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Gene Genealogies Strongly Distorted by Weakly Interfering Mutations in Constant Environments

机译:恒定环境中的弱干扰突变严重扭曲了基因谱系

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摘要

Neutral nucleotide diversity does not scale with population size as expected, and this “paradox of variation” is especially severe for animal mitochondria. Adaptive selective sweeps are often proposed as a major cause, but a plausible alternative is selection against large numbers of weakly deleterious mutations subject to Hill–Robertson interference. The mitochondrial genealogies of several species of whale lice (Amphipoda: Cyamus) are consistently too short relative to neutral-theory expectations, and they are also distorted in shape (branch-length proportions) and topology (relative sister-clade sizes). This pattern is not easily explained by adaptive sweeps or demographic history, but it can be reproduced in models of interference among forward and back mutations at large numbers of sites on a nonrecombining chromosome. A coalescent simulation algorithm was used to study this model over a wide range of parameter values. The genealogical distortions are all maximized when the selection coefficients are of critical intermediate sizes, such that Muller's ratchet begins to turn. In this regime, linked neutral nucleotide diversity becomes nearly insensitive to N. Mutations of this size dominate the dynamics even if there are also large numbers of more strongly and more weakly selected sites in the genome. A genealogical perspective on Hill–Robertson interference leads directly to a generalized background-selection model in which the effective population size is progressively reduced going back in time from the present.
机译:中性核苷酸多样性并不像预期的那样随种群规模扩展,这种“变异悖论”对于动物线粒体尤其严重。经常提出将自适应选择性扫描作为主要原因,但可行的替代方法是针对大量受到Hill-Robertson干扰的弱毒突变进行选择。相对于中性理论的预期,几种鲸虱(线虫:Cyamus)的线粒体谱系总是太短,并且它们的形状(分支长度比例)和拓扑结构(相对的姐妹包大小)也失真。这种模式很难通过适应性扫描或人口统计学历史来解释,但可以在非重组染色体上大量位点的正向和反向突变之间的干扰模型中重现。合并模拟算法用于在广泛的参数值范围内研究此模型。当选择系数具有关键的中间大小时,家谱失真都将最大化,从而使穆勒的棘轮开始转动。在这种情况下,连锁的中性核苷酸多样性几乎对N变得不敏感。即使在基因组中也存在大量更强和更弱的选择位点,这种大小的突变主导了动力学。对希尔-罗伯逊干扰的族谱学观点直接导致了一种普遍的背景选择模型,在该模型中,有效种群的数量从现在开始逐渐减小。

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