1Gembloux Agro-Bio Tech Faculty,TERRA Teaching and Research Centre,University of Liège,B-5030 Gembloux,Belgium.
2Department of Animal Science,Universidade Federal de Viçosa,36570-900 Viçosa,Minas Gerais,Brazil.
Animal. 2018 Feb;12(2):205-214. doi: 10.1017/S1751731117001562. Epub 2017 Jul 13.
Despite single nucleotide polymorphism (SNP) availability and frequent cost reduction has allowed genome-wide association studies even in complex traits as tick resistance, the use of this information source in SNP by environment interaction context is unknown for many economically important traits in cattle. We aimed at identifying putative genomic regions explaining differences in tick resistance in Hereford and Braford cattle under SNP by environment point of view as well as to identify candidate genes derived from outliers/significant markers. The environment was defined as contemporary group means of tick counts, since they seemed to be the most appropriate entities to describe the environmental gradient in beef cattle. A total of 4363 animals having tick counts (n=10 673) originated from 197 sires and 3966 dams were used. Genotypes were acquired on 3591 of these cattle. From top 1% SNPs (410) having the greatest effects in each environment, 75 were consistently relevant in all environments, which indicated SNP by environment interaction. The outliers/significant SNPs were mapped on chromosomes 1, 2, 5, 6, 7, 9, 11, 13, 14, 15, 16, 18, 21, 23, 24, 26 and 28, and potential candidate genes were detected across environments. The presence of SNP by environment interaction for tick resistance indicates that genetic expression of resistance depends upon tick burden. Markers with major portion of genetic variance explained across environments appeared to be close to genes with different direct or indirect functions related to immune system, inflammatory process and mechanisms of tissue destruction/repair, such as energy metabolism and cell differentiation.
尽管单核苷酸多态性 (SNP) 的可用性和频繁的成本降低使得全基因组关联研究即使在复杂性状如抗蜱性中也成为可能,但在许多重要的牛经济性状中,这种信息来源在 SNP 与环境相互作用方面的应用仍然未知。我们的目的是从 SNP 与环境的角度确定解释海弗德牛和布拉福德牛抗蜱差异的假定基因组区域,并从离群值/显著标记中确定候选基因。环境被定义为蜱计数的当代群体平均值,因为它们似乎是描述肉牛环境梯度最适当的实体。总共 4363 头具有蜱计数(n=10673)的动物来自 197 头公牛和 3966 头母牛。这些牛中的 3591 头获得了基因型。在每个环境中影响最大的前 1%的 SNP(410 个)中,有 75 个在所有环境中始终具有相关性,这表明 SNP 与环境相互作用。离群值/显著 SNP 被映射到染色体 1、2、5、6、7、9、11、13、14、15、16、18、21、23、24、26 和 28,并且在不同环境中检测到潜在的候选基因。抗蜱性的 SNP 与环境相互作用的存在表明,抗性的遗传表达取决于蜱的负担。在不同环境中解释大部分遗传方差的 SNP 标记似乎与具有不同直接或间接功能的基因接近,这些基因与免疫系统、炎症过程和组织破坏/修复机制有关,如能量代谢和细胞分化。