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Mutant invasions and adaptive dynamics in variable environments

机译:可变环境中的突变入侵和自适应动力学

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摘要

The evolution of natural organisms is ultimately driven by the invasion and possible fixation of mutant alleles. The invasion process is highly stochastic, however, and the probability of success is generally low, even for advantageous alleles. Additionally, all organisms live in a stochastic environment, which may have a large influence on what alleles are favorable, but also contributes to the uncertainty of the invasion process. We calculate the invasion probability of a beneficial, mutant allele in a monomorphic, large population subject to stochastic environmental fluctuations, taking into account density- and frequency-dependent selection, stochastic population dynamics and temporal autocorrelation of the environment. We treat both discrete and continuous time population dynamics, and allow for overlapping generations in the continuous time case. The results can be generalized to diploid, sexually reproducing organisms embedded in communities of interacting species. We further use these results to derive an extended canonical equation of adaptive dynamics, predicting the rate of evolutionary change of a heritable trait on long evolutionary time scales.
机译:天然生物的进化最终是由突变等位基因的入侵和可能的固定驱动的。然而,入侵过程是高度随机的,并且即使对于有利的等位基因,成功的可能性通常也较低。此外,所有生物都生活在随机环境中,这可能会对有利于哪些等位基因产生很大影响,但也会导致入侵过程的不确定性。我们考虑到依赖于密度和频率的选择,随机种群动态和环境的时间自相关,计算出单变量大种群中受随机环境波动影响的有益突变等位基因的入侵概率。我们同时处理离散时间和连续时间种群动态,并允许在连续时间情况下生成重叠的世代。结果可以推广到二倍体,即有性繁殖的生物,它们嵌入相互作用物种的群落中。我们进一步使用这些结果来推导自适应动力学的扩展典范方程,预测长遗传时间尺度上遗传性状的进化变化率。

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