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首页> 外文期刊>Genetics: A Periodical Record of Investigations Bearing on Heredity and Variation >Stabilizing Selection, Purifying Selection, and Mutational Bias in Finite Populations
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Stabilizing Selection, Purifying Selection, and Mutational Bias in Finite Populations

机译:有限人群中的稳定选择,纯化选择和变异偏向

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Genomic traits such as codon usage and the lengths of noncoding sequences may be subject to stabilizing selection rather than purifying selection. Mutations affecting these traits are often biased in one direction. To investigate the potential role of stabilizing selection on genomic traits, the effects of mutational bias on the equilibrium value of a trait under stabilizing selection in a finite population were investigated, using two different mutational models. Numerical results were generated using a matrix method for calculating the probability distribution of variant frequencies at sites affecting the trait, as well as by Monte Carlo simulations. Analytical approximations were also derived, which provided useful insights into the numerical results. A novel conclusion is that the scaled intensity of selection acting on individual variants is nearly independent of the effective population size over a wide range of parameter space and is strongly determined by the logarithm of the mutational bias parameter. This is true even when there is a very small departure of the mean from the optimum, as is usually the case. This implies that studies of the frequency spectra of DNA sequence variants may be unable to distinguish between stabilizing and purifying selection. A similar investigation of purifying selection against deleterious mutations was also carried out. Contrary to previous suggestions, the scaled intensity of purifying selection with synergistic fitness effects is sensitive to population size, which is inconsistent with the general lack of sensitivity of codon usage to effective population size.
机译:诸如密码子使用和非编码序列长度之类的基因组特征可能要经过稳定选择而不是纯化选择。影响这些特征的突变通常偏向一个方向。为了研究稳定选择对基因组性状的潜在作用,使用两种不同的突变模型,研究了有限群体中稳定选择下突变偏向对性状平衡值的影响。使用矩阵方法生成数值结果,该方法用于计算影响性状的位点处变异频率的概率分布,以及通过蒙特卡洛模拟得出。还得出了分析近似值,这为数值结果提供了有用的见解。一个新颖的结论是,作用于单个变体的选择的按比例缩放强度几乎与参数空间的广泛范围内的有效种群大小无关,并且强烈取决于突变偏倚参数的对数。即使均值与最佳值之间的偏差很小(通常是这种情况),也是如此。这意味着对DNA序列变异体频谱的研究可能无法区分稳定选择和纯化选择。还进行了针对有害突变的纯化选择的类似研究。与先前的建议相反,具有协同适应性效应的纯化选择的规模强度对种群大小敏感,这与密码子使用对有效种群大小的普遍缺乏敏感性不一致。

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