Evidence map›Paper›PMID 25366320›Full record

ArticleBMC genomics2014

De novo assembly, characterization and functional annotation of Senegalese sole (Solea senegalensis) and common sole (Solea solea) transcriptomes: integration in a database and design of a microarray.

Hicham Benzekri, Paula Armesto, Xavier Cousin, Mireia Rovira, Diego Crespo, Manuel Alejandro Merlo, David Mazurais, Rocío Bautista, Darío Guerrero-Fernández, Noe Fernandez-Pozo and 10 more

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Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

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24citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

24 citing papers in PubMed.

  1. Article
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  15. Open life sciences · 2019
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4 · The record

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5 · Who and what money

Authors and funding

20 authors.

Hicham Benzekri
Paula Armesto
Xavier Cousin
Mireia Rovira
Diego Crespo
Manuel Alejandro Merlo
David Mazurais
Rocío Bautista
Darío Guerrero-Fernández
Noe Fernandez-Pozo
Marian Ponce
Carlos Infante
Jose Luis Zambonino
Sabine Nidelet
Marta Gut
Laureana Rebordinos
Josep V Planas
Marie-Laure Bégout
M Gonzalo Claros
Manuel ManchadoIFAPA Centro El Toruño, IFAPA, Consejeria de Agricultura y Pesca, 11500 El Puerto de Santa María, Cádiz, Spain. manuel.manchado@juntadeandalucia.es.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSenegalese sole (Solea senegalensis) and common sole (S. solea) are two economically and evolutionary important flatfish species both in fisheries and aquaculture. Although some genomic resources and tools were recently described in these species, further sequencing efforts are required to establish a complete transcriptome, and to identify new molecular markers. Moreover, the comparative analysis of transcriptomes will be useful to understand flatfish evolution.

resultsA comprehensive characterization of the transcriptome for each species was carried out using a large set of Illumina data (more than 1,800 millions reads for each sole species) and 454 reads (more than 5 millions reads only in S. senegalensis), providing coverages ranging from 1,384x to 2,543x. After a de novo assembly, 45,063 and 38,402 different transcripts were obtained, comprising 18,738 and 22,683 full-length cDNAs in S. senegalensis and S. solea, respectively. A reference transcriptome with the longest unique transcripts and putative non-redundant new transcripts was established for each species. A subset of 11,953 reference transcripts was qualified as highly reliable orthologs (>97% identity) between both species. A small subset of putative species-specific, lineage-specific and flatfish-specific transcripts were also identified. Furthermore, transcriptome data permitted the identification of single nucleotide polymorphisms and simple-sequence repeats confirmed by FISH to be used in further genetic and expression studies. Moreover, evidences on the retention of crystallins crybb1, crybb1-like and crybb3 in the two species of soles are also presented. Transcriptome information was applied to the design of a microarray tool in S. senegalensis that was successfully tested and validated by qPCR. Finally, transcriptomic data were hosted and structured at SoleaDB.

conclusionsTranscriptomes and molecular markers identified in this study represent a valuable source for future genomic studies in these economically important species. Orthology analysis provided new clues regarding sole genome evolution indicating a divergent evolution of crystallins in flatfish. The design of a microarray and establishment of a reference transcriptome will be useful for large-scale gene expression studies. Moreover, the integration of transcriptomic data in the SoleaDB will facilitate the management of genomic information in these important species.

Indexed as

Molecular Sequence AnnotationTranscriptomeAnimalsComputational BiologyCrystallinsDatabases, GeneticFlatfishesGene Expression ProfilingHigh-Throughput Nucleotide SequencingOligonucleotide Array Sequence AnalysisPhylogenyReproducibility of ResultsUser-Computer InterfaceCrystallins

Identifiers

PMID25366320
PMCPMC4232633

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.