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Moderate Amounts of Epistasis are Not Evolutionarily Stable in Small Populations

机译:适量的超越在小人物中没有进化稳定

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High mutation rates select for the evolution of mutational robustness where populations inhabit flat fitness peaks with little epistasis, protecting them from lethal mutagenesis. Recent evidence suggests that a different effect protects small populations from extinction via the accumulation of deleterious mutations. In drift robustness, populations tend to occupy peaks with steep flanks and positive epistasis between mutations. However, it is not known what happens when mutation rates are high and population sizes are small at the same time. Using a simple fitness model with variable epistasis, we show that the equilibrium fitness has a minimum as a function of the parameter that tunes epistasis, implying that this critical point is an unstable fixed point for evolutionary trajectories. In agent-based simulations of evolution at finite mutation rate, we demonstrate that when mutations can change epistasis, trajectories with a subcritical value of epistasis evolve to decrease epistasis, while those with supercritical initial points evolve towards higher epistasis. These two fixed points can be identified with mutational and drift robustness, respectively.
机译:高突变率选择了突变稳健性的演变,其中群体居住在平坦的健身峰与几乎没有简化的峰值,保护它们免受致命诱变。最近的证据表明,不同的效果通过对消毒突变的积累来保护小人物免受消失。在漂浮的稳健性中,群体倾向于占据陡峭的侧翼和突变之间的正起外观。但是,尚不知道在突变率很高时会发生什么,并且群体尺寸同时很小。使用具有可变超越的简单健身模型,我们表明平衡健身具有最小的函数,作为调谐外观的参数,这意味着该关键点是进化轨迹的不稳定的固定点。在基于代理的进化模拟中有限突变率,我们证明,当突变可以改变外观时,具有超临界值的外观的轨迹演变为减少外观,而超临界初始点的那些则扩展到更高的超越。可以分别用突变和漂移稳健性识别这两个固定点。

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