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基于GWAS先前标记信息的阿尔卑斯美利诺羊的断奶体重基因组选择

Haifeng Wang^1,2, Chenglan Li^1,2, Jianye Li^1,2

¹Key Laboratory of Animal Genetics and Breeding on Tibetan Plateau, Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China.

Animals : an open access journal from MDPI

|July 13, 2024

概括

通过结合来自全基因组关联研究 (GWAS) 的先前标记数据,提高了绵羊断奶体重的基因组选择精度. 这提高了基因组估计的繁殖值 (GEBV),以改善畜牧养殖.

科学领域:

动物遗传学动物遗传学
量化遗传学量化遗传学
基因组选择基因组选择

背景情况:

基因组选择对于改善牲畜特征至关重要.
基因组最佳线性无偏预测 (GBLUP) 是估计繁殖值的标准方法.
结合先前的信息可能会提高预测的准确性.

研究的目的:

为了比较使用GBLUP与GBLUP的GEBV准确性,与GWAS衍生的标记信息进行比较.
评估不同比例的顶级GWAS标记对预测准确性的影响.
为改善绵羊的基因组选择策略提供见解.

主要方法:

使用了1007只高地美利诺羊的种群.
进行全基因组关联研究 (GWAS) 以确定显著标记物.
应用GBLUP带有或没有先前标记信息 (前5%-20%的SNP).
采用五倍交叉验证来评估预测准确性.

主要成果:

对于断奶体重的GBLUP遗传概率估计范围从0.122到0.394,预测准确度为0.075到0.228.
纳入GWAS标记信息增加了遗传性,达到0.1250.407.7.
使用顶级GWAS SNPs作为预先信息显示了提高GEBV预测准确性的潜力.

结论:

来自GWAS的先前标记信息可以增强遗传概率估计.
从GWAS中包含重要的SNP可以提高基因组育种价值预测的准确性.
这种方法为优化羊繁殖计划中的基因组选择提供了有价值的策略.

关键词:

在GWAS中,GWAS就是GWAS.基因组选择基因组选择预测的准确性预测的准确性预先的标记信息标记信息

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