Literature DB >> 31365135

Runs of homozygosity and signatures of selection: a comparison among eight local Swiss sheep breeds.

H Signer-Hasler1, A Burren1, P Ammann2, C Drögemüller3, C Flury1.   

Abstract

A dataset consisting of 787 animals with high-density SNP chip genotypes (346 774 SNPs) and 939 animals with medium-density SNP chip genotypes (33 828 SNPs) from eight indigenous Swiss sheep breeds was analyzed to characterize population structure, quantify genomic inbreeding based on runs of homozygosity and identify selection signatures. In concordance with the recent known history of these breeds, the highest genetic diversity was observed in Engadine Red sheep and the lowest in Valais Blacknose sheep. Correlation between FPED and FROH was around 0.50 and thereby lower than that found in similar studies in cattle. Mean FROH estimates from medium-density data and HD data were highly correlated (0.95). Signatures of selection and candidate gene analysis revealed that the most prominent signatures of selection were found in the proximity of genes associated with body size (NCAPG, LCORL, LAP3, SPP1, PLAG1, ALOX12, TP53), litter size (SPP1), milk production (ABCG2, SPP1), coat color (KIT, ASIP, TBX3) and horn status (RXFP2). For the Valais Blacknose sheep, the private signatures in proximity of genes/QTL influencing body size, coat color and fatty acid composition were confirmed based on runs of homozygosity analysis. These private signatures underline the genetic uniqueness of the Valais Blacknose sheep breed. In conclusion, we identified differences in the genetic make-up of Swiss sheep breeds, and we present relevant candidate genes responsible for breed differentiation in locally adapted breeds.
© 2019 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  zzm321990SNPzzm321990; genetic diversity; inbreeding; local breeds; selection signatures

Mesh:

Year:  2019        PMID: 31365135     DOI: 10.1111/age.12828

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


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