个体间突变的随机外显率:分子进化中的一种新型遗传漂变。

IF 3.7 Q2 GENETICS & HEREDITY Phenomics (Cham, Switzerland) Pub Date : 2021-06-01 DOI:10.1007/s43657-021-00013-2
Xun Gu
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引用次数: 1

摘要

突变外显率的决定性观点是构建分子进化理论的一个基本假设:种群中具有相同基因型的个体具有相同的适应度效应。由于这一观点不断受到实验证据的挑战,因此有必要研究一下,违反这一观点会在多大程度上影响我们对分子进化的理解。为此,作者提出了外显率随机模型下的分子进化新理论:对于任何具有相同突变基因型的个体,选择系数是一个随机变量。由此可见,除了传统的N e遗传漂变(N e为有效群体大小)外,个体间外显率方差(ε 2)代表了一种新的遗传漂变类型,即ε 2遗传漂变。研究表明,这两种遗传漂变共同为近中性进化提供了新的见解:当ε 2遗传漂变是非平凡时,进化速率与log- n - e呈负相关。ε 2遗传漂变的log- N - e特征很好地解释了为什么人类的d N /d S比率(非同义率与同义率)仅为小鼠的两倍,而小鼠的有效种群规模(N - e)比人类大两个数量级。首次估计出哺乳动物基因的随机外显率方差约为ε 2≈5.89 × 10-3。
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Random Penetrance of Mutations Among Individuals: A New Type of Genetic Drift in Molecular Evolution.

The determinative view of mutation penetrance is a fundamental assumption for the building of molecular evolutionary theory: individuals in the population with the same genotype have the same fitness effect. Since this view has been constantly challenged by experimental evidence, it is desirable to examine to what extent violation of this view could affect our understanding of molecular evolution. To this end, the author formulated a new theory of molecular evolution under a random model of penetrance: for any individual with the same mutational genotype, the coefficient of selection is a random variable. It follows that, in addition to the conventional N e-genetic drift (N e is the effective population size), the variance of penetrance among individuals (ε 2) represents a new type of genetic drift, coined by the ε 2-genetic drift. It has been demonstrated that these two genetic drifts together provided new insights on the nearly neutral evolution: the evolutionary rate is inversely related to the log-of-N e when the ε 2-genetic drift is nontrivial. This log-of-N e feature of ε 2-genetic drift did explain well why the d N /d S ratio (the nonsynonymous rate to the synonymous rate) in humans is only as twofold as that in mice, while the effective population size (N e) of mice is about two-magnitude larger than that of humans. It was estimated that, for the first time, the variance of random penetrance in mammalian genes was approximately ε 2 ≈ 5.89 × 10-3.

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