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dc.contributor.authorMartínez-Montes, Ángel M.
dc.contributor.authorFernández, Almudena
dc.contributor.authorMuñoz, María
dc.contributor.authorNoguera, Jose Luis
dc.contributor.authorFolch, Josep M.
dc.contributor.authorFernández, Ana I.
dc.contributor.otherProducció Animalca
dc.date.accessioned2019-03-04T14:14:57Z
dc.date.available2019-03-04T14:14:57Z
dc.date.issued2018-03-09
dc.identifier.citationMartínez-Montes, Ángel M., Almudena Fernández, María Muñoz, Jose Luis Noguera, Josep M. Folch, and Ana I. Fernández. 2018. "Using Genome Wide Association Studies To Identify Common QTL Regions In Three Different Genetic Backgrounds Based On Iberian Pig Breed". PLOS ONE 13 (3): e0190184. Public Library of Science (PLoS). doi:10.1371/journal.pone.0190184.ca
dc.identifier.issn1932-6203ca
dc.identifier.urihttp://hdl.handle.net/20.500.12327/215
dc.description.abstractOne of the major limitation for the application of QTL results in pig breeding and QTN identification has been the limited number of QTL effects validated in different animal material. The aim of the current work was to validate QTL regions through joint and specific genome wide association and haplotype analyses for growth, fatness and premier cut weights in three different genetic backgrounds, backcrosses based on Iberian pigs, which has a major role in the analysis due to its high productive relevance. The results revealed nine common QTL regions, three segregating in all three backcrosses on SSC1, 0–3 Mb, for body weight, on SSC2, 3–9 Mb, for loin bone-in weight, and on SSC7, 3 Mb, for shoulder weight, and six segregating in two of the three backcrosses, on SSC2, SSC4, SSC6 and SSC10 for backfat thickness, shoulder and ham weights. Besides, 18 QTL regions were specifically identified in one of the three backcrosses, five identified only in BC_LD, seven in BC_DU and six in BC_PI. Beyond identifying and validating QTL, candidate genes and gene variants within the most interesting regions have been explored using functional annotation, gene expression data and SNP identification from RNASeq data. The results allowed us to propose a promising list of candidate mutations, those identified in PDE10A, DHCR7, MFN2 and CCNY genes located within the common QTL regions and those identified near ssc-mir-103-1 considered PANK3 regulators to be further analysed.ca
dc.format.extent21ca
dc.language.isoengca
dc.publisherPLoS ONEca
dc.relation.ispartofPublic Library of Scienceca
dc.rightsAttribution 4.0 Internationalca
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.titleUsing genome wide association studies to identify common QTL regions in three different genetic backgrounds based on Iberian pig breedca
dc.typeinfo:eu-repo/semantics/articleca
dc.description.versioninfo:eu-repo/semantics/publishedVersionca
dc.rights.accessLevelinfo:eu-repo/semantics/openAccess
dc.embargo.termscapca
dc.relation.projectIDMINECO/Programa Estatal de I+D+I orientada a los retos de la sociedad/AGL2014-56369-C2-2-R/ES/VALIDACION GENETICA Y FUNCIONAL DE QTLS, GENES Y REDES GENICAS Y ESTUDIO DEL EFECTO DEL MICROBIOMA EN EL CRECIMIENTO, DEPOSICION DE GRASA Y CALIDAD DE LA CARNE EN PORCINO S2/ca
dc.subject.udc636ca
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0190184ca
dc.contributor.groupGenètica i Millora Animalca


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