- Research article
- Open Access
Transcriptome analysis of the central nervous system of the mollusc Lymnaea stagnalis
© Feng et al; licensee BioMed Central Ltd. 2009
- Received: 13 February 2009
- Accepted: 23 September 2009
- Published: 23 September 2009
The freshwater snail Lymnaea stagnalis (L. stagnalis) has served as a successful model for studies in the field of Neuroscience. However, a serious drawback in the molecular analysis of the nervous system of L. stagnalis has been the lack of large-scale genomic or neuronal transcriptome information, thereby limiting the use of this unique model.
In this study, we report 7,712 distinct EST sequences (median length: 847 nucleotides) of a normalized L. stagnalis central nervous system (CNS) cDNA library, resulting in the largest collection of L. stagnalis neuronal transcriptome data currently available. Approximately 42% of the cDNAs can be translated into more than 100 consecutive amino acids, indicating the high quality of the library. The annotated sequences contribute 12% of the predicted transcriptome size of 20,000. Surprisingly, approximately 37% of the L. stagnalis sequences only have a tBLASTx hit in the EST library of another snail species Aplysia californica (A. californica) even using a low stringency e-value cutoff at 0.01. Using the same cutoff, approximately 67% of the cDNAs have a BLAST hit in the NCBI non-redundant protein and nucleotide sequence databases (nr and nt), suggesting that one third of the sequences may be unique to L. stagnalis. Finally, using the same cutoff (0.01), more than half of the cDNA sequences (54%) do not have a hit in nematode, fruitfly or human genome data, suggesting that the L. stagnalis transcriptome is significantly different from these species as well. The cDNA sequences are enriched in the following gene ontology functional categories: protein binding, hydrolase, transferase, and catalytic enzymes.
This study provides novel molecular insights into the transcriptome of an important molluscan model organism. Our findings will contribute to functional analyses in neurobiology, and comparative evolutionary biology. The L. stagnalis CNS EST database is available at http://www.Lymnaea.org/.
- cDNA Sequence
- Gastropod Mollusk
- Mollusca Phylum
- Gene Ontology Functional Category
Mollusks have more than 100,000 extant species and comprise the second largest phylum after the Arthropods [35, 36], indicating the phylum has been highly adaptive to environmental changes since its origin in the Cambrian period . The gastropods are the largest group within the mollusca encompassing over 80% of the extant species . However, in contrast to their abundance and importance in neurobiology, large-scale genomic information relating to neuronal function is limited to one species, A. californica . There are two additional on-going genomic sequencing projects of mollusks: Lottia gigantea (L. gigantean; http://genome.jgi-psf.org/Lotgi1/Lotgi1.download.html) and Biomphalaria glabrata (B. glabrata; http://www.ncbi.nlm.nih.gov/sites/entrez?Db=genomeprj&cmd=ShowDetailView&TermToSearch=12878); however, the genomic sequence information from these two species is currently not yet available. As L. stagnalis and A. californica genera are believed to have diverged over 600 million years ago, the sequencing of the CNS transcriptome from L. stagnalis holds significant promise for functional, evolutionary, comparative and environmental studies of Mollusks and other species.
We have carried out transcriptome sequencing of a normalized cDNA library constructed from the L. stagnalis CNS. This study provided 10,375 EST sequences, which cluster to 7,712 unique sequences. Despite a substantial fraction of the cDNAs being homologous to A. californica sequences in the existing known sequence database, data analysis revealed that the majority of the L. stagnalis cDNAs are novel and have no known homologues. Therefore, our findings argue for the sequencing of the full transcriptome of this species. This study forms the basis for functional genomic research of L. stagnalis not only as a model system for various areas of neuroscience research but also for general evolutionary and comparative genomics.
Overall statistics of the L. stagnalis cDNA library
Post-processing and sequence assembly
To estimate the level of sequence redundancy and overlap within our library, we first ran a BLAST search against the raw sequence library itself, and noticed that a large number of sequences overlap, most likely as the result of bi-directional sequencing. We then assembled the cDNA sequences by using the CAP3 software , which identified 6,139 singlet sequences, and 1,573 clusters (default parameters were used as suggested by the authors of CAP3), yielding 7,712 sequences with unique cDNA sequences. The median length of these assembled cDNAs is 847 nucleotides (with mean of 862 nt), the shortest being 20 nucleotides, and longest being 3,227 nucleotides. Figure 2A compares the distribution of the sequence length before and after the sequence assembly. We next translated the 7,712 assembled cDNA sequences into six possible open reading frames (ORFs), and selected the largest ORF for each sequence. Figure 2B shows that 3,248 cDNA sequences contain ORFs that are longer than 100 amino acids, which is a strong indication that these cDNAs cover protein coding regions.
Comparison with previously published L. stagnalis EST sequences
Previously, Davison and Blaxter  sequenced a small set of ESTs from unnormalized libraries of L. stagnalis CNS and the EST set contained 1,320 sequences with an average length of 665 nt. Using these data as query we searched for homology hits in our cDNA library. Using a stringent cutoff requiring sequence identity of at least 90% and a minimum alignment length of 30 nucleotides, 509 (38.6%) sequences in our library have a hit in the previous library, and 711 (54%) of the sequences in the earlier library have a hit in ours. These differences may be accounted for 1) by the sizes of the libraries used, and 2) the previous ESTs may include redundant sequences.
Comparison with NCBI non-redundant protein and nucleotide sequence libraries
We next ran BLASTx searches (using translated nucleotides as a query to search against protein sequence library) and mapped the L. stagnalis cDNA sequences to the NCBI (http://www.ncbi.nlm.nih.gov/; up to May, 2009) non-redundant protein library (nr), which is commonly used as the principle target database to search for protein homologies. This database was constructed by pooling the sequences from the following databases, followed by clustering and removing redundant entries: translated protein coding region of all the sequence entries in the GenBank, RefSeq database (high quality proteins from human and mouse), PDB (protein structure database), SwissProt, PIR (Protein Information Source), PRF (Protein Research Foundation).
In addition, we carried out BLAST searches against the NCBI non-redundant nucleotide sequence data base (nt), which stores all the nucleotide sequences submitted to GenBank to account for the possibility that some of the shorter cDNA sequences were derived from 3' or 5' untranslated regions (UTR) of mRNA transcripts instead of mapping to the protein coding region. This also covers cDNAs that are derived from non-coding RNA transcripts such as rRNA.
Using an e-value cutoff of 1e-6, only 34% (2,606) of the L. stagnalis cDNAs had a statistically significant hit to a protein in the non-redundant database (Figure 3A). Even at an e-value cutoff of 0.001, 52% (3,930) of L. stagnalis cDNA sequences longer than 100 bases (Figure 3A) and 50% (3,630) of cDNA sequences longer than 500 bases (Figure 3B) have no significant BLAST matches in the non-redundant protein and nucleotide databases. This is likely caused by the relatively low coverage of DNA or genomic sequences from the Mollusca phylum in the current sequence databases, including the A. californica and B. glabrata EST databases.
Phylogenetic distribution of the top hits in the NCBI nr library
Number of cDNAs
(e-value < 1e-10)
Arthropoda (e.g. insects and Crustaceans)
Lophotrochozoan, including Mollusca, Annelida (segmented worms)
Cnidaria (e.g. Hydra and jelly fish)
Nematoda (including C. elegans)
Comparison with A. californica sequences
Blast hits of L. stagnalis cDNA sequences in the published A. californica EST library
Number of L. stagnalis ESTs having a blast hit in A. californica
Number of A. californica ESTs having a blast hit in L. stagnalis
Blast hits in the A. californica trace library using the L. stagnalis cDNA as query
Number of hits
Comparison with Biomphalaria glabrata sequences
Blast hits in the B. glabrata EST library using the L. stagnalis cDNA as query
Number of L. stagnalis ESTs having a blast hit in B. glabrata library
Number of B. glabrata ESTs having a blast hit in L. stagnalis
Comparison with other model organisms
Gene Ontology Mapping
GO category distribution of the Lymnaea cDNAs
structural molecule activity
enzyme regulator activity
transcription regulator activity
ion transmembrane transporter activity
signal transducer activity
translation regulator activity
Alignment of known presynaptic genes
In summary, we reported in this study the CNS expressed cDNA sequences of 5376 randomly selected clones from a normalized CNS cDNA library, thus providing what is currently the largest database of L. stagnalis cDNA sequences. Because molluscan species have not been frequently used in the sequencing projects, this is currently the second largest CNS transcriptome study in the entire Mollusca phylum. Although the transcriptome information is far from complete, we found only ~25% BLAST hits of L. stagnalis cDNA sequences in A. californica sequences, which suggests substantial genetic differences between these two gastropod mollusks. This argues for further large scale sequencing of L. stagnalis that will shed light on the extent of diversification of the genome in both molluscan species.
Normalized cDNA library
In this study we used a normalized cDNA library to reduce the high variation among the abundant clones, thus increasing the probability of sequencing rare transcripts . We found that over 90% of the sequences are between 700 and 1000 bp long, indicating the overall good quality of the sequencing processes. We have sequenced 5376 clones and obtained 10,375 EST sequences which cluster to 7,712 unique sequences. The comparison between our library and the previous published Lymnaea EST sequences generated from a non-normalized library  showed that 509 (38.6%) sequences in our library have a hit in the previous library, and 711 (54%) of the sequences in the earlier library have a hit in ours. The higher percentage of hits using the previous library to search the present ESTs is likely due to that 1) the previous sequencing of an unnormalized EST library includes a large proportion of redundant sequences; and 2) this study sequenced ESTs from normalized libraries which reduces the probability of redundant sequences, and thus yielded a higher coverage. In addition, the previous library comprised sequences from the 5' end of transcripts, whereas the present EST database includes a mix of 5' and 3' sequences. It thus is also possible that a proportion of sequences of the previous ESTs generate more than one hit in our database.
Novel transcripts in L. stagnalis
It is intriguing that a large proportion of the L. stagnalis cDNAs contain novel sequences that apparently have no significant match in any of the existing databases. In fact, as shown in Figure 3B, even after restricting analyses to sequences that are longer than 500 nucleotides and a less restrictive BLAST e-value cutoff of 1e-6, approximately half of the cDNAs (3,630) have no homologous sequences in the existing databases. Many of these novel transcripts can also be translated into long sequences of amino acids. For example one cDNA (Contig 596; Supplementary Material, http://www.Lymnaea.org/) has 3216 nucleotides containing 505 consecutively translated amino acids. Interestingly, the closest sequence homolog for this sequence is a RNA polymerase in potato (gi|68124015|emb|CAJ01915.1| DNA-directed RNA polymerase [Solanum tuberosum]). Nevertheless, the large collection of gene sequences identified in this study include structural proteins, heat shock proteins, transcription factors, ion channels, receptors, and protein kinases.
Alignment and phylogenetic trees
We have aligned a number of presynaptic protein sequences from L. stagnalis to those of other model organisms. The L. stagnalis presynaptic protein sequences tested here are highly homologous to other species, consistent with the notion that both invertebrates and vertebrates share similar molecular mechanisms of synaptic transmission (see ). Interestingly, we identified a syntaxin 7 sequence in the L. stagnalis CNS transcriptome. Syntaxin 7 is one of the endosomal SNARE (soluble N-ethylmaleimide-sensitive factor attachment protein receptors) proteins that may be involved in a conserved late endosomal fusion pathway [42, 43]. Notably, this protein has so far not been reported in A. californica.
Our results demonstrate that the L. stagnalis CNS transcriptome data complement the transcriptome sequencing project of A. californica . Based on the A. californica CNS sequence data, we expect a total of ~20,000 neuronal gene products in the L. stagnalis CNS. We currently obtained 2,406 transcripts corresponding to known biological processes. These annotated transcripts contribute 12% of the predicted transcriptome size. The hits of L. stagnalis sequences to the A. californica transcriptome are ~29% (e-value: 1E-6; tblastx), and an additional 9% were found to match A. californica sequences with an e-value cutoff at 0.01. Amongst 7712 L. stagnalis sequences tested, over 97% (7484 out of 7712 sequences) of them have lengths greater than 300 nucleotides, and over 42% (3248 out of 7712) sequences contain ORFs that are longer than 100 amino acids. Assuming that the A. californica EST set has a good coverage , it is a somewhat low match which indicates the possibility that the CNS transcriptome sequences of the two species are considerably different. Although both species are classified as heterobranches  within the gastropods, the two branches diverged over 600 million years ago. Thus it is not surprising to see these apparently large transcriptome sequence variations between these two species. However, our sequencing effort comprises only a fraction of the neuronal transcriptome and a larger scale sequencing project is required in order to make a full comparison between these two species.
This study currently provides the largest database of L. stagnalis CNS EST sequences, and demonstrates the substantial genetic differences between two gastropod mollusks, L. stagnalis and A. californica. This study establishes a firm basis for functional genomic research in this species, for comparative and environmental genomics, and for identification of novel proteins important for neuronal functions, thus directly supporting and advancing ongoing functional work in this and related model systems.
L. stagnalis were obtained from a culture at the VU University, Amsterdam, and were raised and maintained in aquaria at the University of Calgary, as previously described [13, 45]. Animals were kept in water at 20°C under a 12 hr light/dark cycle, and fed green leaf lettuce twice a week. Two-month old snails having shell lengths of 15 to 20 mm were used in this study. Specifically, the snails were anesthetized with 10% (v/v) Listerine for 10 min. The central ring ganglia and attached buccal ganglia were dissected out and prepared for total RNA extraction. Three central ring ganglia were used for total RNA extraction.
cDNA synthesis and cDNA library normalization
cDNA synthesis and normalization were carried out by Bio S&T Inc. (Montreal, QC, Canada). Specifically, total RNA was extracted from snail ganglia using the modified Trizol method (Invitrogen, USA). Purification of mRNA was carried out using Oligotex mRNA kit (Qiagen, USA), and cDNA synthesis using the SMART™ cDNA library construction kit (Clontech, USA). The clones contain SfiI-A and SfiI-B restriction sites, which allowed directional cloning. Full-length cDNA was synthesized with two set of primers for driver and tester cDNA. Single-stranded cDNA was used for hybridization instead of double-stranded cDNA . Excess amount of sense-stranded cDNA was hybridized with antisense-stranded cDNA. After hybridization, duplex structures were removed by hydroxyapatite chromatography. Normalized tester cDNA was re-amplified with the tester specific primer L4N without amplification of the driver cDNA that cannot be amplified using the L4N primer.
cDNA normalization efficiency was strictly monitored by Bio S & T Inc. (Montreal, QC, Canada). Specifically a parallel normalization of an internal control was performed in addition to the normalization of the cDNA population. In the parallel normalization, a modified reporter gene (chloramphenicol resistance gene with same adaptor-primer sequences) was added to the cDNA population before normalization at a desired redundancy rate (e.g. 1.0%) as a control. cDNA was cloned using a modified pBluescript SK-vector (MBI-Fermentas, Canada). Because pBluescript is ampicillin resistant, the percentage of this control gene is determined before and after normalization. The frequency of chloramphenicol resistant clones was determined and used to estimate the reduction during normalization. In this study, reduction was 40×.
Following normalization, ss-cDNA were amplified by PCR and purified. Re-amplified cDNAs were then subjected to SfiI digestion and size fractionation in a 1% agarose gel. cDNA fragments larger than 0.5 Kb were purified for cloning. The cloning vector was a modified pBluescriptII SK-with SfiI A&B inserts between EcoRI and XhoI. The ligated cDNAs were then transformed into DH10B (Invitrogen, USA). The clones were arrayed in a one clone/well format and amplified by overnight culture. The average insert size was 1.5 kb based on a test sample of 20 random clones. cDNA clones were prepared as glycerol stock in 384-well plates for sequencing.
Double-end cDNA sequencing was carried out by the Genome Sciences Centre at the British Columbia Cancer Agency (Vancouver, BC, Canada) using the Sanger sequencing method. For sequencing of 5'-ends, T3 (or M13F) primer was used; for sequencing of 3'-ends, T7 (or M13R) primer was used. The sequences listed are all in the forward strand, 5' to 3'.
Sequence analysis and bioinformatics
The raw cDNA sequences were subjected to 5'-trimming to eliminate the vector and 3'-trimming to eliminate low quality portions. The sequences were then clustered and assembled into 7712 sequences using the program CAP3 . We used the BLAST program  to search for homology sequences in the following sequence databases: NCBI non-redundant protein (nr) and nucleotide (nt) databases, Swissprot protein database, and EST databases including the previously published EST library of A. californica . We wrote PERL scripts to conduct the subsequent bioinformatic analyses (available upon request).
We thank Dr. Mike Fainzilber from the Weizmann Institute of Science for his support, and comments to this study. We thank Mr. Wali Zaidi from the University of Calgary for technical assistance with ganglia isolation. We acknowledge funding support from the Weizmann Institute of Science to MF; the NSERC (Canada) Discovery grants to GES, JIG, LTB, RPC (#38863-07), WW (238920), and ZFP (249962-07); the BBSRC (UK) to VAS; SPARC award to MSY; CIHR (Canada) operating grants to JC, NIS, WW (IAP-84665), and ZFP (MOP-151437); IBIVU to PvN.
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