To add to the previous 12,136 ESTs generated from cells grown in standard growth conditions (here denoted the 'OS library' for original standard 22, 15 non-normalized cDNA libraries were generated to explore the responses of P. tricornutum to a range of growth conditions, including different nutrient regimes of Si, N, Fe, and dissolved inorganic carbon (DIC), stress (hyposalinity and low temperature), and blue light. We also generated libraries from each of the three P. tricornutum morphotypes, and from cells exposed to the programmed cell death-inducing aldehyde decadienal 20. The libraries were generated from three different ecotypes whose phylogenetic relationships and general characteristics have been previously described 26. Furthermore, three different culturing regimes were used - batch, semi-continuous, and chemostats - depending on the treatment being performed. A comprehensive description of culturing conditions is provided in Materials and methods and Additional file 1, and is summarized in Table 1. To facilitate comparisons, all cells were harvested in mid-late exponential phase, and the libraries were made using the same RNA extraction and cDNA library construction methodologies (see Materials and methods).

The number of sequenced cDNAs per library varied from 3,541 to 12,566, with an average of 8,284 cDNAs per library for a total of 120,411 sequences. In general, the percentage of redundant sequences in the different libraries was around 50 to 60% (Table 1), although the triradiate morphotype (TM) library presented the highest level of redundancy (70%), whereas the lowest redundancy (39%) was observed in the nitrate replete (NR) library. Because the library size varied, we calculated rarefaction curves to check whether we had exceeded the optimal library size (that is, over sampling), which might have led to the redundancy variation 27. All libraries were below saturation (Figure 1a), implying that further increases in library size would lead to the capture of new cDNAs. The differences in redundancy are not therefore due to over sequencing of some libraries. Consequently, the differences seen in the rarefaction curves along with the differences in redundancy rates of different libraries are likely to reflect differential gene expression in response to each culture condition.

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 28, 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.

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 29. These represented a further 1,968 TUs in addition to the 8,944 TUs that aligned to the gene models 8. 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.

The top 20 most abundant transcripts are represented by cDNAs varying from 2,079 to 316 copies in all the 16 libraries (Table 2). The most abundant transcript (G49202), with 2,079 copies, belongs to a P. tricornutum-specific gene family (family ID 4628) with 9 members 8. All nine encoded proteins contain predicted signal peptides and transcripts for them were detected in one or more cDNA libraries. They do not show any homology with known proteins (e-value cutoff = 10^-5) with the exception of G49297, which shows some similarity to a bacterial protein containing a carbohydrate binding domain. When the above nine transcripts were subjected to PSI-Blast, we found a few transcripts showing low homology (e-value cutoff = 10^-3, iterations = 3) to murine-like glycoprotein most typically associated with animal viruses. Eight of the genes belonging to the above gene family are localized on chromosome 21. The absence of this gene family in T. pseudonana and its high level of expression across various cDNA libraries may indicate that it represents a P. tricornutum-specific expanded glycoprotein gene family.

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).

A range of different clustering and functional annotation methods was used to identify the libraries with similar gene expression patterns and to assess functional significance. We first made a hierarchical clustering 30 of the 9,145 transcripts expressed more than once, after normalizing transcript abundance in each individual library to library size. By this method we were able to identify libraries that share similar patterns of expression with reference to the presence or absence of a transcript and its relative abundance. Figure 2 shows the results visualized using 'Java Treeview' 31. For example, from this analysis we see that libraries made from cells grown in chemostat cultures cluster together (NS, NR, C1 and C4). The oval morphotype (OM) and tropical accession (TA) libraries, which were derived from oval morphotypes grown at low salinity and low temperature, respectively, were also seen to cluster together.

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.

While hierarchical clustering reveals the correlations and differences in patterns of gene expression across libraries, to identify transcripts that are differentially expressed, we used a statistical method based on log-likelihood 32. For each TU we computed the log-likelihood ratio (R) and compared it with a randomly generated set (Additional file 4). Based on this comparison we considered TUs with R-values greater than 12 to be differentially expressed (see Materials and methods). On average, we detected between 200 and 450 differentially expressed transcripts per library (8 to 12%), the variation of which was mostly due to differences in library size (Additional file 5). Figure 3 shows examples of transcripts that are expressed across all 16 conditions and that have different R-values. An ammonium transporter encoding gene with an R-value of 502 was catalogued as being differentially expressed in the nitrate starved (NS) library, an alpha-3-frustulin encoding gene was catalogued as differentially expressed in the oval morphotype (OM) and blue light (BL) libraries, and a citrate synthase encoding gene was upregulated in the high decadienal (HD) and ammonium adapted (AA) libraries. By contrast, a gene encoding an epsilon-frustulin was not catalogued as being differentially expressed (R-value below 12). Seventy-one transcripts were expressed at least once across all the libraries (Additional file 6) and most of them were classified as being differentially expressed. Fifty-two of them also contained a known domain, and the majority fell into our category of core transcripts (30 sequences, against 15 diatom-specific transcripts, and 13 P. tricornutum-specific transcipts). These genes encode putative transporters (for bicarbonate and ammonium), some transcription factors, transposable elements, and the mitochondrial alternative oxidase, which has been proposed to be a central actor in diatom metabolism 33.

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.

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 34. 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 33. 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 2035. 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.

As an additional approach to examine the functional significance of differentially expressed transcripts, we explored domain content using InterPro 36. 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) 3738. 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.

In a previous whole genome study of 10 different model eukaryotes, it was shown that POFs represent between 18 and 38% of a typical eukaryotic proteome 37. In the putative proteome of P. tricornutum we found 44% of POFs, considerably more than usual, which likely reflects the fast evolving diatom genomes and the largely unexplored nature of diatom gene repertoires 8. Table 3 shows the average protein composition statistics of the POFs and PDFs present in the P. tricornutum genome. We do not see higher variation in the length, amino acid composition and percentage of putative proteins with trans-membrane domains, indicating that the higher percentage of POFs is not likely to reflect pseudo-genes or transcripts that are not translated. We therefore propose that the majority encode bona fide genes.

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.

As an example of using domain analysis to obtain functional information, the top 15 InterPro domains found in the high CO₂ libraries (C1 and C4) are shown in Figures 4a,b. As a reference, Figure 4c shows the 30 most highly represented domains in the P. tricornutum genome, corresponding to gene families expanded in diatoms, such as protein kinases and heat shock transcription factors 8. In the CO₂ libraries we detected domains involved in pH maintenance and nitrogen metabolism, as well as a decarboxylase domain, found in just one gene. The function of this gene in diatom responses to high CO₂ will be well worth exploring. The enlarged region in Figure 2 shows some of the other transcripts that are shared in the high CO₂ conditions, including genes encoding nitrogen metabolism components. Genes involved in phosphate metabolism are also evident, suggesting that P. tricornutum responds to higher CO₂ levels by up-regulating primary metabolic pathways.

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.

Correspondence analysis (CA) was conducted with the 9,145 transcripts to identify correlated growth conditions. In this method, the frequencies of possibly correlated expression patterns are split into smaller components of un-correlated variables, and these components can be represented in multidimensional space using an axis for each transformed component. The first two components (axis) showing the maximum variance (least correlated) in expression are plotted in Figure 5. We found that the high decadienal (HD), original standard (OS) and high CO₂ (C1, C4) libraries showed the maximum variance from the rest of the libraries. The dissimilarity of the OS library was not unexpected because it was created using different protocols compared to the other 15 libraries. It was therefore not considered further in this analysis. Comparative and functional analysis of the 100 genes showing maximum variance in expression in the other three conditions indicated that these transcripts mainly represent novel transcripts expressed in specific conditions and not predicted by conventional gene prediction programs or by other homology-based methods (data not shown). An example is shown in Figure 5, in which transcript C322 is unique to the high decadienal (HD) library and resembles a diatom-specific retrotransposon 39. Conversely, transcript C301 is highly expressed uniquely in high CO₂ conditions (C4 library), but does not have a predicted gene model. It does not show clear homology to any known sequence in other organisms, but its best BLAST hit is to a proteophoshphoglycan from Leishmania (data not shown). Interestingly, recent analyses have shown that this gene is also heavily methylated, unlike the majority of P. tricornutum genes (unpublished information Florian Maumus, Leila Tirichine and CB). Methylation of DNA is currently receiving attention as a mechanism controlling gene expression 40, so gene C301 is likely to be of great interest for future studies.

To further examine the contribution of known and unknown genes in each library, we repeated the correspondence analysis after classifying the transcripts based on the presence and absence of domains. Figure 6a shows that among the four libraries with maximum variation in expression, the high decadienal (HD) library displayed considerably more transcripts without a defined domain (POFs). The high CO₂ (C1, C4) libraries have a roughly equal number of PDF and POF transcripts. Similar trends were seen when the analysis was repeated for diatom-specific transcripts (present in at least one of the two diatoms under study; e-value cutoff 10^-5) or core transcripts also present in 14 other eukaryotic genomes (described in Materials and methods) (Figure 6b). We observed that the largest number of diatom-specific transcripts was found in the high decadienal (HD) library, followed by the high CO₂ (C1, C4) libraries. These differences may imply that proteins with no recognizable homologs or domains may exhibit preferential involvement in species-specific regulatory and signaling networks 37. As a case in point, the high decadienal treatment is known to induce programmed cell death and may be involved in regulating diatom population sizes 2035.

The above described cDNA libraries from P. tricornutum are accessible through the diatom EST database, together with seven libraries from T. pseudonana 41. Because two of the conditions were examined in both species (iron limitation (FL) and nitrogen starvation (NS) 42), we could make a comparative analysis of the response of each diatom. A total of 346 and 278 transcripts were found to be differentially expressed in P. tricornutum under iron limitation (FL) and nitrogen starvation (NS) conditions, respectively. Among these transcripts, around 50% (174 in FL and 163 in NS) have orthologs in T. pseudonana (e-value cutoff 10^-5 ) and a significant number of these are also responsive to the same treatment in this second diatom. Figure 7 shows hierarchical clustering of the 346 P. tricornutum FL transcripts together with 71 T. pseudonana putative orthologs that are also expressed under iron limitation (FL). Within this set we can find diatom-specific POFs as well as transcripts with recognizable domains such as transcription factors (Figure 7). We can also find genes encoding photosynthetic components and putative cell wall proteins (fasciclin, gelsolin, annexin), implying that the global reprogramming of cellular metabolism observed in P. tricornutum 33 may be common to other diatoms as well. In a similar analysis performed with the 163 T. pseudonana orthologs of the nitrate starvation responsive P. tricornutum genes, 46 were found to be differentially expressed in the same condition in T. pseudonana (Additional file 10). These include genes encoding components of nitrogen metabolism, regulatory pathways, and a range of POFs. Only one of the genes expressed in response to nitrate starvation in both diatoms is diatom-specific, whereas nine of the iron responsive genes were classified as being diatom-specific (compare Figure 7 and Additional file 10). This could suggest that diatom responses to iron have evolved specifically in diatoms, whereas nitrate starvation responses may constitute a more general organismal response.

Whole-genome expression profiling using a tiled array in T. pseudonana led to the identification of previously un-annotated TUs 42. 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).

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 8. 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 43. 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 44. 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.

In a pilot analysis with the 12,136 cDNAs from the OS library, it was shown that transcripts that are represented by higher numbers of ESTs show higher levels of guanine and cytosine nucleotides at the third codon position (GC3) 25. To examine the significance of correlation between expression level and codon usage bias, we derived a codon usage table using the predicted gene models for P. tricornutum, which is available at 45. We applied correspondence analysis to study the relative synonymous codon usage 46 in the highly expressed genes across all the libraries. Codon Adaptation Index values were then calculated using CodonW 47. Correspondence analysis allowed the identification of the first four axes (components) that explain the majority of the variance (30.6%) in codon usage among P. tricornutum putative coding sequences (CDSs). The principal axis (F1) contributes 15.5% to the total variance, while the second axis (F2) explains only 6%. Consequently, we can conclude that F1 is the main factor driving codon usage heterogeneity in P. tricornutum. We therefore chose the projection of points (the 59 codons) along F1 and used these coordinates as an estimator of the relative usage of degenerate codons within each CDS (Figure 8). The preferred codons are generally C-ending, in agreement with previous reports 25. Therefore, C-ending codons are likely to be translationally optimal. An additional interesting feature of P. tricornutum CDSs is the relative lack of G3 ending codons among quartets.

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 21. 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 26 and undergo morphological transitions between three possible morphotypes 9. 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 26. Cells were obtained from cultures either following a shift to hyposalinity 10% in Brown's artificial sea water (ASW) 26 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 35. Chemical signaling induced by this diatom-derived aldehyde has been shown to trigger stress responses and may control bloom dynamics in phytoplankton populations 20. 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 51 and Fe fertilization experiments have shown that diatoms show greater sensitivity to iron compared to other phytoplankton 52. The iron limited (FL) library was designed to study genes expressed at low concentrations of iron 33.

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 743. 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 53 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 54.

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 21 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 55.

The complete set of cDNAs was subject to a preliminary analysis as previously described in 22, 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) 56 using the BLAST program 57 and the cDNAs that did not have a predicted gene model were subjected to CAP3 assembly 29. 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 34. 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.

The richness and diversity of cDNAs sampled from each cDNA library was estimated by statistical methods. Richness was estimated by rarefaction using the Analytic Rarefaction 1.3 program 58 to plot the rarefaction curve. Diversity was estimated using Simpson's Reciprocal Index and was calculated using the formula (1/D), where D is Simpson's index calculated using the formula 28:

D = ∑ n ( n − 1 ) N ( N − 1 )

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).

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 59. 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 30 and was visualized using 'Java Treeview' 31.

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 32, 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.

The expressed TUs were subjected to GO annotation 60 and GO term enrichment analysis was done using the Blast2GO program 34. COG annotation was done by RPS-BLAST 61 with the TUs as query using the Conserved Domain Database (CDD) 62. COG identities were assigned to any TU with a BLAST e-value below 10^-3.

The codon usage table for P. tricornutum was obtained using the CDSs from JGI and using the EMBOSS program 63. Codon Adaptation Index values were calculated using CodonW 47. 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.