Genomic Signatures Reveal New Evidences for Selection of Important Traits in Domestic Cattle
Author(s) -
Lingyang Xu,
Derek M. Bickhart,
John B. Cole,
Steven Schroeder,
Jiuzhou Song,
Curtis P. Van Tassell,
Tad S. Sonstegard,
George E. Liu
Publication year - 2014
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msu333
Subject(s) - biology , domestication , genetics , single nucleotide polymorphism , candidate gene , haplotype , selection (genetic algorithm) , breed , genome , bovine genome , genome wide association study , evolutionary biology , gene , allele , genotype , artificial intelligence , computer science
We investigated diverse genomic selections using high-density single nucleotide polymorphism data of five distinct cattle breeds. Based on allele frequency differences, we detected hundreds of candidate regions under positive selection across Holstein, Angus, Charolais, Brahman, and N'Dama. In addition to well-known genes such as KIT, MC1R, ASIP, GHR, LCORL, NCAPG, WIF1, and ABCA12, we found evidence for a variety of novel and less-known genes under selection in cattle, such as LAP3, SAR1B, LRIG3, FGF5, and NUDCD3. Selective sweeps near LAP3 were then validated by next-generation sequencing. Genome-wide association analysis involving 26,362 Holsteins confirmed that LAP3 and SAR1B were related to milk production traits, suggesting that our candidate regions were likely functional. In addition, haplotype network analyses further revealed distinct selective pressures and evolution patterns across these five cattle breeds. Our results provided a glimpse into diverse genomic selection during cattle domestication, breed formation, and recent genetic improvement. These findings will facilitate genome-assisted breeding to improve animal production and health.
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