Loewe Laurence, Charlesworth Brian, Bartolomé Carolina, Nöel Véronique
Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom.
Genetics. 2006 Feb;172(2):1079-92. doi: 10.1534/genetics.105.047217. Epub 2005 Nov 19.
The distribution of mutational effects on fitness is of fundamental importance for many aspects of evolution. We develop two methods for characterizing the fitness effects of deleterious, nonsynonymous mutations, using polymorphism data from two related species. These methods also provide estimates of the proportion of amino acid substitutions that are selectively favorable, when combined with data on between-species sequence divergence. The methods are applicable to species with different effective population sizes, but that share the same distribution of mutational effects. The first, simpler, method assumes that diversity for all nonneutral mutations is given by the value under mutation-selection balance, while the second method allows for stronger effects of genetic drift and yields estimates of the parameters of the probability distribution of mutational effects. We apply these methods to data on populations of Drosophila miranda and D. pseudoobscura and find evidence for the presence of deleterious nonsynonymous mutations, mostly with small heterozygous selection coefficients (a mean of the order of 10(-5) for segregating variants). A leptokurtic gamma distribution of mutational effects with a shape parameter between 0.1 and 1 can explain observed diversities, in the absence of a separate class of completely neutral nonsynonymous mutations. We also describe a simple approximate method for estimating the harmonic mean selection coefficient from diversity data on a single species.
突变对适合度的影响分布在进化的许多方面都具有根本重要性。我们开发了两种方法来表征有害非同义突变的适合度效应,利用来自两个相关物种的多态性数据。当与物种间序列分歧的数据相结合时,这些方法还能估计出选择性有利的氨基酸替换的比例。这些方法适用于有效种群大小不同但突变效应分布相同的物种。第一种更简单的方法假设所有非中性突变的多样性由突变 - 选择平衡下的值给出,而第二种方法考虑了更强的遗传漂变效应,并得出突变效应概率分布参数的估计值。我们将这些方法应用于拟暗果蝇和米兰达果蝇种群的数据,发现了有害非同义突变存在的证据,大多数具有较小的杂合选择系数(分离变体的平均值约为10^(-5) )。在没有单独一类完全中性的非同义突变的情况下,形状参数在0.1到1之间的突变效应的尖峰伽马分布可以解释观察到的多样性。我们还描述了一种简单的近似方法,用于从单个物种的多样性数据估计调和平均选择系数。