ADAM-multi:软件可模拟动物和植物复杂的繁殖计划,具有不同水平的 ploidy 和通用的基因型效应模型,以考虑多个等位基因
Thinh Tuan Chu1,2, Just Jensen1
1Center for Quantitative Genetics and Genomics, Aarhus University, Aarhus, Denmark.
Frontiers in genetics
|February 25, 2025
概括
更新后的ADAM-Multi软件模拟了多基定量特征位点 (QTL),以改善动物和植物的繁殖. 密集的双基标记有效预测繁殖值,而非添加性遗传效应不会增强选择收益.
科学领域:
- 定量遗传学 是一种定量遗传学.
- 动物和植物育种动物和植物育种.
- 生物信息学是一种生物信息学.
背景情况:
- 像ADAM这样的随机模拟软件对于遗传评估和育种优化至关重要.
- 传统软件通常假定双基定量特征位点 (QTL),这可能不反映链接QTL的现实.
- 单核酸多态性 (SNP) 基因型化通常导致双基标记物的假设.
研究的目的:
- 引入ADAM-Multi,这是一个针对多基因QTL的新型模拟模型,可以容纳各种类型级别和遗传效应 (添加,主导,表现).
- 为了比较模拟研究中的多基与双基QTL假设的影响.
- 评估不同预测模型在土豆单个种群育种计划中的有效性.
主要方法:
- 开发了ADAM-Multi随机模拟软件,使用多基QTL模型.
- 模拟研究比较双基和多基QTL假设.
- 基因组预测模型在土豆育种计划中的应用.
主要成果:
- 使用密集双基标记物的基因组模型成功地预测了结构良好的群体中的繁殖值,即使具有底层的多基QTL.
- 在ADAM-Multi中的新型多基模拟模型提供了一个比双基假设更现实的方法.
- 将非添加物遗传效应纳入选择预测模型并没有改善研究的土豆种群中遗传收益的速度.
结论:
- ADAM-Multi为遗传评估提供了一个更具生物现实的模拟环境.
- 在某些场景中,双基标记足以准确预测育种价值,简化了遗传评估.
- 专注于附加遗传效应仍然有效,最大限度地提高育种计划中的遗传收益.
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