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Identifying the complex genetic architecture of growth and fatness traits in a Duroc pig population

文献类型： 外文期刊

作者： Zhang Zhe 1 ; Chen Zi-tao 1 ; Diao Shu-qi 1 ; Ye Shao-pan 1 ; Wang Jia-ying 1 ; Gao Ning 1 ; Yuan Xiao-long 1 ; Chen Zan- 1 ;

作者机构： 1.South China Agr Univ, Guangdong Prov Key Lab Agroanim Genom & Mol Breed, Natl Engn Res Ctr Breeding Swine Ind, Coll Anim Sci, Guangzhou 510642, Peoples R China

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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