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Diversity Arrays Technology (DArT) Marker Platforms for Diversity Analysis and Linkage Mapping in a Complex Crop, the Octoploid Cultivated Strawberry (Fragaria × ananassa).

hal.structure.identifierInstituto Andaluz de Investigación y Formación Agraria y Pesquera [IFAPA]
dc.contributor.authorSÁNCHEZ-SEVILLA, José F
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorHORVATH, Aniko
hal.structure.identifierConsejo Superior de Investigaciones Cientificas [España] = Spanish National Research Council [Spain] [CSIC]
dc.contributor.authorBOTELLA, Miguel A
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorGASTON, Amélia
hal.structure.identifierUniversity of Florida [Gainesville] [UF]
dc.contributor.authorFOLTA, Kevin
hal.structure.identifierDiversity Arrays Technology Pty Ltd [DArT P/L]
dc.contributor.authorKILIAN, Andrzej
hal.structure.identifierBiologie du fruit et pathologie [BFP]
dc.contributor.authorDENOYES, Beatrice
hal.structure.identifierInstituto Andaluz de Investigación y Formación Agraria y Pesquera [IFAPA]
hal.structure.identifierUniversity of Florida [Gainesville] [UF]
dc.contributor.authorAMAYA, Iraida
dc.date.issued2015
dc.identifier.issn1932-6203
dc.description.abstractEnCultivated strawberry (Fragaria × ananassa) is a genetically complex allo-octoploid crop with 28 pairs of chromosomes (2n = 8x = 56) for which a genome sequence is not yet available. The diploid Fragaria vesca is considered the donor species of one of the octoploid sub-genomes and its available genome sequence can be used as a reference for genomic studies. A wide number of strawberry cultivars are stored in ex situ germplasm collections world-wide but a number of previous studies have addressed the genetic diversity present within a limited number of these collections. Here, we report the development and application of two platforms based on the implementation of Diversity Array Technology (DArT) markers for high-throughput genotyping in strawberry. The first DArT microarray was used to evaluate the genetic diversity of 62 strawberry cultivars that represent a wide range of variation based on phenotype, geographical and temporal origin and pedigrees. A total of 603 DArT markers were used to evaluate the diversity and structure of the population and their cluster analyses revealed that these markers were highly efficient in classifying the accessions in groups based on historical, geographical and pedigree-based cues. The second DArTseq platform took benefit of the complexity reduction method optimized for strawberry and the development of next generation sequencing technologies. The strawberry DArTseq was used to generate a total of 9,386 SNP markers in the previously developed '232' × '1392' mapping population, of which, 4,242 high quality markers were further selected to saturate this map after several filtering steps. The high-throughput platforms here developed for genotyping strawberry will facilitate genome-wide characterizations of large accessions sets and complement other available options.
dc.language.isoen
dc.publisherPublic Library of Science
dc.rights.urihttp://creativecommons.org/licenses/by/
dc.title.enDiversity Arrays Technology (DArT) Marker Platforms for Diversity Analysis and Linkage Mapping in a Complex Crop, the Octoploid Cultivated Strawberry (Fragaria × ananassa).
dc.typeArticle de revue
dc.identifier.doi10.1371/journal.pone.0144960
dc.subject.halSciences du Vivant [q-bio]/Biologie végétale
bordeaux.journalPLoS ONE
bordeaux.pagee0144960
bordeaux.volume10
bordeaux.issue12
bordeaux.peerReviewedoui
hal.identifierhal-02636885
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-02636885v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=PLoS%20ONE&rft.date=2015&rft.volume=10&rft.issue=12&rft.spage=e0144960&rft.epage=e0144960&rft.eissn=1932-6203&rft.issn=1932-6203&rft.au=S%C3%81NCHEZ-SEVILLA,%20Jos%C3%A9%20F&HORVATH,%20Aniko&BOTELLA,%20Miguel%20A&GASTON,%20Am%C3%A9lia&FOLTA,%20Kevin&rft.genre=article


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