Literature DB >> 34314829

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

Qunhao Niu1, Tianliu Zhang1, Ling Xu1, Tianzhen Wang1, Zezhao Wang1, Bo Zhu1, Lupei Zhang1, Huijiang Gao1, Jiuzhou Song2, Junya Li3, Lingyang Xu4.   

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.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Beef cattle; Carcass traits; Genetic architecture; Imputed sequence variants; Selection signatures

Mesh:

Year:  2021        PMID: 34314829     DOI: 10.1016/j.ygeno.2021.07.025

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  2 in total

1.  Identification of Candidate Variants Associated With Bone Weight Using Whole Genome Sequence in Beef Cattle.

Authors:  Qunhao Niu; Tianliu Zhang; Ling Xu; Tianzhen Wang; Zezhao Wang; Bo Zhu; Xue Gao; Yan Chen; Lupei Zhang; Huijiang Gao; Junya Li; Lingyang Xu
Journal:  Front Genet       Date:  2021-11-29       Impact factor: 4.599

2.  Transcriptional states and chromatin accessibility during bovine myoblasts proliferation and myogenic differentiation.

Authors:  Qian Li; Yahui Wang; Xin Hu; Yapeng Zhang; Hongwei Li; Qi Zhang; Wentao Cai; Zezhao Wang; Bo Zhu; Lingyang Xu; Xue Gao; Yan Chen; Huijiang Gao; Junya Li; Lupei Zhang
Journal:  Cell Prolif       Date:  2022-04-01       Impact factor: 8.755

  2 in total

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