用不同的统计模型对羊的定量特征进行X染色体剂量补偿的剖析
Farhad Ghafouri-Kesbi1, Moradpasha Eskandarinasab2
1Department of Animal Science, Faculty of Agriculture, Bu-Ali Sina University, Hamedan, Iran. f.ghafouri@basu.ac.ir.
Scientific reports
|December 5, 2024
概括
这项研究研究了Zandi羊的X染色体剂量补偿,发现包括X相关的遗传效应显著改善了生长速度和Kleiber比率的模型. 这表明,考虑到X染色体剂量对于在绵羊养殖中进行准确的遗传评估至关重要.
科学领域:
- 动物遗传学动物遗传学
- 量化遗传学 量化遗传学
- 羊的繁殖 羊的繁殖
背景情况:
- 男性和女性的X染色体数量不同,因此需要基因剂量均等的机制.
- 了解X染色体剂量补偿对于准确估计牲畜的遗传参数至关重要.
研究的目的:
- 调查 X 染色体剂量补偿生长率 (GR),克莱伯比率 (KR),生长效率 (EF) 和Zandi羊的相对生长率 (RGR).
- 为了比较X染色体剂量补偿的不同模型及其对遗传评估的影响.
主要方法:
- 采用两步动物模型程序,使用AIC选择最佳模型.
- 配备了额外的模型,包括五种X染色体剂量补偿策略.
- 使用预测平均平方误差 (MSE) 和皮尔森相关性评估模型的预测能力.
主要成果:
- 包括X相关效应的模型显著改善了GR和KR的数据匹配 (AIC) 和预测能力 (MSE,相关性).
- 在补偿策略中",没有全球剂量补偿" (ngdc) 模型为GR和KR提供了最适合的补偿策略.
- 包括X相关效应减少了GR和KR的自体组添加差异和残留差异.
结论:
- 考虑到X链接的遗传效应和剂量补偿,可以提高Zandi羊的遗传评估的准确性.
- 当包括X相关效应时,观察到顶级动物的重新排名,突出显示了它们的重要性.
- 建议将X链接遗传效应纳入育种模型,用于Zandi羊的GR和KR.
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