000056167 001__ 56167
000056167 005__ 20200221144251.0
000056167 0247_ $$2doi$$a10.1038/srep27296
000056167 0248_ $$2sideral$$a95303
000056167 037__ $$aART-2016-95303
000056167 041__ $$aeng
000056167 100__ $$aManunza, A.
000056167 245__ $$aPopulation structure of eleven Spanish ovine breeds and detection of selective sweeps with BayeScan and hapFLK
000056167 260__ $$c2016
000056167 5060_ $$aAccess copy available to the general public$$fUnrestricted
000056167 5203_ $$aThe 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 Segurenã) 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 selection.
000056167 536__ $$9info:eu-repo/grantAgreement/ES/MINECO/INITA/RZ2011-00015-C03-01$$9info:eu-repo/grantAgreement/ES/MINECO/SEV-2015-0533
000056167 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000056167 590__ $$a4.259$$b2016
000056167 591__ $$aMULTIDISCIPLINARY SCIENCES$$b10 / 63 = 0.159$$c2016$$dQ1$$eT1
000056167 592__ $$a1.691$$b2016
000056167 593__ $$aMultidisciplinary$$c2016$$dQ1
000056167 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000056167 700__ $$aCardoso, T.F.
000056167 700__ $$aNoce, A.
000056167 700__ $$aMartínez, A.
000056167 700__ $$aPons, A.
000056167 700__ $$aBermejo, L.A.
000056167 700__ $$aLandi, V.
000056167 700__ $$aSànchez, A.
000056167 700__ $$aJordana, J.
000056167 700__ $$aDelgado, J.V.
000056167 700__ $$aAdán, S.
000056167 700__ $$aCapote, J.
000056167 700__ $$aVidal, O.
000056167 700__ $$aUgarte, E.
000056167 700__ $$aArranz, J.J.
000056167 700__ $$0(orcid)0000-0001-9513-0219$$aCalvo, J.H.
000056167 700__ $$aCasellas, J.
000056167 700__ $$aAmills, M.
000056167 773__ $$g6 (2016), 27296 [10 pp]$$pSci. rep.$$tSCIENTIFIC REPORTS$$x2045-2322
000056167 8564_ $$s881061$$uhttps://zaguan.unizar.es/record/56167/files/texto_completo.pdf$$yVersión publicada
000056167 8564_ $$s111083$$uhttps://zaguan.unizar.es/record/56167/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000056167 909CO $$ooai:zaguan.unizar.es:56167$$particulos$$pdriver
000056167 951__ $$a2020-02-21-13:28:01
000056167 980__ $$aARTICLE