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

文献类型： 外文期刊

第一作者： Niu, Qunhao

作者： Niu, Qunhao;Zhang, Tianliu;Xu, Ling;Wang, Tianzhen;Wang, Zezhao;Zhu, Bo;Gao, Xue;Chen, Yan;Zhang, Lupei;Gao, Huijiang;Li, Junya;Xu, Lingyang

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关键词： genetic architecture; imputed sequence variants; bone weight; Bayesian fine-mapping; beef cattle

期刊名称：FRONTIERS IN GENETICS （ 影响因子：4.772； 五年影响因子：4.933 ）

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年卷期： 2021 年 12 卷

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收录情况： SCI

摘要： Bone weight is critical to affect body conformation and stature in cattle. In this study, we conducted a genome-wide association study for bone weight in Chinese Simmental beef cattle based on the imputed sequence variants. We identified 364 variants associated with bone weight, while 350 of them were not included in the Illumina BovineHD SNP array, and several candidate genes and GO terms were captured to be associated with bone weight. Remarkably, we identified four potential variants in a candidate region on BTA6 using Bayesian fine-mapping. Several important candidate genes were captured, including LAP3, MED28, NCAPG, LCORL, SLIT2, and IBSP, which have been previously reported to be associated with carcass traits, body measurements, and growth traits. Notably, we found that the transcription factors related to MED28 and LCORL showed high conservation across multiple species. Our findings provide some valuable information for understanding the genetic basis of body stature in beef cattle.

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