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Fitness variation in isogenic populations leads to a novel evolutionary mechanism for crossing fitness valleys

机译:等基因种群的适应度变化导致穿越适应度谷的新型进化机制

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摘要

Individuals in a population often have different fitnesses even when they have identical genotypes, but the effect of this variation on the evolution of a population through complicated fitness landscapes is unknown. Here, we investigate how populations with non-genetic fitness variation cross fitness valleys, common barriers to adaptation in rugged fitness landscapes in which a population must pass through a deleterious intermediate to arrive at a final advantageous stage. We develop a stochastic computational model describing the dynamics of an asexually reproducing population crossing a fitness valley, in which individuals of the same evolutionary stage can have variable fitnesses. We find that fitness variation that persists over multiple generations increases the rate of valley crossing through a novel evolutionary mechanism different from previously characterized mechanisms such as stochastic tunneling. By reducing the strength of selection against deleterious intermediates, persistent fitness variation allows for faster adaptation through rugged fitness landscapes.
机译:人口中的个体即使具有相同的基因型也常常具有不同的适应度,但是这种变化对人群通过复杂适应度格局演变的影响尚不清楚。在这里,我们研究了具有非遗传适应度变异的种群如何穿越适应谷,这是适应崎fitness不平的适应环境的常见障碍,在该环境中,种群必须通过有害的中间体才能到达最终的有利阶段。我们开发了一个随机计算模型,该模型描述了跨过适应谷地的无性繁殖种群的动力学,其中处于同一进化阶段的个体可以具有不同的适应性。我们发现,在多个世代中持续存在的适应性变化,通过一种新颖的演化机制(不同于诸如随机隧道的先前特征机制),增加了穿越山谷的速度。通过降低针对有害中间体的选择强度,持续的适应性变化可通过崎fitness不平的适应环境更快地进行适应。

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