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Genotyping and Whole-Genome Resequencing of Welsh Sheep Breeds Reveal Candidate Genes and Variants for Adaptation to Local Environment and Socioeconomic Traits

Sweet-Jones, James; Lenis, Vasileios Panagiotis; Yurchenko, Andrey A.; Yudin, Nikolay S.; Swain, Martin; Larkin, Denis M.

Authors

James Sweet-Jones

Vasileios Panagiotis Lenis

Andrey A. Yurchenko

Nikolay S. Yudin

Martin Swain

Denis M. Larkin



Contributors

Denis Larkin
Supervisor

Abstract

Background: Advances in genetic tools applied to livestock breeding has prompted research into the previously neglected breeds adapted to harsh local environments. One such group is the Welsh mountain sheep breeds, which can be farmed at altitudes of 300 m above sea level but are considered to have a low productive value because of their poor wool quality and small carcass size. This is contrary to the lowland breeds which are more suited to wool and meat production qualities, but do not fare well on upland pasture. Herein, medium-density genotyping data from 317 individuals representing 15 Welsh sheep breeds were used alongside the whole-genome resequencing data of 14 breeds from the same set to scan for the signatures of selection and candidate genetic variants using haplotype-and SNP-based approaches.

Citation

Sweet-Jones, J., Lenis, V. P., Yurchenko, A. A., Yudin, N. S., Swain, M., & Larkin, D. M. (2021). Genotyping and Whole-Genome Resequencing of Welsh Sheep Breeds Reveal Candidate Genes and Variants for Adaptation to Local Environment and Socioeconomic Traits. Frontiers in Genetics, 12, https://doi.org/10.3389/fgene.2021.612492

Journal Article Type Article
Acceptance Date May 10, 2021
Online Publication Date Jun 18, 2021
Publication Date Jun 18, 2021
Deposit Date Jul 4, 2021
Publicly Available Date Jul 14, 2021
Journal Frontiers in Genetics
Publisher Frontiers Media
Peer Reviewed Peer Reviewed
Volume 12
DOI https://doi.org/10.3389/fgene.2021.612492
Keywords Genetics(clinical); Molecular Medicine; Genetics
Public URL https://rvc-repository.worktribe.com/output/1549676

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