影响联合猪种群基因组预测准确性的因素
Wei Zhao1, Zhenyang Zhang2, Zhen Wang2
1Department of Animal Science, School of Agriculture and Biology, Shanghai Jiaotong University, 800# Dongchuan Road, Shang, East 200240, China.
Animal : an international journal of animal bioscience
|October 5, 2023
概括
联合种群中的基因组预测可以提高繁殖值的准确性,特别是当因果变异效应大小一致时. 诸如链接不平衡和等位基频率等因素会影响不同预测方法的准确性.
科学领域:
- 动物繁殖 动物繁殖
- 定量遗传学 是一种定量遗传学.
- 基因组学就是基因组学.
背景情况:
- 基因组预测 (GP) 对动物和植物育种至关重要.
- 联合群体GP可以提高对较小群体的准确性.
- 需要了解影响联合群体GP的因素.
研究的目的:
- 检查链接不平衡 (LD),因果变异效应大小 (CVES) 和小等位基因频率 (MAF) 对关节群体GP准确性的影响.
- 使用模拟和真实Duroc猪数据,比较联合与单个种群的GP准确性.
- 评估GBLUP,单步GBLUP和多特征GBLUP的表现.
主要方法:
- 使用模拟数据集和真实Duroc猪种群数据.
- 评估了基因组最佳线性无偏预测 (GBLUP),单步 GBLUP 和多特征 GBLUP 的准确性.
- 分析了人群之间的LD,CVES和MAF相关性的影响.
主要成果:
- 联合群体GP的准确性超过了单个群体的准确性,只有当LD不一致性存在时.
- 降低MAF相关性降低了单步GBLUP准确性; GBLUP在关节种群中仍然较高.
- 降低CVES相关性降低了GBLUP和单步GBLUP的准确性.
- 实体Duroc数据显示基因相关性较低,影响了一些特征的联合人口GP准确性.
结论:
- CVES的一致性对于多种人群的GP至关重要.
- 杜罗克人群中的遗传关系较弱,可能会降低联合GP的准确性.
- 多特征GBLUP是联合育种评估的竞争方法.
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