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The traveling wave approach to asexual evolution: Muller’s ratchet and speed of adaptation

机译:无性进化的行波方法:穆勒的棘轮和适应速度

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摘要

We use traveling-wave theory to derive expressions for the rate of accumulation of deleterious mutations under Muller’s ratchet and the speed of adaptation under positive selection in asexual populations. Traveling-wave theory is a semi-deterministic description of an evolving population, where the bulk of the population is modeled using deterministic equations, but the class of the highest-fitness genotypes, whose evolution over time determines loss or gain of fitness in the population, is given proper stochastic treatment. We derive improved methods to model the highest-fitness class (the stochastic edge) for both Muller’s ratchet and adaptive evolution, and calculate analytic correction terms that compensate for inaccuracies which arise when treating discrete fitness classes as a continuum. We show that traveling wave theory makes excellent predictions for the rate of mutation accumulation in the case of Muller’s ratchet, and makes good predictions for the speed of adaptation in a very broad parameter range. We predict the adaptation rate to grow logarithmically in the population size until the population size is extremely large.
机译:我们使用行波理论来推导无性种群中穆勒棘轮下有害突变的积累速率和正选择下的适应速度的表达式。行波理论是不断发展的人口的半确定性描述,其中人口的大部分是使用确定性方程建模的,但是最高适应性基因型的类别随时间的变化决定了人口适应性的丧失或获得,给予适当的随机处理。我们推导了改进的方法来为Muller的棘轮和自适应进化建模最高适应性类别(随机边缘),并计算解析校正项,以补偿将离散适应性类别作为连续体时出现的不准确性。我们展示了行波理论对穆勒棘轮的突变积累速率做出了出色的预测,并且对非常宽的参数范围内的适应速度做出了很好的预测。我们预测适应率将在人口规模中呈对数增长,直到人口规模极大。

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