Department of Animal Science, Faculty of Agriculture, Ferdowsi University of Mashhad, Mashhad, Iran.
Centre for Quantitative Genetics and Genomics, Aarhus University, Tjele, Denmark.
Anim Sci J. 2023 Jan-Dec;94(1):e13864. doi: 10.1111/asj.13864.
Identification of selection signatures may provide a better understanding of domestication process and candidate genes contributing to this process. In this study, two populations of domestic and wild goats from Iran were analyzed to identify selection signatures. RSB, iHS, and XP-EHH statistics were used in order to identify robust selection signatures in the goat genome. Genotype data of domestic and wild goats from the NextGen project was used. The data was related to 18 Capra aegagrus (wild goat) and 20 Capra hircus (domestic goat) from Iran. The iHS method indicated 675 and 441 selection signatures in C. aegagrus and C. hircus, respectively. RSB and XP-EHH methods showed about 370 and 447 selection signatures in C. aegagrus and C. hircus, respectively. These selection signatures were mainly associated with milk production, fleece trait, mammary epithelial cells, reproduction, and immune system.
鉴定选择信号可以更好地了解驯化过程和对这一过程有贡献的候选基因。在这项研究中，分析了来自伊朗的两个家养和野生山羊群体，以鉴定选择信号。使用了 RSB、iHS 和 XP-EHH 统计数据来鉴定山羊基因组中的稳健选择信号。使用了来自 NextGen 项目的家养和野生山羊的基因型数据。这些数据与来自伊朗的 18 只野山羊（Capra aegagrus）和 20 只家山羊（Capra hircus）有关。iHS 方法分别在 C. aegagrus 和 C. hircus 中鉴定出 675 和 441 个选择信号。RSB 和 XP-EHH 方法分别在 C. aegagrus 和 C. hircus 中显示了约 370 和 447 个选择信号。这些选择信号主要与产奶量、羊毛特性、乳腺上皮细胞、繁殖和免疫系统有关。
