牦牛体重性状的全基因组关联研究

Genome-Wide Association Study of Body Weight Trait in Yaks.

作者信息

Wang Jiabo, Li Xiaowei, Peng Wei, Zhong Jincheng, Jiang Mingfeng

机构信息

Key Laboratory of Qinghai-Tibetan Plateau Animal Genetic Resource Reservation and Utilization, Ministry of Education and Sichuan Province, Southwest Minzu University, Chengdu 610041, China.

Sichuan Longri Breeding Farm, Hongyuan 610041, China.

出版信息

Animals (Basel). 2022 Jul 21;12(14):1855. doi: 10.3390/ani12141855.

Abstract

The yak is the largest meat-producing mammal around the Tibetan Plateau, and it plays an important role in the economic development and maintenance of the ecological environment throughout much of the Asian highlands. Understanding the genetic components of body weight is key for future improvement in yak breeding; therefore, genome-wide association studies (GWAS) were performed, and the results were used to mine plant and animal genetic resources. We conducted whole genome sequencing on 406 Maiwa yaks at 10 × coverage. Using a multiple loci mixed linear model (MLMM), fixed and random model circulating probability unification (FarmCPU), and Bayesian-information and linkage-disequilibrium iteratively nested keyway (BLINK), we found that a total of 25,000 single-nucleotide polymorphisms (SNPs) were distributed across chromosomes, and seven markers were identified as significantly (p-values < 3.91 × 10−7) associated with the body weight trait,. Several candidate genes, including MFSD4, LRRC37B, and NCAM2, were identified. This research will help us achieve a better understanding of the genotype−phenotype relationship for body weight.

摘要

牦牛是青藏高原周边最大的产肉哺乳动物,在亚洲大部分高地的经济发展和生态环境保护中发挥着重要作用。了解体重的遗传组成部分是未来牦牛育种改良的关键;因此,我们进行了全基因组关联研究(GWAS),并将结果用于挖掘动植物遗传资源。我们对406头麦洼牦牛进行了10倍覆盖度的全基因组测序。使用多位点混合线性模型(MLMM)、固定和随机模型循环概率统一法(FarmCPU)以及贝叶斯信息和连锁不平衡迭代嵌套关键法(BLINK),我们发现共有25000个单核苷酸多态性(SNP)分布在各条染色体上,并且鉴定出7个标记与体重性状显著相关(p值<3.91×10−7)。还鉴定出了几个候选基因,包括MFSD4、LRRC37B和NCAM2。这项研究将有助于我们更好地理解体重的基因型-表型关系。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b0da/9311934/97e00ee1d524/animals-12-01855-g001.jpg

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