使用多个大西洋鱼种群的基因组预测的准确性
Afees A Ajasa1,2, Solomon A Boison3, Hans M Gjøen4
1Nofima (Norwegian Institute of Food, Fisheries and Aquaculture Research), PO Box 210, 1431, Ås, Norway. afees.ajasa@nofima.no.
Genetics, selection, evolution : GSE
|May 15, 2024
概括
结合大西洋鱼种群进行基因组预测并没有提高对疾病耐药性的准确性. 种群之间的高遗传相关性并不能确保更好的预测,这表明多种群基因组预测策略的局限性.
科学领域:
- 水产养殖遗传学 水产养殖遗传学
- 动物繁殖 动物繁殖
- 基因组预测 基因组预测
背景情况:
- 基因组预测的准确性取决于参考人口的大小.
- 大西洋鱼繁殖计划具有平行种群,为联合参考集提供了机会.
- 多种人口预测可以降低与特征记录相关的成本和福利问题,特别是对于疾病.
研究的目的:
- 评估多种和跨种群基因组预测的准确性,以评估大西洋三文鱼的阿米贝病 (AGD) 耐药性.
- 评估使用所有单核酸多态 (SNP) 与选定的子集的影响.
- 为了研究遗传距离,遗传相关性和链接不平衡 (LD) 阶段在不同种群中的持久性.
主要方法:
- 利用线性和非线性基因组预测 (GP) 模型.
- 使用所有55KSNP或基于等位基替代效应的选定子集进行比较的预测准确度.
- 分析了遗传距离,基因关系基因相关性和LD阶段持久性.
主要成果:
- 遗传距离范围从0.03到0.07;遗传相关性范围从0.19到0.99.
- 结合种群显示,与人群内预测相比,预测准确度的改善是有限的或没有改善.
- 跨人群预测的准确性很低,与遗传相关性估计相关;LD阶段持久性很差 (0.51-0.65).
结论:
- 高基因相关性和种群之间的关系不能保证大西洋鱼多种群基因组预测的准确性.
- 目前的多种群基因组预测策略可能受到种群间不良链接不平衡阶段保护的限制.
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