Skip to main content
Download PDF

Comprehensive EST analysis of the symbiotic sea anemone, Anemonia viridis

BMC Genomics volume 10, Article number: 333 (2009) Cite this article

Abstract

Background

Coral reef ecosystems are renowned for their diversity and beauty. Their immense ecological success is due to a symbiotic association between cnidarian hosts and unicellular dinoflagellate algae, known as zooxanthellae. These algae are photosynthetic and the cnidarian-zooxanthellae association is based on nutritional exchanges. Maintenance of such an intimate cellular partnership involves many crosstalks between the partners. To better characterize symbiotic relationships between a cnidarian host and its dinoflagellate symbionts, we conducted a large-scale EST study on a symbiotic sea anemone, Anemonia viridis, in which the two tissue layers (epiderm and gastroderm) can be easily separated.

Results

A single cDNA library was constructed from symbiotic tissue of sea anemones A. viridis in various environmental conditions (both normal and stressed). We generated 39,939 high quality ESTs, which were assembled into 14,504 unique sequences (UniSeqs). Sequences were analysed and sorted according to their putative origin (animal, algal or bacterial). We identified many new repeated elements in the 3'UTR of most animal genes, suggesting that these elements potentially have a biological role, especially with respect to gene expression regulation. We identified genes of animal origin that have no homolog in the non-symbiotic starlet sea anemone Nematostella vectensis genome, but in other symbiotic cnidarians, and may therefore be involved in the symbiosis relationship in A. viridis. Comparison of protein domain occurrence in A. viridis with that in N. vectensis demonstrated an increase in abundance of some molecular functions, such as protein binding or antioxidant activity, suggesting that these functions are essential for the symbiotic state and may be specific adaptations.

Conclusion

This large dataset of sequences provides a valuable resource for future studies on symbiotic interactions in Cnidaria. The comparison with the closest available genome, the sea anemone N. vectensis, as well as with EST datasets from other symbiotic cnidarians provided a set of candidate genes involved in symbiosis-related molecular crosstalks. Altogether, these results provide new molecular insights that could be used as a starting-point for further functional genomics studies.

Background

Sea anemones, together with corals, jellyfish and hydras, belong to the Cnidaria, which are basal to the eumetazoa and ancestral to the bilateria. Cnidaria are characterized by a sac-like body plan with a single oral opening surrounded by numerous tentacles. As diploblastic animals, they are composed of only two embryonic tissue layers, the epiderm and the gastroderm (Additional file 1).

Many cnidarians harbour photosynthetically active unicellular algae within their gastrodermal cells. In most cases, such symbiont algae are dinoflagellates from the genus Symbiodinium, commonly referred to as zooxanthellae. This association is a trophic endosymbiosis and is considered to be mutualistic because the zooxanthellae provide their cnidarian host with reduced organic carbon resulting from their photosynthetic activity [1] while the host provides the zooxanthellae with inorganic carbon [2], inorganic nitrogen [3, 4] and inorganic phosphate [5], as well as a refuge from herbivory. This simple mutual partnership has recently been revealed to be more complex, however, since the holobiont was found to be a dynamic assemblage of animal, zooxanthellae, endolithic algae and fungi, prokaryotes (Bacteria and Archaea) and viruses [6, 7]. Endosymbioses are thus highly complex associations, implying intimate interactions between host and symbionts as well as constraints, such as hyperoxic conditions generated by symbiont photosynthesis, and transfer of inorganic carbon to the symbiont [8].

In recent decades, biochemical and physiological studies have highlighted numerous adaptations in cnidarian host tissues (for review [8]), such as the presence of natural sunscreens (UV-absorbing mycosporine-like amino acids, [9]), remarkable antioxidant defences [10, 11], specific mechanisms of inorganic carbon absorption and concentration [12], and mechanisms of inorganic nitrogen absorption [3]. However, despite increasing knowledge about their physiological inter-relationship, very little is known about the molecular adaptations that have permitted this successful partnership.

The cnidarian-dinoflagellate endosymbiotic association is the very foundation of the highly productive and diversified coral reef ecosystem. Coral reefs are considered to host at least 30% of all known marine fauna [13], like "oases" within marine nutrient-deprived deserts [14], and play a crucial role in shaping tropical ecosystems. Coral reefs are, however, now also experiencing high levels of anthropogenically-induced stress (global climate change, pollution). Such environmental perturbations, in addition to pathogens, contribute to the breakdown of symbiosis known as "coral bleaching", and even mortality [15]. Bleaching results in whitening of cnidarian symbiotic tissues, due either to a direct loss of dinoflagellates and/or a decrease in photosynthetic pigment concentration [16]. Mass bleaching events have been increasing in both frequency and severity since the 1980s [15].

The most significant contributions to cnidarian molecular biology are the complete genome analysis of the starlet Sea anemone Nematostella vectensis [17–19] and the Hydra magnipapillata genome project [20]. However, neither of these species is symbiotic. In addition, phylogenetic studies suggest that N. vectensis and A. viridis might belong to different suborders (Additional file 2), although both belong to the Hexacorallia Actiniaria [21]. Very few studies using high-throughput techniques have been published to date on symbiotic cnidarians. Most cDNA libraries have been constructed from non-symbiotic cells and only limited EST datasets were generated. Only three studies have been conducted on symbiotic anthozoans: Acropora millepora, a reef building coral (10,247 ESTs; [19, 22]); Aiptasia pulchella, a tropical Sea anemone (870 ESTs; [23]); and a comparative study on two scleractinian corals, Montastrea faveolata (3,854 ESTs) and Acropora palmata (14,588 ESTs, [24]). All have shown that cnidarians are more similar to vertebrates, in terms of gene repertoire, composition and intron/exon structure, than the well known ecdysozoan model organisms, Drosophila melanogaster and Caenorhabditis elegans, where extensive gene loss has occurred [19, 22]. These EST datasets have been used to develop small-scale microarrays for gene expression analysis in several coral-algal symbioses: Acropora millepora, Acropora palmata and Montastrea faveolata [25–27].

Genomic information on zooxanthellae has been obtained by Leggat et al [28] who analysed 2,682 ESTs of tropical Symbiodinium (clade C3) extracted from the coral Acropora aspera. Another cDNA library (1,484 UniSeqs) was constructed from a cultured Symbiodinium of clade A (CassKB8), originally isolated from the Upside-down jellyfish Cassiopea sp, and sequences were compared to those of clade C3 [29]. Additional metagenomic analyses were performed on the microbial community associated with the coral Porites asteroids [7, 30], extending our knowledge on the organismal diversity of the holobiont, although no transcriptomic analyses were carried out.

To better characterize symbiotic relationships between cnidarian host and associated symbionts, we conducted a large-scale EST study on a symbiotic sea anemone. We chose the sea anemone Anemonia viridis as our study species, in which the two tissue layers (epiderm and gastroderm) can be easily separated. A. viridis is the most abundant sea anemone of the Mediterranean coasts and hosts the temperate Symbiodinium sp. of Clade A, which has been suggested to be the dominant clade of zooxanthellae in the Mediterranean Sea [31]. We prepared a single cDNA library from whole specimens under several stress conditions, in order to maximize the presence of genes required for symbiosis. 39, 939 ESTs were generated and a total of 14,504 UniSeqs were identified, assigned a putative origin and annotated. This large collection of UniSeqs provides the better characterized transcriptomic knowledge of symbiosis in cnidarians. The data will further our comprehension of such relationships and contribute to functional genomic surveys.

Results and discussion

ESTs generation and analysis

A cDNA library was made from both symbiotic (gastroderm) and non-symbiotic (epiderm) tissues of the sea anemone Anemonia viridis (Additional file 1). In order to maximize the diversity of genes expressed under both normal and stress conditions within the symbiotic association, sea anemones were subjected to different environmental conditions before RNA extraction and cDNA library construction (light/dark sampling, thermal stress, hyperoxia conditions, see Materials & Methods). Out of 50,304 sequenced clones, a total of 41,247 readable sequences were produced, corresponding to a sequencing success of 82%, and 39,939 high quality ESTs were generated (Figure 1 and Additional file 3). A. viridis repetitive sequences were identified and masked using RepeatMasker before assembly. Trimmed masked ESTs were further subjected to cluster analysis using the TIGR-TGICL pipeline with default parameters [32]. A total of 30,087 ESTs were assembled into 4,652 contigs (Additional file 4) while 9,852 sequences remained as singletons. The mean trimmed EST sequence length was 626 bp, but sequences could be assembled into contigs of up to 4 kb (CL4Contig4, described as ribosomal protein L8, 3,887 bp). Most contigs (2,959) were composed of three ESTs or less, with an average length of 895 bp, suggesting that they covered only parts of the transcript sequences. Apart from the functional genomics resources available for the reef-building corals Acropora palmata and Montastrea faveolata [24], most cnidarian genomic studies have been performed on non-symbiotic tissues (aposymbiotic developmental stages or adults). To our knowledge, our study provides the largest EST collection from a symbiotic cnidarian.

Figure 1
figure 1

Flowchart of the analysis pipeline of A. viridis ESTs. EST processing and analysis pipeline used in this study.

Full size image

The most abundant transcripts (contigs composed of more than 100 ESTs) are listed in Table 1. Most of these correspond to ribosomal proteins, or proteins involved in basic cellular processes (actin, elongation factor 1 alpha, CAAT enhancer binding protein). However, it should be highlighted that two of these highly abundant transcripts had no similarity with any available sequence, either in UniProt or NR databases, while two other large clusters represent proteins that might be involved in stress responses (HSP70 and ferritin). Ferritins are ubiquitously expressed proteins that have a central role in normal iron homoeostasis, as well as during oxidant stress, by reducing the participation of iron in free-radical-generating reactions [33]. Ferritin genes have also been identified as being highly expressed in Acropora EST datasets and one has been shown to be under positive selection [24]. Microarray experiments, designed to identify genes differentially expressed in response to elevated temperature in Anthopleura elegantissima [34] or A. viridis (data not shown), revealed that ferritin genes might be induced in response to increases in reactive oxygen species following thermal stress.

Table 1 The 19 most abundant transcripts (>100 ESTs)
Full size table

Repeated elements

Based on reverse transcriptase domain search, 46 transposable elements (retrotransposons/retroposons) were identified (data not shown). Among these, 4 were of prokaryotic origin (without any similarity to N. vectensis sequences) and 42 were of metazoan origin. While 2 of them were almost identical to N. vectensis transposable elements, 21 only had slight similarity to N. vectensis sequences (BlastX or BlastN with E-value of 1.10-25 to 1.10-10), and 19 showed no similarity to N. vectensis sequences but had been previously identified in other Metazoa.

Self BlastN analysis on our EST dataset also identified another abundant set of repeated elements. Over 1,500 repetitive sequences were identified, with 412 repeated more than 10 times in our UniSeqs dataset. A typical sequence would be around 200 bp length, harbouring 40–50 bp inverted terminal repeats at its extremities. These repeats often formed very long and stable hairpins, depending on their orientation (Figure 2). They were found in 19.8% of UniSeqs and were overrepresented within contigs (62% of contigs contained at least one repeat). When open reading frame could be identified, these A. viridis repeated elements were always mapped in the 3'UTRs of the protein coding genes. Using a BlastN analysis, none of these sequences were found either in the genome of N. vectensis or in the large EST datasets of Hydra magnipapillata, and search in Repbase did not show any homologs. However, members of these A. viridis repeated elements could be found in the limited EST datasets available for the symbiotic coral Acropora millepora and the sea anemone Anthopleura elegantissima. Further structural and functional characterisations of these repeated elements are currently being made.

Figure 2
figure 2

Representative repeated element found in many 3'UTRs of A. viridis coding genes. A: Schematic representation of the same repeated element found downstream of the ORF of the following A. viridis homologs: thioredoxin, myosin (opposite orientation) and VTA1 (truncated form). B: Calculated secondary structure (Mfold2.3 program) of the two first repeats, showing the formation of an extremely stable hairpin in the 3'UTRs of the myosin gene.

Full size image

Comparative analysis to related taxa

Because the cDNA library was made from symbiotic tissue, we expected to find ESTs related both to the cnidarian host and to its dinoflagellate symbionts. The analysis pipeline used in this study is presented in Figure 1. Sequences were compared with SwissProt (2008.03) and Uniprot KB (TrEMBL+Swissprot) (2008.03) databases using BlastX with a cutoff E-value of < 1.10-10 to retrieve functional annotations. Of the assembled dataset, 6,238 UniSeqs had putative similarities while 8,266 had no similarity to any sequences in the chosen databases. Sequences were also compared with NCBI-indexed prokaryotic nucleic sequences (2007.08 release), using BlastN with a stringent E-value of < 1.10-15 to assess the proportion of prokaryotic sequences. Finally, a specific search of the UniSeqs for virus proteins returned 7 hits. Relative contribution is shown in Figure 3. First of all, a relatively high proportion of sequences (57%) remained that showed no significant similarities to previously described genes and were therefore considered as 'unknown'. This is somewhat comparable with results obtained from other cnidaria, Acropora palmata, Acropora millepora, Montastrea faveolata, and Nematostella vectensis [19, 24]. Most of the UniSeqs identified in Symbiodinium sp were also of unknown origin [28]. Metazoan hits were found for 32.3% of UniSeqs (75% of annotated sequences). Among these, most of the annotated UniSeqs (4,266 out of 4685) matched with Nematostella vectensis predicted proteins. However, we also identified sequences that were clearly from the host (first Blast hits of metazoan origin with cutoff E-value < 1.10-50), but these had no significant similarity to predicted proteins of N. vectensis. Three of these (a glycoprotein, a ferroxidase and an amine-oxidase) were studied in more detail (Figure 4). PCR and sequencing were first performed on genomic DNA from both A. viridis epiderm and in vitro cultured Symbiodinium, which confirmed the animal origin of these sequences (Figure 4A). The first sequence studied is related to the ependymin glycoprotein family (more specifically to the Mammalian Ependymin-Related Proteins group or MERP1), which has been well described in vertebrates due to its involvement in the regeneration processes. Ependymins are secretory proteins that can bind calcium and that were found predominantly in the cerebrospinal fluid of teleost fish. A bound form has been described, associated with the extracellular matrix. Recent data demonstrated that these proteins are also present in non-vertebrate deuterostomes and protostomes [35], and that positive selection may have shaped their evolution. Figure 4B illustrates an amino acid alignment of A. viridis MERP sequences to homologous proteins found in publicly available databases (Bayesian analysis of the MERP sequence confirmed the phylogenetic relationship, not shown). The presence of ependymin proteins in basal organisms clearly indicates for the first time that this protein family is far older than previously thought (first described as chordate-specific, then deuterostome-specific, and finally also found in protostomes).

In addition, there are at least 3 distinct MERP homologues in A. viridis, all of animal origin. As this is never the case in other phyla (only one homologue was found in any other species), we could hypothesize that MERP are important for symbiosis in cnidarians. The second sequence is related to a copper-dependent ferroxidase family protein (hephaestin) involved in copper detoxification, which has been described both in eukaryotes (unicellular eukaryotes and vertebrates) and prokaryotes. Nevertheless, no significant similarity was found in D. melanogaster or in C. elegans genomes, nor in any available protostome database, suggesting that this has been lost during protostome evolution. The third sequence is related to a prokaryotic amine-oxidase (permease) family protein, which has also been identified in the genome of C. elegans and other Caenorhabditidae but not in any other animal sequence database. Such species-specific occurrence could be explained by the presence of a similar prokaryote in both nematoda and A. viridis associated flora (sequence contamination) or a parallel gene transfer event during their evolution. However, molecular phylogenetic analyses (neighbor joining, maximum parsimony and maximum likelihood) showed that cnidarian and rhabditidae nematode sequences cluster to outside other prokaryote representative gene sequences (Additional file 5). The latter rather suggest that amine-oxidase genes were maintained in these taxa but lost in other metazoa.

Figure 3
figure 3

Distribution of BLAST results. Pie charts of the distribution of UniSeqs by organism. A: Distribution of all UniSeqs (unknown vs annotated sequences). B: Distribution of annotated UniSeqs. The sequences were annotated using the pipeline shown in Figure 3, and assigned a putative origin based on the Blast results. The term "putative associated flora" covers sequences from prokaryotes (21% of annotated sequences), fungi (0.3%) and viruses (0.1%).

Full size image
Figure 4
figure 4

Evidence for specific metazoan genes isolated from Anemonia , but not found in the Nematostella genome. A: PCR results confirming the metazoan origin of MERP, Ferroxidase and Amine-oxidase genes. Amplifications were performed on genomic DNA from ectodermal cells (specific to A. viridis, E), cultured zooxanthellae (specific to Symbiodinium, CZ), or holobiont tissues (both A. viridis and Symbiodinium, H), and water as a negative control (C). Three other specific genes were used to confirm the resulting profiles: S sp EF2 is the nuclear gene for Symbiodinium sp elongation factor 2, S sp psbA is the chloroplast-encoded gene for Symbiodinium sp photosystem II protein D1, and Av EF1 is the nuclear gene for A. viridis elongation factor 1 alpha. B: Amino acids alignment of several MERP sequences from Anemonia viridis (Av) Acropora millepora (Am), Mus musculus (Mm), Homo sapiens (Hs) and Carassius auratus (Ca). Signal peptides are highlighted in yellow.

Full size image

Quite a large proportion of UniSeqs (9%) were uniquely shared with prokaryotes, of which Proteobacteria was the most prominent bacterial group (Pseudomonas, Bordetella, and Burkholderia). The holobiont has already been described as a dynamic assemblage, made up of the animal host, zooxanthellae, endolithic algae and fungi, Bacteria, and Archea [7]. Such "prokaryotic sequences" could therefore be assigned to the sea anemone-associated flora. In addition, a small but significant number of A. viridis sequences, recognized as being of prokaryotic origin based on Blast analysis, had already been identified in the N. vectensis genome. Such genes are clearly similar in sequence to prokaryotic homologs, although they contain introns. In N. vectensis and A. millepora they were proposed as "ancient genes", conserved in cnidarians but lost in other animal genomes [19]. Although our results are in line with this interpretation, comparative genomic studies among cnidarians, such as A. viridis, could help to identify the most probable evolutionary scenario between maintenance of "non-metazoan" genes in cnidarians or lateral gene transfer events, followed by rapid intron acquisition.

Surprisingly, only a small fraction of our dataset could be assigned to unicellular eukaryote sequences (putative Symbiodinium sp, 3.6% of annotated sequences). Two well accepted explanations have been proposed: i) poor representation of dinoflagellate sequences in databases, leading to wrong assignment after Blast analysis; and ii) technical bias due to the Symbiodinium cell wall impairing complete RNA extraction with standard methods, thus leading to an under-representative number of cDNAs in our library.

GC content was calculated for all UniSeqs to better assign a source to the transcripts (species of origin). Figure 5 represents the distribution of GC content in the three major taxa (metazoans, unicellular eukaryotes and associated prokaryotic flora), as well as for sequences without BlastX hits (unknown). Two distinct distribution curves were observed, with the metazoan ESTs averaging 40% GC, while bacterial ESTs averaged 63%. Despite our small number of Symbiodinium sequences, their GC content (58%) agreed with that already published for dinoflagellates, which have a relatively high GC content compared with other eukaryotes: Triplett et al [36] calculated a GC content of 64% for Heterocapsa pygmaea and an EST analysis of Alexandrium tamarense estimated that coding region GC-content was 60.8%, whereas GC-content in the 3'-UTR was slightly less, at 57.6% [37]. GC-content analysis of our unknown sequences revealed that ESTs were clustered around two peaks corresponding to 35% and 58% GC content for the larger and smaller peaks respectively. These data strongly suggest that most of the unknown sequences are likely to be of animal origin. As the GC content of 3' UTRs is usually lower than that of 5' UTRs or CDSs, these results are also consistent with our hypothesis that these sequences are mainly 3' UTR (due to cloning strategy), which also explains their low level of annotation. On the other hand, the smaller peak (58% GC) could be attributed to dinoflagellate sequences, although no dinoflagellate genome is currently available to test this, and the most closely related available genomes are those of apicomplexans (Plasmodium falciparum and Toxoplasma gondii), which are also compact genomes of parasitic protozoans.

Figure 5
figure 5

GC-content distribution of unique sequences. The GC-content was calculated for all UniSeqs and compared with Blast results to assign a putative origin to the sequences. The GC-content distribution is presented by putative origin for annotated sequences (A. viridis, Symbiodinium or associated flora). Results related to sequences of unknown function (dashed line) are discussed in the text.

Full size image

To gain some insight into genes potentially involved in symbiosis among cnidaria, we performed comparative Blast analyses on the subpart of A. viridis sequences that were of animal origin (12,448 sequences). They were subjected to tBlastX (cutoff E-value of < 1.10-10) against cnidarian EST sequences available in NCBI-dbEST (2009.05). A parallel BlastX (cutoff E-value of < 1.10-10) was performed against the N. vectensis predicted proteins dataset. Table 2 gives the number of positive Blast hits (presence vs absence) obtained from A. viridis sequences against ESTs from selected cnidarian species. This comparison highlighted two species with a high number of homologous sequences, the sea anemone M. senile and the symbiotic stony corals A. millepora and A. palmata. In the Figure 6 Venn diagram we compared A. viridis with two non symbiotic species (N. vectensis and M. senile), and the symbiotic Acropora species: 1,535 sequences were common to the four species, while only 129 sequences (of which 88 have no BlastX hit) were specific to the symbiotic species, which probably contain candidate genes required for the symbiosis.

Figure 6
figure 6

Venn diagram illustrating the distribution of positive blast hits between A. viridis and selected Cnidaria. Positive hits were identified using tBlastX (ESTs from M. senile and Acropora) or BlastX (predicted proteins dataset of N. vectensis), using a cutoff E-value of < 1.10-10. 129 genes are common to the symbiotic species, A. viridis and at least one species of Acropora.

Full size image
Table 2 Distribution of positive blast hits among Cnidaria
Full size table

Functional classification of ESTs

Finally, this set of UniSeqs was annotated using similarity searches in both nucleotide and protein databases, as well as domain searches. Gene ontology terms were then assigned automatically using customized scripts based on InterProScan search results. We also submitted N. vectensis predicted proteins to the same InterProScan analysis for a comparative approach. To homogenize annotation level we only kept the root domain, using the hierarchical domain organization available from EBI. InterPro protein domains were identified in 40% of proteins. Based on similarity searches (Figure 3), we assigned putative taxa (A. viridis, Symbiodinium or associated flora) to each unique sequence. Figure 7 represents the distribution of assigned gene ontology terms. Comparison of domain occurrence in A. viridis with that in N. vectensis demonstrated that our library is highly representative of the Actinaria transcriptome. We also identified increased abundance of a number of molecular functions in A. viridis compared with N. vectensis: translation regulator activity (0.46 vs 0.23%), oxidoreductase activity (6.86 vs 4.98%), antioxidant activity (0.07 vs 0.03%), and structural molecule activity (3.24 vs 1.28%). It is noteworthy that some of these molecular functions are involved in symbiotic interactions with zooxanthellae, such as protein binding [24], nutrient transport and antioxidant activity [8]. For example, A. viridis counters the oxidative stress produced by the photosynthetic activity of its symbionts by using a great diversity of antioxidant defences [38]. Some biological processes were also increased in the A. viridis dataset compared with N. vectensis: secretion (0.81 vs 0.36%) and catabolism (0.65 vs 0.26%). The cytoplasmic components were also found to be more highly represented in A. viridis compared with N. vectensis (20.42 vs 9.59%).

Figure 7
figure 7

Distribution of gene ontology terms. From the A. viridis library, a total of 29% of the UniSeqs were assigned GO terms. Unique sequences were also sorted using their putative origin (A. viridis, Symbiodinium sp or associated flora). For N. vectensis, 51% of the 27,273 predicted proteins were assigned GO terms.

Full size image

All these differences between the present A. viridis dataset and the N. vectensis genome may reflect the crucial role of trophic exchanges between the sea anemone and its dinoflagellate symbionts, as well as specific host adaptations.

Conclusion

This large EST collection has provided high quality data on all aspects of a temperate symbiotic cnidarian, particularly with regard to coding sequences and regulation features. For example, we identified many novel repeated elements (RE) in 3'UTRs, suggesting an invasion of most animal sequences by some specific RE families. It will be interesting to further investigate their potential biological role, particularly on gene regulation. Phylogenetic origin and functional classification of the holobiont sequences allowed the identification of several symbiotic candidate genes. These data are now being used to develop a dedicated microarray that will provide a valuable resource for future studies on symbiotic interactions in A. viridis. Furthermore, these data also have shown the importance of Symbiodinium symbionts as well as the associated flora of the three major prokaryotic species. Some sequences will be further analysed from the new perspective of gene transfer between host and symbiont. The relatively low abundance of sequences from Symbiodinium was attributed to experimental bias; a new ongoing sequencing project should fill this gap. Finally, these data from a temperate zone cnidarian provide novel molecular insights that will complement those obtained from tropical anthozoans. This dataset is valuable resource that will be of great help for comparative genomics and evolutionary studies.

Methods

Sampling and cDNA library construction

To maximize the diversity of genes expressed in the symbiotic association under both normal and stress conditions, sea anemones were subjected to different controlled stress conditions before RNA extraction and cDNA library construction.

Specimens of the Mediterranean sea anemone, Anemonia viridis (Forskål, 1775), were collected close to Villefranche-sur-mer (France). During an initial acclimatation period of at least 4 weeks, animals were maintained in tanks of running seawater at 17 ± 1°C with a light intensity of 250 μmol quanta m-2s-1 (overhead metal halide lamps Philips HQI TS 400W), on a 12 h light/12 h dark cycle (starting at 8 am). Animals were fed once a week. After the acclimatation period, animals were treated and sampled (five tentacles from each specimen, four specimens from each experiment except for the hyperoxia stress) as follows:

  • Light/dark cycle: sampling was performed at different times of the day (10 am and 7 pm) and night (7 am and 10 pm).

  • Thermal stress: sea water was heated from 17°C to 24°C over 2·hrs and maintained at this maximal temperature for 5·days. Five A. viridis tentacles were sampled after 1, 2 and 5 days of continuous thermal stress.

  • Hyperoxia condition: three specimens of A. viridis were subjected to 10·h of 100% O2 at 17.0 ± 1°C under a constant irradiance of 250·μmol·m-2·s-1. Oxygen saturation of the medium was achieved by bubbling pure O2 through seawater and was monitored using a gas analyser (Radiometer Copenhagen ABL 30; Copenhagen, Denmark).

  • Bleached specimens, resulting from symbiosis disruption, and maintained bleached over several years (at 17°C in dark conditions) were also sampled.

The mRNAs were then extracted using Trizol Reagent (Invitrogen), as described in Richier et al. [39], and equal amounts of mRNA from the different conditions described above were combined before cDNA library construction. A. viridis cDNA library was generated at the RZPD (Deutsches Ressourcenzentrum für Genomforschung GmbH, Berlin, Germany) by oligodT, random priming and directionally cloning into pSPORT1. From this library, 50,304 clones were picked, replicated and subsequently sequenced at the Genoscope (French national sequencing centre). High-throughput sequencing of 5'end was performed using a Big-Dye terminator cycle sequencing kit and M13 reverse primer on an ABI-3730 Genetic Analyzer (Applied Biosystems) following the manufacturer's protocol (Genoscope, Evry, France). 41,247 chromatograms were thus generated and further analyzed.

EST processing and analysis

EST sequences were processed using SURF analysis pipeline tools (SURF: SeqUence Repository and Feature detection, developed by the SIGENAE team, Dehais Patrice and Eddie Iannucelli, INRA, Toulouse). Basically, SURF provided an integrated solution, from chromatogram data storage to cloned insert detection, by integrating several dedicated bioinformatic software programs (sequence base calling, vector detection, etc.) in order to produce relevant nucleotide sequences according to base quality and feature detection. The chromatogram files were exported to PHRED for base calling [40, 41]. Cloned insert detection was made according to different detected features (vector, adaptator, poly(A) or poly(T) tails and repeat) and their respectively positions, using third party programs (Crossmatch and RepeatMasker). Only inserts with more than 100 bp, with a Phred score >20, and not belonging to a low complexity area were exported into a fasta format with its corresponding quality file. Additional extremity trimming was made using the "trimseq" command (EMBOSS package). Low complexity regions and repeats were masked using the RepeatMasker program [42]. For this purpose, two different libraries were used: the RepeatMaskerLib (RepBase Update of 2007.09.24, [43]) and a custom library of A. viridis. This custom library was made both by using CENSOR [44] to retrieve publicly available repeats, and by running a BlastN of all ESTs against themselves to identify the most abundant repeat regions.

High quality ESTs (39,939) were then assembled into contigs using the TIGR-TGICL tool [32].

Repeated elements analysis

Putative transposable elements (46 sequences) were first identified based on homology search after BlastX analysis against UniProt KB (E-value of < 1.10-20). An additional local BlastN search was performed using the EST dataset both as query sequence file and target database. Repeated motif sequences, i.e. repeats occurring more than twice from non overlapping ESTs, were selected as a first screen repeats dataset. These were used, together with the Repbase repeats library, to mask our EST sequences before clustering and assembling (TGICL). The same first screen dataset was then BlastN compared with the assembled database, and repeated motif sequences occurring on more than two different UniSeqs (E-value of < 1.10-20) were considered as A. viridis repeat sequences.

Gene Ontology annotation

Gene functions were automatically assigned to 39% of the predicted proteins (5,652 UniSeqs). This assignment was based on the identification of InterPro (IPR) domains [45] using InterproScan [46] and the following command line: iprscan -cli -i unisequences.fa -o unisequences.ipr.raw -seqtype n -goterms -iprlookup -format raw. For comparative analysis of IPR domains found in the A. viridis dataset, we also ran the program InterproScan on the predicted N. vectensis proteome dataset. To homogenize the granularity level of annotation between organisms for each non-overlapping set of domains found, we only kept the root domain. We used the hierarchical organization of domains proposed in the "Parent-Child" description available on the EBI public ftp server ftp://ftp.ebi.ac.uk/pub/databases/interpro/ParentChildTreeFile.txt. For example, all CYP proteins which have a P450 domain ([InterPro:IPR002949], [InterPro: IPR002397], [InterPro: IPR008070]) were counted at their root domain (IPR001128).

Comparative genomic analysis

All contig and singleton sequences were compared with several databases, using Blast: the Nematostella vectensis draft genome (Predicted proteins, http://www.jgi.doe.gov/), SwissProt (2008.03), TrEMBL (2008.03) and other ESTs from symbiotic cnidarian species (Acropora millepora, Acropora palmata, Aiptasia pallida, Montastrea faveolata) or from non symbiotic species (Metridium senile).

To confirm the origin of some selected genes, amplifications were performed on 10 ng of genomic DNA from A. viridis epidermal cells (non-symbiotic cells, animal origin [39]), cultured Symbiodinium cells extracted from A. viridis tentacles (non symbiotic cells, symbiont origin), and whole tentacle extracts (symbiotic cells, both animal and symbionts). Primers designed in the experiment are presented in Additional file 6 and were used in 40-cycle PCR reactions. Elongation factor 1 alpha and Elongation factor 2 were used as positive controls for nuclear-encoded genes from A. viridis and Symbiodinium spp, respectively, while psbA (photosystem II protein D1) was used as a positive control for chloroplast-encoded Symbiodinium spp genes. Sequence alignment was done using Multalin [47]. Signal peptide prediction was performed using SignalP [48]. Phylogenetic analyses were done using both MEGA 4.0 [49] and PHYML [50] software.

Accession numbers

The ESTs generated in this study were submitted to dbEST ([GenBank:FK719875–FK759813]). Accession numbers of sequences used in MERP alignment: Am_MERP, Acropora millepora, [GenBank:EZ013381.1]; Mm_MERP, Mus musculus, [REFSEQ:NP_598826]; Hs_MERP, Homo sapiens, [REFSEQ:NP_060019]; Ca_MERP1, Carassius auratus, [GenBank: X14134.1]; Ca_MERP2, Carassius auratus, [GenBank: J04986.1].

References

  1. Falkowski PJ, Dubinsky Z, Muscatine L, Porter JW: Light and the bioenergetics of a symbiotic coral. Bioscience. 1984, 34: 705-709. 10.2307/1309663.

    Article  CAS  Google Scholar 

  2. Furla P, Benazet-Tambutte S, Jaubert J, Allemand D: Functional polarity of the tentacle of the sea anemone Anemonia viridis: role in inorganic carbon acquisition. Am J Physiol. 1998, 274 (2 Pt 2): R303-R310.

    CAS  PubMed  Google Scholar 

  3. Grover R, Maguer J-F, Reynaud-Vaganay S, Ferrier-Pagès C: Uptake of ammonium by the scleractinian coral Stylophora pistillata: Effect of feeding, light, and ammonium concentrations. Limnol. Oceanogr. 2002, 47 (3): 791-802.

    Article  Google Scholar 

  4. Muscatine L, Masuda H, Burnap R: Ammonium uptake by symbiotic and aposymbiotic reef corals. Bulletin of Marine Science. 1979, 29 (4): 572-575(4).

    CAS  Google Scholar 

  5. Muller-Parker G, McCloskey LR, Hoegh-Guldberg O, McAuley PJ: Feeding affects phosphate fluxes in the symbiotic sea anemone Aiptasia pallida. Mar Ecol Prog Ser. 1990, 60: 283-290. 10.3354/meps060283.

    Article  CAS  Google Scholar 

  6. Rohwer F, Seguritan V, Azam F, Knowlton N: Diversity and distribution of coral-associated bacteria. Mar Ecol Prog Ser. 2002, 243: 1-10. 10.3354/meps243001.

    Article  Google Scholar 

  7. Wegley L, Edwards R, Rodriguez-Brito B, Liu H, Rohwer F: Metagenomic analysis of the microbial community associated with the coral Porites astreoides. Environ Microbiol. 2007, 9 (11): 2707-2719. 10.1111/j.1462-2920.2007.01383.x.

    Article  CAS  PubMed  Google Scholar 

  8. Furla P, Allemand D, Shick JM, Ferrier-Pages C, Richier S, Plantivaux A, Merle P-L, Tambutte S: The Symbiotic Anthozoan: A Physiological Chimera between Alga and Animal. Integr Comp Biol. 2005, 45 (4): 595-604. 10.1093/icb/45.4.595.

    Article  CAS  PubMed  Google Scholar 

  9. Shick JM, Dunlap WC: Mycosporine-like amino acids and related gadusols: Biosynthesis, accumulation, and UV-protective functions in aquatic organisms. Annu Rev Physiol. 2002, 64: 223-262. 10.1146/annurev.physiol.64.081501.155802.

    Article  CAS  PubMed  Google Scholar 

  10. Merle P-L, Sabourault C, Richier S, Allemand D, Furla P: Catalase characterization and implication in bleaching of a symbiotic sea anemone. Free Rad Biol Med. 2007, 42 (2): 236-246. 10.1016/j.freeradbiomed.2006.10.038.

    Article  CAS  PubMed  Google Scholar 

  11. Richier S, Merle P-L, Furla P, Pigozzi D, Sola F, Allemand D: Characterization of superoxide dismutases in anoxia- and hyperoxia-tolerant symbiotic cnidarians. Biochim Biophys Acta. 2003, 1621 (1): 84-91.

    Article  CAS  PubMed  Google Scholar 

  12. Furla P, Galgani I, Durand I, Allemand D: Sources and mechanisms of inorganic carbon transport for coral calcification and photosynthesis. J Exp Biol. 2000, 203 (22): 3445-3457.

    CAS  PubMed  Google Scholar 

  13. Porter JW, Tougas JI: Reef Ecosystems: Threats to their Biodiversity. Encyclopedia of Biodiversity. Edited by: Levin S. 2001, New York: Elsevier, 73-95. 10.1006/rwbd.1999.0064.

    Chapter  Google Scholar 

  14. Knowlton N: Coral reefs. Curr Biol. 2008, 18 (1): R18-R21. 10.1016/j.cub.2007.11.018.

    Article  CAS  PubMed  Google Scholar 

  15. Hoegh-Guldberg O: Climate change coral bleaching and the future of the world's coral reefs. Mar Freshwater Res. 1999, 50: 839-866. 10.1071/MF99078.

    Article  Google Scholar 

  16. Dove S, Ortiz JC, Enríquez S, Fine M, Fisher P, Iglesias-Prieto R, Thornhill D, Hoegh-Guldberg O: Response of holosymbiont pigments from the scleractinian coral Montipora monasteriata to short-term heat stress. Limnol. Oceanogr. 2006, 51 (2): 1149-1158.

    Article  Google Scholar 

  17. Miller DJ, Ball EE: Cryptic complexity captured: the Nematostella genome reveals its secrets. Trends Genet. 2008, 24 (1): 1-4. 10.1016/j.tig.2007.10.002.

    Article  CAS  PubMed  Google Scholar 

  18. Putnam NH, Srivastava M, Hellsten U, Dirks B, Chapman J, Salamov A, Terry A, Shapiro H, Lindquist E, Kapitonov VV, et al: Sea Anemone Genome Reveals Ancestral Eumetazoan Gene Repertoire and Genomic Organization. Science. 2007, 317 (5834): 86-94. 10.1126/science.1139158.

    Article  CAS  PubMed  Google Scholar 

  19. Technau U, Rudd S, Maxwell P, Gordon PMK, Saina M, Grasso LC, Hayward DC, Sensen CW, Saint R, Holstein TW, et al: Maintenance of ancestral complexity and non-metazoan genes in two basal cnidarians. Trends Genet. 2005, 21 (12): 633-639. 10.1016/j.tig.2005.09.007.

    Article  CAS  PubMed  Google Scholar 

  20. Metazome Hydra magnipapillata Browser. [http://hydrazome.metazome.net/cgi-bin/gbrowse/hydra/]

  21. Daly M, Chaudhuri A, Gusmao L, Rodriguez E: Phylogenetic relationships among sea anemones (Cnidaria: Anthozoa: Actiniaria). Molecular phylogenetics and evolution. 2008, 48 (1): 292-301. 10.1016/j.ympev.2008.02.022.

    Article  CAS  PubMed  Google Scholar 

  22. Kortschak RD, Samuel G, Saint R, Miller DJ: EST Analysis of the Cnidarian Acropora millepora Reveals Extensive Gene Loss and Rapid Sequence Divergence in the Model Invertebrates. Curr Biol. 2003, 13 (24): 2190-2195. 10.1016/j.cub.2003.11.030.

    Article  CAS  PubMed  Google Scholar 

  23. Kuo J, Chen M-C, Lin C-H, Fang L-S: Comparative gene expression in the symbiotic and aposymbiotic Aiptasia pulchella by expressed sequence tag analysis. Biochem Biophys Res Comm. 2004, 318 (1): 176-186. 10.1016/j.bbrc.2004.03.191.

    Article  CAS  PubMed  Google Scholar 

  24. Schwarz JA, Brokstein PB, Voolstra C, Terry AY, Manohar CF, Miller DJ, Szmant AM, Coffroth MA, Medina M: Coral life history and symbiosis: functional genomic resources for two reef building Caribbean corals, Acropora palmata and Montastraea faveolata. BMC genomics. 2008, 9: 97-10.1186/1471-2164-9-97.

    Article  PubMed Central  PubMed  Google Scholar 

  25. DeSalvo MK, Voolstra CR, Sunagawa S, Schwarz JA, Stillman JH, Coffroth MA, Szmant AM, Medina M: Differential gene expression during thermal stress and bleaching in the Caribbean coral Montastraea faveolata. Molecular ecology. 2008, 17 (17): 3952-3971. 10.1111/j.1365-294X.2008.03879.x.

    Article  CAS  PubMed  Google Scholar 

  26. Grasso LC, Maindonald J, Rudd S, Hayward DC, Saint R, Miller DJ, Ball EE: Microarray analysis identifies candidate genes for key roles in coral development. BMC genomics. 2008, 9: 540-10.1186/1471-2164-9-540.

    Article  PubMed Central  PubMed  Google Scholar 

  27. Voolstra CR, Schwarz JA, Schnetzer J, Sunagawa S, Desalvo MK, Szmant AM, Coffroth MA, Medina M: The host transcriptome remains unaltered during the establishment of coral-algal symbioses. Molecular ecology. 2009, 18 (9): 1823-1833. 10.1111/j.1365-294X.2009.04167.x.

    Article  CAS  PubMed  Google Scholar 

  28. Leggat W, Hoegh-Guldberg O, Dove S, Yellowlees D: Analysis of an EST library from the dinoflagellate (Symbiodinium sp.) symbiont of reef-building corals. J Phycol. 2007, 43 (5): 1010-1021. 10.1111/j.1529-8817.2007.00387.x.

    Article  CAS  Google Scholar 

  29. Voolstra CR, Sunagawa S, Schwarz JA, Coffroth MA, Yellowlees D, Leggat W, Medina M: Evolutionary analysis of orthologous cDNA sequences from cultured and symbiotic dinoflagellate symbionts of reef-building corals (Dinophyceae: Symbiodinium). Comparative Biochemistry and Physiology Part D: Genomics and Proteomics. 2009, 4 (2): 67-74. 10.1016/j.cbd.2008.11.001.

    Google Scholar 

  30. Vega Thurber R, Willner-Hall D, Rodriguez-Mueller B, Desnues C, Edwards RA, Angly FE, Dinsdale E, Kelly L, Rohwer F: Metagenomic analysis of stressed coral holobionts. Environmental Microbiology. 2009, 11 (7): 1752-1766. 10.1111/j.1462-2920.2009.01901.x.

    Article  Google Scholar 

  31. Savage AM, Goodson MS, Visram S, Trapido-Rosenthal H, Wiedenmann J, Douglas AE: Molecular diversity of symbiotic algae at the latitudinal margins of their distribution: dinoflagellates of the genus Symbiodinium in corals and sea anemones. Mar Ecol Prog Ser. 2002, 244: 17-26. 10.3354/meps244017.

    Article  Google Scholar 

  32. Pertea G, Huang X, Liang F, Antonescu V, Sultana R, Karamycheva S, Lee Y, White J, Cheung F, Parvizi B, et al: TIGR Gene Indices clustering tools (TGICL): a software system for fast clustering of large EST datasets. Bioinformatics. 2003, 19 (5): 651-652. 10.1093/bioinformatics/btg034.

    Article  CAS  PubMed  Google Scholar 

  33. Theil EC: Coordinating responses to iron and oxygen stress with DNA and mRNA promoters: The ferritin story. BioMetals. 2007, 20 (3–4): 513-521. 10.1007/s10534-006-9063-6.

    Article  CAS  PubMed  Google Scholar 

  34. Richier S, Rodriguez-Lanetty M, Schnitzler CE, Weis VM: Response of the symbiotic cnidarian Anthopleura elegantissima transcriptome to temperature and UV increase. Comparative Biochemistry and Physiology Part D: Genomics and Proteomics. 2008, 3 (4): 283-289. 10.1016/j.cbd.2008.08.001.

    Google Scholar 

  35. Suarez-Castillo EC, Garcia-Arraras JE: Molecular evolution of the ependymin protein family: a necessary update. BMC evolutionary biology. 2007, 7: 23-10.1186/1471-2148-7-23.

    Article  PubMed Central  PubMed  Google Scholar 

  36. Triplett EL, Jovine RV, Govind NS, Roman SJ, Chang SS, Prezelin BB: Characterization of two full-length cDNA sequences encoding for apoproteins of peridinin-chlorophyll a-protein (PCP) complexes. Molecular marine biology and biotechnology. 1993, 2 (4): 246-254.

    CAS  PubMed  Google Scholar 

  37. Hackett JD, Scheetz TE, Yoon HS, Soares MB, Bonaldo MF, Casavant TL, Bhattacharya D: Insights into a dinoflagellate genome through expressed sequence tag analysis. BMC genomics. 2005, 6 (1): 80-10.1186/1471-2164-6-80.

    Article  PubMed Central  PubMed  Google Scholar 

  38. Richier S, Furla P, Plantivaux A, Merle P-L, Allemand D: Symbiosis-induced adaptation to oxidative stress. J Exp Biol. 2005, 208 (2): 277-285. 10.1242/jeb.01368.

    Article  PubMed  Google Scholar 

  39. Richier S, Sabourault C, Courtiade J, Zucchini N, Allemand D, Furla P: Oxidative stress and apoptotic events during thermal stress in the symbiotic sea anemone, Anemonia viridis. The FEBS journal. 2006, 273 (18): 4186-4198. 10.1111/j.1742-4658.2006.05414.x.

    Article  CAS  PubMed  Google Scholar 

  40. Ewing B, Green P: Base-calling of automated sequencer traces using phred. II. Error probabilities. Genome research. 1998, 8 (3): 186-194.

    Article  CAS  PubMed  Google Scholar 

  41. Ewing B, Hillier L, Wendl MC, Green P: Base-calling of automated sequencer traces using phred. I. Accuracy assessment. Genome research. 1998, 8 (3): 175-185.

    Article  CAS  PubMed  Google Scholar 

  42. RepeatMasker Open-3.1.5. [http://www.repeatmasker.org]

  43. Jurka J, Kapitonov VV, Pavlicek A, Klonowski P, Kohany O, Walichiewicz J: Repbase Update, a database of eukaryotic repetitive elements. Cytogenetic and genome research. 2005, 110 (1–4): 462-467. 10.1159/000084979.

    Article  CAS  PubMed  Google Scholar 

  44. Jurka J, Klonowski P, Dagman V, Pelton P: CENSOR – a program for identification and elimination of repetitive elements from DNA sequences. Computers & chemistry. 1996, 20 (1): 119-121. 10.1016/S0097-8485(96)80013-1.

    Article  CAS  Google Scholar 

  45. Mulder NJ, Apweiler R, Attwood TK, Bairoch A, Bateman A, Binns D, Bork P, Buillard V, Cerutti L, Copley R, et al: New developments in the InterPro database. Nucl Acids Res. 2007, 35: D224-228. 10.1093/nar/gkl841.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  46. Quevillon E, Silventoinen V, Pillai S, Harte N, Mulder N, Apweiler R, Lopez R: InterProScan: protein domains identifier. Nucl Acids Res. 2005, 33: W116-120. 10.1093/nar/gki442.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  47. Corpet F: Multiple sequence alignment with hierarchical clustering. Nucl Acids Res. 1988, 16 (22): 10881-10890. 10.1093/nar/16.22.10881.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  48. Emanuelsson O, Brunak S, von Heijne G, Nielsen H: Locating proteins in the cell using TargetP, SignalP, and related tools. Nature Protocols. 2007, 2: 953-971. 10.1038/nprot.2007.131.

    Article  CAS  PubMed  Google Scholar 

  49. Tamura K, Dudley J, Nei M, Kumar S: MEGA4: Molecular Evolutionary Genetics Analysis (MEGA) Software Version 4.0. 2007, 24 (8): 1596-1599.

    Google Scholar 

  50. Guindon S, Lethiec F, Duroux P, Gascuel O: PHYML Online – a web server for fast maximum likelihood-based phylogenetic inference. 2005, 33 (suppl_2): W557-559.

    Google Scholar 

Download references

Acknowledgements

This work was supported by CNRS (GIS Génomique Marine) and ANR (JCJC05-AGeSyMar) grants. PG was funded through the ANR grant. We thank P. Wincker and the Genoscope team for high-throughput sequencing. We are extremely grateful to H. McCombie-Boudry for her writing contribution.

Author information

Authors and Affiliations

  1. EA4228 ECOMERS, Université de Nice-Sophia-Antipolis, Nice, France

    Cécile Sabourault, Philippe Ganot, Denis Allemand & Paola Furla

  2. UMR6243, Centre National de la Recherche Scientifique, Sophia-Antipolis, France

    Emeline Deleury

  3. UMR6243, Université de Nice-Sophia-Antipolis, Sophia-Antipolis, France

    Emeline Deleury

  4. UMR6243, Institut National de la Recherche Agronomique, Sophia-Antipolis, France

    Emeline Deleury

  5. Centre Scientifique de Monaco, Principauté de Monaco, France

    Denis Allemand

Authors
  1. Cécile Sabourault
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Philippe Ganot
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Emeline Deleury
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Denis Allemand
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Paola Furla
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Cécile Sabourault.

Additional information

Authors' contributions

CS and PF contributed to the experimental design and sampling. CS oversaw the cDNA library construction and sequencing. CS, PG and ED participated in the assembly and annotation, performed comparative studies and drafted the manuscript. ED did the database work. PF and DA advised on all aspects of the work, with major contributions on sea anemone biology and writing. All authors read and approved the final manuscript.

Electronic supplementary material

12864_2009_2217_MOESM1_ESM.png

Additional file 1: Anemonia viridis body organisation. Body plan organisation of a symbiotic sea anemone (epiderm, mesoglea, gastroderm), and localisation of symbionts (zooxanthellae) within gastrodermal cells. (PNG 79 KB)

12864_2009_2217_MOESM2_ESM.jpeg

Additional file 2: Phylogenetic relationships among cnidaria. The tree shows the relative position of the selected species cited in this study, according to M. Daly and N. Knowlton. Symbiotic species hosting zooxanthellae are highlighted (*). (JPEG 51 KB)

12864_2009_2217_MOESM3_ESM.doc

Additional file 3: Summary of the EST analysis. The table provides statistics on sequencing, assembling and analysis of A. viridis ESTs. (DOC 32 KB)

12864_2009_2217_MOESM4_ESM.ppt

Additional file 4: Distribution of ESTs among contigs. The distribution of the number of ESTs per contig presented as a histogram, with results grouped in classes of abundance (2–5, 6–10, 11–15, etc). (PPT 39 KB)

12864_2009_2217_MOESM5_ESM.ppt

Additional file 5: Phylogenetic trees of Amine-oxidase sequences. Three different methods of reconstruction have been used, Neighbor-Joining (A), Maximum Parsimony (B), and Maximum Likehood (C). The A. viridis gene has been compared to sequences from the stony coral A. millepora (GenBank: DY579173), the rhabditidae Caenorhabditis elegans (NCBI Reference Sequence: NM_059688.1) and Caenorhabditis briggsae (NCBI Reference Sequence: XM_001899776.1), the proteobacteria Plesiocystis pacifica (NCBI Reference Sequence: ZP_01909563.1) and Beggiatoa sp (NCBI Reference Sequence: ZP_02000236.1), and the cyanobacteria Crocosphaera watsonii (NCBI Reference Sequence: ZP_00514584.1) (PPT 116 KB)

12864_2009_2217_MOESM6_ESM.doc

Additional file 6: Primer sequences. The Table shows the sequence of the primers used to amplify the selected metazoan genes from A. viridis epidermal genomic DNA. (DOC 29 KB)

Authors’ original submitted files for images

Rights and permissions

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Reprints and Permissions

About this article

Cite this article

Sabourault, C., Ganot, P., Deleury, E. et al. Comprehensive EST analysis of the symbiotic sea anemone, Anemonia viridis. BMC Genomics 10, 333 (2009). https://doi.org/10.1186/1471-2164-10-333

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/1471-2164-10-333

Keywords

BMC Genomics

ISSN: 1471-2164

Contact us