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在内蒙古内蒙古经济特征的基因组选择克什米尔山羊通过整合GWAS先前信息来进行基因组选择

Haijiao Xi^1,2,3, Qi Xu^1,2,3, Huanfeng Yao^1,2,3

¹College of Animal Science, Inner Mongolia Agricultural University, Hohhot 010018, China.

Veterinary sciences

|October 28, 2025

概括

整合全基因组关联研究 (GWAS) 信息显著提高了克什米尔山羊重要的特征的基因组预测准确性. 这种方法通过利用重要的遗传位点来增强优秀个体的选择,以获得喀什米尔产量和体重等特征.

科学领域:

动物遗传学和动物繁殖
基因组选择基因组选择
量化遗传学量化遗传学

背景情况:

精确的基因组选择对于识别优秀牲畜个体至关重要.
整合全基因组关联研究 (GWAS) 信息已经显示出增强基因组预测准确性的潜力.

研究的目的:

评估整合GWAS对内蒙古喀什米尔山羊关键经济特征基因组预测准确性的先前信息的影响.
估计显著位点对喀什米尔产量,直径,体重和长度的遗传变异和遗传性的贡献.

主要方法:

利用了来自内蒙古喀什米尔山羊的表型,环境和基因型数据.
从以前的GWAS中提取了前5-20%的显著位点作为先前标记信息.
使用GBLUP-GA方法与GWAS预先信息估计的基因组育种值.
通过五倍交叉验证评估基因组预测的准确性.

主要成果:

显著的位点对遗传变异做出了重大贡献 (例如,喀什米尔产量为64-71%,体重为76-82%).
与传统方法相比,在纳入GWAS先前信息时,附加性遗传性估计增加了.
最佳的基因组预测准确性是通过整合5%的GWAS信息来实现喀什米尔产量,体重和长度,以及20%的喀什米尔直径.
对于大多数研究的特征,发现主导效应是可以忽略不计的.

结论:

整合GWAS的先前信息有效地提高了喀什米尔山羊经济重要特征的基因组预测准确性.
显著位点对遗传变异和遗传性的贡献很大.
当使用GWAS的先前信息来对这些特征进行基因组选择时,可以忽略主导效应,从而简化选择策略.

关键词:

在GWAS之前的标记信息信息.内蒙古喀什米尔山羊喀什米尔山羊占主导地位的影响.基因组选择基因组选择

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