Predicting response to selection on a quantitative trait: A comparison between models for mixed-mating populations
Predicting response to selection on a quantitative trait: A comparison between models for mixed-mating populations
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DOI：
10.1006/jtbi.2000.2154
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发表时间：
2000-11-07
影响因子：
2
通讯作者：
Williamson, S
中科院分区：
文献类型：
--
作者：
Kelly, JK;Williamson, S
两种不同的理论框架已经发展到预测选择在一个混合交配群体（即繁殖发生的混合异交和自花受精）。基因型协方差模型（GCM）和结构线性模型（SLM）依赖于相同的假设，但使用不同的遗传汇总统计量的数量性状遗传。在这里，我们展示了在每个理论中使用的各种遗传指标之间的代数关系。这是通过用赖特-肯普索恩方程重新表述大气环流模式来实现的。我们使用随机模拟来研究每种理论对于一系列自交率的相对准确性。SLM通常比GCM更准确，最明显的差异出现在模拟近交衰退的健身。事实上，在强烈的近交衰退和高自交率的情况下，进化可能会发生与GCM预测的方向相反的方向。模拟还表明，直接应用随机交配模型的部分自交群体可以产生非常不准确的预测，如果数量性状位点表现出显性。(C)北京大学出版社.
Two different theoretical frameworks have been developed to predict response to selection in a mixed mating population tin which reproduction occurs by a mixture of outcrossing and self-fertilization). The genotypic covariance model (GCM) and the structured linear model (SLM) rely on the same assumptions regarding quantitative trait inheritance, but use different genetic summary statistics. Here, we demonstrate the algebraic relationships between the various genetic metrics used in each theory. This is accomplished by reformulating the GCM in terms of the Wright-Kempthorne equation. We use stochastic simulations to investigate the relative accuracy of each theory for a range of selfing rates. The SLM is generally more accurate than the GCM, the most pronounced differences emerging in simulations with inbreeding depression for fitness. In fact, with strong inbreeding depression and high selfing rates, evolution can occur opposite the direction predicted by the GCM. The simulations also indicate that direct application of random mating models to partially selfing populations can produce very inaccurate predictions if quantitative trait loci exhibit dominance. (C) 2000 Academic Press.