Estimation of the upper limit of the mutation rate and mean heterozygous effect of deleterious mutations.

A Caballero
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引用次数: 4

Abstract

Deng et al. have recently proposed that estimates of an upper limit to the rate of spontaneous mutations and their average heterozygous effect can be obtained from the mean and variance of a given fitness trait in naturally segregating populations, provided that allele frequencies are maintained at the balance between mutation and selection. Using simulations they show that this estimation method generally has little bias and is very robust to violations of the mutation-selection balance assumption. Here I show that the particular parameters and models used in these simulations generally reduce the amount of bias that can occur with this estimation method. In particular, the assumption of a large mutation rate in the simulations always implies a low bias of estimates. In addition, the specific model of overdominance used to check the violation of the mutation-selection balance assumption is such that there is not a dramatic decline in mean fitness from overdominant mutations, again implying a low bias of estimates. The assumption of lower mutation rates and/or other models of balancing selection may imply considerably larger biases of the estimates, making the reliability of the proposed method highly questionable.

有害突变的突变率上限和平均杂合效应的估计。
Deng等人最近提出,如果等位基因频率保持在突变和选择之间的平衡,可以从自然分离群体中给定适应度性状的均值和方差中获得自发突变率及其平均杂合效应的上限估计。仿真结果表明,该估计方法一般具有较小的偏差,并且对违反突变选择平衡假设具有很强的鲁棒性。在这里,我展示了在这些模拟中使用的特定参数和模型通常会减少这种估计方法可能出现的偏倚量。特别是,在模拟中假设一个大的突变率总是意味着估计的低偏差。此外,用于检查违反突变选择平衡假设的显性特定模型使得过度显性突变的平均适应度没有急剧下降,这再次意味着估计偏差很低。假设较低的突变率和/或其他模型的平衡选择可能意味着相当大的偏差估计,使可靠性提出的方法非常值得怀疑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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