Digital expression profiling of novel diatom transcripts provides insight into their biological functions
- Uma Maheswari1, 2,
- Kamel Jabbari1, 3,
- Jean-Louis Petit3,
- Betina M Porcel3,
- Andrew E Allen†1, 4,
- Jean-Paul Cadoret†5,
- Alessandra De Martino†1,
- Marc Heijde†1,
- Raymond Kaas†5,
- Julie La Roche†6,
- Pascal J Lopez†1,
- Véronique Martin-Jézéquel†7,
- Agnès Meichenin†1,
- Thomas Mock†8, 9,
- Micaela Schnitzler Parker†8,
- Assaf Vardi†1, 10,
- E Virginia Armbrust8,
- Jean Weissenbach3,
- Michaël Katinka3 and
- Chris Bowler1Email author
© Maheswari et al; licensee BioMed Central Ltd. 2010
Received: 23 October 2009
Accepted: 25 August 2010
Published: 25 August 2010
Diatoms represent the predominant group of eukaryotic phytoplankton in the oceans and are responsible for around 20% of global photosynthesis. Two whole genome sequences are now available. Notwithstanding, our knowledge of diatom biology remains limited because only around half of their genes can be ascribed a function based onhomology-based methods. High throughput tools are needed, therefore, to associate functions with diatom-specific genes.
We have performed a systematic analysis of 130,000 ESTs derived from Phaeodactylum tricornutum cells grown in 16 different conditions. These include different sources of nitrogen, different concentrations of carbon dioxide, silicate and iron, and abiotic stresses such as low temperature and low salinity. Based on unbiased statistical methods, we have catalogued transcripts with similar expression profiles and identified transcripts differentially expressed in response to specific treatments. Functional annotation of these transcripts provides insights into expression patterns of genes involved in various metabolic and regulatory pathways and into the roles of novel genes with unknown functions. Specific growth conditions could be associated with enhanced gene diversity, known gene product functions, and over-representation of novel transcripts. Comparative analysis of data from the other sequenced diatom, Thalassiosira pseudonana, helped identify several unique diatom genes that are specifically regulated under particular conditions, thus facilitating studies of gene function, genome annotation and the molecular basis of species diversity.
The digital gene expression database represents a new resource for identifying candidate diatom-specific genes involved in processes of major ecological relevance.
In the current catalogue of eight major groups of eukaryotic taxa , the majority of well explored model organisms belong to the plant (Archaeplastida) and the animal (Opisthokonta) groups, which both evolved from primary endosymbiotic events that generated chloroplasts and mitochondria. The heterokonts, on the other hand, probably evolved from serial secondary endosymbiosis events in which a heterotrophic eukaryote engulfed both autotrophic red and green eukaryotic algae [2–4]. As a consequence, these organisms derive from the combination of three distinct nuclear genomes. The group includes highly diverse, ecologically important photosynthetic groups, such as diatoms, as well as non-photosynthetic members, such as oomycetes (for example, Phytophthora infestans, the causative agent of potato late blight).
Diatoms typically constitute a major component of phytoplankton in freshwater and marine environments. They are involved in various biogeochemical cycles, most notably those involving carbon, nitrogen and silicon, and contribute 30 to 40% of marine primary productivity [5, 6]. Consequently, they are responsible for approximately one-fifth of the oxygen that is generated through photosynthesis on our planet. Morphologically, they exhibit different shapes and symmetries, the centric diatoms being radially symmetric and the pennates displaying bilateral symmetry. In spite of their tremendous ecological importance, the molecular mechanisms that enable them to succeed in a range of diverse environments remain largely unexplored.
Results from the first diatom genome projects from Thalassiosira pseudonana and Phaeodactylum tricornutum showed the presence of various genes needed for efficient management of carbon and nitrogen - for example, encoding urea cycle components [7, 8]. However, these studies could only predict the functions of around 55% of diatom genes. The comparative study of the two diatom genomes  revealed that only 57% of genes are shared between the two diatoms, and that horizontal gene transfer from prokaryotes is pervasive in diatoms. Thus, the necessity for functional genomics and reverse genetics approaches to further explore diatom gene repertories is clear.
P. tricornutum is a pennate diatom that has been extensively studied physiologically and phylogenetically. In addition, it does not have an obligate requirement for silicic acid like other diatoms, and can undergo morphological transitions between three possible morphotypes . The organism harbors a small genome (27.4 Mb) , it can be routinely transformed with efficiencies superior to those reported for other diatoms [10–13], and gene silencing is now possible using RNA interference . For these reasons P. tricornutum is emerging as a model species for dissecting diatom molecular and cellular biology [15–20].
In a pilot study of the P. tricornutum genome using 1,000 cDNAs, only 23.7% of sequences could be functionally defined using homology-based methods . This study was later expanded to 12,136 cDNAs , which facilitated comparative genomic studies of P. tricornutum with available genomes from the green alga Chlamydomonas reinhardtii , the red alga Cyanidioschyzon merolae , and the centric diatom T. pseudonana . A number of interesting observations were made from such analyses about the evolutionary origins of individual genes . This encouraged us to expand the EST repository by generating cDNA libraries from cells grown under different conditions of ecological relevance to increase the probability of obtaining unique gene expression profiles and to study the conditions in which they are induced. We describe herein statistical methods as well as comparative and functional studies to identify genes that are differentially expressed in 16 different conditions based on 132,547 cDNAs cloned and sequenced from P. tricornutum. These resources permit a systematic understanding of the molecular mechanisms underlying acclimation of this diatom to different nutrient conditions and its responses to various biotic and abiotic stresses, and should aid our understanding of the function of diatom-specific genes.
Gene expression diversity across different cDNA libraries
List of different libraries and culture conditions together with library statistics
Pt1 clone 8.6 (CCAP1055/1)
Pt1 clone 8.6 (CCAP1055/1)
350 uM metasilicate in ASW
Pt1 clone 8.6 (CCAP1055/1)
No metasilicate addition
Low salinity (10% ASW)
Pt1 clone 8.6 (CCAP1055/1)
1.12 mM in chemostat
Pt1 clone 8.6 (CCAP1055/1)
50 μM for 3 days in chemostat
Pt1 clone 8.6 (CCAP1055/1)
Pt1 clone 8.6 (CCAP1055/1)
Grown at 15°C
Pt1clone 8.6 (CCAP1055/1)
0.5 μg/m 2E,4E-decadienal for 6 h
Pt1 clone 8.6 (CCAP1055/1)
5 μg/m 2E,4E-decadienal for 6 h
Pt1 clone 8.6 (CCAP1055/1)
Pt1 clone 8.6 (CCAP1055/1)
48 h dark adapted cells exposed to 1 h blue light
CO2 high 4 days
Pt1 clone 8.6 (CCAP1055/1)
3.2 mM DIC for 4 days in chemostat
CO2 high 1 day
Pt1 clone 8.6 (CCAP1055/1)
3.2 mM DIC for 1 day in chemostat
To determine whether the abundance of transcripts was evenly distributed, that is, to check if the libraries have fewer sets of more abundant cDNAs (lower diversity) or several sets of evenly abundant cDNAs (higher diversity), we calculated the Simpson's reciprocal diversity index , which takes into account both the richness and evenness of transcripts in the libraries (the higher the index the higher the library diversity). Across the libraries we found the diversity index to vary from 1,218 to 268 (Figure 1b), with the nitrate replete (NR), ammonium adapted (AA), urea adapted (UA) and high decadienal (HD) libraries showing the highest diversity, and the nitrate starved (NS) and high CO2 (C1, C4) libraries showing the least diversity along with the most redundant triradiate morphotype (TM) library.
Clustering of libraries and genes based on expression
We obtained a set of non-redundant transcriptional units (TUs) by aligning the 132,547 cDNAs with the 10,402 P. tricornutum predicted gene models using the BLAST program. A total of 11,513 sequences lacked predicted gene models and were clustered instead using CAP3 . These represented a further 1,968 TUs in addition to the 8,944 TUs that aligned to the gene models . In total, we obtained 9,145 transcripts present more than once across different libraries and 3,225 single copy transcripts, thereby comprising 12,370 TUs.
Top 20 most highly expressed cDNAs across all the libraries, and their presence in different genomes
Pyridoxal phosphate-dependent decarboxylase
Solute carrier family 34
Rh-like protein/ammonium transporter
Alpha 3 frustulin
Uric acid-xanthine permease
Xanthine/uracil/vitamin C permease
Urea active isoform
Choline carnitine betaine transporter
Glyceraldehyde-3- phosphate dehydrogenase
Glyceraldehyde 3-phosphate dehydrogenase
Na+/H+ antiporter NhaC
Nucleoside diphosphate epimerase
Periplasmic l-amino acid catalytic subunit
Light harvesting protein
Chlorophyll A-B binding protein
Calcium transporting ATPase
E1-E2 ATPase-associated region
Sterol-sensing 5TM box
By comparing all of these highly expressed transcripts with those in 14 other eukaryotic genomes (see Materials and methods), we found that many are either present only in the two available diatom genomes or only in P. tricornutum (Table 2). Expression studies therefore represent a valuable resource for gene annotation in diatom and related genomes. Within the top 20 most abundant transcripts, some also encode highly conserved proteins such as glutamate dehydrogenase and glyceraldehyde-3-phosphate dehydrogenase, as well as others found in higher plants but not in animals (for example, ammonium transporter, light harvesting protein and alternative oxidase) (Table 2).
We classified transcripts into three categories: core transcripts (represented across all 16 eukaryotic genomes), diatom-specific transcripts (expanded in the two available diatom genomes), and P. tricornutum-specific transcripts. Overall expression patterns of each class are similar (Additional file 2A), supporting the hypothesis that the diatom-specific genes do indeed represent bona fide genes. Furthermore, when expression patterns in individual libraries were explored, expression of these three classes of genes was seen to vary greatly (Additional file 2B). As an example, the aldehyde treated libraries (LD, HD) share a common pattern of expressed transcripts representing diatom-specific gene families (Additional files 2A and 3). A recurrent signature within this class of transcripts are stress-related protein domains associated with cell wall and membrane components, as well as proteases, lipases, glucanase, and elicitin. Expression analysis can therefore be used as a basis to explore the function of diatom-specific genes by comparing expression of the two diatom-specific classes of genes with the expression patterns of core genes. This comparison also demonstrates that the expression of core genes is generally higher when compared to the P. tricornutum-specific genes.
Based on our R-value criteria, only 7 genes could be defined as being constitutively expressed across all 16 libraries and these included frustulins and genes involved in cell division. This set of transcripts represents a valuable resource for promoter analysis, especially to identify constitutive promoters for reverse genetics studies.
Gene Ontology term enrichment analysis
To further explore the functional significance of the library clusters and the differentially expressed genes in each library, functional annotation was performed using sequence and domain conservation analysis. For the transcripts showing sequence level similarity to 'known' proteins (Blastp, e-value <10 -5), Gene Ontology (GO) term enrichment analysis was performed using blast2GO . The GO terms of all the expressed transcripts were compared to the genes that are differentially expressed in each library. Additional file 7 shows the list of GO terms that are over-represented in each library (P < 0.001). In Additional file 7 we also show over-represented GO terms shared between libraries. The urea adapted (UA) and ammonium adapted (AA) libraries show over-representation of genes involved in nitrogen, amino acid, nucleotide and organic acid metabolism (Additional file 7), which is consistent with our knowledge of nitrogen metabolism. The blue light (BL) library contains the highest number of over-represented GO terms, and shares several categories related to photosynthesis and pigment biosynthesis with the iron limited (FL) library, such as porphyrin and tetrapyrrole biosynthesis. The significance of these shared terms with respect to metabolic management in iron starved cells has been discussed previously . Additionally, the blue light library also has some unique GO terms, related to sugar and isoprenoid metabolism, transcription and translation, that likely reflect a general activation of metabolism stimulated by light exposure of dark-adapted cultures. These terms are not shared with other libraries.
The high decadienal (HD) library displays GO terms related to steroid metabolism as well as uncharacterized proteins involved in responses to biotic stimuli. These transcripts might provide insight into mechanisms of programmed cell death in diatoms because decadienal has been implicated in regulating the process [20, 35]. The nitrate libraries (NR, NS) share a group of transporters and the nitrate replete (NR) library shows over-representation of nucleoside phosphate metabolic processes, specifically purine nucleoside triphosphate metabolism. The oval morphotype (OM) library, which is a salt stress library, shows over-representation of lipid metabolism classes whereas the triradiate morphotype (TM) library is over-represented in genes encoding active transport processes. In the high CO2 after 1 day (C1) library, COPI-vesicle-coat-related GO terms are over-represented, and in the high CO2 after 4 days (C4) library, inorganic anion transporters are over-represented. Perhaps surprisingly, in spite of clustering together in the hierarchical clustering analysis (Figure 2), the two high CO2 libraries (C1, C4) do not share any particular pathway terms. The over-representation of novel genes may be the reason for not finding any known GO terms between these two libraries, which illustrates our present ignorance of diatom biology, in spite of studying responses to a stimulus of significant ecological relevance.
InterPro domain analysis
As an additional approach to examine the functional significance of differentially expressed transcripts, we explored domain content using InterPro . We first classified putative proteins into two groups, those containing InterPro domains were denoted 'proteins with defined functions' (PDFs), and those with no recognizable domains were denoted 'proteins with obscure functions' (POFs) [37, 38]. Comparisons with other organisms showed that most PDFs have orthologs in other heterokonts, particularly T. pseudonana, and that a significant number are also found in Viridiplantae and Opisthokonta (Additional file 8). Notwithstanding, a significant number of PDFs (1,011 out of 3,693) were not found in these 14 organismal groups compared, indicative of the highly chimeric nature of diatom genomes.
Average properties of encoded POF and PDF proteins in P. tricornutum
Most of the differentially expressed transcripts encode PDFs; in particular, the blue light (BL) library contained more than 75% of proteins with defined domains, consistent with the fact that the BL library has the highest number of over represented GO terms (Additional file 5). This is possibly because we can infer a lot more about photosynthesis in diatoms by extrapolation of knowledge from plants and other algae than we can about other processes such as diatom responses to nutrients, which may therefore be rather novel. As a case in point, the most highly represented IPR domains in the blue light (BL) library included domains for bicarbonate transport, carbon fixation, light harvesting, and photosynthetic electron transport (Additional file 9), all of which are known to be key processes of photosynthesis.
The top 20 IPR domains in each of the other libraries are shown in Additional file 9. The data both confirm the validity of the culture conditions used for library generation (for example, the nitrogen libraries are over-represented in IPR domains related to nitrogen metabolism) and provide a new resource for exploring unanticipated aspects of diatom responses to specific stimuli. For example, the observed over-representation of IPR domains from heat shock transcription factors in these same libraries infers the importance of this class of transcription factors in regulating nitrogen metabolism.
Correlations between libraries
Expression analysis of diatom orthologous genes
Whole-genome expression profiling using a tiled array in T. pseudonana led to the identification of previously un-annotated TUs . Among these 3,470 TUs, 1,458 were also found in the P. tricornutum genome (e-value cutoff 10-5), and of these, 1,086 were expressed under various conditions in P. tricornutum. Additional file 11 shows the expression patterns of these genes and it is apparent that many of these TUs are highly expressed in the high decadienal (HD) cDNA library. This result is consistent with the previous observations revealing the unique expression patterns of diatom-specific gene families and 'unknown' genes in the HD library (for example, Figure 6).
Expression patterns of bacterial genes
It was previously reported that horizontal gene transfer from bacteria is one factor affecting diatom genome diversity, with at least 587 genes of proposed bacterial origin were identified in the P. tricornutum genome . The expression of these genes was analyzed to study the functional significance of these acquired genes. A total of 446 bacterial genes were expressed under various growth conditions, and 50% of them were expressed in the blue light (BL) library (Additional file 12A). The most highly expressed bacterial genes encode a putative Na+/H+ antiporter, hybrid cluster protein, and nitrite reductase (Additional file 13). The latter two have been discussed previously in the context of their importance for nitrogen metabolism in diatoms . In spite of having fewer numbers of expressed bacterial genes, higher frequencies of certain cDNAs were found in the oval morphotype (OM) and tropical accession (TA) libraries. The functional significance of these bacterial genes was explored with reference to their orthologs in other bacterial genomes using the COG database of bacterial orthologous gene clusters . The set of bacterial genes identified in P. tricornutum were found to represent 19 different COG classes (Additional file 10), with genes belonging to 'energy production and conversion' being the most highly expressed. By contrast, genes belonging to the categories of intracellular trafficking, secretion, cell motility, and chromatin structure were under-expressed.
Gene composition and expression
The P. tricornutum cDNAs described in this report were obtained from cells grown in 16 different conditions of ecological relevance, and are publicly available in a digital gene expression database . In total, they correspond to 86% of the predicted genes in the genome, and are therefore a useful basis for exploring gene expression patterns. As demonstrated here they can also be used to probe the function of genes that do not show significant homology to transcripts in other sequenced genomes. How many of the remaining 14% of P. tricornutum gene models that lack EST support actually represent bona fide genes is unknown . The fact that we could detect an additional 1,968 TUs that lack gene models shows the limitations of current gene prediction programs to detect diatom genes, and sets an upper limit of 12,370 genes in P. tricornutum, in the same range as the upper count of 14,862 genes predicted by expression analysis in T. pseudonana . The number of diatom genes that encode small RNAs rather than proteins is also unclear at this time, although the expressed P. tricornutum genes that lack homology to known sequences do appear in general to encode proteins with the typical biochemical characteristics of P. tricornutum proteins (Table 3).
Due to the phylogenetic distance of diatoms from most of the eukaryotes for which whole genome sequences are available, comprehensive cDNA collections also provide an important resource to improve gene prediction. For example, in P. tricornutum only 28% of the gene models could be predicted by homology-based methods; the others were predicted using the cDNAs reported here as a training set for ab initio methods . This data set will also be of importance for the growing number of diatom genome projects, for example, from Pseudo-nitzschia multiseries and Fragilariopsis cylindrus, as well as for other heterokont sequencing projects.
An important aspect of the current study is that 15 of the libraries were generated from non-nomalized mRNA populations and using the same methodologies (the original library (OS) described previously in  was generated using a different method). The gene expression patterns in each culture condition can therefore be compared and contrasted with the other conditions. To facilitate this, we converted EST counts to frequencies in each library, examined redundancy by rarefaction, and diversity using Simpson's index. Although all libraries were clearly under-saturated, there was wide variation in redundancy and diversity (Figure 1). Some libraries were characterized by having several sets of evenly abundant cDNAs - for example, the nitrate replete (NR) library - while others had fewer sets of highly abundant cDNAs - for example, the nitrate starved (NS) library. These results therefore provide information about how P. tricornutum responds to the different conditions examined.
Although the 15 cDNA libraries were generated and sequenced using the same protocol, a potential caveat of our approach is that the culturing conditions under which the libraries were generated were not identical (Additional file 1) because they were generated in different laboratories worldwide. To reduce unnecessary heterogeneity, all cells were nonetheless harvested at mid- or late exponential phase. Furthermore, in our opinion the results from our statistical analyses demonstrate clearly the biological significance of the measured transciptional outputs - for example, the nitrogen limited libraries show clear effects in genes involved in nitrogen metabolism.
Our analyses are especially valuable for the exploration of diatom genes with undefined functions because expression profiling can shed light on their functional significance . Many of these genes encode proteins that lack recognizable InterPro domains, and have been classified as encoding POFs. Diatom genomes encode higher numbers of POFs than have been observed in other genomes (see Results). In rice and Arabidopsis, such genes are thought to contribute to ecological differences and species diversity [37, 38]. The predicted biochemical characteristics of these putative P. tricornutum proteins suggest that they represent functional proteins. Approximately half of them are also found in T. pseudonana, and interestingly can be seen in many cases to be specifically induced by high decadienal treatment (Figure 6; Additional file 11). This aldehyde is of interest because it has been implicated in regulating diatom population densities [20, 50], so these genes deserve attention as being of potential importance in the control of population density and programmed cell death.
The different statistical methods employed in this study provide support for several recent hypotheses proposed on the basis of experimental observations; for example, the commonalities of nitrate, ammonium and urea assimilation [7, 43] can be seen in the similar expression profiles of the NS, AA, and UA libraries, and the reprogramming of diatom photosynthesis in response to iron limitation  is reflected in the common gene expression profiles between the FL library and the blue light (BL) library (Figure 2). Conversely, the two abiotic stress libraries - low temperature (TA) and low salinity (OM) - display similar expression profiles (Figure 2), in agreement with the known overlap in the response to these stresses in other organisms . These expected results are satisfying, but more importantly they increase confidence that the methodologies used can help resolve other less well understood processes involved in each individual response. For example, when hierarchical clustering is done using only the small set of 177 expressed transcription factors in P. tricornutum, the relationships observed between the different libraries are essentially the same as can be seen when using all 9,145 TUs  (Figure 2). Hence, the methodologies reported here can help identify transcription factors associated with differential expression in the different growth conditions. Conversely, genes of unknown function can be recruited to a specific response, for example, those induced in response to high decadienal. Such correlations provide a reasonable basis to explore the function of such genes.
Finally, our studies have helped to understand better the roles in diatoms of genes of probable bacterial origin. These acquired bacterial genes have undergone modifications, such as gene fusions and novel domain reorganizations . The observed diversity of their phylogenetic origins, derived from a wide range of different bacterial groups, is reflected in their functional diversity in that they belong to 19 different COG categories. Many are expressed in different conditions (Additional file 12), which may reflect the functional adaptation of acquired bacterial genes to important metabolic and regulatory processes. In other cases, they are not strongly expressed - for example, genes in the intracellular trafficking, cell motility, secretion, and chromatin structure categories - which may indicate that genes derived from the secondary endosymbiotic parents have been retained for these functions.
Although there can be no substitute for laboratory-based exploration of gene function, the sheer numbers of diatom-specific genes of unknown function necessitates the availability of high throughput in silico approaches that can allow diatom researchers to identify interesting candidate genes that likely play key functions. We believe that the resources described here represent a significant step forward for characterizing diatom genes, as highlighted by PtTU G49202, a P. tricornutum gene of unknown function that is extremely highly expressed (Table 2), and PtTU G55010, a carboxylase of unknown function that we have linked to the diatom response to high CO2. Reverse genetics approaches such as RNA interference  can now be directed towards genes such as these in order to define their precise functions experimentally and to help understand the specific innovations that have led to the dominance of diatoms in contemporary ecosystems.
The unbiased statistical methods used in the current study to analyze diatom gene expression profiles in different conditions can provide insights of biological relevance for understanding how diatoms respond to their environment, and in particular can pinpoint genes with unassigned functions for targeted studies. The digital gene expression database that we have established  represents a new resource for identifying candidate diatom-specific genes involved in processes of major ecological relevance.
Materials and methods
A total of 15 cDNA libraries were constructed to explore the molecular responses of P. tricornutum to a range of conditions, in addition to the previously reported library . The different libraries are summarized in Table 1 and Additional file 1, and the rationale for choosing each condition is summarized below. All libraries are derived from cells in mid-late exponential phase.
Geographically widely distributed strains of P. tricornutum show interesting intra-species genetic and phenotypic diversity  and undergo morphological transitions between three possible morphotypes . To explore the functional adaptations of different morphotypes, we made libraries from each of them. The triradiate morphotype (TM) library was constructed from mRNAs extracted from cells grown by repeated subculturing of the Pt8 accession under gentle agitation (80 rpm) in order to obtain a culture with 70% of triradiate cells. The oval morphotype (OM) library was made using the Pt3 accession grown at low salinity, and the tropical accession (TA) library was obtained from Pt9 cells grown at low temperature (15°C), treatments that both induce the formation of oval cells . Cells were obtained from cultures either following a shift to hyposalinity 10% in Brown's artificial sea water (ASW)  for Pt3 or after a shift from 28°C to 15°C for Pt9.
The Pt1 8.6 accession also produces oval morphotype cells when treated with decadienal, a programmed cell death-inducing aldehyde . Chemical signaling induced by this diatom-derived aldehyde has been shown to trigger stress responses and may control bloom dynamics in phytoplankton populations . Two libraries, low decadienal (LD) and high decadienal (HD), were constructed to explore the genes expressed in response to sublethal (0.5 μg/ml) and lethal (5 μg/ml) concentrations of decadienal after 6 h treatment, respectively.
All other libraries were derived from cultures of the Pt1 8.6 accession grown under different nutrient regimes that contained predominantly the fusiform morphotype. Iron bioavailability is a major factor limiting photosynthetic biomass in the ocean  and Fe fertilization experiments have shown that diatoms show greater sensitivity to iron compared to other phytoplankton . The iron limited (FL) library was designed to study genes expressed at low concentrations of iron .
Diatoms also play a major role in nitrogen-based biogeochemical cycles, and the diatom genome has been shown to encode various nitrate and ammonium transporters as well as the full complement of urea cycle enzymes [7, 43]. cDNA libraries were therefore constructed from cells grown under various nitrogen regimes to help understand the complexities of nitrogen metabolism in diatoms. We constructed four such libraries from nitrate-starved (NS) cells grown in 50 μM of nitrate for 3 days, nitrate-replete (NR) cells grown in 1.12 mM nitrate, and from ammonium adapted (AA) and urea adapted (UA) cultures. The NS and NR cultures were grown under continuous light (120 μmol.m-2.s-1). Walne medium  was used for the NR condition and NO3- concentration was reduced to 50 μM for the NS condition. Cultures were sampled at both steady state (NR and NS) as well as during the N-depletion period.
Additionally, cDNAs obtained from cells grown in the presence and absence of silicic acid (SP and SM, respectively), formed a useful data set for studies of the silicification process .
To examine light-responsive gene expression, a cDNA library was generated from cultures grown in 12 h light-dark cycles to a concentration of 0.5 × 106 cells per milliliter, subsequently dark adapted for 60 hours, and then exposed to blue light. Cells were harvested after 1 h induction by centrifugation for 15 minutes at 3,000 g and conserved at -80°C until RNA extraction.
Diatoms are responsible for about 20% of global carbon fixation and many studies are underway to explore how diatoms may be affected by climate change. We therefore constructed cDNA libraries from cells grown under high carbon dioxide concentrations for one (C1) and 4 days (C4). The study of adaptation to such conditions is of particular interest in the light of increasing CO2 levels in the Earth's atmosphere. For these experiments cells were initially grown at 2.8 mM DIC with a dilution rate of 0.5 d-1 (temperature and pH were kept constant at 20°C and 8.0, respectively), and high CO2 conditions were obtained by increasing DIC to 3.2 mM by bubbling carbon dioxide into the cultures until the pH reached 7.0.
Moreover, we used three different culture methods; the NS, NR, C1 and C4 libraries were all grown in chemostat cultures, whereas the OM, AA, UA, TA, FL, and other libraries were from batch cultures. For the carbon dioxide chemostat experiments the cells were grown at 20°C under continuous light (120 μmol.m-2.s-1) with an operating speed of 100 rpm. The cultures were run at 20% dilution rates and sampled at steady state at pH 8.0 and pH 7.0 as well as during the adjusting period between these two levels, that is, within 24 h after pH modification.
The above libraries can therefore be used to study growth conditions and gene expression in response to different stimuli of ecological relevance. Although the cDNA library that we originally characterized  was also incorporated into the current analyses, certain comparisons with the other libraries should be viewed with caution because this cDNA library was constructed using different methodologies.
The non-normalized cDNA libraries were constructed from poly(A)+ RNA purified from total extracted diatom RNA using the CloneMiner cDNA library construction kit (Invitrogen, Cergy-Pontoise, France) following the supplier's instructions with minor modifications. Fifteen different conditions (Table 1) were used to maximize the detection of genes expressed with specific condition-enriched profiles. Sequencing was performed mostly from the 5′ end of the insert but for some of the libraries an attempt was made to sequence each clone at both the 5′ and the 3′ ends. When both EST reads overlapped, the two sequences were fused into a consensus sequence using PHRAP .
The complete set of cDNAs was subject to a preliminary analysis as previously described in , with a variation in obtaining the non-redundant data set. The cDNAs were first aligned to the predicted gene models available at the Joint Genome Institute (JGI)  using the BLAST program  and the cDNAs that did not have a predicted gene model were subjected to CAP3 assembly . This two step procedure to derive the non-redundant set avoided the over-estimation of non-redundant transcripts (TUs) led by short transcripts. The cluster size (that is, the number of redundant cDNAs for each TU) was obtained and the number of transcripts contributed by each individual library to cluster size was also counted for all the TUs. An initial functional annotation of the non-redundant transcripts was done using blast2GO . A more advanced annotation, such as the assignment of InterPro domains and KEGG pathways, was obtained from the P. tricornutum genome annotation performed at the JGI.
The P. tricornutum and T. pseudonana sequences were also compared by BLASTX to those in 14 other eukaryotic genomes, specifically Phytophthora ramorum, Phytophthora sojae, Chlamydomonas reinhardtii, Ostreococcus lucimarinus, Ostreococcus tauri, Cyanidioschyzon merolae, Monosiga brevicollis, Dictyostelium discoideum, Ciona intestinalis, Caenorhabditis elegans, Aspergillus niger, Pichia stipitis, Arabidopsis thaliana and Saccharomyces cerevisiae.
Library richness and diversity
where n is the cluster size (the number of cDNAs of each TU in each library) and N is the library size (the total number of cDNAs sequenced in each library).
Data normalization and clustering
The count of cDNAs in each library and for each cluster (TU) was normalized to the library size by calculating the frequency (the EST count divided by the library size). This normalized data facilitated the comparisons of expression across different libraries in spite of the differences in library sizes. The frequency distribution of 9,145 TUs that are expressed more than once across one or more libraries were used for principal component analysis. Principal component analysis was done using R version 2.5.0 . The same data set was used to identify genes and libraries with similar expression patterns using two-way hierarchical clustering. The hierarchical clustering was done using the program cluster 2.11  and was visualized using 'Java Treeview' .
Differential gene expression
To study the distribution of transcripts across different libraries and to identify clusters that were significantly over-represented in certain growth conditions, we examined the expression patterns of the 9,145 clusters. To eliminate differences in distribution caused by the differences in library size, the counts were normalized by converting them to frequency. To determine whether the differences in frequency distribution were due to statistically significant differential gene expression or to a random distribution, we calculated the log likelihood ratio, R-value , for each cluster. To define a cutoff R-value, we calculated the R-value for 9,145 random clusters generated from a Poisson distribution whose parameter is equal to the expected cluster size for that library 1,000 times. Additional file 4 shows the R-values of the actual 9,145 clusters and in the randomized data set. The probability of having an R-value above 23 was zero in all randomized clusters. We considered an R-value cutoff of 12, corresponding to 0.96 probability (that is, with 96% chance that it is not a random event), providing a useful basis to define genes displaying differential mRNA levels in our cDNA libraries. The 8,402 transcripts with R-values above 12 were analyzed and catalogued as differentially expressed in the libraries having the top two highest frequencies. Transcripts represented by three or fewer cDNAs were removed.
Gene Ontology and COG annotation
The expressed TUs were subjected to GO annotation  and GO term enrichment analysis was done using the Blast2GO program . COG annotation was done by RPS-BLAST  with the TUs as query using the Conserved Domain Database (CDD) . COG identities were assigned to any TU with a BLAST e-value below 10-3.
Codon usage analysis
The codon usage table for P. tricornutum was obtained using the CDSs from JGI and using the EMBOSS program . Codon Adaptation Index values were calculated using CodonW . This analysis was performed using all the CDSs starting with ATG, and the maximum number or the sum of cDNAs across all the libraries was taken as an expression level index. Genes represented by more than 30 cDNAs were used as a reference set for highly expressed genes to study codon usage bias and its relation to expression level.
artifical sea water
high CO2 1 day
high CO2 4 days
dissolved inorganic carbon
expressed sequence tag
Joint Genome Institute
protein with defined function
protein with obscure function
Funding for the Diatom Digital Gene Expression Database was from the European Union-funded Diatomics project and the Agence Nationale de la Recherche (France). cDNA construction and DNA sequencing was funded by Genoscope (France). We are grateful to Pierre Vincens, Jean-Pierre Roux and Edouard Bray for managing the server and the software and for their help in web interface creation, Ikhlak Ahmed for his help with statistical analysis using R statistical language, as well as Igor Grigoriev and Alan Kuo from JGI. We would also like to thank Patrick Wincker, Julie Poulain and the technical staff of Genoscope for their essential contribution to the experimental part of the work, as well as Franck Anière and the entire system network team at Genoscope. The database is freely available on the web at . The P. tricornutum cDNAs have been submitted to the NCBI dbEST (GenBank accession numbers [GenBank:CD374840] to [GenBank:CD384835] and [GenBank:BI306757] to [GenBank:BI307753]).
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