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Evolution on neutral networks accelerates the ticking rate of the molecular clock

机译:神经网络的发展加快了分子钟的滴答速度

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摘要

Large sets of genotypes give rise to the same phenotype, because phenotypic expression is highly redundant. Accordingly, a population can accept mutations without altering its phenotype, as long as the genotype mutates into another one on the same set. By linking every pair of genotypes that are mutually accessible through mutation, genotypes organize themselves into neutral networks (NNs). These networks are known to be heterogeneous and assortative, and these properties affect the evolutionary dynamics of the population. By studying the dynamics of populations on NNs with arbitrary topology, we analyse the effect of assortativity, of NN (phenotype) fitness and of network size. We find that the probability that the population leaves the network is smaller the longer the time spent on it. This progressive ‘phenotypic entrapment’ entails a systematic increase in the overdispersion of the process with time and an acceleration in the fixation rate of neutral mutations. We also quantify the variation of these effects with the size of the phenotype and with its fitness relative to that of neighbouring alternatives.
机译:大的基因型集会产生相同的表型,因为表型表达是高度冗余的。因此,只要该基因型在同一组中突变为另一种,就可以接受突变而不会改变其表型。通过链接通过突变可相互访问的每对基因型,基因型将自身组织成中性网络(NN)。已知这些网络是异质的和分类的,并且这些属性影响种群的进化动力学。通过研究具有任意拓扑的NN上的种群动态,我们分析了分类性,NN(表型)适应度和网络规模的影响。我们发现,人口离开网络的可能性越小,花费的时间越长。这种渐进的“表型诱捕”要求随着时间的推移,系统过度分散过程会逐渐增加,并且中性突变的固定率也会加快。我们还量化了这些效应随表型大小及其相对于相邻替代物的适应性的变化。

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