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通过全基因组关联分析对奶牛乳房炎类型性状进行直接表型分析和主成分分析,发现新的数量性状基因座

Direct Phenotyping and Principal Component Analysis of Type Traits Implicate Novel QTL in Bovine Mastitis through Genome-Wide Association.

作者信息

Miles Asha M, Posbergh Christian J, Huson Heather J

机构信息

Department of Animal Science, Cornell University, Ithaca, NY 14853, USA.

出版信息

Animals (Basel). 2021 Apr 17;11(4):1147. doi: 10.3390/ani11041147.

Abstract

Our objectives were to robustly characterize a cohort of Holstein cows for udder and teat type traits and perform high-density genome-wide association studies for those traits within the same group of animals, thereby improving the accuracy of the phenotypic measurements and genomic association study. Additionally, we sought to identify a novel udder and teat trait composite risk index to determine loci with potential pleiotropic effects related to mastitis. This approach was aimed at improving the biological understanding of the genetic factors influencing mastitis. Cows (N = 471) were genotyped on the Illumina BovineHD777k beadchip and scored for front and rear teat length, width, end shape, and placement; fore udder attachment; udder cleft; udder depth; rear udder height; and rear udder width. We used principal component analysis to create a single composite measure describing type traits previously linked to high odds of developing mastitis within our cohort of cows. Genome-wide associations were performed, and 28 genomic regions were significantly associated (Bonferroni-corrected < 0.05). Interrogation of these genomic regions revealed a number of biologically plausible genes whicht may contribute to the development of mastitis and whose functions range from regulating cell proliferation to immune system signaling, including , , , , and Genetic investigation of the risk composite trait implicated a novel locus and candidate genes that have potentially pleiotropic effects related to mastitis.

摘要

我们的目标是全面描述一群荷斯坦奶牛的乳房和乳头类型性状,并在同一组动物中对这些性状进行高密度全基因组关联研究,从而提高表型测量和基因组关联研究的准确性。此外,我们试图确定一种新的乳房和乳头性状综合风险指数,以确定与乳腺炎相关的具有潜在多效性影响的基因座。这种方法旨在增进对影响乳腺炎的遗传因素的生物学理解。对471头奶牛进行了Illumina BovineHD777k芯片基因分型,并对前后乳头的长度、宽度、末端形状和位置、前乳房附着情况、乳房裂、乳房深度、后乳房高度和后乳房宽度进行了评分。我们使用主成分分析创建了一个单一的综合指标,用于描述先前在我们的奶牛群体中与患乳腺炎高几率相关的类型性状。进行了全基因组关联分析,有28个基因组区域显著相关(经Bonferroni校正后P<0.05)。对这些基因组区域的研究揭示了一些生物学上合理的基因,它们可能导致乳腺炎的发生,其功能范围从调节细胞增殖到免疫系统信号传导,包括 、 、 、 和 。对风险综合性状的遗传研究涉及一个新的基因座和一些与乳腺炎具有潜在多效性影响的候选基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cdba/8072530/1fe2266e3b84/animals-11-01147-g001.jpg

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