Animal Genomics and Improvement Laboratory, Henry A. Wallace Beltsville Agricultural Research Center, USDA Agricultural Research Service, Beltsville, MD 20705-2350.
School of Medicine, University of Maryland, Baltimore 21201.
J Dairy Sci. 2021 Jan;104(1):550-560. doi: 10.3168/jds.2020-18766. Epub 2020 Nov 12.
The goal of this study was to identify potential quantitative trait loci (QTL) for 27 production, fitness, and conformation traits of Guernsey cattle through genome-wide association (GWA) analyses, with extra emphasis on BTA19, where major QTL were observed for several traits. Animals' de-regressed predicted transmitting abilities (PTA) from the December 2018 traditional US evaluation were used as phenotypes. All of the Guernsey cattle included in the QTL analyses were predictor animals in the reference population, ranging from 1,077 to 1,685 animals for different traits. Single-trait GWA analyses were carried out by a mixed-model approach for all 27 traits using imputed high-density genotypes. A major QTL was detected on BTA19, influencing several milk production traits, conformation traits, and livability of Guernsey cattle, and the most significant SNP lie in the region of 26.2 to 28.3 Mb. The myosin heavy chain 10 (MYH10) gene residing within this region was found to be highly associated with milk production and body conformation traits of dairy cattle. After the initial GWA analyses, which suggested that many significant SNP are in linkage with one another, conditional analyses were used for fine mapping. The top significant SNP on BTA19 were fixed as covariables in the model, one at a time, until no more significant SNP were detected on BTA19. After this fine-mapping approach was applied, only 1 significant SNP was detected on BTA19 for most traits, but multiple, independent significant SNP were found for protein yield, dairy form, and stature. In addition, the haplotype that hosts the major QTL on BTA19 was traced to a US Guernsey born in 1954. The haplotype is common in the breed, indicating a long-term influence of this QTL on the US Guernsey population.
本研究的目的是通过全基因组关联(GWA)分析鉴定 27 个生产、适应和形态特征的潜在数量性状基因座(QTL),重点关注 BTA19,该区域观察到几个性状的主要 QTL。动物的 2018 年 12 月传统美国评估中去回归的预测传递能力(PTA)作为表型使用。所有参与 QTL 分析的圭尔纳牛都是参考群体中的预测动物,不同性状的动物数量从 1077 到 1685 不等。使用导入的高密度基因型对所有 27 个性状进行混合模型单性状 GWA 分析。在 BTA19 上检测到一个主要的 QTL,影响几个产奶性状、形态特征和圭尔纳牛的生存能力,最显著的 SNP 位于 26.2 到 28.3 Mb 区域。该区域内的肌球蛋白重链 10(MYH10)基因与奶牛的产奶量和身体形态特征高度相关。在最初的 GWA 分析表明许多显著 SNP 彼此连锁之后,使用条件分析进行精细定位。在模型中,一次固定 BTA19 上的最高显著 SNP 作为协变量,直到在 BTA19 上不再检测到更多的显著 SNP。应用这种精细映射方法后,大多数性状只在 BTA19 上检测到 1 个显著 SNP,但在蛋白质产量、乳制品形态和体高等性状上发现了多个独立的显著 SNP。此外,BTA19 上承载主要 QTL 的单倍型追溯到 1954 年出生的美国圭尔纳牛。该单倍型在该品种中很常见,表明该 QTL 对美国圭尔纳牛种群的长期影响。