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自然选择、适应度熵与协同进化动力学

Natural selection, fitness entropy, and the dynamics of coevolution.

作者信息

Desharnais R A

出版信息

Theor Popul Biol. 1986 Dec;30(3):309-40. doi: 10.1016/0040-5809(86)90039-0.

Abstract

The coevolutionary dynamics of interacting populations were studied by combining continuous time Lotka-Volterra models of population growth with single-locus genetic models of weak selection. The effects of natural selection on population growth were evaluated using Ginzburg's fitness entropy function as a measure of the deviation of a population's initial allele frequencies from their polymorphic equilibrium values. This entropy measure was used to relate the dynamics of a community composed of evolving populations to the dynamics of a "reference community" whose populations are initially in genetic equilibrium. Specifically, a quantity called the "selective difference area" was defined as the total difference between the population size trajectories of a reference and evolving population. The selective difference area represents the amount of extra life a species would realize if the entire community were at genetic equilibrium. It was shown that this selective difference area is a simple linear function of the initial fitness entropies of each species. This prediction is independent of the strength of selection and holds for any arbitrary set of initial population densities. Numerical examples were presented to illustrate the results. Under the assumption of weak selection, a generalization for arbitrary population growth models was outlined.

摘要

通过将种群增长的连续时间洛特卡 - 沃尔泰拉模型与弱选择的单基因座遗传模型相结合,研究了相互作用种群的协同进化动态。使用金兹堡的适应度熵函数来评估自然选择对种群增长的影响,该函数衡量种群初始等位基因频率与其多态平衡值的偏差。这种熵度量用于将由不断进化的种群组成的群落动态与“参考群落”的动态联系起来,参考群落的种群最初处于遗传平衡状态。具体而言,定义了一个称为“选择差异面积”的量,它是参考种群和进化种群的种群大小轨迹之间的总差异。选择差异面积表示如果整个群落处于遗传平衡状态,一个物种将实现的额外生命数量。结果表明,这个选择差异面积是每个物种初始适应度熵的简单线性函数。该预测与选择强度无关,适用于任何任意的初始种群密度集。给出了数值示例来说明结果。在弱选择假设下,概述了对任意种群增长模型的推广。

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