Identifying the complex genetic architecture of growth and fatness traits in a Duroc pig population
文献类型： 外文期刊
第一作者： Zhang Zhe
作者： Zhang Zhe;Chen Zi-tao;Diao Shu-qi;Ye Shao-pan;Wang Jia-ying;Gao Ning;Yuan Xiao-long;Chen Zan-mou;Zhang Hao;Li Jia-qi
作者机构：
关键词： pig; GWAS; growth trait; fatness trait; candidate gene
期刊名称：JOURNAL OF INTEGRATIVE AGRICULTURE （ 影响因子：2.848； 五年影响因子：2.979 ）
ISSN： 2095-3119
年卷期： 2021 年 20 卷 6 期
页码：
收录情况： SCI
摘要： In modern pig breeding programs, growth and fatness are vital economic traits that significantly influence porcine production. To identify underlying variants and candidate genes associated with growth and fatness traits, a total of 1 067 genotyped Duroc pigs with de-regressed estimated breeding values (DEBV) records were analyzed in a genome wide association study (GWAS) by using a single marker regression model. In total, 28 potential single nucleotide polymorphisms (SNPs) were associated with these traits of interest. Moreover, VPS4B, PHLPP1, and some other genes were highlighted as functionally plausible candidate genes that compose the underlying genetic architecture of porcine growth and fatness traits. Our findings contribute to a better understanding of the genetic architectures underlying swine growth and fatness traits that can be potentially used in pig breeding programs.
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