在没有血统信息的情况下,对热带肉牛进行多品种基因组评估
Ben J Hayes1, James Copley2, Elsie Dodd2
1Centre for Animal Science, Queensland Alliance for Agriculture and Food Innovation, University of Queensland, St Lucia, QLD, 4067, Australia. ben.hayes@uq.edu.au.
Genetics, selection, evolution : GSE
|October 16, 2023
概括
多品种热带牛的基因组选择是可行的,使用基因型来估计品种组成和异构,即使没有血统数据. 贝叶斯R模型在非代表群的基因组估计繁殖值 (GEBV) 中显示出最高的准确性.
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:
- 在多品种热带肉牛种群中实施基因组选择存在挑战,特别是缺乏血统信息的杂交动物.
- 在参考种群中使用商业动物可以显著扩大基因组评估数据集大小.
- 对于热带牛肉系统来说,研究包含标记衍生品种组成和异构性 (异构性) 的模型至关重要.
研究的目的:
- 评估多品种热带肉牛种群中基因组选择的模型,使用没有血统数据的动物的基因型.
- 评估将品种效应视为固定而不是随机的影响.
- 为了比较基因组最佳线性无偏预测 (GBLUP) 和贝叶斯R模型的性能.
主要方法:
- 开发并比较使用标记异构性和由遗传标记作为共变体衍生的品种组成的模型.
- 模型包括GBLUP和BayesR,品种效应被视为固定或随机.
- 利用了29391只热带适应性肉牛 (纯种,杂种,复合) 的数据集.
主要成果:
- 随机效应模型将遗传变异划分为品种内部和跨品种组件,从而能够以中等准确度 (0.30-0.43) 估计品种内部和跨品种GEBV.
- 随机品种效应产生了比固定效应更准确的GEBV.
- 贝叶斯R模型显示,在没有参考种群数据的群体中,GEBV预测的平均准确性提高了3%,特别是当验证种群的相关性较小时.
结论:
- 品种组成和异构可以从基因型准确估计,用于多品种基因组评估,当血统数据不可用时.
- 贝叶斯R模型为预测GEBV在参考数据集中没有代表的群体中提供了最高的准确性.
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