous experim ents w ith C. closterium strain VD18 showed th a t th e culture medium (f / 2 ) was sufficiently n u trient rich th a t even half strength did not depress growth rate over sim ilar periods of tim e and under identical culture conditions, implying th a t inorganic nutrients should never be lim iting to C. closterium strain VD18 in th e additional experim ent (B. Vanelslander, unpublished data). O n the other hand, we previously found th a t the growth of this strain im proved when galactose was added to the culture medium, showing the m ixotrophic capacities of this strain. Mixotrophic growth of microalgae is known to cause a decrease in specific chlorophyll a content and reduction or even loss of photosynthetic capacity (T ittel et al. 200-5). Considering th e m ixotrophic capacities of this strain and the absence of inorganic n u trien t shortage, we concluded th a t th e improved growth and concomitant decrease in chlorophyll a content was caused by a shift from photoautotrophic to mixotrophic growth on exudates of other diatom species, potentially modified by bacteria. In contrast, two other C. closterium strains (VD05 and VD06) incapable of using galactose to improve their growth did not show significantly differing growth rates and had an unaltered chlorophyll a content when the same spent medium of different Navicula species was added (B. Vanelslander, unpublished data). These observations strengthened our conclusion th a t the grow th of C. closterium strain VD18 was prom oted by the availability of organic exudates in th e spent medium. Benthic environm ents are often characterized by frequent light lim itation due to burial and shading by thick algal m ats and by relatively high concentrations of dissolved organic compounds (Cook et al. 2004). These conditions provide a competitive advantage to phototrophic cells which have the ability to take up dissolved organic substrates as a carbon or nitrogen source (Linares & Sundback 2006). L aboratory studies have shown th a t the growth of a num ber of benthic microalgae (including C. closterium) was enhanced by 127 Chapter 5 addition of dissolved organic substrates, ranging from monomeric sugars to complex organic molecules (Hellebust & Lewin 1977; T uchm an et al. 2006). T he im portance of m ixotrophic grow th in the nutritional ecology of benthic microalgae is alm ost unexplored. O ur results indicate th at mixotrophic capacities of microalgae can cause facilitative interactions, and th a t these interactions can contribute to the observed positive effects of biodiversity on biomass production in intertidal m icrophytobenthic communities. A c k n o w le d g e m e n t s This research was supported by grants from th e F und for Scientific Research, Flanders (Belgium) in the framework of the Flem ish-Dutch C ollaboration on M arine Research (VLANEZO; G .0630.05), by the BOF project GOA 01GZ0705 (G hent University) and by FW O project G.0222.09N. W e wish to th an k the two anonymous referees for their helpful comments. R e fe r e n c e s A rar, E. J. & Collins, G. B. 1997. M ethod 445.0. In vitro D eterm ination of Chlorophyll a and Pheophytin a in M arine and Freshw ater Algae by Fluorescence. National Exposure Research Laboratory Office of Research and Development. U.S. Environm ental P rotection Agency, C incinnati, OH. Bertness, M. D. & Leonard, G. H. 1997. T he role of positive interactions in communities: Lessons from intertidal habitats. Ecology 78:1976-89. Bracken, M. E. S., Friberg, S. E., Gonzalez-Dorantes, C. A. &; Williams, S. L. 2008. F unctional consequences of realistic biodiversity changes in a m arine ecosystem. Proceedings o f the National A cadem y o f Sciences of the United States of Am erica 105:924-28. 128 Diversity-Productivity in benthic diatom biofilms Cardinale, B. J., Nelson, K. & Palm er, M. A. 2000. Linking species diversity to the functioning of ecosystems: on th e im portance of environm ental context. Oikos 91:175-83. Cardinale, B. J., Palm er, M. A. & Collins, S. L. 2002. Species diversity enhances ecosystem functioning through interspecific facilitation. N ature 415:426-29. Cardinale, B. J., Srivastava, D. S., Duffy, J. E., W right, J. P ., Downing, A. L., Sankaran, M. & Jouseau, C. 2006. Effects of biodiversity on the functioning of trophic groups and ecosystems. Nature 443:989-92. Cook, P. L. hi., Revill, A. T., B utler, E. C. V. & Eyre, B. D. 2004. C arbon and nitrogen cycling tem perate A ustralian estuary. on in tertidal m udflats of a II. Nitrogen cycling. Marine Ecology-Progress Series 280:39-54. Decho, A. W . 2000. Microbial biofilms in intertidal systems: an overview. C ontinental Shelf Research 20:1257-73. Drake, J. M. 2003. W hy does grassland productivity increase w ith species richness? Disentangling species richness and composition with tests for overyielding and supervielding in biodiversity experim ents. Proceedings o f the Royal Society o f London Series B-Biological Sciences 270:1713-19. Fargione, J., Tilm an, D., Dybzinski, R., HilleRisLambers, J., Clark, C., Harpole, W. S., Knops, J. M. H., Reich, P. B. & Loreau, M. 2007. From selection to com plem entarity: shifts in the causes of biodiversity-productivity relationships in a long-term biodiversity experim ent. Proceedings Sciences 274:871-76. o f the Royal Society B-Biological Forster, R. M., Creach, V., Sabbe, K., Vyverman, W . & Stal, L. J. 2006. Biodiversity-ecosystem function relationship in m icrophytobenthic diatoms of th e W esterschelde estuary. Marine Ecology-Progress Series 311:191-201. Fridley, J. D. 2001. T he influence of species diversity on ecosystem productivity: how, where, and why? Oikos 93:514-26. Giller, P. S., Hillebrand, H., Berninger, U. G., Gessner, M. O., Hawkins, S., Inchausti, P ., Inglis, C., Leslie, H., M almqvist, B., Monaghan, M. T ., Morin, P. J. & O'M ullan, G. 2004. Biodiversity effects on ecosystem functioning: emerging issues and their experim ental test in aquatic environments. Oikos 104:423-36. 129 Chapter 5 Guillard, R.. R. L. 1975. Culture of phj'toplankton for feeding marine invertebrates. In: Smith, W . L. & Chanley, M. H. [Eds.] Culture o f M arine Invertebrate Anim als. Plenum Publishing Corporation, New York, pp. 29-60. Hector, A., Bazeley-W hite, E., Loreau, hi., Otway, S. & Schmid, B. 2002. Overyielding in grassland communities: testing the sampling effect hypothesis with replicated biodiversity experiments. Ecology Letters 5:502-11. Hellebust, J. A. & Lewin, J. 1977. H eterotrophic nutrition. In: Werner, D. [Ed.] The Biology of Diatoms. Botanical Monographs. U niversity of California Press, Berkeley, pp. 169-97. Hillebrand, H., Durselen, C. D., Kirschtel, D., Pollingher, U. & Zohary, T . 1999. Biovolume calculation for pelagic and benthic microalgae. Journal o f Phycology 35:403-24. Hodgson, D. J., Rainey, P. B. & Buckling, A. 2002. Mechanisms linking diversity, productivity and invasibility in experim ental bacterial communities. Proceedings of the Royal Society o f London Series B-Biological Sciences 269:2277-83. Hooper, D. U., Chapin, F. S., Ewel, J. J., Hector, A., Inchausti, P., Lavorel, S., Lawton, J. H., Lodge, D. M., Loreau, M., Naeem, S., Schmid, B., Setala, H., Sym stad, A. J., Vanderrneer, J. & W ardle, D. A. 2005. Effects of biodiversity on ecosystem functioning: A consensus of current knowledge. Ecological Monographs 75:3-35. Hooper, D. U. & Dukes, J. S. 2004. Overyielding am ong plant functional groups in a long-term experim ent. Ecology Letters 7:95-105. Hooper, D. U. & Vitousek, P. hi. 1997. T he effects of plant composition and diversity on ecosystem processes. Science 277:1302-05. Huston, M. A. 1997. Hidden treatm ents in ecological experiments: Re­ evaluating th e ecosystem function of biodiversity. Oecologia 110:449-60. Jiang, L. 2007. Negative selection effects suppress relationships between bacterial diversity and ecosystem functioning. Ecology 88:107585. Jum pponen, A., Hogberg, P ., Huss-Danell, K. & M ulder, C. P. H. 2002. Interspecific and spatial differences in nitrogen uptake in m onocultures and two-species m ixtures grasslands. Functional Ecology 16:454-61. 130 in north European Diversity-Productivity in benthic diatom biofilms Kaeberlein, T., Lewis, K. & Epstein, S. S. 2002. Isolating "uncultivable" microorganisms in pure culture environment. Science 296:1127-29. in a sim ulated natural K ahm en, A., Renker, C., Unsicker, S. B. & Buchm ann, N. 2006. Niche com plem entarity for nitrogen: An explanation for the biodiversity and ecosystem functioning relationship? Ecology 87:1244-55. Linares, F. & Sundback, K. 2006. Uptake of dissolved free amino acids (DFAA) by m icrophytobenthic communities. Aquatic Microbial Ecology 42:175-86. Loreau, LI. 1998. Separating sam pling and other effects in biodiversity experiments. Oikos 82:600-02. Loreau, M. & Hector, A. 2001. P artitioning selection and com plem entarity in biodiversity experiments. Nature 412:72-76. M ann, D. G. & Chepurnov, V. A. 2004. W h at have th e Romans ever done for us? T he past and future contribution of culture studies to diatom system atics. Nova Hedwigia 79:237-91. M ulder, C. P. H., Uliassi, D. D. & Doak, D. F. 2001. Physical stress and diversity-productivity relationships: T he role of positive interactions. Proceedings o f the National Academ y of Sciences of the United States o f A m erica 98:6704-08. Petchey, O. L., Morin, P. J., Hulot, F. D., Loreau, M., M cGrady-Stced, J. & Naeem, S. 2002. C ontributions of aquatic model systems to our understanding of biodiversity and ecosystem functioning. In: Loreau, M., Inchausti, P. & Naeem, S. [Eds.] Biodiversity and Ecosystem Functioning. Oxford University Press, Oxford, UK, pp. 127-38. R Development Core Team 2005. R: A Language and Environm ent for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. Reusch, T. B. H., Ehlers, A., Hammerli, A. & W orm , B. 2005. Ecosystem recovery after clim atic extremes enhanced by genotypic diversity. Proceedings o f the National Academy o f Sciences o f the United States of A m erica 102:2826-31. Sabbe, K. & Vyverman, W. ‘1991. D istribution of benthic diatom assemblages in th e W esterschelde (Zeeland, T he Netherlands). Belgian Journal o f Botany 124:91-101. Solan, M., Cardinale, B. J., Downing, A. L., E ngelhardt, K. A. hl., Ruesink, J. L. & Srivastava, D. S. 2004. Extinction and ecosystem function in the m arine benthos. Science 306:1177-80. 131 Chapter 5 Srivastava, D. S. & Vellend, M. 2005. Biodiversity-ecosystem function research: Is it relevant to conservation? Annual Review of Ecology Evolution and System atics 36:267-94. Sundback, K., Miles, A. & Goransson, E. 2000. Nitrogen fluxes, denitrification and the role of m icrophytobenthos in microtidal shallow-water sediments: an annual study. Marine EcologyProgress Series 200:59-76. Tem perton, V. M., Mwangi, P. N., Scherer-Lorenzen, M., Schmid, B. & Buchmann, N. 2007. Positive interactions between nitrogen-fixing legumes and four different neighbouring species in a biodiversity experiment. Oecologia 151:190-205. T ittel, J., Bissinger, V., Gaedke, U. V Kamjunke, N. 2005. Inorganic carbon lim itation and m ixotrophic growth in Chlamydomonas from an acidic mining lake. Protist 156:63-75. Tuchm an, N. C., Schollett, M. A., Rier, S. T . & Geddes, P. 2006. Differential heterotrophic utilization of organic compounds by diatom s and bacteria under light and dark conditions. Hydrobiologia 561:167-77. Underwood, G. J. C. & Krom kam p, J. 1999. P rim ary production by phytoplankton and m icrophytobenthos in estuaries. Advances in Ecological Research, Vol 29. pp. 93-153. V an De Koppel, J., Herman, P. M. J., Thoolen, P. & Heip, C. H. R. 2001. Do alternate stable states occur in natural ecosystems? Evidence from a tidal flat. Ecology 82:3449-61. Zavaleta, E. S. & Hulvey, K. B. 2004. Realistic species losses disproportionately reduce grassland resistance to biological invaders. Science 306:1175-77. 132 C h a p te r 6 I n te r fe r e n c e C o m p e t it io n b e t w e e n M a r in e B e n t h ic D ia t o m s B art Vanelslander, Koen Sabbe and Wirn Vyverm an Laboratory of Protistology & Aquatic Ecology, D epartm ent of Biology, Ghent University, Krijgslaan 281-S8, 9000 Ghent, Belgium. Unpublished M anuscript Chapter 6 A b s tr a c t Spatial variation in species composition of benthic microalgae communities is poorly understood. Variation in com m unity composition over large spatial scales is typically related to gradients in environm ental param eters. Y et, a t smaller spatial scales biofilms of microalgae often show patchy distribution p attern s even when there is little or no obvious abiotic heterogeneity. W hile it can be envisaged th a t colonisation dynamics and local biotic interactions are able to generate such m icropatchiness, little is know about the nature and im portance of these mechanisms. In this study we use co-culture experim ents to dem onstrate th a t estuarine benthic diatom s differ strongly in their capacity for interference com petition. W e show th a t cell cultures of the marine benthic diatom N. cf.pellucida exude m etabolites w ith strong allelopathic effects. All nine com petitor species tested were inhibited in their growth and some in their photosynthetic efficiency as well. In addition, we show reciprocal, density dependent allelopathic interactions between N. cf.pellucida and two other m arine benthic diatom species, Entomoneis paludosa and Stauronella sp. O ur results suggest th a t allelopathic interactions m ight be common in benthic microalgal communities and m ay explain small -scale spatial distribution patterns observed in nature. 134 Interference competition in benthic diatoms I n t r o d u c t io n E stuarine intertidal m udflats are characterized by steep gradients in light, n u trien ts and oxygen and hence there is strong com petition for lim iting resources among m icrophytobenthic algae (Adm iraal, 1984). In tem perate regions, the intertidal m icrophytobenthos is dom inated by diverse diatom communities. These diatom assemblages display pronounced spatial and tem poral variation in species composition. Environm ental param eters such as sedim ent type, tem perature, light, salinity, am m onium concentration, etc explain m uch of the large-scale rates of com m unity turn-over in m icrophytobenthos (T hornton et al., 2002, Du et al., 2009, Underwood, 1994). However, a t centim etre scales, th e biom ass and species composition of intertidal benthic diatoms sometimes display spatial p attern s (Shaffer & Onuf, 1985, de Brouwer et al., 1999), w ith different species showing a com plem entary spatial arrangem ent w ith non-overlapping areas of maxim al density (Saburova et a l, 1995). T h e negative correlation between the abundances of different species could be due to microscale h ab itat heterogeneity a n d /o r biological interactions, including species specific grazing (Sm ith et al., '1996, H agerthey et al., 2002, Hamels et a l, 2004) and interspecific competition. Evidence is accum ulating th a t m icroalgae are able to engage in interference com petition as a means to acquire resources (Gross, 2003, Legrand et a l, 2003). In phytoplankton, density dependent allelopathy, the release of chemicals th a t inhibit the growth or survival of com peting species, has been shown to be an im portant determ inant of species composition and succession in phytoplankton (Keating, 1977, V ardi et a l, 2002, Kubanek et a l, 2005), and affects the initiation a n d /o r continuation of plankton blooms (Sm avda, 1997, Legrand et al., 2003, Prince et a l, 2008a). Such chemically m ediated interference com petition has been dem onstrated for phytoplankton tax a from groups as divergent as dinoflagellates, chlorophytes, diatom s and cyanobacteria (Gross, 2003, Legrand et al., 2003, Poulson et a l, 2009). In m any cases, the chemical nature of allelopathic compounds is unknown, b u t several modes of action of allelochemicals on susceptible target cells have been dem onstrated. These include inhibition of Photosystem II efficiency (Gross, 2003, Prince et ah, 2008a), m em brane damage (Legrand et al., 2003), inhibition of enzymes (Sukenik et a l, 2002), reduced m otility (Uchida et a l, 1999) and 135 Chapter 6 oxidative dam age (Legrand et al., 2003, Prince et al., 2008a, Poulson et al., 2009). In benthic phototrophic biofilms, the intim ate association and high density of cells enables strong chemical com m unication and cell-cell interactions between microbial cells (Decho, 2000). Allelopathic interactions have been dem onstrated for several benthic cyanobacteria (Mason et a l, 1982a, Gross et a l, 1991, Ju ttn e r, 1999, Gross, 2003), but there is less evidence for eukaryotic benthic microalgae. De Jong and Adm iraal (1984) observed th a t cells of the estuarine benthic diatom Cylindrotheca closterium died in m ixted cultures w ith Entomoneis cf. paludosa. A nother m arine diatom , Haslea ostrearia, produces a blue-green polyphenolic pigment, marennine, th a t inhibits the growth of naturally co-occurring microalgae (Pouvreau et a l, 2007). Leflaivc and Ten-Hage (2009) showed th a t menthanolic cell extracts (so not only exuded m etabolites) of Uronema confervicolum and Desmodesmus quadrispina inhibited the growth of several microalgae. In this study we docum ent th a t the diatom N itzschia cf. pellucida inhibits th e growth of several key epipsam m ic and epipelic diatom species of intertidal m icrophytobenthos of the Scheldt E stuary. W e further show th e occurrence of dependent m utual allelopathic interactions between N. pellucida and two other marine benthic diatom species, Entomoneis paludosa and Stauronella sp. M a t e r ia l a n d M e t h o d s S tr a in is o la tio n a n d c u ltu r e c o n d itio n s All diatom strains were isolated from the ‘•Rammekenshoek” intertidal m udflat in the Westerschelde E stuary, T he Netherlands (51°26’50” N, 3°38’38” E) on M arch 03, 2009 except CCY 9601and IID03 which originate from Ems Dollard (Holland) and Doei (Belgium). Voucher slides of the cultures used for the experim ents are kept in the L aboratory of Protistology and A quatic Ecology, G hent University, Belgium. The identification of the diatom strains was based on K ram m er and LangeB ertalot (1986-1991). 136 Interference competition in benthic diatoms Clonal cultures were established as described in Chepurnov et al. (2002). C ulture medium was composed of filtered and autoclaved North Sea seaw ater enriched w ith f/2 nutrients (Guillard, 1975). Clonal cultures were m aintained in a clim ate room a t 18 ± 1 °C and illum inated by coolwhite fluorescent lamps at a rate of 50 pmol photons m ' 2 s' 1 w ith a lig h t/d ark cycle of 12/12 hours. T he experiments described below were performed under the sam e conditions. C o - c u ltu re e x p e r im e n ts Prelim inar)' experiments w ith co-cultures of diatom species revealed th at the diatom Nitzschia cf. pellucida exerted strong adverse effects on other diatom species. We therefore focused on the grow th interactions between N. cf. pellucida and 9 benthic diatom species belonging to various genera ( Gyrosigma sp, Navicula arenaria Donkin, Nitzschia sp., Stauronella sp., Cylindrotheca fusiform is Reim ann & Lewin strain CCY 9601, Cylindrotheca fusiform is (Ehrenberg) Reimann &: Lewin strain IID03, Opephora sp, Amphora sp, and Leyanella arenaria Hasle, von Stosch & Syvertsen). Com petition experim ents were performed in polystyrene 24well cell culture plates (Greiner Bio-One, Frickenhausen, Germany) containing 2.0 mL f/2 culture medium. Each species was inoculated a t a cell density of ~ 5,000 cells mL 1 resulting in an initial density of ~ 50 cells m m '2. Uni-algal treatm ents were included as control and inoculated a t 10,000 cells mL ‘. Cells for inoculations were obtained from monoclonal, exponentially growing cultures. Each treatm ent was replicated four times. T he culture medium was renewed daily (1.0 mL of culture medium was replaced w ith 1.0 mL of double strength f/2 medium) to minimise nutrient lim itation and hence resource competition for nutrients. The cell density of each species in all replicates was m onitored daily using an inverted microscope (Axiovert 135 Zeiss microscope, Jena, Germany) by counting a m inimum of 300 cells per replicate. G row th rate during the exponential phase (4-5 days) was calculated as the slope of the linear regression of log2 transform ed cell densities versus tim e for individual cultures. T o assess the im portance of direct cell contact for allelopathic interactions, we co-cultured Navicula arenaria, Cylindrotheca fusiform is IID 0 3 , Gyrosigma sp. (three of the m ost susceptible species, see below) and Stauronella sp. together w ith N. cf. pellucida b u t separated from each other by a. 1 pm pore size m em brane filter using cell culture inserts (Thin 137 Chapter 6 C ert 12 well plates, Greiner Bio-One, Frickenhausen, Germ any). We inoculated 20,000 cells of each species (~ 50 cells/m m 2 in the outer cham ber and ~ 177 cells/m m 2 in the inner cham ber). N. cf. pellucida cells were cultured in the outer cham ber, th e second species in the inner chamber. As a control, we replaced th e N. cf. pellucida culture with fresh F /2 medium. Each treatm ent was replicated four times. T he culture m edium was renewed daily (2.0 mL of double strength f/2 medium). We m onitored growth and photosynthetic efficiency by pulse am plitude m odulated (PAM ) fluorescence (MAXI Im aging PAM fluorometer, Walz, Germ any). We used the m axim um quantum yield of Photosystem II (PSII) as a proxy for photosynthetic efficiency (Krom kam p et al., 1998). T his was measured as F v : Fm, w ith F v= F,„- Fo (Parkhill et al., 2001). F,„ is the maximum fluorescence emission level in the dark measured with a satu ratin g pulse of light (emission peak a t 450 nm, 2700 pmol photons.nr 2s '\ 800 ms). The initial fluorescence, Fo was used as a proxy for biomass (Honeywill et al., 2002). From prelim inary experim ents and from th e experim ent shown in Fig. 1, we suspected reciprocal allelopathic interactions for the com binations of N. cf. pellucida w ith E. paludosa and Stauronella sp. Therefore we conducted bi-algal culture experim ents with different cell densities and ratio’s of these com peting species. W e inoculated these species with total initial cell densities of 10,000 and 30,000 cells mL ' 1 and w ith the initial ratio’s between the two species of 1:4; 1:1, 4:1. R e s u lt s Between 1 and 4 days, th e growth of the 9 tested benthic diatom species was first suppressed and then arrested in the presence of Nitzschia cf. pellucida and eventually all cells of these species suffered cell lysis and death (Fig. 1). The cell density a t which Nitzschia cf. pellucida was inhibiting and lethal was species specific. Gyrosigma sp., Navicula arenaria and Cylindrotheca fusiform is strain IID 03 were the most sensitive strains as they were inhibited and died after 1 day of exposure to relatively low densities of N. cf. pellucida (between ~ 7500 to 9500 cells m L '1). Entomoneis paludosa, Cylindrotheca fusiform is strain CCY 9601, Stauronella sp., and Am phora sp. were inhibited after 2 to 4 days 138 Interference competition in benthic diatoms exposure (at N. cf. pellucida densities of between ~ 30,000 ariel 150,000 cells mL-1) and died soon after, while Leyanella arenaria and Opephora spp. were more resistant and died gradually w ith an almost complete extinction after approxim ately 1 0 days. T he growth ra te of N. cf. pellucida did not differ significantly in the presence or absence of other species (paired two-tailed t-test, p > 0.1), except when grown together w ith Stauronella sp. (p = 0.008), which significantly decreased th e grow th of N. cf. pellucida b u t still died after 4 days. Gyrosigma sp. Nitzschia+ s e c o n d s p e c i e s Nitzschiam o n o c u l t u r e S p e c ie s X + N itzschia S p e c i e s Xm o n o c u l t u r e Stauronella sp. . C. fusiformis CCY9601 p C. fusiformis IID03 A Ampliora sp. o i 2 3 -! s Tim e (d) F i g u r e 1. G r o w t h i n t e r a c t i o n s b e t w e e n d ia to m species belonging t o t r ia n g le s , dashed lines) and 8 N itzschia cf. pellucida a n d 9 o t h e r b e n t h i c different genera. S pecies w ere cu ltu red tog eth er (grey open circle, solid lines) a l o n e (g re y w ith N. cf. pellucida (filled b l a c k s q u a r e , solid lines). N. cf. pellucida m o n o c u l t u r e s w e r e in c lu d e d ( o p e n b lack s q u a r e s , d a s h e d lines). T a r g e t sp e c ie s w e r e G yrosigm a sp . (A ), N avicula arenaria ( B ) , E n to m o n e is paludosa ( C ) , Stauronella sp . ( D ) , C ylindrotheca fusiform is CCY 9601 (E), C. fu sifo rm is IID03 ( F ) , O pephora s p ( G ), A m p h o ra s p ( H ) a n d Leyanella arenaria (I) E rro r b a r s a r e s t a n d a r d d ev iatio n s. 139 Chapter 6 T hin C ert experim ents w ith selected species com binations showed broadi}' similar, b u t on average less pronounced effects of N. cf. pellucida. T h e growth of N. arenaria was significantly affected after 4 dat's; after 6 days biomass estim ated by fluorescence was 39.2% lower th a n in monocultures, a t a N. cf. pellucida cell density of -180,000 cells/mL. The photosynthetic efficiency (Fv : F,„) showed only a weak decrease (-17 %). Cells of C. fusiform is strain IID03 were affected after 4 days and after 5 days biomass was 56 % lower than in m onocultures (a t N. cf. pellucida cell densities of - 160,000 cells mL’1) T he photosynthetic efficiency decreased w ith 52.0 % after 5 days com pared to the m onocultures. The growth of Stauronella sp. was already affected after 2 days and after 5 days biomass was 36.9% lower th a n in m onocultures (a t a N. cf. pellucida cell density of - 160,000 cells m L'1). Its photosynthetic efficiency however was unaffected. T he growth and photosvnthetic efficiency of Gyrosigma sp. were not affected a t all after 6 days indirect exposure to N. cf. pellucida cells. C. clo steriu m S ta u ro n ella sp. p G y ro sig m a sp. Time (d) F i g u r e 2. C o - c u l t i v a t i o n o f N. cf. pellucida w i t h 4 o t h e r d i a t o m s p e c i e s b u t s e p a r a t e d by a 1 p m m e m b r a n e filter . B i o m a s s ( A - D ) ( m e a s u r e d a s initial f l u o r e s c e n c e FO) a n d p h o t o s y n t h e t i c efficien c y ( E - H ) ( F v : F m m e a s u r e d by P A M f l u o r e s c e n c e ) o f Navicula arenaria ( A , E ) , C ylindrotheca fusiform is I I D 0 3 ( B , F ), Stauronella sp . (C , G) a n d Gyrosigm a sp . (D , H) in m o n o c u l t u r e s ( t r i a n g l e s a n d d a s h e d lines) a n d t o g e t h e r w i t h N. cf. pellucida b u t s e p a r a t e d by a 1 p m p o r e size m e m b r a n e ( s q u a r e s a n d solid lines). Error bars a r e s ta n d a r d deviations. 140 Interference competition in benthic diatoms Based on the N. cf. pellucida vs Stauronella sp. co-culture experim ent shown in Fig. 1 and on prelim inary experim ents w ith E. paludosa and N. cf. pellucida, we suspected the occurrence of reciprocal, density-dependent allelopathic interactions. W hen we varied the (relative) startin g densities of N. cf. pellucida an d Stauronella sp., we indeed observed reciprocal inhibition between both species and this depended strongly on th eir respective cell concentrations (Fig. 3 and 4). W hen Stauronella sp. cell num bers reached ~ 100,000 cells m L'1, N. cf. pellucida grow th was suppressed. Yet, when N. cf. pellucida reached ~ 80.000 cells mL'1, Stauronella sp. cell num bers declined. Similar reciprocal densitydependent effects were seen between N. cf. pellucida and E. paludosa. E. paludosa cell num bers declined when N. cf. pellucida reached cell densities of ~ 50,000 - 70,000 cells m L'1. On the other hand, when E. paludosa reached a cell density of ~ 100,000 cells m L'1, growth of N. cf. pellucida was suppressed, again in the presence of an adequate nutrient supply. F ig u re 3. G row th interactions betw een N itzsch ia cf. pellucida a n d E n to m o n eis p a lu d o sa a t d i f f e r e n t initial cell d e n s itie s . S p e c i e s w e r e c u l t u r e d a l o n e ( d a s h e d lines) a n d t o g e t h e r (solid lines). Cell d e n s i ti e s o f N. cf. p e llu c id a r e p r e s e n t e d by b l a c k lines, E. p aludosa cell d e n s i t i e s r e p r e s e n t e d by g r e y lines. ( A - C ) : t o t a l initial cell d e n s i t y w a s 1 0 , 0 0 0 cells m L '1 w i t h N. cf. pellucida : E. paludosa initial cell d e n s i t y r a t i o ’s o f 1:4 (A ) ; 1:1 ( B ) , 4 : 1 ( C ) . ( D - E ) t o t a l initial cell d e n s i t y a t 3 0 , 0 0 0 cells m L '1 w i t h N. cf. pellucida : E. p a lu d o sa initial cell d e n s i t y r a t i o ’s o f 1 : 4 ( D ) ; 1:1 ( E ) , 4:1 ( F ) . E r r o r b ars a re sta n d a rd deviations. 141 Chapter 6 4.0 4.0 4.0 P. 3.0 3.0 3.0 2.0 2.0 £ 1.0 0 0 1 2 3 4 5 0 1 2 3 4 5 T im e (d) F i g u r e 4. G r o w t h i n t e r a c t i o n s b e t w e e n N itzsch ia cf. pellucida a n d Sta u ro n ella sp. a t d i f f e r e n t initial cell d en s ities . S p e c i e s w e r e c u l t u r e d a l o n e ( d a s h e d lines) a n d t o g e t h e r (solid lines). Cell d e n s i ti e s o f N. cf. pellucida r e p r e s e n t e d by b lack lines, Stauronella sp . cell d e n s i t i e s r e p r e s e n t e d b y g r e y lines. ( A - C ) : t o t a l initial cell d e n s i t y w a s 1 0 ,0 0 0 ce lls m L - 1 w i t h N. cf. pellucida : S tauronella s p . initial cell d e n s i t y r a t i o 's o f 1:4 (A); 1:1 ( B ) , 4 :1 ( C ) . E rro r b a r s a r e s t a n d a r d d e v i a t i o n s . D is c u s s io n W e show th a t the diatom Nitzschia cf. pellucida inhibits the growth of and ultim ately kills all nine tested benthic diatom species. These com petitors naturally co-occur w ith N. cf. pellucida and m ost of them are common in European intertidal m udflats. Several of the diatom species tested ( Gyrosigma sp., N. arenaria, C. fusiform is, E. paludosa) were inhibited a t relatively low cell densities (~ 8 , 0 0 0 - 1 0 , 0 0 0 cells m l / 1 equivalent w ith ~ 8,000 - 10,000 cells.cm'2) of N. cf.pellucida. It seems unlikely th a t nutrient depletion would cause the observed growth inhibition as m ost inhibition and cell death occurs already in th e first 3 days (fig. 1). In contrast, cells of N. cf. pellucida in the co-cultures display exponential growth during the first 5 days, implying nu trien t replete conditions during the first days of the co-culture experiments. T he observed p attern s of allelopathic interactions suggest th a t in natu ral epipelic diatom communities these negative interactions may operate and influence com m unity composition, given th a t diatoms can reach to tal cell densities of 1.IO6 cells.cm ' 2 in estuarine mudflats (A dm iraal et al., 1982). W hereas N. pellucida is a cosmopolitan species inhabiting m arine coasts and is commonly found worldwide (Kram m er & Lange-Bertalot, 1986-1991), it is currently unknown whether all strains 142 Interference competition in benthic diatoms (or lineages) of this morphospecies produce allelochemicals and thus how widespread this mechanism occurs. However, effects of co-cultivation in different com partm ents separated by a ly m pore size m em brane are less pronounced th an in co­ cultures where cells of the two species were completely mixed. This may indicate th a t close cell-cell contact or contact with the extracellular polymeric saccharides (EPS) m atrix enhances th e allelopathic interactions a n d /o r th a t the allelopathic compound is volatile an d /o r little soluble in w ater. Close proxim ity of com peting algae and cell-cell contact may have a large contribution to the effectiveness of allelochemicals since toxin concentration in close proxim ity of a cell can be m any times higher than further away from th e cell (Jonsson et a l, 2009). Transfer of more hydrophobic allelochemicals by direct cell-cell contact is highly conceivable in microalgal biofilms where cells are densely packed in a polymeric m atrix (Decho, 2000). Several surface-associated allelopathic interactions have been dem onstrated for benthic cyanobacteria such as Fischerella sp. (Gross, 1999) and Scytonema hofm anni (Mason et a l, 1982b), b u t only very few for eukaryotic benthic microalgae. Interestingly, three of th e five m ost resistant diatom species were nonmotile (Leyanella arenaria, Am phora sp. and Opephora sp.) epipsammic diatom s which live attached to sand grains. In contrast, th e more susceptible diatom species were all epipelic diatom s which exhibit a motile lifestyle and thus have higher probabilities for physical encounters w ith cells of N. cf. pellucida but are also able to escape them. N. cf. pellucida exudates can diminish the photosynthetic efficiency of competing algae, as was shown in our T hin C ert co­ cultivation experiments. Several studies already dem onstrated decreased PSII efficiency due to allelopathy (Legrand et al., 2003, Prince et al., 2008a), but whether PSII is really the target of allelopathic compounds or if decreased efficiency is merely a sym ptom of deteriorating cell functioning is usually unknown. Sukenik et al. (2002) for instance showed th a t M icrocystis exudates inhibited photosynthesis of Peridinium gatunense. This was not the result of direct effects on the photosystems, but due to a strong suppression of internal carbonic anhydrase which caused a reduced availability of CO 2 and thus a reduced photosynthesis. Allelochemicals can be very effective, b u t th e target cells are not necessarily suffering passively and m ay try to escape through the form ation of tem porary cysts (Uchida et a l, 1999, Fistarol et a l, 2004). C om petitors m ight also counteract allelopathy b}- degrading 143 Chapter 6 allelochemicals (Prince et a l, 2008b) or can be constitutively resistant tow ards specific allelochemicals (Kubanek et al., 2005). Still others can produce their own allelopathic compounds as a response on allelochemicals (Yardi et ah, 2002). Furtherm ore, relative abundance can determ ine the outcome of allelopathic interactions as suggested by our experim ents using different initial densities of N. cf.pellucida and E. paludosa or Stauronella sp. in co-culture experiments. The species which first reached a certain cell density threshold could suppress growth of the other species resulting in considerable m ortality, even with ample n u trient supply. Basically, this phenomenon can be described as a priority effect which is a lasting im pact of the order of arrival of species on the community development (Van Grem berghe et a l, 2009). Priority effects can be caused by two different mechanisms, firstly, a numerical effect in which the first species can reach carrying capacity before other species arrive. Secondly, species can alter their environm ent in a favourable or detrim ental way for later colonizing species (Van Gremberghe et a l, 2009), which is w hat we observed in our culture experiments. O ur observation th a t E. paludosa is able to exude growth inhibiting m etabolites confirms th e preliminary observations by De Jong and Adm iraal (1984) on a E. cf.paludosa strain. Reciprocal, density dependent allelopathic interactions between the planktonic dinoflagellate Peridinium gatunense and th e cyanobacterium M icrocystis sp. in the Sea of Galilee were proposed to prom ote the observed patchy distribution patterns of these species in th e lake (Vardi et al., 2002). Similarly, in m icrophytobenthos such chemical cross-talk may also help to understand observations of patchy spatial occurrence of m icrophytobenthos species at small (cm) spatial scales, and are in agreem ent w ith the findings of Saburova et al (1995) who showed th a t different species showed com plem entary spatial arrangem ent w ith non-overlapping areas of maximal densities, b u t only when threshold densities of interacting species were reached. Overall, we dem onstrate th a t the m arine benthic diatom N. cf.pellucida produces strong allelochemicals th a t kill all tested diatom species. W e further show reciprocal, density dependent allelopathic interactions between N. pellucida and two other m arine benthic diatom species, Entom oneis paludosa and Stauronella sp. O ur results suggest th a t allelopathic 144 interactions m ight be common in benthic microalgal Interference competition in benthic diatoms communities and m ay influence their sm all - scale spatial distribution patterns. C ite d R e fe r e n c e s Admiraal, W. 1984. T he ecology of estuarine sedim ent-inhabiting diatom s. In: Round, F. & C hapm an, G. [Eds.] Progress in phycological research. Biopress, Bristol, pp. 269-322. Adm iraal, W ., Peletier, H. & Zomer, H. 1982. Observations and experim ents on th e population-dynam ics of epipelic diatom s from an estuarine m udflat. Estuarine Coastal and Shelf Science 14:471-87. Chepurnov, V. A., M ann, D. G., Vyverm an, W ., Sabbe, K. & Danielidis, D. B. 2002. Sexual reproduction, m ating system , and protoplast dynam ics of Sem inavis (Bacillariophyceae). Journal o f Phycology 38:1004-19. de Brouwer, J. F. C., Bjelic, S., de Deckere, E. & Stal, L. J. 1999. Interplay between biology and sedimentology in a mudflat (Biezelingse Ham, W esterschelde, T he N etherlands). M eeting on Intertidal Mudflats - Properties and Processes. Plym outh, England, pp. 1159-77. De Jong, L. &; A dm iraal, W . 1984. Com petition between 3 estuarine benthic diatom species in mixed cultures. M arine EcologyProgress Series 18:269-75. Decho, A. W . 2000. Microbial biofilms in intertidal systems: an overview. Cont. Shelf Res. 20:1257-73. Dejong, L. & Adm iraal, W . 1984. Com petition between 3 Estuarine Benthic D iatom Species in Mixed Cultures. M arine EcologyProgress Series 18:269-75. Du, G., Son, hl., Yun, hi., An, S. & Chung, I. K. 2009. hlicrophytobenthic biomass and species composition in intertidal flats of th e Nakdong River estuary, Korea. Estuarine Coastal and Shelf Science 82:663-72. Fistarol, G. O., Legrand, C., R,engefors, K. & Graneli, E. 2004. T em porar)' cyst form ation in phytoplankton: a response to allelopathic com petitors? Environm ental Microbiology 6:791-98. 145 Chapter 6 Gross, E. M. 1999. A llelopathy in benthic and littoral areas: Case studies on allelochemicals from benthic cyanobacteria and submersed m acrophytes. In: Inderjit, Dakshini, K. M. M. & Foy, C. L. [Eds.] Principles and Practices in Plant Ecology: Alíelo chemical Interactions. CRC Press, Boca R aton, pp. 179-99. Gross, E. M. 2003. Allelopathy of aquatic autotrophs. Critical Reviews in Plant Sciences 22:313-39. Gross, E. M., Wolle, C. P. & Ju ttn er, F. 1991. Fischerellin, a new allelochemical from the freshwater cyanobacterium Fischerella muscicola. Journal o f Phycology 27:686-92. Guillard, R. R. L. 1975. Culture of phytoplankton for feeding m arine invertebrates. In: Smith, W . L. k Chanley, M. H. [Eds.] Culture o f M arine Invertebrate Animals. Plenum , New York, pp. 29-60. Hagerthey, S. E., Defew, E. C. & Paterson, D. M. 2002. Influence of Corophium volutator and Hydrobia ulvae on intertidal benthic diatom assemblages under different nutrient and tem perature regimes. M arine Ecology-Progress Series 245:47-59. Hamels, I., Mussche, H., Sabbe, K., M uylaert, K. & Vyverm an, W. 2004. Evidence for constant and highly specific active food selection by benthic ciliates in mixed diatom s assemblages. Limnology and Oceanography 49:58-68. Honeywill, C., Paterson, D. N. & Hagerthey, S. E. 2002. D eterm ination of m icrophytobenthic biomass using pulse-am plitude m odulated m inim um fluorescence. European Journal of Phy cology 37:485-92. Jonsson, P. R., Pavia, H. & T oth, G. 2009. F orm ation of harm ful algal blooms cannot be explained by allelopathic interactions. Proceedings o f the National Academ,y o f Sciences o f the United States o f Am erica 106:11177-82. Ju ttn e r, F. 1999. Allelochemical control of natural photoautotrophic biofilms. In: Keevil, C. W., Godfree, A., Holt, D. & Dow, C. [Eds.] Biofilms in aquatic environment. C hem istry, Cam bridge, pp. 43-50. Royal Society K eating, K. I. 1977. Allelopathic Influence on Blue-Green Sequence in a E utrophic Lake. Science 196:885-87. of Bloom K ram mer, K. & Lange-Bertalot, H. 1986-1991. Bacillariophyceae. In: E ttl, H., Gerloff, J., Heynig, H. & M ollenhauer, D. [Eds.] Süßwasserflora S tu ttg a rt/Je n a . 146 von Mitteleuropa. G ustav Fischer Verlag, Interference competition in benthic diatoms Krom kam p, J., B arranguet, C. & Peene, J. 1998. D eterm ination of m icrophytobenthos PSII quantum efficiency and photosynthetic activity by means of variable chlorophyll fluorescence. M arine Ecology-Progress Series 162:45-55. K ubanek, J., Hicks, M. K., Naar, J. & Villareal, T. A. 2005. Does th e red tide dinoflagellate Karenia brevis use allelopathy to outcompete other phytoplankton? Limnology and Oceanography 50:883-95. Leflaive, J. & Ten-Hage, L. 2009. Allelopathic interactions in benthic biofilms: effects of abiotic conditions on production of and sensitivity to allelochemicals. Journal of the N orth American Benthological Society 28:273-82. Legrand, C., Rengefors, K., Fistarol, G. O. & Graneli, E. A llelopathy in phytoplankton - biochemical, evolutionary aspects. Phycologia 42:406-19. 2003. ecological and M ason, C. P ., Edwards, K. R., Carlson, R. E., Pignatello, J., Gleason, F. K. & Wood, J. M. 1982a. Isolation of chlorine-containing antibiotic from the freshwater cyanobacterium Scytonema hofmanni. Science 215:400-02. blason, C. P ., Edwards, K. R., Carlson, R. E., Pignatello, J., Gleason, F. K. & Wood, J. bí. 1982b. Isolation of chlorine containing antibiotic from the freshwater hofmanni. Science 215:400-02. c}'anobacterium Scytonema Parkhill, J. P ., Maillet, G. & Cullen, J. J. 2001. Fluorescence-based m axim al quantum yield for PSII as a diagnostic of nutrient stress. Journal o f Phy cology 37:517-29. Poulson, K. L., Sieg, R. D. & Kubanek, J. 2009. Chemical ecology of the m arine plankton. Natural Product Reports 26:729-45. Pouvreau, J. B., Housson, E., Le Tallec, L., blorancais, M., Rince, Y., Fleurence, J. & Pondaven, P. 2007. Grow th inhibition of several m arine diatom species induced by the shading effect and allelopathic activity of marennine, a blue-green polyphenolic pigm ent of the diatom Haslea ostrearia (G aillon/B ory) Simonsen. Journal o f Experimental M arine Biology and Ecology 352:212-25. Prince, E. K., Myers, T. L. & Kubanek, J. 2008a. Effects of harm ful algal blooms on competitors: Allelopathic mechanisms of the red tide dinoflagellate 53:531-41. Karenia brevis. Limnology and Oceanography Prince, E. K., Myers, T. L., Naar, J. & Kubanek, J. 2008b. Competing phytoplankton undermines allelopathy of a bloom-forming 147 Chapter 6 dinoflagellate. Proceedings o f the Royal Society B-Biological Sciences 275:2733-41. Saburova, M. A., Polikarpov, I. G. & Burkovsky, I. V. 1995. Spatial stru ctu re of an intertidal sandflat m icrophytobenthic community as related to different spatial scales. M arine Ecology-Progress Series 129:229-39. Shaffer, G. P. & Onuf, C. P. 1985. R educing the error in estim ating annual production of benthic microflora - hourly to monthly rates, patchiness in space and time. M arine Ecology-Progress Series 26:221-31. Sm ayda, T. J. 1997. Harmful algal blooms: Their ecophvsiology and general relevance to phytoplankton blooms in the sea. Limnology and Oceanography 42:1137-53. Sm ith, D., Hughes, R. G. & Cox, E. J. 1996. P redation of epipelic diatom s by th e am phipod Corophium volutator and the polychaete Nereis diversicolor. M arine Ecology-Progress Series 145:53-61. Sukenik, A., Eshkol, R., Livne, A., Hadas, O., Rom, M., Tchernov, D., V ardi, A. & K aplan, A. 2002. Inhibition of grow th and photosynthesis of the dinoflagellate Peridinium gatunense by M icrocystis sp (cyanobacteria): A novel allelopathic mechanism. Limnology and Oceanography 47:1656-63. T hornton, D. C. O., Dong, L. F., Underwood, G. J. C. & Nedwell, D. B. 2002. Factors affecting m icrophytobenthic biomass, species composition and production in th e Colne E stuary (UK). Aquatic Microbial Ecology 27:285-300. Uchida, T., Toda, S., M atsuyam a, Y., Yamaguchi, M., K otani, Y. & Honjo, T. 1999. Interactions between th e red tide dinoflagellates Heterocapsa circularisquama and Gym nodinium m ikim otoi in laboratory culture. Jourval of Experim ental M arine Biology and Ecology 241:285-99. Underwood, G. J. C. 1994. Seasonal and spatial variation in epipelic diatom assemblages in the Severn estuary. Diatom Research 9:451-72. V an Grem berghe, I., Vanormelingen, P ., V an der G ucht, K., Souffreau, C., Vyverm an, W . & De Meester, L. 2009. P riority effects in experim ental populations of th e cyanobacterium Microcystis. Environm ental Microbiology 11:2564-73. 148 Interference competition in benthic diatoms Vardi, A., Schatz, D., Beeri, K., M otro, U., Sukenik, A., Levine, A. h K aplan, A. 2002. Dinoflagellate-cyanobacterium com munication m ay determ ine th e composition of phytoplankton assemblage in a ' m esotrophic lake. Current Biology 12:1767-72. 149 150 C h a p te r 7 T h e “ M o le c u la r T o o th b r u s h ” o f a M icro a lg a : D a ily B u r s ts o f B io g e n ic C y a n o g e n B r o m id e (B r C N ) C o n tr o l B io film F o r m a tio n a r o u n d a M a r in e B e n th ic D ia to m B art V anelslander1, Georg P ohnert2, C arsten P aul2, Jan Grueneberg2, Emily K. Prince2, Jeroen G illard1, Koen Sabbe1 and W im Vyverm an1 1 L aboratory of Protistology & Aquatic Ecology, D epartm ent of Biology, Ghent University, Krijgslaan 281-S8, 9000 G hent, Belgium 2 In stitu te for Inorganic and Analytical Chem istry, Bioorganic Analytics, Friedrich Schiller U niversity of Jena, Lessingstrasse 8, 07743 Jena, Germ any Subm itted m anuscript. Chapter 7 A b s tr a c t T he spatial organization of biofilms is strongly regulated by chemical cues released by settling organisms. Yet, the exact nature of these interactions and the repertoire of chemical cues and signals th a t micro-organisms produce and exude in response to the presence of com petitors remain largely unexplored. Biofilms dom inated by microalgae often show rem arkable, yet unexplained fine-scale patchy variation in species composition. Since this occurs even in absence of abiotic heterogeneity, antagonistic interactions m ight play a key role. Here we show th a t the m arine benthic diatom Nitzschia, cf. pellucida exudes a diverse m ixture of volatile iodinated and brom inated m etabolites including the new natural product cyanogen bromide (BrCN) which exhibits pronounced allelopathic activity. Toxin production is light-dependent w ith a short toxin b urst after sunrise. This labile compound acts as a short-term signal, leading to daily “cleaning'’ events around the algae. W e show th a t allelopathic effects are H 2 O 2 dependent and link BrCN production to haloperoxida.se activity. This novel strategy is a highly effective means of biofilm control and provides an explanation for the poorly understood role of volatile halocarbons from marine algae which contribute significantly to the atm ospheric halocarbon budget. 152 The molecular toothbrush of a microalga I n t r o d u c t io n Biofilm form ation in m arine habitats is a rapid and ubiquitous process and m ost submerged surfaces, natural or man-m ade, are covered with complex microbial communities. Intense efforts are m ade to control biofilm form ation on industrial surfaces such as ship hulls because this biofouling can result in severe economic loss (Yebra et al., 2004). Among the early settlers, microalgae play a key role in the biofilm development and diatom s, especially, are able to settle on even the m ost fouling resistant surfaces (Molino & W etherbee, 2008). In this context it is interesting to observe th a t certain microalgae can obviously control their m icroenvironm ent since the patchy variation in species composition observed around these algae (Shaffer & Onuf, 1985, Saburova et a i, 1995, de Brouwer et a l, 2000) cannot be explained by abiotic heterogeneity or by grazers because the production of m icroalgae in dense biofilms far exceeds th e total consumption, making the effect of grazing limited (Saburova et a l, 1995). This spatial organization of species is characterized by com plementary distribution patterns and negative correlation of species densities (Saburova et a l, 1995). Allelopathic interactions have been suggested as a possible explanation for such observed patchiness (Saburova et a l, 1995). Because biofilms are composed of densely packed cells embedded w ithin a m atrix of exuded polymeric compounds, metabolites produced by any cell can efficiently targ et its neighbours rather th an diffusing into the surrounding water column (Decho, 2000). Studies th a t focused on interspecific interactions between biofilmforming diatom s revealed th a t synergistic (Vanelslander et a l, 2009) and antagonistic (De Jong & Admiraal, 1984, C hapter 6) interactions are common an d can have a strong influence on biofilm performance (Vanelslander et a l, 2009). The underlying chem istry of these interactions is unknown, but several modes of action of allelochemicals on susceptible targ et cells have been dem onstrated, including th e inhibition of photosynthesis (Gross, 2003, Prince et a l, 2008), m em brane damage (Legrand et a l, 2003), inhibition of enzymes (Sukenik et a l, 2002), reduced m otility (Uchida et a l, 1999) and oxidative damage (Legrand et, a l, 2003, Prince et a l, 2008, Poulson et a l, 2009). In this study we selected th e common biofilm forming diatom Nitzschia cf. pellucida due to 153 Chapter 7 th e high allelopathic activity observed in chapter 6 of this PhD . Several N itzschia species are known for their production of volatile halocarbons (Sturges et al., 1993, Moore et a l, 1996, Hill & Manley, 2009) and a first screening revealed th a t the selected alga is also a rich source of such compounds. T he formation of low m olecular weight halogenated m etabolites is widely distributed in macro- and microalgae which contribute significantly to the atm ospheric halocarbon budget (Sturges et al., 1992, C arpenter et a l, 2003, P aul & P ohnert, 2011). Local m axima of volatile halogenated m etabolites are often observed in coastal regions but th e function of these metabolites is poorly understood. Here we directly link th e halocarbon chem istry of microalgae to an allelopathic activity by establishing th a t the novel natural product cyanogen brom ide BrCN is highly inhibitory against com petitors. T his m etabolite is released during a short period after the onset of light in quantities sufficient to kill or inhibit th e growth of competing microalgae. M e th o d s A lg a l s tr a in s a n d c u ltu r e c o n d itio n s W e isolated diatom strains from the “Ram m ekenshoek’' intertidal m udflat in the W esterschelde Estuary, T he N etherlands (51°26’50” N, 3°38’38r E) on M arch 03, 2009. C ultures and perm anent slides of the cultures used for th e experim ents are kept in the Laboratory of Protistology and Aquatic Ecology, G hent University, Belgium. W e established clonal cultures as described in Chepurnov et al. (2002). W e prepared culture medium by filtering and autoclaving North Sea seaw ater enriched w ith f/2 nutrients (Guillard, 1975). W e m aintained clonal cultures in a clim ate room a t 19 ± 1 °C and illum inated by cool-white fluorescent lamps a t a rate of 50 pmol photons m'2 s '1 w ith a lig h t/d ark cycle of 12/12 hours. Iodine enriched culture medium was composed of ESAW artificial seawater (Berges et a l, 2001) supplem ented w ith 45 pM KI. C ulture medium enriched w ith 13C was based on ESAW artificial seawater w ith 2.07 mM N aH 13C 0 3. 154 The molecular toothbrush of a microalga B i-a lg a l c u ltu re e x p e r im e n ts W e examined the growth interactions between N itzschia cf. pellucida and 3 benthic diatom species belonging to various genera (Navicula arenaria Donkin, Cylindrotheca closterium (Ehrenberg) Reim an & Lewin, and E ntom oneis paludosa (W. Smith) Reimer using bialgal cultures. We performed growth experim ents in polystyrene 24-well cell culture plates (Greiner Bio-One, Frickenhausen, Germany) containing 2.0 inL f/2 culture medium. We inoculated each species a t a cell density of ~ 5,000 cells m l / 1 resulting in an initial density of ~ 50 cells m nr2. We included m onoculture treatm ents (inoculated at 10,000 cells mL ’) as a control. We harvested cells for inoculations from monoclonal, exponentially growing cultures. W e replicated each treatm ent four times. We daily renewed the culture medium (1.0 mL of double strength f/2 medium) to avoid n u trien t lim itation and hence resource com petition for nutrients. We daily m onitored the cell density of each replicate using an inverted microscope (Axiovert 135 Zeiss microscope, Jena, Germany) by counting a m inim um of 300 cells per replicate. E ffe c ts o f s p e n t m e d iu m W e prepared N. cf. pellucida spent medium by filtering exponentially growing cultures (200,000 - 250,000 cells m L'1) on G F /F filters (W hatm an, M aidstone, UK) and subsequently on 0.2 pm membrane filters (Acrodisc, Pali Life Sciences, Ann Arbor, MI, USA). W e enriched this filtered spent medium w ith f/2 nutrients and then applied it to cells of C. closterium, Stauronella sp. and E. paludosa. In parallel, we cultured cells of these species w ith f/2 enriched seaw ater as a control. We m onitored the effect of N. cf. pellucida spent m edium by m easuring the biomass and photosynthetic efficiency using Pulse-am plitude-m odulated (PAM ) fluorescence. We used PAM fluorescence (MAXI Imaging PAM fluorometer, Walz, Germany) to determ ine the m axim um quantum yield of photosystem II (PSII), which is frequently applied as a proxy for photosynthetic efficiency (Krom kam p et a l, 1998). W e determined photosynthetic efficiency as F v : F m, where F. = F m-Fo. Fm is the m axim um fluorescence emission level in the dark m easured w ith a satu ratin g pulse of light (emission peak at 450 nm, 2700 pinoi photons nr 155 Chapter 7 V , 800 ms). W e used th e initial fluorescence F0 as a proxy for biomass (Honeywill et al., 2002). L iq u id -L iq u id e x tr a c tio n o f a lle lo p a th ic c o m p o u n d s a n d G C -M S a n a ly sis W e filtered 150 mL N. cf. pellucida spent m edium (G F /F , W hatm an, M aidstone, England) and extracted it 3 times w ith 50 mL ethylacetate. W e dried the extract w ith anhydrous sodium sulfate and concentrated it a t reduced pressure. W e perform ed GC-EI-MS m easurem ents of the concentrated extracts w ith a W aters G C T premier (W aters, M anchester, UK) time of flight mass spectrom eter (MS) coupled to an Agilent 6890N gas chrom atograph (GC) equipped w ith a DB-5ms column (30 m x 0.25 m m internal diam eter, 0.25 pm film thickness and 10 m D uraguard pre­ column, Agilent, W aldbronn, Germ any). T he carrier gas was Helium 5.0 w ith a constant gas flow of 1.0 mL m in 1. T he source tem perature was at 300 °C w ith an electron energy of 70 eV. T he column was held a t 40 °C for 2 min, heated up from 40 °C to 150 °C with 5 °C m in'1, from 150 °C to 280 °C with a ra te of 20 °C m in 1 and held for 4.5 min. T he samples were injected in splitless mode. V o la tile o rg a n ic c o m p o u n d s We used solid phase m icroextraction (SPM E, C arboxen/ Polydimethylsiloxane, Supelco, Bellefonte, PA) to measure the volatile com pounds em itted by N. cf. pellucida cultures. W e exposed the SPME fiber for 30 min to the headspace of 82 mL m agnetically stirred filtrate (G F /F filters) of N. cf. pellucida. We used C DCh (Eurisotop, Gif-surY vette, France) (at 1.24 pM) as an internal standard to enable quantification. We analyzed the extracted compounds using the GC-MS described above. We calibrated the SPM E extracting by m easuring a dilution series of commercially available BrCN (Sigma Aldrich, Germany) v.’ith CDCI3 as an internal standard. We determ ined BrCN concentrations by calculating th e GC peak area using stand ard program peak detection. W e normalized the BrCN peak area to the CDCh peak area and used the calibration curve to calculate th e BrCN concentrations in the N. cf. pellucida cultures. 156 The molecular toothbrush of a microalga B io a ssa y s W e used bioassays to detect the presence of allelochemicals in N. cf. pellucida spent medium and used E. paludosa as the susceptible strain. W e inoculated cells of exponentially growing E. paludosa in N. cf. pellucida spent medium a t a final density of 2,000 cells mL-1. After two hours exposure to spent medium, we checked for the occurrence of resting cell formation and cell lysis using an inverted microscope (counting min 300 cells per replicate). To check the occurrence of allelochemicals in the ethylacetate extracts, we concentrated the extracts using reduced pressure and finally dried the ex tract under a nitrogen enriched atm osphere. W e dissolved the residue in acetone and added to an E. paludosa culture w ith 2,000 cells mL'1 a t a final concentration of 1% acetone. This acetone concentration did not affect cell integrity itself within the tim efram e of the bioassay. We tested the toxicity of nine halogenated compounds on the diatom E. paludosa a t concentrations of 0.1, 1, 5 and 10 pM (Fig. 4). We first dissolved the halogenated compounds in acetone and added to an E. paludosa culture w ith 2.103 cells m L'1 a t a final concentration of 1% acetone. We microscopically checked for lysed cells, resting cells, and healthy cells 3h after application. W e used the same approach to check the toxicity of NaCN on E. paludosa cells at 2, 10, 20 and 40 pM Na.CN. S y n th e s is o f c y a n o g e n io d id e W e performed ICN synthesis as previously described (Bak, 1952). We dissolved 0.25 mmol NaCN (Sigma Aldrich) in 0.5 mL w ater and cooled it to 0 °C. W e gradually added 0.25 mmol iodine (Fluka, G erm any), waiting until the last portion has reacted. W e extracted the w aten- solution 3 times w ith diethyl ether, dried th e ether extract w ith sodium sulfate and removed it by a stream of argon. ICN was received as colourless crystals. C a ta la s e e x p e r im e n t We assessed the effect of the H^CL-decomposing enzyme catalase (600 units bovine liver catalase m L'1 dissolved in water, Sigma Aldrich) on the toxicity of N. cf. pellucida cultures. We added catalase to the N. cf. pellucida cultures one hour before the onset of light and we tested the presence of allelochemicals three hours after the onset of light using the 157 Chapter 7 E. paludosa bioassay. W e included a control treatm ent in which we stirred N. cf. pellucida cultures (analogous to th e catalase treatm ent) one hour before the onset of light. We replicated treatm ents 4 times. P h e n o l r e d a ssa y W e used the brom ination of phenol red (phenolsulfonphthalein) into brom inated phenol blue (3',3",5',5n-tetrabrom ophenolsulfonphthalein) as an indicator for halogenating activity (Hill & Manley, 2009). The conversion of phenol red into brom inated phenol blue indicates the involvement of haloperoxidase enzymes. These enzymes catalyze the oxidation of halide ions to hypohalous acid by H'iCL- Hypohalous acid (or a similar oxidized interm ediate) can then react w ith organic substrates th a t are susceptible to electrophilic halogénation (Butler & Sandy, 2009). W e added phenol red (30 pM final concentration) to N. cf. pellucida cultures (200,000 - 250,000 cells mL'1) three hours after daybreak. Two hours later, we m easured phenol red and brom inated phenol blue spectrophotom etrically a t 433 run and 592 nm respectively (Hill & Manley, 2009). P rior to th e m easurem ents, we removed cells by filtering on a 0.2 pm filter and adjusted the pH to 6.5 w ith acetic acid. R e s u lt s A lle lo p a th ic e ffe c ts o f N itzsc h ia cf. pellucida Experim ents w ith co-cultures of biofilm forming diatom species revealed th a t the diatom N. cf. pellucida (Fig. la ) exerted strong allelopathic effects on other diatom species. W e observed th a t the naturally co­ occurring diatom s N. arenaria (Fig. Id), C. closterium. and E. paludosa (Fig. lb) were inhibited and killed after 24h exposure to relatively low cell densities (7,000-10,000 cells m L'1) of N. cf. pellucida. A nother diatom , Stauronella sp. (Fig. le) was more resistant b u t was killed w ithin 24h when exposed to circa 80,000 cells m L'1 of N. cf. pellucida. The mechanism of inhibition appeared to be th e same for all species investigated: exposure to N. cf. pellucida cells resulted in loss of pigm entation, shrivelling of chloroplasts and finally cell death (Fig. 1). 158 The molecular toothbrush of a microalga b 0 min 10 min 120 min s < e d 0 min F i g u r e 1. A n t a g o n i s t i c e f f e c t s o f N. cf. pellucida o n a n a t u r a l l y c o - o c c u r i n g d i a t o m s p e c i e s , a: N itzsch ia cf. pellucida, b: E. paludosa, h e a l t h y cell, cell a f t e r 10 min e x p o s u r e t o N. cf. pellucida cells, d e a d cell a f t e r 1 20 m in e x p o s u re , c: S tauronella sp., h e a l t h y cell, cell a f t e r 3 0 h e x p o s u r e t o N. cf. pellucida cells, cell a f t e r 4 8 h e x p o s u re , d: N avicula arenaria, h e a l t h y cell, cell a f t e r 3 0 h e x p o s u r e t o N. cf. pellucida cells, cell a f t e r 4 8 h e x p o s u r e . S c a l e b a r = 2 0 pm . Application of nutrient-enriched spent N. cf. pellucida culture m edium on cells of different diatom species induced a collapse of photosynthetic efficiency (Fig. 2) and massive cell lysis w ithin 2h for E. paludosa (Fig. 3) and C. closterium. T he diatom Stauronella sp. was again more resistant and was able to m aintain its photosvnthetic efficiency, b u t its growth was suppressed for two days (measured as the initial fluorescence, F(), a proxy for algal biomass) after which cell growth a t rates sim ilar to the control was restored. 159 Chapter 7 C closterium 500 S ta u ro n ella sp. 500 E. p a lu d o s a 800 c 400 400 300 300 200 200 400 100 100 200 o o c a> o ¡E 1 2 3 4 600 1 * * 2 3 4 d 0 .6 Ht- C O o 0 .6 0 .5 0 .5 - - i 0 .5 a> 0 . 4 0 .4 1 o m sz c >. in O o JZ CL 0 .3 0 .3 • 0.2 0 .2 0 .2 . 0 .1 0 .1 • 0 •% ± = fc 0 L L O 1 2 3 4 T im e (d) F ig u re pellucida 2. E ffects on the of n u trie n t biom ass enriched ( A -C ) spent (m easured cell-free as m edium initial of N itzschia cf. fluorescence Fo) and p h o t o s y n t h e t i c efficien cy ( D - F ) ( F v:F m usin g P A M f l u o r e s c e n c e ) o f 3 n a t u r a l l y c o ­ o c c u r r i n g d i a t o m spe cies. W e c u l t u r e d s p e c i e s w i t h f / 2 n u t r i e n t e n r i c h e d s e a w a t e r ( b l a c k t r i a n g l e s w i t h d a s h e d lines) a n d w i t h f / 2 e n r i c h e d s p e n t m e d i u m o f N. cf. pellucida (filled s q u a r e s a n d solid lines). ( A ) a n d ( D ) : C ylindrotheca closterium , (B) a n d ( E ) Stauronella sp ., (C ) a n d ( F ) E n to m o n eis paludosa. ( M e a n s ± S .D .) . An additional response was detected in E. paludosa since N. cf. pellucida spent medium induced E. paludosa cells to lose m otility and cells displayed a strong condensation of the protoplast within 10 min after exposure (Fig. lb). Prolonged exposure to the N. cf. pellucida medium caused massive cell lysis w ithin 2-3h (Fig. 3). As this species is highly sensitive tow ards N. cf. pellucida, we selected it as a model for further bio-assay experiments. T he allelochemical potential of N. cf. pellucida varied dram atically w ith tim e of day. Using a bioassay with E. paludosa and cell free spent m edium from N. cf. pellucida cultures sampled in lh to lh.30 tim e intervals, we showed th a t allelopathic activity is highest between two to four hours after daybreak when application of spent medium resulted in nearly complete eradication of E. paludosa cells (Fig. 3). Five hours after th e onset of light, the activity diminished and th e effect was reduced to th e induction of protoplast shrinkage in >90 % of E. paludosa cells (Fig. 3). Six hours after daybreak, m ost of th e cells showed no effect 160 The molecular toothbrush of a microalga of spent medium, with > 50 % healthy cells, increasing to nearly 100 % tow ards the end of the night. This striking p attern suggests th a t labile, reactive or volatile m etabolites are responsible for th e allelopathic activity. F u rth er studies therefore focused on the characterization of m etabolites present 3h after the onset of light when toxicity was maximal. D ead cells 41 H ealthy cells S hrunken p ro to p la st -á t 100 cu u s «„2 m a LU 80 60 40 20 0 1 0 1 2 3 4 5 6 7 8 T im e a fte r d a y b re a k (h) D a yb re a k F i g u r e 3. T i m e d e p e n d e n t a lle lo c h e m ic a l p o t e n t i a l o f N. cf. pellucida t h r o u g h o u t t h e d a y . G r a p h s h o w s t h e e f f e c t o f N. cf. pellucida cell fre e s p e n t m e d i u m h a r v e s t e d a t d i f f e r e n t t i m e p o i n t s on E. paludosa cells. W e m e a s u r e d t h e e f f e c t s 2 h a f t e r e x p o s u r e t o N. cf. pellucida f i ltr a te . ( M e a n s ± S . D . ) E x tr a c tio n a n d s tr u c t u r e e lu c id a tio n o f N . cf. p ellu cid a a lle lo c h e m ic a ls W e performed GC-MS analyses of ethylacetate extracts (EAe) of cell-free spent culture medium and of volatile organic compounds collected by headspace solid phase m icroextraction (HS-SPME) and revealed the 161 Chapter 7 occurrence of 18 different brom inated and iodinated volatiles in N. cf. pellucida cultures. These compounds were a m ixture of methylhalogens (CH:iBr, CH 3I), dihalom ethanes (CH2Br2, CH2I2, CH2C1I*, CH2BrI*) as well as trihalom ethanes (CHBr:i, CH I3) CHBr2I*, CHBr2Cl*, CHClIo*) (EAe and SPM E), 1-iodopropane (EAe), di and tri-halogenated acetaldehydes (dibrom oacetaldehyde*, brom ochloroacetaldehyde*, chlorodibromo-acetaldehyde*, EAe), an d l,2-dichloroethane(EAe). We identified these compounds based on their retention tim e and mass spectra using GC-MS and, if not indicated otherwise, compared with commercially available or synthetic (Bak, 1952) standards (* — identified only by mass spectrom etry and retention tim e). In addition to these m etabolites th a t are known from m arine algae (Paul Sz P ohnert, 2011), we could also detect the volatile and highly toxic cyanogen bromide, BrCN using SPME. A commercially available synthetic standard of this novel natu ral product provided m aterial for the confirmation of the structure, quantification and a dose response assessment in bioassays with E. paludosa. T o check if these halocarbons caused the observed allelopathic interactions, we assessed the toxicity of different concentrations of the nine m ost abundant halogenated com pounds and NaCN on the diatom E. paludosa (Fig 4). In these bioassays, cyanogen brom ide turned out to be by far the most toxic halogenated m etabolite produced by the algae. The minim al lethal concentration was 2 pM (causing 96% of the E. paludosa cells to die within 3h). BrCN is by far more potent com pared to NaCN, which is active only in concentrations above 40 phi. BrCN concentrations in the Nitzschia cultures (320,000 cells mL-1) (determ ined by SPM E GCMS with CDCI 3 as an internal standard) reached on average 5.18 pM (± 3.10; n= 4). T he concentration of BrCN can thus fully explain the lethal effect of th e spent N. cf. pellucida medium. No other tested halogenated m etabolites were active in the concentration range reached in cultures. Cells of N. cf. pellucida are more resistant to BrCN and could cope with concentrations of up to 16 pM w ith m inor or no growth reduction, and onljr displayed a reduced grow th and photosynthetic efficiency a t 32 phi BrCN (Fig. 5). 162 The molecular toothbrush of a microalga B rC N C H B r3 — 100 • 80 . C H i3 ^ r C H 2B r2 cu o co « "c5 a c h 2 i2 CFhBr — 60 . 40 . - o - c h 3i C2 H , Cl¿ ui â– a 20 . cu Q 0 : to — c — NaCN 3 h 7i Nitzschia B rC N 1 0 1 10 C o n c e n tra tio n (pM) F i g u r e 4. D o s e - r e s p o n s e c u r v e f o r E. paludosa for 9 h a l o g e n a t e d c o m p o u n d s d e t e c t e d in N. pellucida cf. cultures. The grey square represents the average B rCN c o n c e n t r a t i o n in N. cf. pellucida c u l t u r e s ( t h r e e h o u r s a f t e r o n s e t o f lig ht) a n d t h e a v e r a g e r e s p o n s e o f E. paludosa t o t h e N. cf. pellucida f i lt r a t e s . ( M e a n s ± S . D . ) 600 d) 500 s 400 — •— «— c o n tro l 2 pM B rCN — »— 4 pM BrCN - 0 .4 a - - 8 pM B rC N ¿rs 1 6 pM BrCN VJ . • 3 2 p M B rC N S? 300 _2 200 o - ^ LX- ' 100 c o n tro l 2 pM B rC N ? 4 pM B rC N - o- - 8 pM B rC N _ _ 1 6 pM B rC N -, 3 2 pM B rC N o 0 20 40 10 60 H o u r s a f t e r BrCN e x p o s u r e F ig u re 5. E ff e c t of BrCN 20 30 40 H o u rs a f t e r BrCN e x p o s u r e on (A ) grow th (m easured as FO) and (B ) the p h o t o s y n t h e t i c efficiency o f N. cf. pellucida. ( M e a n s ± S . D .) To further validate th a t BrCN is the m ajor m etabolite responsible for th e allelopathic activity, we deprived N. cf. pellucida cultures of brom ide and iodide. O m itting these halogens from the culture medium alm ost completely elim inated the allelochemical activity (Fig. 6). W hen we altered the I- : Br- ratio in the culture m edium from ca. 1:2,000 in natural seawater to 1:16, production of brom inated hydrocarbons ceased and was replaced by the form ation of iodinated compounds. Likewise, BrCN production was reduced and instead there was formation 163 Chapter 7 of cyanogen iodide (ICN), a second new natural product. Spent medium of N. cf. pellucida grown at high I:Br ratios was even more toxic than spent m edium derived from natural seawater and caused massive cell lysis of E. paludosa cells within 45 min after application (Fig. 6). 100 o80 < L> O <U 60 â– § -5 CD Q. UJ T5 (0 0) Cs 40 I“: Br "= 1:16 I": Br "= 1 :2 0 0 0 20 W ith o u t I a n d Br 0 0 0.5 1.5 2 2.5 3 T i m e (h) F ig u re 6. Cell d e a t h in E. p aludosa f o llo w in g e x p o s u r e t o f i l t r a t e o f N. cf. pellucida g r o w n in m e d i a w ith d i f f e r e n t I' : B r r a t i o s ( 1 : 1 6 a n d 1 : 2 ,0 0 0 ) a n d in a b s e n c e o f I' a n d B r . ( M e a n s ± S .D .) . B rC N b io s y n th e s is Since BrCN and ICN are not known as natural products and since their production evidently relies on the availability of external halides, we aimed to verify their biogenic origin by further addressing their biosynthesis. Therefore we incubated N. cf. pellucida cells in culture medium enriched with i:iC labeled bicarbonate for 5 days. Analysis of the isotope distribution of the cyanides provided proof for a biosynthetic origin. BrCN and ICN exhibited a 12C : 13C ratio of 1 : 1.13 and 1 : 1.18 in BrCN and ICN respectively while the cyanides from cells in natural seawater exhibited the natural ratio of 1 : 0.012. (Fig 7). 164 The molecular toothbrush of a microalga 104.9 106.9 100 C 100 152.Í 78.9 126.9 138.9 76.5 100 90 80 110 100 120 140 m/z 100 104.9 107.9 153.9 100 152.9 126.9 c 78.9 80.9 76.5 138.9 100 110 80 100 120 140 m/z F i g u r e 7 . G C - E I - M S s p e c t r a o f B rC N (A a n d C) a n d ICN ( B a n d D ). A a n d B w ere harvested from N. c f pellucida c u l t u r e s g r o w n in n a t u r a l s e a w a t e r b a s e d culture m e d i u m a n d C a n d D f r o m c u l t u r e s g r o w n in N a H 13C 0 3 e n r i c h e d m e d i u m . 100 80 60 •§ ,3 "c5 a 40 hi -a A 3 V Q 20 0 Filtrate Filtrate + cata lase N itzschia Control + catalase F i g u r e 8 . Cell d e a t h in E. paludosa follo w in g e x p o s u r e t o f i l t r a t e o f N. cf. pellucida, to filtrate a n d catalase, to f i lt r a t e f r o m N. cf. pellucida c u l t u r e s i n c u b a t e d w ith c a t a l a s e ( “N itzsc h ia + c a t a l a s e ” ) a n d t o a filtered s e a w a t e r c o n t r o l . ( M e a n s ± S .D .) 165 Chapter 7 Biosynthetic considerations of BrCN or ICN suggested the presence of an oxidized halogen species. Known enzymes which could be involved are H 2 O 2 consuming haloperoxidases (H PO ). T o test if allelochemical production is linked w ith cellular H20 2 production, we assessed th e effect of the H20 2-decomposing enzyme catalase incubated w ith N. cf. pellucida cultures. C atalase application indeed largely suppressed the allelochemical potential in the N. cf. pellucida cultures. T h e activity cannot be attrib u ted to th e catalase enzyme itself since it did not inhibit the allelopathic activity of spent medium in control experim ents (Fig 8). In a second assay for haloperoxidase activity we added phenol red (phenolsulfonphthalein) a t 36 pM to N. cf pellucida cultures and spectrophotom etrically checked for conversion into brom inated phenol blue (3',3",5',5''-tetrabrom ophenolsulfonphthalein). Halogénation of phenol red occurred shortly after daybreak and phenol red concentration decreased to 26.38 ±2.26 (mean ± s.d., n=5) pM and 8.60 ± 1.86 (n=5) pM bromophenol blue was formed w ithin three hours. D is c u s s io n In this stu d y we show th a t the benthic diatom Nitzschia cf. pellucida produces allelochemicals th a t cause chloroplast bleaching and a reduced photosynthetic efficiency leading to growth inhibition and massive cell lysis in n aturally co-occurring com peting microalgae. T he allelopathic com pounds are effective w ith low threshold concentrations which is dem onstrated by the fact th a t medium from cultures w ith relatively low cell densities (8,000 cells m L'1) was active against com petitors. The threshold concentrations relevant for cell-cell interactions in our experim ents are probably overestim ated given th e recent finding (Jonsson et al., 2009) th a t local concentrations of allelochemicals (near the chemical envelope of cells) can be orders of m agnitude higher th an those in the well mixed cell-free filtrates which we used in our experiments. O ur work adds to a very limited num ber of studies dem onstrating the m olecular basis for chemically m ediated interactions between biofilm forming microalgae. Using a com bination of chemical analyses and bioassays we identified the highly reactive m etabolite BrCN as the 166 The molecular toothbrush of a microalga causative agent of the observed activity. This compound has not been previously detected as a natural product. BrCN is highly toxic and has been applied as fumigant and pesticide and was even briefly used as a chemical weapon during W orld W ar I (Iiosch, 2009). BrCN is currently used to fragm ent proteins by hydrolyzing peptide bonds a t the Cterm inus of methionine residues (M ortvedt et al., 1991). Besides this effective m etabolite, N. cf. pellucida also produces a diverse m ixture of iodo- and bromocarbons w ith com paratively lower allelopathic properties. T he halom ethanes, halogenated acetaldehvdes and iodopropane detected have been reported previously from micro- and macroalgae (Giese et al., 1999, K am enarska et al., 2007, B utler &¿ Sandy, 2009). Cyanogen bromide is hydrolyzed by water to release hydrogen cyanide (HCN) b u t we can exclude th a t the allelopathic effects were caused by cyanide alone since NaCN caused only minor effects when applied to our bio-assay species E. paludosa. C oncentrations of 40 pM NaCN (20 tim es higher th an the active BrCN concentration) caused no short term (8 h) effect on E. paludosa cells, which is mild com pared to the toxicity of BrCN. Since BrCN is not a common natural product we verified if it m ight result from abiotic transform ations in the m edium or if it is a true natural product biosynthesized by the alga. 13C labeled bicarbonate was incorporated into BrCN and ICN in high yields confirming unam biguously a biogenic origin. A pplication of the ITOs-decomposing enzyme catalase suppressed the allelochemical potential in the N. cf. pellucida cultures which suggests th a t haloperoxidase (HPO) activity (B utler & Sandy, 2009) is involved in th e BrCN synthesis. Furtherm ore, we observed a preference for iodide over brom ide incorporation, which corresponds w ith the halide selectivity for haloperoxidases (Verhaeghe et al., 2008). Also the absence of C1CN in Br and I depleted cultures m atches with the halide preference of algal HPO. Lastly, the conversion of phenol red into brom inated phenol blue in the N itzschia cultures points to the involvement of haloperoxidase enzymes. These enzymes catalyze the oxidation of halide ions to Irypohalous acid by H 2 O 2 . Hypohalous acid (or a sim ilar oxidized interm ediate) can then react w ith organic substrates th a t are susceptible to electrophilic halogénation (B utler & Sandy, 2009). W e can not, however, conclude whether biogenic CN~ (or equivalent) reacts w ith “Br+” from th e haloperoxidase reaction or if the transform ation of halomethanes or other precursors to BrCN is involved in the biosynthetic pathw ay. CN' production is known from a broad range of organisms, including bacteria, 167 Chapter 7 fungi, insects, algae, and plants, as a m eans to avoid predation or com petition but the production and several pathw ays to this m etabolite are described (Knowles & Bunch, 1986). Haloperoxidase enzymes are distributed in m arine organisms including Rhodophyta, P haeophyta, C hlorophyta (Paul k P ohnert, 2011) and Bacillariophyta (Moore et al., 1996). An im portant function of HPO is to scavenge harmful H 2 O 2 produced during photosynthesis, photorespiration and other m etabolic processes (Manley, 2002). It has also been suggested th a t HPO of m arine organisms are involved in defense mechanisms such as th e m ediation and prevention of bacterial biofilm formation, but evidence for the involved m etabolites was not given till now (B rochardt et al., 2001, Cosse et al., 2009). Here we provide a link between HPO activity and allelopathic potential supporting an ecological role for this enzyme in diatoms. It is interesting to note th a t we only detected BrCN during the m orning hours in the culture and only if we quickly extracted this reactive metabolite. Given th e methodological difficulties in detecting highly reactive m etabolites, it would be w orth verifying th e potential of oth er microalgae to produce this reactive m etabolite, which would most likely not have been picked up in other determ inations of halogenated volatiles. The mechanism introduced here could thus have a broader occurrence. T he production of BrCN only w ithin few hours after daybreak coincides w ith the time span of hydrogen peroxide production in algal cells due to the Mehler reaction (Collen et al., 1995). A short term release of a toxic m etabolite to suppress grow th of com petitors m ight be a highly efficient allelopathic strategy. Like a “molecular toothbrush” BrCN could elim inate the surrounding flora daily after sunrise, leading to increased access to nutrients present in the environm ent and even elevated concentrations resulting from nutrients leaking from killed cells. The clean and n u t rient-rich area could then be used by N. cf. pellucida for effective proliferation in the absence of toxins. This diatom species is more resistant to BrCN com pared to its com petitors (Fig. 5) but at elevated concentrations still sensitive to the toxin. T hus th e short term toxin b urst is an effective means of reducing the risk of auto-toxicity and represents a novel strategy for allelopathic interactions. In this study we illustrate th a t a highly active simple m etabolite from diatom s has the potential to prom ote daily cleaning events around a biofilm forming diatom . Our results provide a novel m echanism by which 168 The molecular toothbrush of a microalga diatom s can generate microscale chemical territoria in which com petitors are deterred or killed. Obviously, such strategy contributes to complex micro-landscapes m aintained by interacting species and may boost the small-scale patchy growth habits of biofilm forming species. Our results also suggest a potential link between the globally significant emissions of volatile halocarbons released by m arine algae and allelopathic activity. A c k n o w le d g e m e n t s This research was supported by the BOF-GOA projects 01GZ0705 and 01G01911 (G hent University), by the FW O project G.0374.11 and by VLANEZO project G.0630.05. W e thank th e Jena School for Microbial Com munication (JSMC) for a grant to C P and JG r and the Volkswagen Foundation for a Lichtenberg Professorship to GP. R e fe r e n c e s Bak, B. 1952. Cyanogen Iodide. Org Synth 32:29-31. Berges, J. A., Franklin, D. J. & Harrison, P. J. 2001. Evolution of an artificial seawater medium: Im provements in enriched seawater, artificial w ater over the last two decades. Journal o f Phycology 37:1138-45. B rochardt, S. A., Allain, E. J., Michels, J. J., Stearns, G. W ., Kelly, R. F. & McCoy, W. F. 2001. Reaction of acylated homoserine lactone bacterial signaling molecules w ith oxidized halogen antim icrobials. Applied and Environmental Microbiology 67:317479. B utler, A. & Sandy, M. 2009. M echanistic considerations of halogenating enzymes. Nature 460:848-54. C arpenter, L. J., Liss, P. S. & P enkett, S. A. 2003. M arine organohalogens in th e atm osphere over the A tlantic and Southern Oceans. Journal o f Geophysical Research-Atmospheres 108. Chepurnov, V. A., Mann, D. G., Vyverman, W ., Sabbe, K. & Danielidis, D. B. 2002. Sexual reproduction, m ating system, and protoplast 169 Chapter 7 dynam ics of Sem inavis (Bacillariophyceae). Journal of Phyoology 38:1004-19. Collen, J., Delrio, hi. J., Garciareina, G. k Pedersen, M. 1995. Photosynthetic production of hydrogen peroxide by Ulua rigida C. Ag. (C hlorophyta). Planta 196:225-30. Cosse, A., Potin, P. k Leblanc, C. 2009. P attern s of gene expression induced by oligoguluronates reveal conserved and environmentspecific molecular defense responses in the brown alga L arrimaría digitata. New Phytologist 182:239-50. de Brouwer, J. F. C., Bjelic, S., de Deckere, E. hl. G. T. k Stal, L. J. 2000. Interplay between biology and sedimentology in a m udflat (Biezelingse Ham, W esterschelde, The N etherlands). Continental Shelf Research 20:1159-77. De Jong, L. k Adm iraal, W . 1984. Com petition between 3 estuarine benthic diatom species in mixed cultures. Progress Series 18:269-75. Marine Ecology- Decho, A. W. 2000. hlicrobial biofilms in intertidal systems: an overview. C ontinental Shelf Research 20:1257-73. Giese, B., Laturnus, F., Adams, F. C. k Wiencke, C. 1999. Release of volatile iodinated C -l-C -4 hydrocarbons by m arine macroalgae from various clim ate zones. Environm ental Science & Technology 33:2432-39. Gross, E. hi. 2003. A llelopathy of aquatic autotrophs. Critical Reviews in Plant Sciences 22:313-39. Guillard, R. R. L. 1975. C ulture of phytoplankton for feeding marine invertebrates. In: Sm ith, W. L. k Chanley, hl. H. [Eds.] Culture o f M arine Invertebrate Animals. Plenum , New York, pp. 29-60. Hill, V. L. k hlanlev, S. L. 2009. Release of reactive brom ine and iodine from diatom s and its possible role in halogen transfer in polar and tropical oceans. Limnology and Oceanography 54:812-22. Honeywill, C., Paterson, D. N. k Iiagerthey, S. E. 2002. D eterm ination of m icrophytobenthic biomass using pulse-am plitude m odulated m inim um fluorescence. European Journal o f Phycology 37:485-92. Hosch, W. L. 2009. World W ar I: People, Politics, and Power (Am erica at War). B ritannica Educational Publishing, Jonsson, P. R., Pavia, H. k T oth, G. 2009. Form ation of harm ful algal blooms cannot be explained by allelopathic interactions. Proceedings o f the National Academ y of Sciences of the United States o f Am erica 106:11177-82. 170 The molecular toothbrush of a microalga Kam enarska, Z., Taniguchi, T ., Ohsawa, N., Hiraoka, M. & Itoh, N. 2007. A vanadium -dependent bromoperoxidase in the m arine red alga Kappaphycus alvarezii (Doty) Doty displays clear substrate specificity. Phytochemistry 68:1358-66. Knowles, C. J. Sz Bunch, A. W . '1986. Microbial cyanide metabolism. Advances in Microbial Physiology 27:73-111. Krom kamp, J., B arranguet, C. & Peene, J. 1998. D eterm ination of m icrophytobenthos PSII quantum efficiency and photosynthetic activity by m eans of variable chlorophyll fluorescence. M arine Ecology-Progress Series 162:45-55. Legrand, C., Rengefors, K., Fistarol, G. O. & Graneli, E. 2003. A llelopathy in phytoplankton - biochemical, ecological and evolutionary aspects. Phycologia 42:406-19. M anley, S. L. 2002. Phytogenesis of halomethanes: A product of selection or a metabolic accident? Bio geo chemistry 60:163-80. Molino, P. & W etherbee, R. 2008. T he biology of biofouling diatom s and th eir role in th e development of microbial slimes Biofouling Moore, 24:365-79. R. M., W ebb, M., Tokarczyk, R. & W ever, R. 1996. Brom operoxidase and iodoperoxidase enzymes and production of halogenated m ethanes in m arine diatom cultures. Journal of Geophysical Research-Oceans 101:20899-908. M ortvedt, C. I., Nissenmever, J., Sletten, K. & Nes, I. F. 1991. Purification and amino acid sequence of Lactocin-S, a bacteriocin produced by Lactobacillus sake L45. Applied and Environm ental Microbiology 57:1829-34. P aul, C. &¿ P ohnert, G. 2011. Production and role of volatile halogenated com pounds from m arine algae. Natural Product Reports 28:18695. Poulson, K. L., Sieg, R. D. &¿ Kubanek, J. 2009. Chemical ecology of the m arine plankton. Natural Product Reports 26:729-45. Prince, E. K., Myers, T. L. & Kubanek, J. 2008. Effects of harmful algal blooms on com petitors: Allelopathic mechanisms of the red tide dinoflagellate Karenia brevis. Limnology and Oceanography 53:531-41. Saburova, M. A., Polikarpov, I. G. & Burkovsky, I. V. 1995. Spatial stru ctu re of an intertidal sandflat m icrophytobenthic com m unity as related to different spatial scales. Marine Ecology-Progress Series 129:229-39. 171 Chapter 7 Shaffer, G. P. k Onuf, C. P. 1985. Reducing the eror in etim ating anual poduction of bnthic mcroflora - hurly to ninthly rtes, ptchiness in sace and tme. M arine Ecology-Progress Series 26:221-31. Sturges, W . T ., Cota, G. F. k Buckley, P. T. 1992. Bromoform emission from arctic ice algae. Nature 358:660-62. Sturges, W . T ., Sullivan, C. W., Schnell, R. C., Heidt, L. E. k Pollock, W . H. 1993. Bromoalkane production by an tartctic ice algae. Tellus Series B-Chem ical and Physical Meteorology 45:120-26. Sukenik, A., Eshkol, R., Livne, A., Hadas, O., Rom, hl., Tchernov, D., Vardi, A. k Kaplan, A. 2002. Inhibition of grow th and photos}'nthesis of the dinoflagellate Peridinium gatunense by Microcystis sp (cyanobacteria): A novel allelopathic mechanism. Limnology and Oceanography 47:1656-63. Uchida, T ., Toda, S., M atsuyam a, Y., Yamaguchii, hi., K otani, Y. k Honjo, T. 1999. Interactions between the red tide dinoflagellates Heterocapsa circularisquama and G ym nodinium m ikim otoi in laboratory culture. Journal o f Experim ental M arine Biology and Ecology 241:285-99. Vanelslander, B., De Wever, A., Van Oostende, N., K aew nuratchadasorn, P ., Vanormelingen, P ., Hendrickx, F., Sabbe, K. k Vyverman, W . 2009. Com plem entarity effects drive positive diversity effects on biomass production in experim ental benthic diatom biofilms. Journal of Ecology 97:1075-82. Verhaeghe, E., Buisson, D., Zekri, E., Leblanc, C., P otin, P. k Ambroise, Y. 2008. A colorimetric assay for steady-state analyses of iodoand bromoperoxidase activities. Analytical Biochem istry 379:6065. Yebra, D. hl., Kiil, S. k Dam-Johansen, K. 2004. Antifouling technology - past, present and future steps tow ards efficient and environm entally friendly antifouling coatings Progress in Organic Coatings 50:75-104. 172 231870 C h a p te r 8 G e n e r a l D is c u s s io n D iv e r s ity - E c o sy s te m F u n c tio n in g a n d O rg a n ism a l T r a its T he m ain aim of this thesis was to gain a better understanding of the diversity and functioning of estuarine benthic diatom communities. The relationship between biodiversity and ecosystem functioning (BEF) has now been docum ented for a wide range of ecosystems. These studies generally found positive effects of diversity on different measures of ecosystem functioning (reviewed by B alvanera et a l, 2006, W orm et a l, 2006, Stachowicz et a l, 2007, C adotte et a l, 2008, C ardinale et a l, 2011). M any studies suggest th a t organismal tra it differentiation is required for positive diversity effects, but actual information on trait differentiation is mostly lacking (Hillebrand & M atthiessen, 2009, Reiss et a l, 2009). These organismal traits govern energy and m aterial flows and m ay also m ediate environm ental conditions such as disturbance and n u trien t availability. C r y p tic d iv e r s ity a n d e c o p h y sio lo g ic a l t r a i t v a r ia tio n An even more fundam ental requirem ent to gain insights in BEF relationships is a solid knowledge of th e diversity before we can begin to assign organism al trait characteristics to species. Assessing microalgal diversity has traditionally been based on the morphology of species, but species delineation and hence diversity measures based on morphology can be deceiving. M any recent studies using m ultiple approaches including morphology, molecular d ata and breeding experim ents to assess species boundaries have shown high levels of cryptic and pseudocryptic variation in microalgae (Saez et a l, 2003, Beszteri et a l, 2005, Slapeta et 173 Chapter 8 al., 2006, Evans et a l, 2007) and therefore suggest th a t diversity has been severely underestim ated (Mann, 1999). In this thesis I add two more examples (the dom inant epipelic diatom species Navicula phyllepta (chapter 2) and Cylindrotheca closterium, chapter 3) to the expanding list of (pseudo)cryptic species. More im portantly, I show how closely related and morphologically similar lineages in both tax a differ in their ecophysiological traits (salinity and therm al niche respectively). Our results show th a t these microbial m arine species are not th e ecological generalists we once thought they were, b u t consist of different lineages w ith distinct ecological preferences. These insights are not only im portant when assessing effects of diversity on ecosystem function, but also help understanding the mechanisms th a t prom ote cryptic species coexistence. It is likely th a t many other currently recognized estuarine benthic diatom species are actually species complexes, consisting of several closely related lineages w ith different ecological preferences. For example, several common estuarine diatoms are known for their presence along broad estuarine gradients (Kramm er & Lange-Bertalot, 1986-1991) and it is unclear w hether these morphospccies represent cryptic species with com plem entary distributional ranges and physiological properties or single species with broad ecological tolerances. Navicula gregaria for instance, another dom inant benthic diatom in many estuaries, seems to consist of different genetic lineages; Sabbe (1997) and Cox (1987) reported the occurrence of two different morphological groups within N. gregaria which display distinct ecological preferences, and experiments showed th a t different N. gregaria genotypes differ in their salt tolerance (VaneIslander, 2004). O rg a n is m a l T r a its a n d D is tu r b a n c e Species’ traits arc not only im portant for species coexistence and biodiversitv-ecosystem function relations (see below), they may also determ ine how species can cope w ith disturbance. Based on an extensive dataset of benthic diatom assemblages covering a wide range of hydrodynam ic disturbance, we showed th a t growth form and cell size are im p o rtan t traits to predict th e effect of disturbance on species richness (chapter 4). O ur results are consistent w ith the interm ediate disturbance hypothesis which implicitly assum es th a t there is a trade-off in functional traits determ ining com petitive ability and disturbance tolerance (Haddad 174 General Discussion et a l, 2008). These trade-offs lead to maximal diversity when competitive and disturbance tolerant species are able to coexist (Haddad et al., 2008). D iv e rs ity -E c o s y s te m F u n c tio n in g in M ic ro a lg a e C o m m u n itie s Field studies on benthic and planktonic microalgae suggest th a t diversity can enhance ecosystem functions such as resource use efficiency and productivity (Forster et a l, 2006, Ptacnik et a l, 2008). Yet, as is true for m ost other BEF studies, th e underlying mechanisms are unclear. By experim entally assembling diatom communities w ith decreasing diversity, we dem onstrated a highly positive biodiversity effect on biomass production (chapter 5). Based on the additive partition m ethods designed by Loreau k Hector (2001), we inferred th a t com plem entarity effects (sensu Loreau & H ector (2001), thus incorporating both niche com plem entarity and facilitation) were responsible for positive diversity effects. However, these m athem atically derived measures of com plem entarity do not full}' correspond with the ecological meaning of niche com plem entarity and facilitation (Cardinale et ah, 2011). Several studies have shown th a t com plem entarity effects (sensu Loreau k Hector 2001) can be the balance of both negative and positive interactions between species (Hooper k Dukes, 2004, Cardinale et a l, 2007). In our study, we showed th a t growth of a strain of Cylindrotheca closterium was significantly prom oted by the availability of organic exudates of neighbouring diatom species, suggesting th a t m ixotrophy may constitute an im portant m echanism m ediating facilitative interactions between benthic diatom species. Again, different strains of C. closterium showed different capabilities to grow mixotrophicallv, confirming th at there can be considerable cryptic variation in organism al traits in morphologically sim ilar strains. As yet, we do not have further evidence for other mechanisms of niche com plem entarity th a t caused the observed positive diversity effects in our experim ents, b u t it is likely th a t com plem entary use of light and /o r nutrients is also involved. Com plem entary nutrient uptake leading to higher resource uptake in more diverse communities has been shown for different macroalgae species which are able to use different nitrogen forms (Bracken k Stachowicz, 2006). In the case of benthic microalgae, Underwood and Provot (2000) showed th a t different m icrophytobenthic 175 Chapter 8 species and strains display distinct preferences and tolerances for nitrate and ammonium. In addition, Nilsson and Sundback (1996) showed species specific differences in the ability to take up amino acids. Com plem entarity in light use has recently been shown for phvtoplankton communities. More diverse phytoplankton communities harbour on average a more diverse arra}' of photosynthetically active pigments which results in a more efficient absorbance of th e available light spectrum leading to a higher biomass accrual (Striebel et a l, 2009). Moreover, planktonic cvanobacteria display com plem entary chromatic adaptation which allows them to tune their pigm ent com position to the prevailing light spectrum and adjust to the presence of other cyanobacteria with specific spectral light requirem ents (Stom p et a l, 2004, Kehoe &¿ G utu, 2006). In contrast to phytoplankton living in relatively deep mixed layers, m icrophytobenthos often faces a very steep gradient in light with cells in biofilms at a depth of 300-400 pm experiencing alm ost complete darkness (Paterson et al., 2003). In such conditions, light limiting and inhibiting conditions are separated by only a few hundred pm. Epipelic diatom s can cope w ith such harsh conditions by exhibiting vertical m igration p atterns which are synchronized with daily emersion (Paterson, 1989). Kromkamp et al. (1998) suggested th a t there is a further differentiation possible w ithin these m igration cycles. He suggested th at species “m icro-m igrate” w ithin the upper layers of th e biofilm, with different species surfacing a t different timings. This was confirmed in field experim ents by Underwood et al. (2005) who dem onstrated th a t different m icrophytobenthos species do display differentiation in m igration timing and photophysiological adaptation to inhibiting light conditions (especially w ith respect to non photochemical quenching). T he niche differentiation in light use could thus also contribute to the overall higher resource use efficiency and a higher productivity of more diverse biofilms. E v o lu tio n a r y H is to r y a n d D iv e rs ity -E c o s y s te m F u n c tio n in g T he evolutionary history of species determ ines current species traits, therefore it has been proposed th a t evolutionary history influences biodiversity and ecosystem functioning relations (Kinzig et al., 2002, Loreau et a l, 2002, Gravel et a l, 2011). Gravel et al. (2011) showed th a t 176 General Discussion bacterial communities of experim entally evolved specialists have a stronger B E F relation th an bacterial communities of experim entally evolved generalists. Maherali and Klironomos (2007) showed th a t phylogeneticall}' more diverse communities of mycorrhizal fungi caused a higher associated plant productivity. They reasoned th a t there is a lot of functional redundancy of mycorrhizal species w ithin families, and thus th a t traits are conserved within families, corresponding w ith the idea of phylogenetic niche conservatism. To which extent this phylogenetic niche conservatism applies to higher clades of microalgae is currently unknown, b u t we show th a t, at least for climatic niches, niche conservatism is weak w ithin the diatom genus Cylindrotheca (chapter 3). To which extent this fast adaptive n atu re is specific for Cylindrotheca or if it can be broadened to m arine microalgae is open for further discussion. C h e m ic a lly M e d ia te d B io tic I n te r a c tio n s In addition to these examples of niche differentiation leading to higher resource efficiency use through com plem entary resource use, there is a growing awareness th a t biotic interactions m ediated by chemical cues can also strongly influence ecosystem function (Hay, 2009). Microalgae produce and exude a wide array of different molecules th a t are involved in selection of m ates (Tsuchikane et ah, 2008), defence against grazing (M iralto et ah, 1999), repelling com petitors (Gross, 2003), etc. These secondary m etabolites are supposed to be om nipresent, b u t their identity is often unknown (Hay, 2009). These chemical cues have been described as the “language of life in the sea” and a better understanding of this language will evidently increase our understanding of biotic interactions and their im portance for ecosystem functioning (Hay, 2009). The com bination of chemical characterization m ethods and advanced ecological assays has only recently led to th e identification of a relatively small set of chemical cues th a t affect the behaviour an d /o r physiology of m arine microorganisms (Pohnert et al., 2007, Hay, 2009, Poulson et a l, 2009), b u t th eir precise effects on ecosystem functioning and com m unity stru ctu re are still virtually unknown. How chemical cues affect the development and spatial organization of biofilms is poorly understood. Phototrophic biofilms, dom inated by eukaryotic micoalgae, are known to display complex micro­ scale patchiness which cannot readily be explained by abiotic heterogeneity or bioturbation by grazers. It has therefore been 177 Chapter 8 hypothesized th a t allelopathic interactions between biofilm eukaryotic microalgae m ay be invoked to explain this micro-scale patchiness (Saburova et al., 1995). In C hapter 6, I show th a t three different benthic diatom species produce allelopathic substances in a density-dependent way. These findings suggest th a t allelopathic interactions m ight be more common in benthic microalga.1 com munities th an previously thought. F urtherm ore, I dem onstrate the physiological and molecular basis of allelopathic interactions caused by Nitzschia cf. pellucida. I show th a t this m arine benthic diatom exudes a diverse m ixture of volatile halogenated hydrocarbons including the highly toxic and new natural product cyanogen brom ide (BrCN). Biosynthesis of th e toxin is light-dependent, w ith a short burst of production shortly after the onset of light. Inhibiting cellular H 2 O 2 production prevented th e form ation of allelochemicals, strongly suggesting th a t haloperoxidase enzyme activity (which is H 2 O 2 dependent) is involved in BrCN synthesis. These antagonistic interactions have the potential to generate micro-scale chemical landscapes which may result in the observed small-scale patchy grow th habits of biofilm forming species. T his work adds to a very limited num ber of studies dem onstrating the m olecular basis for chemically m ediated interactions between microalgae. Production of volatile halogenated m etabolites is widespread am ong micro- and macroalgae and contributes significantly to th e global atm ospheric halocarbon budget, b u t their biological role has always been poorly understood (Sturges et a l, 1992, C arpenter & Liss, 2000, Salawitch, 2006, Paul & P ohnert, 2011). Furtherm ore, our results suggest a potential function for haloperoxidase enzymes, which are present in m arine red, green and brown algae, diatom s, fungi and bacteria, b u t whose role to date remained elusive. Several studies have dem onstrated allelopathic activity in algae possessing these enzymes, but a direct link between these enzymes an d allelopathic activity has never been suggested. In addition, production of th e toxin BrCN is coupled w ith photosynthetic activity, and raises interesting questions regarding photosynthesis related H 2 O 2 production (e.g. in th e Mehler reaction, Collen et production. a l, 1995), haloperoxidase activity and allelochemical M any other allelopathic interactions have been described (reviewed by Gross, 2003, Legrand et a l, 2003), b u t only a few studies actually show th e chemical nature of th e interaction (Leao et a l, 2010). Chemical cues may also m ediate access to nutrients and thus influence 178 General Discussion resource use efficiency. For instance, when it comes to phosphate acquisition, certain cyanobacteria have a cunning plan. Bar-Yosef et al. (2010) showed th a t Aphanizom enon ovalisporum produces the cyanotoxin cylindrosperm opsin which causes th e production of extracellular phosphatases in other phytoplankton species. These enzymes break down external phosphate esters (which can not be readily assimilated) w ith the production of inorganic phosphate which can then be (partly) used by Aphanizomenon. O ther chemical cues th a t govern resource use efficiency are exchanged between certain bacteria and phytoplankton species. C ertain sym biotic bacteria can help microalgae by increasing the solubility of boron and iron by producing non-specific boron and iron binding siderophores which can be shared with microalgae (Amin et al, 2007, Amin et al., 2009). B acteria m ay also enhance microalgal growth by suppling microalgae w ith essential compounds such as cobalam in (vitam in B 12) (Croft et a l, 2005, King et a l, 2011). C o n c lu s io n Overall, our results contribute to the understanding of the species com position and functional organization of complex phototrophic biofilms and its consequences for ecosystem functioning. W e suggest th a t cryptic diversity is widespread am ong estuarine diatom s and th a t this diversity is linked w ith ecophysiological differentiation and h ab itat partitioning by closely related species. Over large environm ental gradients it appears th at lineages behave in a conservative fashion, in the sense th a t they are lim ited in their distribution to suitable hydrodynamieal conditions. At the local scale, strong positive and negative interactions (facilitation, allelopathy) appear to be im portant in these diatom communities. 179 Chapter 8 P e r s p e c t iv e s T he results in this thesis invite further research in several research areas. I highlight some of the specific topics th a t, in my opinion, deserve further research. N e x t G e n e r a tio n B E F E x p e rim e n ts O ur laboratory B EF experim ent yielded insights into the potential mechanisms responsible for enhanced performance of more speciose biofilms. Yet, this experim ent largely ignored the natural complexity, th u s its applicability to real natural systems is unclear. Future experim ents should include more environm ental realism such as the inclusion of natural environm ental variation and trophic complexity and should explore the im pact of diversity loss a t greater spatial and tem poral scales. T he effect size of diversity should be com pared w ith the effect sizes of environm ental variation and heterogeneity (see also Cardinale et ah, 2011). Next to these larger scale experim ents, there is a long-lasting need to gain more insights into th e m echanisms and functional traits responsible for BEF relations. Ideally, B EF experim ental designs could combine measurem ents of m ultiple biogeochemical processes, a m etabolomics approach th a t scans th e extracellular chemical cues, and a m onitoring of key cell functions by profiling the expression of selected genes. O r more simply: linking the ‘omics’ to com m unity ecology to b etter understand how organismal traits affect species interactions and com m unity functioning. A d a p ta tio n in M a rin e M ic ro a lg a e On the basis of the results presented in chapter 3 in which we focused on th e therm al niche of closely related lineages w ithin the m arine diatom genus Cylindrotheca, we can draw some further questions th a t merit study: How fast can a strain ad a p t to another tem perature regime? W hich genes are involved in tem perature adaptation? C an this ad ap tatio n potentially influence spéciation? Is ecological spéciation im portant for diversification in m arine phytoplankton? Is the negative correlation between cold and heat tolerance caused by antagonistic 180 General Discussion pleiotropy or m utation accum ulation? P a rt of these questions could be resolved by conducting evolution experim ents w ith e.g. cold adapted strains and let them adapt gradually to sublethal tem peratures (similar to Bell & Gonzalez, 2009). Differences in gene expression between adapted and ancestral strains could then be assessed to gain more knowledge in th e genes responsible for therm al adaptation. E c o lo g ica l I m p o r ta n c e o f M ic ro a lg a l H a lo c a rb o n C h e m is try Many marine micro- and macroalgae produce volatile halogenated metabolites, an emission which is of global significance, but why they do this is not understood (Paul & P ohnert, 2011). Several macroalgae such as the green alga Ulva sp. and the red algae Gracilaria sp. and Corallina sp. are known to possess haloperoxidases (Sheffield et al., 1995, Manley & Barbero, 2001, Ohsawa et a i, 2001, W einberger et a l, 2007) and other reports have shown allelopathic interactions for these species (Jeong et a l, 2000, W ang et a l, 2009), b u t no reliable mechanistic link nor halogenated allelochemicals have been identified so far for these species. Next to these algae w ith known halogenating activities, several dinoflagellates produce unknown toxins th a t are associated w ith hydrogen peroxide and superoxide (M arshall et a l, 2005). In at least one case, toxin production is H 2 O 2 dependent (Kim et a l, 1999) b u t the identity of the active compound remains unknown (Kim et a l, 2002). An enhanced effort w ith the m ethods described in this thesis m ight yield new insights in the ecology of halocarbon chemistry. Haloperoxidase enzymes also have th e potential to disrupt bacterial quorum sensing (a cell-cell com m unication system th a t enables a single cell to sense the total cell num ber of its population, governed by the accum ulation of signaling molecules). Quorum sensing (QS) disruption has already been shown for the brown algae Lam inaria digitata (B rochardt et a l, 2001). It m ight be interesting to test if the halogenating enzymes in the diatom Nitzschia cf pellucida are also able to enzymatically alter or degrade bacterial QS signals such as Nacylhomoserine lactone (AHL) which can be easily checked using stan d ard bacterial bioassavs (Dobretsov et a l, 2009). 181 Chapter 8 C ite d R e fe r e n c e s Amin, S. A., Green, D. H., H art, M. C., Küpper, F. C., Sunda, W. G. & C arrano, C. J. 2009. Photolysis of iron-siderophore chelates prom otes bacterial-algal m utualism . Proceedings o f the National A cadem y o f Sciences o f the United States of Am erica 106:1707176. Amin, S. A., Küpper, F. C., Green, D. H., Harris, W. R. & C arrano, C. J. 2007. Boron binding by a siderophore isolated from marine bacteria associated with the toxic dinoflagellata G ymnodinium catenatum. Journal o f the Am erican Chemical Society 129:47879. Balvanera, P., Pfisterer, A. B., Buchm ann, N., He, J. S., Nakashizuka, T ., Raffaelli, D. & Schmid, B. 2006. Quantifying th e evidence for biodiversity effects on ecosystem Ecology Letters 9:1146-56. functioning and services. Ba.r-Yosef, Y., Sukenik, A., Hadas, O., Viner-Mozzini, Y. & Kaplan, A. 2010. Enslavem ent in the W ater Body by Toxic Aphanizomenon ovalisporum, Inducing Alkaline Phosphatase in Phytoplanktons. Current Biology 20:1557-61. Bell, G. & Gonzalez, A. 2009. Evolutionär}- rescue can prevent extinction following environm ental change. Ecology Letters 12:942-48. Beszteri, B., Acs, E. & Medlin, L. K. 2005. Ribosomal DNA sequence variation am ong sym patric strains of the Cyclotella meneghiniana complex (Bacillariophyceae) reveals cryptic diversity. 156:317-33. Protist Bracken, hl. E. S. & Stachowicz, J. J. 2006. Seaweed diversity enhances nitrogen uptake via com plem entary use of n itrate and ammonium. Ecology 87:2397-403. B rochardt, S. A., Allain, E. J., Michels, J. J., Stearns, G. W ., Kelly, R. F. h McCoy, W . F. 2001. Reaction of acylated homoserine lactone bacterial signaling molecules w ith oxidized halogen antim icrobials. Applied and Environmental Microbiology 67:317479. C adotte, M. W ., Cardinale, B. J. & Oakley, T. H. 2008. Evolutionary history and the effect of biodiversity on plant productivity. 182 General Discussion Proceedings o f the National Academ y o f Sciences o f the United States o f Am erica 105:17012-17. Cardinale, B. J., M atulich, K., Hooper, D. U., Byrnes, J. E., Duffy, E., G am feldt, L., Balvanera, P ., O ’Connor, M. I. & Gonzalez, A. 2011. T he functional role of producer diversity in ecosystems. A m erican Journal o f Botany 98. Cardinale, B. J., W right, J. P., C adotte, M. W ., Carroll, I. T., Hector, A., Srivastava, D. S., Loreau, M. & Weis, J. J. 2007. Im pacts of p lan t diversity on biomass production increase through time because of species com plem entarity. Proceedings o f the National A cadem y o f Sciemces o f the United States o f Am,erica 104:1812328. C arpenter, L. J. & Liss, P. S. 2000. On tem perate sources of bromoform and other reactive organic brom ine gases. Journal o f Geophysical Research-Atmospheres 105:20539-47. Collen, J., Delrio, M. J., Garciareina, G. & Pedersen, M. 1995. P hotosvnthetic production of hydrogen peroxide by Ulva rigida C. Ag. (C hlorophyta). Planta 196:225-30. Cox, E. J. 1987. Studies on the diatom genus Na.vicula Bory. VI. The identity, structure and ecology of some freshwater species. D iatom Research 2:159-74. Croft, hi. T ., Lawrence, A. D., Raux-Deery, E., W arren, hi. J. & Smith, A. G. 2005. Algae acquire vitam in B-12 through a symbiotic relationship w ith bacteria. Nature 438:90-93. Dobretsov, S., Teplitski, hi. & Paul, V. 2009. Mini-review: quorum sensing in the m arine environm ent and its relationship to biofouling. Biofouling 25:413-27. Evans, K. h'L, W ortley, A. H. & Mann, D. G. 2007. An assessment of potential diatom "barcode" genes (coxi, rbcL, 18S and ITS rDNA) and their effectiveness in determ ining relationships in Sellaphora (Bacillariophyta). Protist 158:349-64. Forster, R. hl., Creach, V., Sabbe, K., Vyverm an, W . & Stal, L. J. 2006. Biodiversitv-ecosystem function relationship in m icrophytobenthic diatom s of the W esterschelde estuary. Marine Ecology-Progress Series 311:191-201. Gravel, D., Bell, T., B arbera, C., Bouvier, T ., Pomm ier, T ., Venail, P. S¿ hlouquet, N. 2011. Experim ental niche evolution alters the stren g th of th e diversity-productivity relationship. Nature 469:89-92. 183 Chapter 8 Gross, E. M. 2003. Allelopathy of aquatic autotrophs. Critical Reviews in Plant Sciences 22:313-39. H addad, N. M., Holyoak, M., M ata, T. M., Davies, K. F., Melbourne, B. A. & Preston, K. 2008. Species' traits predict the effects of disturbance and productivity on diversity. Ecology Letters 11:348-56. Hay, M. E. 2009. Marine Chemical Ecology: Chemical Signals and Cues S tructure Marine Populations, Com munities, and Ecosystems. A nnual Review of Marine Science 1:193-212. Hillebrand, H. k M atthiessen, B. 2009. Biodiversity in a complex world: consolidation and progress in functional biodiversity research. Ecology Letters 12:1405-19. Hooper, D. U. 8¿ Dukes, J. S. 2004. Overyielding am ong plant functional groups in a long-term experim ent. Ecology Letters 7:95-105. Jeong, J.-H ., Jin, H.-J., Sohn, C., Suh, K.-H. &¿ Hong, Y.-K. 2000. Algicidal activity of the seaweed Corallina pilulifera against red tide microalgae. Journal o f Applied Phycology 12:37-43. Kehoe, D. M. & G utu, A. 2006. Responding to color: T he regulation of com plem entary chrom atic adaptation. Annual Review o f Plant Biology 57:127-50. Kim, C. S., Lee, S. G., Lee, C. K., Kim, H. G. k Jung, J. 1999. Reactive oxygen species as causative agents in the ichthyotoxicity of the red tide dinoflagellate Cochlodinium polykrikoides. Journal of Plankton Research 21:2105-15. Kim, D., Oda, T., M uram atsu, T ., M atsuyam a, Y. k Honjo, T. 2002. Possible factors responsible for the toxicity of Cochlodinium polykrikoides, a red tide Biochem istry and Physiology phvtoplankton. Comparative C-Toxicology & Pharmacology 132:415-23. King, A. L., Sanudo-W ilhelmy, S. A., Leblanc, K., Hutchins, D. A. k Fu, F. 2011. C 02 and vitam in B 12 interactions determ ine bioactive trace m etal requirem ents of a subarctic Pacific diatom . ISM E J:in press. Kinzig, A. P ., Pacala, S. k Tilm an, G. D. 2002. Consequences o f Biodiversity: Empirical Theoretical Extensions. Princeton Univ. Press, The Functional Progress and K ram m er, K. k Lange-B ertalot, H. 1986-1991. Bacillariophyceae. In : Ettl, H., Gerloff, J., He.vnig, H. k Mollenhauer, D. [Eds.] 184 General Discussion Süßwasserflora S tu ttg a rt/Je n a . von Mitteleuropa. G ustav Fischer Verlag, Krom kam p, J., B arranguet, C. k Peene, J. 1998. D eterm ination of m icrophytobenthos PSII quantum efficiency and photosynthetic activity b)' m eans of variable chlorophyll fluorescence. Marine Ecology-Progress Series 162:45-55. Leao, P. N., Pereira, A. R., Liu, W. T ., Ng, J., Pevzner, P. A., Dorrestein, P. C., König, G. M., Vasconcelosa, V. M. k Gerwick, W. H. 2010. Synergistic allelochemicals from a freshwater cyanobacterium. Proceedings o f the National Academ y of Sciences o f the United States o f Am erica 107:11183-88. Legrand, C., Rengefors, K., Fistarol, G. 0 . k Graneli, E. Allelopathy in phytoplankton - biochemical, evolutionary aspects. Phycologia 42:406-19. Loreau, M. k Hector, A. 2001. Partitioning 2003. ecological and selection and com plem entarity in biodiversity experiments. Nature 412:72-76. Loreau, kl., Naeem, S. k Inchausti, P. 2002. Biodiversity and Ecosystem Functioning: Synthesis and Perspectives. Oxford Univ. Press, M aherali, H. k Klironomos, J. N. 2007. Influence of Phylogeny on fungal com m unity assembly 316:1746-48. and ecosystem functioning. Science M anley, S. L. k Barbero, P. E. 2001. Physiological constraints on bromoform (CHBr3) production by Ulva lactuca (Chlorophyta). Limnology and Oceanography 46:1392-99. ¡Mann, D. G. 1999. The species concept in diatom s. Phycologia 38:437-95. M arshall, J. A., de Salas, M., Oda, T. k Hallegraeff, G. 2005. Superoxide production by m arine microalgae. M arine Biology 147:533-40. M iralto, A., Barone, G., Romano, G., Poulet, S. A., Ianora, A., Russo, G. L., B uttino, I., Mazzarella, G., Laabir, M., C abrini, M. k Giacobbe, M. G. 1999. T he insidious effect of diatom s on copepod reproduction. Nature 402:173-76. Nilsson, C. k Sundback, K. 1996. Amino acid uptake in natural m icrophytobenthic assemblages studied by m icroautoradiography. Hydrobiologia 332:119-29. Ohsawa, N., Ogata, Y., Okada, N. k Itoha, N. 2001. Physiological function of bromoperoxidase in the red m arine alga, Corallina pilulifera: production of bromoform as an allelochemical and the sim ultaneous elim ination of hydrogen peroxide. Phytochemistry 58:683-92. 185 Chapter 8 Paterson, D. M. 1989. Short-Term Changes in th e Erodibility of Intertidal Cohesive Sedim ents R elated to the M igratory Behavior of Epipelic Diatoms. Limnology and Oceanography 34:223-34. Paterson, D. M., Perkins, R. G., Consalvey, M. C. & Underwood, G. J. C. 2003. Ecosystem function, cell micro-cycling and the structure of transient biofilms. In: Krum bein, W . E., Paterson, D. M. & Zararzin, G. A. [Eds.] Fossil and recent Biofilms. A Natural H istory o f Life on Dordrecht, pp. 47-64. Earth. Kluwer Academic Publishers, Paul, C. & Pohnert, G. 2011. Production and role of volatile halogenated compounds from m arine algae. Natural Product Reports 28:18695. Pohnert, G., Steinke, M. & Tollrian, R. 2007. Chemical cues, defence m etabolites and th e shaping of pelagic interspecific interactions. Trends in Ecology & Evolution 22:198-204. Poulson, K. L., Sieg, R. D. & Kubanek, J. 2009. Chemical ecology of the m arine plankton. Natural Product Reports 26:729-45. Ptacnik, R., Solimini, A. G., Andersen, T., Tam m inen, T ., B rettum , P., Lepisto, L., Willen, E. & Rekolainen, S. 2008. Diversity predicts stability and resource use efficiency in natural phvtoplankton communities. Proceedings o f the National Academ y o f Sciences o f the United States o f Am erica 105:5134-38. Reiss, J., Bridle, J. R., M ontoya, J. hi. & W oodward, G. 2009. Emerging horizons in biodiversity and ecosystem functioning research. Trends in Ecology & Evolution 24:505-14. Sabbe, K. 1997. System atics and ecology o f intertidal benthic diatoms of the Westerschelde estuary (The Netherlands). PhD thesis, Ghent University. Saburova, M. A., Polikarpov, I. G. & Burkovsky, I. V. 1995. Spatial stru ctu re of an intertidal sandflat m icrophytobenthic com m unity as related to different spatial scales. M arine Ecology-Progress Series 129:229-39. Saez, A. G., Probert, I., Geisen, hi., Quinn, P ., Young, J. R. & hledlin, L. K. 2003. Pseudo-cryptic spéciation in coecolithophores. Proceedings o f the National Academ y o f Sciences of the United States o f Am erica 100:7163-68. Salawitch, R. J. 2006. Atm ospheric chemistry: Biogenic bromine. Nature 439:275-77. 186 General Discussion Sheffield, D. J., Harry, T . R., Smith, A. J. & Rogers, L. J. 1995. Corallina officinalis bromoperoxidase immobilized on agarose. Phytochem istry 38:1103-07. Slapeta, J., Lopez-Garcia, P. & Moreira, D. 2006. Global dispersal and ancient cryptic species in the smallest Molecular Biology and Evolution 23:23-29. marine eukaryotes. Stachowicz, J. J., Bruno, J. F. & Duffy, J. E. 2007. U nderstanding the effects of m arine biodiversity on communities and ecosystems. A nnual Review o f Ecology Evolution a,nd System atics 38:739-66. Stomp, M., Huisman, J., de Jongh, F., V eraart, A. J., Gerla, D., Rijkeboer, M., Ibelings, B. W ., Wollenzien, U. I. A. & Stal, L. J. 2004. A daptive divergence in pigm ent composition promotes phytoplankton biodiversity. Nature 432:104-07. Striebel, M., Behl, S., Diehl, S. & Stibor, H. 2009. Spectral niche com plem entarity and carbon dynamics in pelagic ecosystems. A m erican N aturalist 174:141-47. Sturges, W. T ., Cota, G. F. & Buckley, P. T. 1992. Bromoform emission from arctic ice algae. Nature 358:660-62. Tsuchikane, Y., Ito, hl. S¿ Sekimoto, H. 2008. R eproductive isolation by sex pheromones in the Closterium peracerosum - Strigosum littorale complex (Zygnematales, Charophyceae). Journal of Phycology 44:1197-203. Underwood, G. J. C., Perkins, R. G., Consalvey, hi. C., Hanlon, A. R. hl., Oxborough, K., Baker, N. R. & Paterson, D. hi. 2005. P attern s in m icrophytobenthic prim ary productivity: Speciesspecific variation in m igratory rhythm s and photosynthetic efficiency in mixed-species biofilms. Limnology and Oceanography 50:755-67. Underwood, G. J. C. & Provot, L. 2000. Determ ining the environm ental preferences of four estuarine epipelic diatom taxa: grow th across a range of salinity, nitrate and ammonium conditions. European Journal of Phycology 35:173-82. Vanelslander, B. 2004. Intra- en inter specifieke variatie in fenotype en genotype by estuariene Navicula soorten. hlSc thesis, Ghent University. W ang, Y., Zhou, B. & Tang, X. X. 2009. Effects of two species of macroalgae- Ulva pertusa and Gracilaria lemanciformis-on growth of Heterosigma akashiwo (Raphidophyceae). Journal o f Applied Phycology 21:375-85. 187 Chapter 8 Weinberger, F., Coquempot, B., Forner, S., M orin, P ., Kloareg, B. & Potin, P. 2007. Different regulation of haloperoxidation during agar oligosaccharide-activated defence mechanisms in two related red algae, Gracilaria sp and Gracilaria chilensis. Journal of Experim ental Botany 58:4365-72. Worm, B., Barbier, E. B., Beaum ont, N., Duffy, J. E., Folke, C., Halpern, B. S., Jackson, J. B. C., Lotze, H. K., Micheli, F., P alum bi, S. R ., Sala, E., Selkoe, K. A., Stachowicz, J. J. & W atson, R. 2006. Im pacts of biodiversity loss on ocean ecosystem services. Science 314:787-90. 188 Sum m ary H um anity has become a m ajor biogeochemical force and hum an dom ination of the planet has caused massive destruction and fragm entation of natural habitats, eutrophication, clim ate change, acidification, etc which caused a dram atic biodiversity loss. This biodiversity crisis raised concern about the consequences of biodiversity loss on ecosystem properties and th e goods and services these ecosystems provide to hum anity. T he m ain aim of this thesis was to gain a better understanding of the diversity and functioning of estuarine benthic microalgae com m unities. Estuarine ecosystems provide some essential ecosystem services to hum ans such as carbon fixation, sustaining fisheries, coastal protection and nitrogen cycling. Although these estuaries cover relatively small areas on a global scale, their im portance for several biogeochemical processes is disproportionately large. We focused on benthic microalgae inhabiting estuarine sediments; these algae have m any essential functions for estuarine and coastal ecosystems: e.g. they are the basis of the food chain for m any coastal species, m ediate nutrient fluxes and stabilize sediments. A fundam ental requirem ent to gain insights in biodiversity and ecosystem function relationships is a solid knowledge of the diversity. Assessing diversity is not as trivial as it may seem a t first, especially in microbial communities. Traditionally, species have been defined based on morphological properties. A m ultitude of molecular studies however have dem onstrated th a t morphologically defined species often consist of several genetically distinct lineages. Such genetically distinct b u t morphologically indistinguishable species are called “cryptic species”, whereas the term “pseudocr 3 rptic species” refers to th e occurrence of morphologically similar species which a t a closer look do exhibit subtle morphological differences between species. In m ost cases it is unknown w hether (pseudo)cryptic species differ in their ecological preferences or w hether they are functionally equivalent. This notion is not only im portant for questions relating diversity and ecosystem function, b u t also to understand m echanisms th a t prom ote cryptic species coexistence. In C h a p ter 2, we used sequence d a ta of 3 different genetic m arkers (ITS rDNA, th e 18S rRNA gene and rbcL) together w ith cell 189 Summary wall morphology to show th a t estuarine populations of th e widespread and common benthic diatom Navicula phyllepta K ütz. consist of pseudocryptic species. ¡Moreover, we show th a t these pseudocrvptic species differed in their tolerance to low salinities (< 5 practical salinity units, psu), which was reflected by their different (but widely overlapping) distribution in the W esterschelde estuary (the Netherlands). O ur results show th a t N. phyllepta sensu lato comprises different species w ith specialized ecophysiological characteristics rather th an generalists w ith a broad adaptability to different environm ental conditions. In C h a p ter 3 we further investigated th e ecological divergence in closely related (pseudo)cryptic microalgae and assessed p attern in phylogenetic relatedness and ecological niche sim ilarity. We explored if therm al niches can evolve fast on an evolutionary timescale resulting in regular switches between climates or if these niches are instead highly conserved. W e composed a set of closely related strains of the globally distributed diatom genus Cylindrotheca. We collected strains from a v/ide range of m arine habitats, from coastal plankton to sea ice and intertidal m udflats. W e first inferred the evolutionary relationships of these strains using a m ulti-locus DNA dataset and obtained a well-resolved phylogeny. W e th en determ ined tem perature preferences of closely related lineages in laboratory experim ents. Combining th e molecular phylogeny w ith the therm al niches of lineages revealed a very weak phylogenetic signal in therm al niche characteristics. This indicates th a t closely related species tend to differ more in therm al niche th a n expected b}' a random walk model. This seems to be caused by a com bination of adaptive evolution and frequent shifts in environm ents in related lineages. Species specific niches and functional traits are not only im p o rtan t for species coexistence and biodiversity-ecosvstem function relations (see below), they may also determ ine how species can cope with disturbance. In C h a p ter 4, we examined th e relations between the hydrodynam ic disturbance, biomass, species diversity and functional group turnover in estuarine intertidal m icrophytobenthos. W e used an extensive dataset of benthic diatom assemblages covering a wide range of hydrodynam ic disturbance to show th a t growth form and cell size are im p o rtan t tra its to predict the effect of disturbance on functional group species richness. Total m icrophytobenthos species richness displayed a unim odal relationship w ith hydrodynam ic disturbance and standing stock 190 Summary biomass. O ur results are consistent with the interm ediate disturbance hypothesis which implicitly assumes th a t there is a trade-off in functional traits determ ining competitive ability and disturbance tolerance. These trade-offs lead to maximal diversity when com petitive and disturbance tolerant species are able to coexist. In C h ap ter 5 we assessed the effects of species diversity on productivity of intertidal m icrophytobenthos. W e used naturally co­ occurring diatom species from intertidal m udflats to experimentally assemble communities with decreasing diversity. O ur results dem onstrate a highly positive biodiversity effect on production, w ith mixtures outperform ing th e most productive com ponent species in more th an half of the combinations. These strong positive diversity effects could largely be a ttrib u ted to facilitation and com plem entarity effects. In addition, we show m echanistic evidence for facilitation which is partly responsible for enhanced production. We show th a t a strain of Cylindrotheca closterium has th e ability to significantly increase its biomass production in response to substances leaked into the culture medium by other diatom species. In these conditions, the species drastically reduced its concentration, which is typical for m ixotrophic growth. pigment In C h a p ter 6, I show th at, next to positive, facilitative interactions, direct negative interactions (allelopathy) can strongly influence species composition in m icrophytobenthos. I show th a t cell cultures of the m arine benthic diatom N. cf pellucida exude metabolites w ith strong allelopathic effects. All nine com petitor species tested were inhibited in their growth and some in their photosvnthetic efficiency as well. In addition, I show the occurrence of reciprocal, density dependent allelopathic interactions between N. pellucida and two other marine benthic diatom species, Entom oneis paludosa and Stauronella sp. These results suggest th a t allelopathic interactions m ight be common in benthic microalgal communities and m ay explain small -scale spatial distribution p attern s observed in nature. In C h a p ter 7, I dem onstrate the physiological and molecular basis of allelopathic interactions caused by N itzschia cf. pellucida. I show this m arine benthic diatom produces chemical cues th a t cause chloroplast bleaching and a reduced photosynthetic efficiency leading to growth inhibition and massive cell lysis in naturally co-occurring competing 191 Summary microalgae. Using headspace solid phase m icroextraction (HS-SPME) GC-MS, I dem onstrate th a t this diatom exudes a diverse m ixture of volatile iodinated and brom inated m etabolites including the new natural products cyanogen bromide (BrCN) and cyanogen iodide (ICN) which exhibits pronounced allelopathic activity. Besides these effective m etabolites, this diatom also produces a diverse m ixture of mono- di- and trihalom ethanes, halogenated acetaldehydes and iodopropane with com paratively lower allelopathic properties. Production of these toxins is light-dependent with a short toxin burst after sunrise. This labile compound thus acts as a short-term signal, leading to dailj- “cleaning” events around the algae. W e show th a t th e allelopathic effects are H 2 O2 dependent and therefore link BrCN production to haloperoxidase activity. T his novel strategy of chemical warfare is a highly effective means of biofilm control. Obviously, such strategy contributes to complex micro­ landscapes m aintained by interacting species and m ay boost the smallscale patchy growth habits of biofilm forming species. Our results also provide a potential explanation for the poorly understood role of volatile halocarbons from m arine algae which contribute significantly to the atm ospheric halocarbon budget. Overall, our results contribute to th e understanding of the species com position and functional organization of complex phototrophic biofilms and its consequences for ecosystem functioning. W e suggest th a t cryptic diversity is widespread am ong estuarine diatom s and th a t this diversity is linked with ecophvsiological differentiation and h ab itat partitioning bv closely related species. Over large environm ental gradients it appears th a t lineages behave in a conservative fashion, in the sense th a t they are lim ited in their distribution to suitable hydrodynam ical conditions. At th e local scale, strong positive and negative interactions (facilitation, allelopathy) seem to be im portant in these diatom communities. 192 Summary S a m e n v a ttin g De menselijke overheersing van de planeet veroorzaakt een massale vernietiging en versnippering van natuurlijke habitats, eutrofiëring, klim aatverandering, verzuring, etc die allen leiden to t een drastisch verlies aan biodiversiteit. Deze biodiversiteitscrisis leidde to t ongerustheid over de gevolgen van biodiversiteitverlies voor het functioneren van ecosystemen en de goederen en diensten deze ecosystemen leveren aan de mensheid. Het belangrijkste doei van dit proefschrift was om een beter begrip van de diversiteit en het functioneren van estuariene benthische microalgen gem eenschappen te verkrijgen. Estuariene ecosystemen leveren een aantal essentiële ecosysteemdiensten zoals koolstoffixatie, het ondersteunen van de visserij en de bescherming van de kustgebieden. Ondanks d a t deze estuaria slechts een relatief klein oppervlak innemen op wereldschaal, is het belang van estuaria voor verschillende biogeochemische processen onevenredig groot. Deze scriptie focuust op estuariene benthische microalgen; deze algen hebben vele essentiële functies voor estuariene en m ariene ecosystemen. Ze vormen de basis van de voedselketen voor vele kustsoorten, beinvloeden nutriëntencycli en zorgen voor sedim ent stabilisatie. Een fundam entele vereiste om inzicht te verkrijgen in de relatie tussen biodiversiteit en ecosysteemfuncties is een gedegen kennis van de diversiteit. Het schatten van de diversiteit van microbiële gemeenschappen is niet zo triviaal ais het lijkt. Traditioneel zijn soorten gedefinieerd op basis van morfologische eigenschappen. Een veelheid van moleculaire studies hebben echter aangetoond d a t morfologisch omschreven soorten echter vaak bestaan verschillende groepen. Dergelijke genetisch uit meerdere genetisch te onderscheiden, m aar morfologisch niet te onderscheiden soorten worden "cryptische soorten" genoemd, terwijl de term "pseudocryptische soorten" verwijst naar morfologisch verw ante soorten die subtiele morfologische verschillen vertonen. In de m eeste gevallen is het onbekend of (pseudo)cryptische soorten verschillen in hun ecologische voorkeuren of d at ze functioneel gelijkwaardig zijn. Inzicht in de ecologische niche van nauwverwante (pseudo) cryptische soorten is niet alleen belangrijk voor vragen betreffende diversiteit en het functioneren van ecosystemen, m aar ook 193 Summary voor een beter begrip van de mechanismen die sam en voorkomen van cryptische soorten bevorderen. In H o o fd stu k 2 gebruikten we DNA sequentie gegevens van 3 verschillende genetische merkers (ITS rDNA, het 18S rRNA-gen en rbcL) samen m et morfologische kenmerken van de celwand om aan te tonen dat estuariene populaties van de wijdverspreide benthische diatom ee No,ricula phyllepta bestaan uit verschillende pseudocryptische soorten. Bovendien tonen we aan d at deze pseudocryptische soorten verschillen in hun tolerantie voor lage zoutconcentraties (< 5 PSU), w at to t uiting kwam door hun verschillende (m aar grotendeels overlappende) verspreiding in de W esterschelde (Nederland). Onze resultaten tonen aan d at N. phyllepta sensu lato bestaat uit verschillende soorten m et specicifieke ecofysiologische karakteristieken, het is dus geen generalistische soort met een breed aanpassingsvermogen aan verschillende milieu-omstandigheden. In H o o fd stu k 3 onderzochten we verder of er ecologische verschillen tussen de nauw verwante (pseudo)cryptische microalgen bestaan en onderzochten we de relatie tussen fylogenetische verwantschap en gelijkenis in ecologische niches. We onderzochten of tem peratuursniches snel kunnen evolueren op een evolutionaire tijdschaal. We verzamelden hiervoor een reeks van nauw verwante stam m en van het wereldwijd verspreide diatom eeëngeslacht Cylindrotheca. We verzamelden stam m en uit een breed scala van mariene habitats, van kust plankton to t zee-ijs en intertidale slikken. We onderzochten de evolutionaire relaties van deze stam m en m et behulp van een multi-locus D N A -dataset en verkregen een goed ondersteunde fylogenetische boom. D aarna bepaalden we de tem peratuurpreferenties van nauw verwante stam m en in ecofysiologische experim enten. Het combineren van de moleculaire fylogenie m et de tem peratuursniche van deze stam m en toonde aan d at er een zeer zwak fylogenetisch signaal in de therm ische niche was. D it geeft aan dat nauw verwante soorten de neiging hebben om meer in therm ische niche af te wijken dan verw acht door een random walk model. Dit lijkt te worden veroorzaakt door een combinatie van adaptieve evolutie en frequente verschuivingen in de leefomgeving van deze stam m en. Soortsspecifieke niches en functionele kenmerken zijn niet alleen belangrijk voor soorten samenleven en biodiversiteit-ecosysteern functie relaties (zie hieronder), zij kunnen ook bepalen hoe soorten kunnen 194 Summary om gaan m et verstoringen. In H o o fd stu k 4 onderzochten we de relaties tussen hydrodynam ische verstoring, biomassa, diversiteit en functionele kenm erken van estuariene bodembewonende microalgen. W e gebruikten een uitgebreide dataset van bodembewonende diatomeeëngemeenschappen. W e toonden aan d at het effect van verstoring op functionele groep soortenrijkdom deels kan verklaard worden door de groeivorm en celgrootte van de bodembewonende microalgen. De totale soortenrijkdom vertoonde een unimodale relatie met hydrodynam ische verstoring. Onze resultaten zijn in overeenstemming m et de interm ediate disturbance hypothese. In H o o fd s tu k 5 onderzochten we de effecten van de soortenrijkdom op de productiviteit van estuariene bodembewonende microalgen. We gebruikten diatomeeënsoorten die sam en in intergetijde m odderplaten voorkomen om experimentele gemeenschappen met afnemende diversiteit sam en te stellen. Onze resultaten wezen op een positief effect van diversiteit op de biomassa productie, waarbij soortenmengsels meer biomassa produceerden dan de m eest productieve soorten in m onocultuur. Deze sterk positieve effecten kunnen grotendeels v/orden toegeschreven aan facilitatie en niche com plem entariteit. Bovendien tonen we een mechanisme voor facilitatie. We toonden aan dat een stam van de diatomeeënsoort Cylindrotheca closterium de potentie heeft om zijn groei aanzienlijk te versnellen door suikers op te nemen die door andere diatom eeënsoorten uitgescheiden werden. In H o o fd stu k 6, toon ik aan dat, naast positieve, faciliterende interacties ook direct negatieve interacties (allelopathie) sterk de soortensam enstelling van bodembewonende microalgen kan beïnvloeden. Ik toon aan d at celculturen van de m ariene benthische diatom ee N. cf pellucida m etabolieten m et sterke allelopathic effecten uitscheiden. Alle geteste diatom eeënsoorten werden geremd in hun groei en stierven uiteindelijk n a blootstelling aan N. cf pellucida. D aarnaast toon ik d a t er wederkerig, dichtheidsafhankelijke allelopathische interacties bestaan tussen N. pellucida en twee andere mariene benthische diatomeeën soorten, Entom oneis paludosa en Stauronella sp. Deze resultaten suggereren d at allelopathic interacties algemener kunnen zijn dan gebruikelijk verwacht w ordt en deze interacties helpen meer inzicht te verkrijgen in kleinschalige ruim telijke variatie in het voorkomen van soorten. 195 Summary In H o o fd stu k 7, toon ik de fysiologische en moleculaire basis van allelopathic interacties veroorzaakt door Nitzschia cf pellucida. Ik toon aan d a t deze mariene benthische diatom ee m etabolieten uitscheidt die chloroplasten van concurrerende soorten afbleken w at leidt to t een verlaagde fotosynthetische efficiëntie en uiteindelijk massale celsterfte. M et behulp van vaste fase m icro-extractie (SPME) - gaschromatografie gekoppeld aan een m assaspectrom eter (GC-MS), toon ik aan d at deze diatom eeën een diverse mix van vluchtige jodium houdende en gebromeerde m etabolieten produceert, inclusief de nieuwe natuurlijke producten broomcyanide (BrCN) en iodiumcyanide (ICN). N aast deze extrem e giftige m etabolieten produceert deze diatom eeënsoort ook een diverse mix van mono- di- en trihalom ethanen, gehalogeneerde acetaldehydes en iodopropaan. De productie van deze gehalogeneerde producten is lichtafhankelijk, m et een korte puls van BrCN kort na zonsopgang. Deze labiele verbinding w erkt dus ais een korte-term ijnsignaal, w at leidde to t de dagelijkse "reiniging" rond de algen. W e tonen aan d at de vorming van allelopathische stoffen waterstofperoxide (H 2 O 2 ) afhankelijk is en linken dus BrCN productie aan haloperoxidase activiteit. Deze nieuwe strategie van chemische oorlogsvoering is een zeer effectief m iddel van biofilm controle. Dergelijke strategie draagt bij to t het o n tstaan van complexe m icro-landschappen door biotische interacties. Onze resultaten bieden ook een mogelijke verklaring voor weinig begrepen, m aar globaal belangrijke uitstoot van vluchtige gehalogeneerde koolwaterstoffen door mariene algen. Ais conclusie kunnen we stellen d at onze resultaten bijdragen tot een beter begrip van de soortensam enstelling en functionele organisatie van complexe fototrofe biofilms en de gevolgen daarvan voor het functioneren van deze ecosystemen. Wij suggereren d a t cryptische diversiteit wijdverbreid is bij estuariene diatom eeën en d at deze diversiteit verbonden is met ecofysiologische differentiatie tussen nauw verw ante soorten. Over grote m ilieu-gradiënten blijkt d a t soorten zich op een conservatieve wijze gedragen, in de zin d at ze beperkt zijn in hun verspreidingsgebied worden om geschikte hydrodynamische om standigheden. Op de lokale schaal zijn wellicht sterk positieve en negatieve interacties (facilitatie, allelopat.hie) belangrijk voor deze diatom eeën gemeenschappen. 196 A c k n o w le d g m e n ts F irst of all I would like to thank Prof. Wim Vyverman who gave me the chance to work in his lab. I ’m very grateful for his enduring support, advice and ideas, patience, for the m uch appreciated freedom he gave me, for the m anuscript editing and m uch more. Prof. Koen Sabbe shared me his fascination w ith th e wonderful and weird world of microphytobenthos. I’m thankful for his enthusiasm , support, ideas, constructive criticism, for providing th e lab with th e superb PAM fluorometer (which saved me a lot of time), m anuscript editing and much more. Koen and Wim: a big thanks to both of you for developing the lab into w hat it is now! I th ank Prof. Georg P ohnert for inviting me into his lab. It was one of th e m ost exciting times of my PhD! Those nine weeks a t his ‘Bioorganic A nalytics’ research group opened m y eyes to the emerging and thrilling field of m arine chemical ecology. Also thanks to his lab members for their sweet kindness and helpfulness which made m y stay one to remember. M any thanks to Pieter Vanormelingen (“m anusje van alles” in the lab) for the m any interesting discussions, helpful advice and for supporting irie when I was writing my first paper. I would also like to thanks Aaike De W ever for introducing me into R, again nice discussions and support when w riting my second paper. I would also like to thank Victor Chepurnov v/ho introduced me into the world of diatom culturing and more broadly into scientific research. The skills he learned me were essential for the PhD I completed now. Also thanks for supplying me some very nice pictures of intertidal diatoms such as the one on the frontpage of this PhD. M any thanks to Sofie D ’hont and Tine V erstraete for the superb molecular work which was done a t an impressive speed! 197 T hanks to all the other members of the PA E lab for th e nice atmosphere, entertainm ent and distraction, nice lab excursions and so on. A special thanks to the “support staff” to keep the lab clean and running! Mijn liefste ouders verdienen uiteraard een ongelooflijk dikke merci voor alle zorg, aanmoediging en liefde. Heel erg bedankt voor jullie on voorwaardelijke steun en om er altijd te zijn voor mij!! Mijn vriendin Ellen wil ik danken voor alle mooie momenten, ondanks de weinige tijd die er was. Voor alle zorg en steun, om er te zijn, voor alles. Bedankt! 198 C u r r ic u lu m v ita e B art Vanelslander (°1981, Bruges, Belgium) graduated as a biologist at G hent U niversity in 2004. In 2005 he started a PhD in the Laboratory of Protistology and A quatic Ecology in the Biologj' departm ent of G hent University. As a research assistant he organised and supervised many laboratory classes and field courses. During his PhD , B art supervised m any Bachelor and blaster students during their thesis. B art is the author of several publications in international peerreviewed academ ic journals. He also presented his research a t several European conferences. B art acted as a referee for several international journals such as PLoS ONE, Phycological Research and Journal of Applied Phycolog}-. He also refereed a research proposal for the U.S. National Science Foundation (N.S.F.). B art visited the Friedrich Schiller University of Jena (Germany) for two m onths where he worked a t the chemical ecology lab of Prof. Georg Pohnert. B art also visited the lab of Prof. Ulf K arsten (Rostock University, Germ any) and th e sedim ent ecology research group of Prof. David P aterson (St Andrews University, U.K.) for a study visit and a training course. A r tic le s in in te r n a tio n a l jou rn als in clu d ed in th e IS I W eb o f S cien ce index: Creach, V., E rnst, A., Sabbe, K., V a n elsla n d er, B ., Vyverm an, W. & Stal, L.J. (2006) Using q uantitative P C R to determ ine the distribution of a semicryptic benthic diatom , Navicula phyllepta (Bacillariophyceae). Journal of Phycology, 42, 1I42-1I54. Van Colen, C., Lenoir, J., De Backer, A., V a n elsla n d er, B ., Vincx, bí., Degraer, S. k Y sebaert, T. (2009) Settlem ent of Macoma balthica larvae in response to benthic diatom films. Marine Biology, 156, 2161-2171. van Grem berghe, I., Vanormelingen, P ., V a n elsla n d er, B ., Van der G ucht, K., D 'H ondt, S., De bleester, L. k Vyverm an, W . (2009) G enotype-dependent interactions among S3 'm patric M icrocystis strains m ediated by Daphnia grazing. Oikos, 118, 1647-1658. 199 V a n elsla n d er, B ., Creach, V., Vanormelingen, P ., Ernst, A., Chepiirnov, V. A., Sahan, E., Muyzer, G., Stal, L. J., Vyverman, W. & Sabbe, K. 2009a. Ecological differentiation betw een sym patric pseudocryptic species in the estuarine benthic diatom Navicula phyllepta (Bacillariophyceae). Journal o f Phye oiogy 45:1278-89. V a n elsla n d er, B ., De Wever, A., Van Oostende, N., K aew nuratchadasorn, P., Vanormelingen, P ., Hendrickx, F., Sabbe, K. & Vyverman, W. 2009b. Com plem entarity effects drive positive diversity effects on biomass production in experim ental benthic diatom biofilms. Journal o f Ecology 97:1075-82. Sabbe, K.; V a n elsla n d er, B.; Ribeiro, L.; W itkowski, A.; M uylaert, K. & Vvyerman, W. (2010) A new genus, Pierrecomperia gen. nov., a new species and two new combinations in the m arine diatom family Cymatosiraceae. Life and Environm ent 60(3): 243-256. 200 UNIVERSITEIT GENT