猪IMputation (SWIM) 哈普洛型参考面板使得核酸分辨率在猪中的遗传映射成为可能
Rongrong Ding1,2,3, Rodrigo Savegnago2,4, Jinding Liu2,5
1College of Animal Science and National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangzhou, Guangdong, China.
Communications biology
|May 30, 2023
概括
研究人员从2259只全基因组测序的动物中开发了一组猪哈普洛型面板. 该资源显著提高了基因型归算的准确性,提高了用于畜牧物遗传改进的遗传映射分辨率.
科学领域:
- 动物遗传学动物遗传学
- 基因组学就是基因组学.
- 定量特征位置 (QTL) 分析.
背景情况:
- 猪的遗传映射对于动物遗传改进至关重要,但受到低分辨率基因定型的阻碍.
- 高通量基因型定型的进步还没有完全克服猪中稀疏变异数据的挑战.
研究的目的:
- 开发一个高质量的猪参考单双型组,以提高基因型归算的准确性.
- 提高猪基因映射的分辨率,以更好地识别影响经济重要特征的基因.
主要方法:
- 使用来自44个品种的2,259头猪的全基因组测序数据构建了一个参考单元型小组.
- 通过评估软件和小组的品种组成,优化了基因型归算.
- 使用一致率和r平方值验证的归算准确性.
主要成果:
- 与开发的面板实现了超过96%的平均基因型一致率.
- 获得了88%的非参考一致率和0.85.85.2的归算准确率 (r2).
- 通过使用归算基因型的案例研究,通过遗传映射解决方案显著改善.
结论:
- 开发的猪参考哈普洛型面板大大提高了基因型归算的准确性和遗传映射分辨率.
- 这种资源可以通过公共网络服务器访问,预计将加速猪的遗传改进.
- 促进了对猪种群中经济重要特征负责的基因和等位基因的识别.
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