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全基因组关联研究在奶牛乳蛋白成分。

Whole-genome association study for milk protein composition in dairy cattle.

机构信息

CRV, PO Box 454, 6800 AL Arnhem, the Netherlands.

出版信息

J Dairy Sci. 2011 Jun;94(6):3148-58. doi: 10.3168/jds.2010-4030.

Abstract

Our objective was to perform a genome-wide association study for content in bovine milk of α(S1)-casein (α(S1)-CN), α(S2)-casein (α(S2)-CN), β-casein (β-CN), κ-casein (κ-CN), α-lactalbumin (α-LA), β-lactoglobulin (β-LG), casein index, protein percentage, and protein yield using a 50K single nucleotide polymorphism (SNP) chip. In total, 1,713 Dutch Holstein-Friesian cows were genotyped for 50,228 SNP and a 2-step association study was performed. The first step involved a general linear model and the second step used a mixed model accounting for all family relationships. Associations with milk protein content and composition were detected on 20 bovine autosomes. The main genomic regions associated with milk protein composition or protein percentage were found on chromosomes 5, 6, 11, and 14. The number of chromosomal regions showing significant (false discovery rate <0.01) effects ranged from 3 for β-CN and 3 for β-LG to 12 for α(S2)-CN. A genomic region on Bos taurus autosome (BTA) 6 was significantly associated with all 6 major milk proteins, and a genomic region on BTA 11 was significantly associated with the 4 caseins and β-LG. In addition, regions were detected that only showed a significant effect on one of the milk protein fractions: regions on BTA 13 and 22 with effects on α(S1)-CN; regions on BTA 1, 9, 10, 17, 19, and 28 with effects on α(S2)-CN; a region on BTA 6 with an effect on β-CN; regions on BTA 13 and 21 with effects on κ-CN; regions on BTA 1, 5, 9, 16, 17, and 26 with effects on α-LA; and a region on BTA 24 with an effect on β-LG. The proportion of genetic variance explained by the SNP showing the strongest association in each of these genomic regions ranged from <1% for α(S1)-CN on BTA 22 to almost 100% for casein index on BTA 11. Variation associated with regions on BTA 6, 11, and 14 could in large part but not completely be explained by known protein variants of β-CN (BTA 6), κ-CN (BTA 6), and β-LG (BTA 11) or DGAT1 variants (BTA 14). Our results indicate 3 regions with major effects on milk protein composition, in addition to several regions with smaller effects involved in the regulation of milk protein composition.

摘要

我们的目标是使用 50K 单核苷酸多态性 (SNP) 芯片对牛α(S1)-酪蛋白 (α(S1)-CN)、α(S2)-酪蛋白 (α(S2)-CN)、β-酪蛋白 (β-CN)、κ-酪蛋白 (κ-CN)、α-乳白蛋白 (α-LA)、β-乳球蛋白 (β-LG)、酪蛋白指数、蛋白百分比和蛋白产量的牛奶内容物进行全基因组关联研究。总共对 1713 头荷兰荷斯坦奶牛进行了 50228 个 SNP 的基因分型,并进行了两步关联研究。第一步涉及一般线性模型,第二步使用混合模型考虑所有家族关系。在 20 条牛染色体上检测到与牛奶蛋白含量和组成相关的关联。与牛奶蛋白组成或蛋白百分比相关的主要基因组区域位于染色体 5、6、11 和 14 上。显示出显著(错误发现率 <0.01)效应的染色体区域数量从β-CN 的 3 个和β-LG 的 3 个到α(S2)-CN 的 12 个不等。牛染色体 (BTA) 6 上的一个基因组区域与所有 6 种主要牛奶蛋白显著相关,BTA 11 上的一个基因组区域与 4 种酪蛋白和β-LG 显著相关。此外,还检测到仅对一种牛奶蛋白分数有显著影响的区域:BTA 13 和 22 上的区域对α(S1)-CN 有影响;BTA 1、9、10、17、19 和 28 上的区域对α(S2)-CN 有影响;BTA 6 上的一个区域对β-CN 有影响;BTA 13 和 21 上的区域对κ-CN 有影响;BTA 1、5、9、16、17 和 26 上的区域对α-LA 有影响;BTA 24 上的一个区域对β-LG 有影响。在这些基因组区域中,每个区域中显示最强关联的 SNP 解释的遗传方差比例从 BTA 22 上的α(S1)-CN 的<1%到 BTA 11 上的酪蛋白指数的近 100%不等。与 BTA 6、11 和 14 上的区域相关的变异可以在很大程度上(但不是完全)由 BTA 6 上已知的β-CN(BTA 6)、κ-CN(BTA 6)和β-LG(BTA 11)或 DGAT1 变体(BTA 14)来解释。我们的研究结果表明,除了一些与牛奶蛋白组成调节相关的较小影响区域外,还有 3 个区域对牛奶蛋白组成有主要影响。

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