title: Deep mRNA sequencing of the Tritonia diomedea brain transcriptome provides access to gene homologues for neuronal excitability, synaptic transmission and peptidergic signalling.
abstract: BACKGROUND
  The sea slug Tritonia diomedea (Mollusca, Gastropoda, Nudibranchia), has a simple and highly accessible nervous system, making it useful for studying neuronal and synaptic mechanisms underlying behavior. Although many important contributions have been made using Tritonia, until now, a lack of genetic information has impeded exploration at the molecular level.
  
  
  RESULTS
  We performed Illumina sequencing of central nervous system mRNAs from Tritonia, generating 133.1 million 100 base pair, paired-end reads. De novo reconstruction of the RNA-Seq data yielded a total of 185,546 contigs, which partitioned into 123,154 non-redundant gene clusters (unigenes). BLAST comparison with RefSeq and Swiss-Prot protein databases, as well as mRNA data from other invertebrates (gastropod molluscs: Aplysia californica, Lymnaea stagnalis and Biomphalaria glabrata; cnidarian: Nematostella vectensis) revealed that up to 76,292 unigenes in the Tritonia transcriptome have putative homologues in other databases, 18,246 of which are below a more stringent E-value cut-off of 1x10-6. In silico prediction of secreted proteins from the Tritonia transcriptome shotgun assembly (TSA) produced a database of 579 unique sequences of secreted proteins, which also exhibited markedly higher expression levels compared to other genes in the TSA.
  
  
  CONCLUSIONS
  Our efforts greatly expand the availability of gene sequences available for Tritonia diomedea. We were able to extract full length protein sequences for most queried genes, including those involved in electrical excitability, synaptic vesicle release and neurotransmission, thus confirming that the transcriptome will serve as a useful tool for probing the molecular correlates of behavior in this species. We also generated a neurosecretome database that will serve as a useful tool for probing peptidergic signalling systems in the Tritonia brain.
authors.affiliation: Neuroscience Institute, Georgia State University, Atlanta, Georgia, United States of America.
authors.forename: Adriano
authors.initials: A
authors.lastname: Senatore
authors.affiliation: IS&T, Georgia State University, Atlanta, Georgia, United States of America.
authors.forename: Neranjan
authors.initials: N
authors.lastname: Edirisinghe
authors.affiliation: Neuroscience Institute, Georgia State University, Atlanta, Georgia, United States of America.
authors.forename: Paul S
authors.initials: PS
authors.lastname: Katz
mesh_terms: D000595:Amino Acid Sequence; D000818:Animals; D001921:Brain / Q000378:metabolism*; D049851:Gastropoda / Q000145:classification / Q000235:genetics*; D059014:High-Throughput Nucleotide Sequencing; D007473:Ion Channels / Q000235:genetics; D008969:Molecular Sequence Data; D005810:Multigene Family; D009479:Neuropeptides / Q000235:genetics*; D010802:Phylogeny; D012333:RNA, Messenger / Q000737:chemistry / Q000235:genetics; D017386:Sequence Homology, Amino Acid; D059467:Transcriptome
chemical_list: D007473:Ion Channels; D009479:Neuropeptides; D012333:RNA, Messenger