a Centre for Genetic Improvement of Livestock, Department of Animal and Poultry Science, University of Guelph, 50 Stone Road East, Guelph, ON N1G 2W1, Canada.
Genome. 2013 Oct;56(10):586-91. doi: 10.1139/gen-2013-0072. Epub 2013 Sep 5.
This study reports a genome wide scan for chromosome regions and their haplotypes that significantly associated with average daily gain (ADG), dry matter intake (DMI), and residual feed intake (RFI) in beef cattle. The study used data from 597 Angus, 450 Charolais, and 616 crossbred beef cattle, and the Illumina Bovine SNP50 beadchip. Extended haplotype homozygosity was used to identify chromosome regions that had been recently selected for in the three groups of animals. Such regions in the crossbreds were tested for association with ADG, DMI, and RFI. At false discovery rates of 5% and 10%, there were six and eight chromosome regions showing significant associations with the traits, respectively. At nominal significance levels (at least P < 0.05), 23 regions with a total number of 31 haplotypes were found significantly associated with at least one of the three traits. The proportion of phenotypic variance explained by these 23 regions varied depending on the trait; the highest proportion for ADG, DMI, and RFI was 13.50%, 9.92%, and 2.64%, respectively. Most of the haplotypes affected single traits, except for GAA (BTA4), GCG (BTA7), and TAGT (BTA12) that affected multiple traits. Thirty-six quantitative trait loci for 16 production traits, from the current literature, covered fully or in part the 23 chromosome regions. The findings from this study might be an important contribution to the current knowledge of the beef cattle genome and to the effective identification of causative genes associated with important traits in cattle.
本研究报告了一项全基因组扫描,以寻找与肉牛平均日增重(ADG)、干物质摄入量(DMI)和剩余饲料摄入量(RFI)显著相关的染色体区域及其单倍型。该研究使用了来自 597 头安格斯牛、450 头夏洛莱牛和 616 头杂交肉牛的数据,以及 Illumina Bovine SNP50 珠芯片。扩展单倍型纯合性用于识别三个组群中最近被选择的染色体区域。在杂交牛中,这些区域被测试与 ADG、DMI 和 RFI 之间的关联。在假发现率为 5%和 10%的情况下,分别有 6 个和 8 个染色体区域与这些性状显著相关。在名义显著性水平(至少 P < 0.05)下,有 23 个区域的 31 个单倍型与三个性状中的至少一个显著相关。这些区域解释表型方差的比例因性状而异;ADG、DMI 和 RFI 的最高比例分别为 13.50%、9.92%和 2.64%。除了 GAA(BTA4)、GCG(BTA7)和 TAGT(BTA12)影响多个性状外,大多数单倍型仅影响单个性状。来自当前文献的 16 个生产性状的 36 个数量性状基因座,完全或部分覆盖了 23 个染色体区域。本研究的发现可能对当前的肉牛基因组知识和有效识别与牛重要性状相关的因果基因做出重要贡献。