Cruz Valdecy A R, Oliveira Hinayah R, Brito Luiz F, Fleming Allison, Larmer Steven, Miglior Filippo, Schenkel Flavio S
Centre for Genetic Improvement of Livestock, Department of Animal Biosciences, University of Guelph, Guelph, Ontario, ON N1G 2W1, Canada.
Department of Animal Sciences, Purdue University, West Lafayette, IN 47907, USA.
Animals (Basel). 2019 Nov 19;9(11):997. doi: 10.3390/ani9110997.
The identification of genomic regions and candidate genes associated with milk fatty acids contributes to better understand the underlying biology of these traits and enables breeders to modify milk fat composition through genetic selection. The main objectives of this study were: (1) to perform genome-wide association analyses for five groups of milk fatty acids in Holstein cattle using a high-density (777K) SNP panel; and (2) to compare the results of GWAS accounting (or not) for the gene effect as a covariate in the statistical model. The five groups of milk fatty acids analyzed were: (1) saturated (SFA); (2) unsaturated (UFA); (3) short-chain (SCFA); (4) medium-chain (MCFA); and (5) long-chain (LCFA) fatty acids. When was not fitted as a covariate in the model, significant SNPs and candidate genes were identified on BTA5, BTA6, BTA14, BTA16, and BTA19. When fitting the gene in the model, only the and genes were identified. Thus, this study suggests that the gene accounts for most of the variability in milk fatty acid composition and the and genes are important additional candidate genes in Holstein cattle.
鉴定与乳脂肪酸相关的基因组区域和候选基因，有助于更好地理解这些性状的潜在生物学机制，并使育种者能够通过基因选择来改变乳脂肪组成。本研究的主要目标是：(1) 使用高密度（777K）SNP芯片，对荷斯坦奶牛的五组乳脂肪酸进行全基因组关联分析；(2) 比较在统计模型中（或未）将基因效应作为协变量纳入的全基因组关联研究结果。分析的五组乳脂肪酸为：(1) 饱和脂肪酸（SFA）；(2) 不饱和脂肪酸（UFA）；(3) 短链脂肪酸（SCFA）；(4) 中链脂肪酸（MCFA）；和(5) 长链脂肪酸（LCFA）。当在模型中未将其作为协变量纳入时，在BTA5、BTA6、BTA14、BTA16和BTA19上鉴定出了显著的SNP和候选基因。当在模型中纳入该基因时，仅鉴定出了该基因和另一基因。因此，本研究表明，该基因解释了乳脂肪酸组成的大部分变异性，而该基因和另一基因是荷斯坦奶牛中重要的额外候选基因。
