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arXiv 1104.3549q-bio.PE
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Moran和Wright-Fisher种群的多步进化速率

The rate of multi-step evolution in Moran and Wright-Fisher populations

Stephen R Proulx

摘要:

几个研究小组最近已经模拟了从祖先等位基因到有益等位基因的进化转变,这些等位基因被一个或多个间插突变体隔开。如果一系列中间突变体被固定,或者如果连续突变体出现而前一个中间突变体仍在分离,则有益等位基因可以变得固定。后一个过程被称为随机隧穿。以前的工作主要集中在群体遗传学的Moran模型上。我使用随机过程分析的基本方法,推导出隧道的概率在大的人口规模的限制莫兰和赖特-费舍尔人口。我还展示了如何有效地获得有限人口的数值结果。这些结果表明,随机隧穿的概率Wright-Fisher模型下的两倍大,因为它是在Moran模型。

英文摘要:

Several groups have recently modeled evolutionary transitions from an ancestral allele to a beneficial allele separated by one or more intervening mutants. The beneficial allele can become fixed if a succession of intermediate mutants are fixed or alternatively if successive mutants arise while the previous intermediate mutant is still segregating. This latter process has been termed stochastic tunneling. Previous work has focused on the Moran model of population genetics. I use elementary methods of analyzing stochastic processes to derive the probability of tunneling in the limit of large population size for both Moran and Wright-Fisher populations. I also show how to efficiently obtain numerical results for finite populations. These results show that the probability of stochastic tunneling is twice as large under the Wright-Fisher model as it is under the Moran model.

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