Charlesworth Brian
Institute of Evolutionary Biology, School of Biological Sciences, University of Edinburgh, Edinburgh EH9 3JT, United Kingdom
Proc Natl Acad Sci U S A. 2015 Feb 10;112(6):1662-9. doi: 10.1073/pnas.1423275112. Epub 2015 Jan 8.
DNA sequencing has revealed high levels of variability within most species. Statistical methods based on population genetics theory have been applied to the resulting data and suggest that most mutations affecting functionally important sequences are deleterious but subject to very weak selection. Quantitative genetic studies have provided information on the extent of genetic variation within populations in traits related to fitness and the rate at which variability in these traits arises by mutation. This paper attempts to combine the available information from applications of the two approaches to populations of the fruitfly Drosophila in order to estimate some important parameters of genetic variation, using a simple population genetics model of mutational effects on fitness components. Analyses based on this model suggest the existence of a class of mutations with much larger fitness effects than those inferred from sequence variability and that contribute most of the standing variation in fitness within a population caused by the input of mildly deleterious mutations. However, deleterious mutations explain only part of this standing variation, and other processes such as balancing selection appear to make a large contribution to genetic variation in fitness components in Drosophila.
DNA测序揭示了大多数物种内部存在高度变异性。基于群体遗传学理论的统计方法已应用于所得数据,并表明大多数影响功能重要序列的突变是有害的,但受到非常微弱的选择。数量遗传学研究提供了有关与适应性相关性状的群体内遗传变异程度以及这些性状变异通过突变产生的速率的信息。本文试图结合这两种方法应用于果蝇群体的现有信息,以便使用一个关于突变对适应性成分影响的简单群体遗传学模型来估计一些重要的遗传变异参数。基于该模型的分析表明,存在一类具有比从序列变异性推断出的更大适应性效应的突变,并且这些突变构成了由轻度有害突变输入导致的群体内适应性的大部分现有变异。然而,有害突变仅解释了这种现有变异的一部分,其他过程如平衡选择似乎对果蝇适应性成分的遗传变异有很大贡献。