Population structure of eleven Spanish ovine breeds and detection of selective sweeps with BayeScan and hapFLK
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Author
Manunza, A.
Cardoso, T.F.
Noce, A.
Martínez-Moreno, Álvaro
Pons, A.
Bermejo, L.A.
Landi, Vincenzo
Sànchez, A.
Jordana, J.
Delgado-Bermejo, J.V.
Adán, S.
Capote, J.F.
Vidal, O.
Ugarte, E.
Arranz, J.J.
Calvo, J.H.
Casellas, J.
Amills, M.
Publisher
Nature.comDate
2016Subject
Spanish ovine breedPopulation structure
Genomic regions
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Show full item recordAbstract
The 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 selection