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Integration of selection signatures and multi-trait GWAS reveals polygenic genetic architecture of carcass traits in beef cattle.

Authors :
Niu, Qunhao
Zhang, Tianliu
Xu, Ling
Wang, Tianzhen
Wang, Zezhao
Zhu, Bo
Zhang, Lupei
Gao, Huijiang
Song, Jiuzhou
Li, Junya
Xu, Lingyang
Source :
Genomics. Sep2021, Vol. 113 Issue 5, p3325-3336. 12p.
Publication Year :
2021

Abstract

Carcass merits are widely considered as economically important traits affecting beef production in the beef cattle industry. However, the genetic basis of carcass traits remains to be well understood. Here, we applied multiple methods, including the Composite of Likelihood Ratio (CLR) and Genome-wide Association Study (GWAS), to explore the selection signatures and candidate variants affecting carcass traits. We identified 11,600 selected regions overlapping with 2214 candidate genes, and most of those were enriched in binding and gene regulation. Notably, we identified 66 and 110 potential variants significantly associated with carcass traits using single-trait and multi-traits analyses, respectively. By integrating selection signatures with single and multi-traits associations, we identified 12 and 27 putative genes, respectively. Several highly conserved missense variants were identified in OR5M13D , NCAPG, and TEX2. Our study supported polygenic genetic architecture of carcass traits and provided novel insights into the genetic basis of complex traits in beef cattle. • We explored the selection signatures and candidate variants affecting carcass traits. • By integrating selection signatures with single and multi-traits associations, we identified 12 and 27 genes for carcass traits, respectively. • Our study supported polygenic genetic basis of carcass traits and provided novel insights into the genetic basis of complex traits in beef cattle. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08887543
Volume :
113
Issue :
5
Database :
Academic Search Index
Journal :
Genomics
Publication Type :
Academic Journal
Accession number :
152063733
Full Text :
https://doi.org/10.1016/j.ygeno.2021.07.025