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hal.structure.identifierBiodiversité, Gènes & Communautés [BioGeCo]
dc.contributor.authorALUOME, Christelle
hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorAUBERT, Gregoire
hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorALVES CARVALHO, Susete
hal.structure.identifierEtude du Polymorphisme des Génomes Végétaux [EPGV]
dc.contributor.authorLE PASLIER, Marie-Christine
hal.structure.identifierAgroécologie [Dijon]
dc.contributor.authorBURSTIN, Judith
hal.structure.identifierEtude du Polymorphisme des Génomes Végétaux [EPGV]
dc.contributor.authorBRUNEL, Dominique
dc.date.issued2016
dc.identifier.issn1756-0500
dc.description.abstractEnThe continuing increase in size and quality of the “short reads” raw data is a significant help for the quality of the assembly obtained through various bioinformatics tools. However, building a reference genome sequence for most plant species remains a significant challenge due to the large number of repeated sequences which are problematic for a whole-genome quality de novo assembly. Furthermore, for most SNP identification approaches in plant genetics and breeding, only the “Gene-space” regions including the promoter, exon and intron sequences are considered. Results: We developed the iPea protocol to produce a de novo Gene-space assembly by reconstructing, in an iterative way, the non-coding sequence flanking the Unigene cDNA sequence through addition of next-generation DNA-seq data. The approach was elaborated with the large diploid genome of pea (<em>Pisum sativum</em> L.), rich in repetitive sequences. The final Gene-space assembly included 35,400 contigs (97 Mb), covering 88 % of the 40,227 contigs (53.1 Mb) of the PsCam_low-copy Unigen set. Its accuracy was validated by the results of the built GenoPea 13.2 K SNP Array. Conclusion: The iPEA protocol allows the reconstruction of a Gene-space based from RNA-Seq and DNA-seq data with limited computing resources.
dc.language.isoen
dc.publisherBioMed Central
dc.subject.engene-space
dc.subject.enunigene
dc.subject.ennext-generation sequencing NGS
dc.subject.enassembly
dc.subject.enlterative process
dc.subject.enlimited computing resources
dc.title.enDe novo construction of a “Gene-space” for diploid plant genome rich in repetitive sequences by an iterative Process of Extraction and Assembly of NGS reads (iPEA protocol) with limited computing resources
dc.typeArticle de revue
dc.identifier.doi10.1186/s13104-016-1903-z
dc.subject.halSciences du Vivant [q-bio]
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
dc.subject.halSciences de l'environnement
bordeaux.journalBMC Research Notes
bordeaux.page1-9
bordeaux.volume9
bordeaux.issue1
bordeaux.peerReviewedoui
hal.identifierhal-02636294
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02636294v1
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=BMC%20Research%20Notes&amp;rft.date=2016&amp;rft.volume=9&amp;rft.issue=1&amp;rft.spage=1-9&amp;rft.epage=1-9&amp;rft.eissn=1756-0500&amp;rft.issn=1756-0500&amp;rft.au=ALUOME,%20Christelle&amp;AUBERT,%20Gregoire&amp;ALVES%20CARVALHO,%20Susete&amp;LE%20PASLIER,%20Marie-Christine&amp;BURSTIN,%20Judith&amp;rft.genre=article


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