纯种和杂种猪基因组中的多基因选择分析,使用代代代理选择映射
Caleb J Grohmann1, Caleb M Shull2, Tamar E Crum2
1University of Missouri, Columbia, MO, 65211, USA.
Genetics, selection, evolution : GSE
|September 14, 2023
概括
代代选择映射 (GPSM) 有效地识别商业猪种群中的选定位置,揭示了共同的选择目标和对猪生产至关重要的遗传结构.
科学领域:
- 人口遗传学 人口遗传学
- 定量遗传学 是一种定量遗传学.
- 动物繁殖 动物繁殖
背景情况:
- 基于定量特征的人工选择改变了牲畜中众多遗传位点的等位基因频率.
- 了解表型多样性的遗传基础是猪养殖计划的关键.
- 多基因选择,由繁殖价值和选择指数驱动,随着时间的推移塑造了牲畜基因组.
研究的目的:
- 应用生成代理选择映射 (GPSM) 来识别商业猪种群中人工选择下的位置.
- 评估GPSM在5至10年期间检测选定位置的有效性和准确性.
- 为了比较不同猪种群中选择的位置,以推断共享的选择目标和遗传架构.
主要方法:
- 在四个大型猪种群中利用单核酸多态 (SNP) 基因型的全基因组关联分析.
- 应用GPSM到SNP数据 (38,294-46,458标记) 对于出生日期来检测选择信号.
- 进行基因滴滴模拟以验证GPSM性能和估计错误率.
主要成果:
- GPSM在各种人口子集中确定了49至854个在选择中的位置.
- 汇集跨种群的数据增加了显著关联的数量,在多种种群中确定了几个位点.
- 基因滴滴模拟证实了微不足道的错误阳性率 (<0.02%),表明GPSM能够区分选择与遗传漂移.
结论:
- 代代选择映射 (GPSM) 是一种经过验证和准确的方法,用于检测商业猪种群中选定的位置.
- 结果表明不同猪种群的同时选择目标和共同的遗传架构.
- 鉴定到的位点对于改善生猪生产相关的特征具有重要意义.
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