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dc.contributor.authorGarcia de la Serrana Castillo, Daniel
dc.contributor.authorEstevez, Alicia
dc.contributor.authorAndree, Karl
dc.contributor.authorJohnston, Ian Alistair
dc.date.accessioned2012-08-15T16:31:02Z
dc.date.available2012-08-15T16:31:02Z
dc.date.issued2012-05-11
dc.identifier.citationGarcia de la Serrana Castillo , D , Estevez , A , Andree , K & Johnston , I A 2012 , ' Fast skeletal muscle transcriptome of the Gilthead sea bream (Sparus aurata) determined by next generation sequencing ' , BMC Genomics , vol. 13 , 181 . https://doi.org/10.1186/1471-2164-13-181en
dc.identifier.issn1471-2164
dc.identifier.otherPURE: 26211295
dc.identifier.otherPURE UUID: 87e91aa4-1a18-4f88-b5e5-08a63b2d0791
dc.identifier.otherScopus: 84860790588
dc.identifier.otherORCID: /0000-0002-7796-5754/work/47136009
dc.identifier.urihttp://hdl.handle.net/10023/3046
dc.description.abstractBackground: The gilthead sea bream (Sparus aurata L.) occurs around the Mediterranean and along Eastern Atlantic coasts from Great Britain to Senegal. It is tolerant of a wide range of temperatures and salinities and is often found in brackish coastal lagoons and estuarine areas, particularly early in its life cycle. Gilthead sea bream are extensively cultivated in the Mediterranean with an annual production of 125,000 metric tonnes. Here we present a de novo assembly of the fast skeletal muscle transcriptome of gilthead sea bream using 454 reads and identify gene paralogues, splice variants and microsatellite repeats. An annotated transcriptome of the skeletal muscle will facilitate understanding of the genetic and molecular basis of traits linked to production in this economically important species. Results: Around 2.7 million reads of mRNA sequence data were generated from the fast myotomal of adult fish (~2 kg) and juvenile fish (~0.09 kg) that had been either fed to satiation, fasted for 3-5d or transferred to low (11°C) or high (33°C) temperatures for 3-5d. Newbler v2.5 assembly resulted in 43,461 isotigs >100 bp. The number of sequences annotated by searching protein and gene ontology databases was 10,465. The average coverage of the annotated isotigs was x40 containing 5655 unique gene IDs and 785 full-length cDNAs coding for proteins containing 58–1536 amino acids. The v2.5 assembly was found to be of good quality based on validation using 200 full-length cDNAs from GenBank. Annotated isotigs from the reference transcriptome were attributable to 344 KEGG pathway maps. We identified 26 gene paralogues (20 of them teleost-specific) and 43 splice variants, of which 12 had functional domains missing that were likely to affect their biological function. Many key transcription factors, signaling molecules and structural proteins necessary for myogenesis and muscle growth have been identified. Physiological status affected the number of reads that mapped to isotigs, reflecting changes in gene expression between treatments. Conclusions: We have produced a comprehensive fast skeletal muscle transcriptome for the gilthead sea bream, which will provide a resource for SNP discovery in genes with a large effect on production traits of commercial interest and for expression studies of growth and adaptation.
dc.format.extent17
dc.language.isoeng
dc.relation.ispartofBMC Genomicsen
dc.rights(c) 2012 Garcia de la serrana et al.; licensee 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.en
dc.subjectTeleosten
dc.subjectGene paraloguesen
dc.subjectSplice variantsen
dc.subjectNewbleren
dc.subjectRoche 454en
dc.subjectMyogenesisen
dc.subjectQH426 Geneticsen
dc.subject.lccQH426en
dc.titleFast skeletal muscle transcriptome of the Gilthead sea bream (Sparus aurata) determined by next generation sequencingen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews.School of Biologyen
dc.contributor.institutionUniversity of St Andrews.Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews.Centre for Research into Ecological & Environmental Modellingen
dc.contributor.institutionUniversity of St Andrews.Marine Alliance for Science & Technology Scotlanden
dc.identifier.doihttps://doi.org/10.1186/1471-2164-13-181
dc.description.statusPeer revieweden


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