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Fluctuations of Fitness Distributions and the Rate of Muller’s Ratchet

机译:健身分布的波动和穆勒棘轮的发生率

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摘要

The accumulation of deleterious mutations is driven by rare fluctuations that lead to the loss of all mutation free individuals, a process known as Muller’s ratchet. Even though Muller’s ratchet is a paradigmatic process in population genetics, a quantitative understanding of its rate is still lacking. The difficulty lies in the nontrivial nature of fluctuations in the fitness distribution, which control the rate of extinction of the fittest genotype. We address this problem using the simple but classic model of mutation selection balance with deleterious mutations all having the same effect on fitness. We show analytically how fluctuations among the fittest individuals propagate to individuals of lower fitness and have dramatically amplified effects on the bulk of the population at a later time. If a reduction in the size of the fittest class reduces the mean fitness only after a delay, selection opposing this reduction is also delayed. This delayed restoring force speeds up Muller’s ratchet. We show how the delayed response can be accounted for using a path-integral formulation of the stochastic dynamics and provide an expression for the rate of the ratchet that is accurate across a broad range of parameters.
机译:有害突变的积累是由罕见的波动驱动的,这种波动导致所有无突变个体的丢失,这一过程被称为穆勒棘轮。尽管穆勒的棘轮事件是群体遗传学的一个范式过程,但仍缺乏对其发生率的定量了解。困难在于适应度分布的波动具有非平凡的性质,这种波动控制着适度基因型的灭绝速度。我们使用简单而经典的突变选择平衡模型来解决这个问题,其中有害的突变都对适应性具有相同的影响。我们通过分析显示最适度个体之间的波动如何传播到适应性较低的个体,并在以后的时间对人口的大部分产生显着放大的影响。如果适者类别人数的减少仅在延迟后才降低平均适用性,则与此减少相对的选择也会延迟。这种延迟的恢复力加快了穆勒的棘轮速度。我们展示了如何使用随机动力学的路径积分公式来说明延迟响应,并提供了在广泛参数范围内准确的棘轮速率表达式。

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