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dc.contributor.authorManunza, A.
dc.contributor.authorCardoso, T.F.
dc.contributor.authorNoce, A.
dc.contributor.authorMartínez-Moreno, Álvaro
dc.contributor.authorPons, A.
dc.contributor.authorBermejo, L.A.
dc.contributor.authorLandi, Vincenzo
dc.contributor.authorSànchez, A.
dc.contributor.authorJordana, J.
dc.contributor.authorDelgado-Bermejo, J.V.
dc.contributor.authorAdán, S.
dc.contributor.authorCapote, J.F.
dc.contributor.authorVidal, O.
dc.contributor.authorUgarte, E.
dc.contributor.authorArranz, J.J.
dc.contributor.authorCalvo, J.H.
dc.contributor.authorCasellas, J.
dc.contributor.authorAmills, M.
dc.date.accessioned2018-10-16T11:50:48Z
dc.date.available2018-10-16T11:50:48Z
dc.date.issued2016
dc.identifier.urihttp://hdl.handle.net/10396/17295
dc.description.abstractThe goals of the current work were to analyse the population structure of 11 Spanish ovine breeds and to detect genomic regions that may have been targeted by selection. A total of 141 individuals were genotyped with the Infinium 50 K Ovine SNP BeadChip (Illumina). We combined this dataset with Spanish ovine data previously reported by the International Sheep Genomics Consortium (N = 229). Multidimensional scaling and Admixture analyses revealed that Canaria de Pelo and, to a lesser extent, Roja Mallorquina, Latxa and Churra are clearly differentiated populations, while the remaining seven breeds (Ojalada, Castellana, Gallega, Xisqueta, Ripollesa, Rasa Aragonesa and Segureña) share a similar genetic background. Performance of a genome scan with BayeScan and hapFLK allowed us identifying three genomic regions that are consistently detected with both methods i.e. Oar3 (150–154 Mb), Oar6 (4–49 Mb) and Oar13 (68–74 Mb). Neighbor-joining trees based on polymorphisms mapping to these three selective sweeps did not show a clustering of breeds according to their predominant productive specialization (except the local tree based on Oar13 SNPs). Such cryptic signatures of selection have been also found in the bovine genome, posing a considerable challenge to understand the biological consequences of artificial selectiones_ES
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoenges_ES
dc.publisherNature.comes_ES
dc.rightshttps://creativecommons.org/licenses/by-nc-nd/4.0/es_ES
dc.sourceScientific Reports 6:27296 (2016)es_ES
dc.subjectSpanish ovine breedes_ES
dc.subjectPopulation structurees_ES
dc.subjectGenomic regionses_ES
dc.titlePopulation structure of eleven Spanish ovine breeds and detection of selective sweeps with BayeScan and hapFLKes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1038/srep27296es_ES
dc.relation.projectIDGobierno de España. RZ2011-00015-C03-01es_ES
dc.relation.projectIDGobierno de España. SEV-2015-0533es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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