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Towards a general theory of group selection

机译:走向群体选择的一般理论

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The longstanding debate about the importance of group (multilevel) selection suffers from a lack of formal models that describe explicit selection events at multiple levels. Here, we describe a general class of models for two-level evolutionary processes which include birth and death events at both levels. The models incorporate the state-dependent rates at which these events occur. The models come in two closely related forms: (1) a continuous-time Markov chain, and (2) a partial differential equation (PDE) derived from (1) by taking a limit. We argue that the mathematical structure of this PDE is the same for all models of two-level population processes, regardless of the kinds of events featured in the model. The mathematical structure of the PDE allows for a simple and unambiguous way to distinguish between individual- and group-level events in any two-level population model. This distinction, in turn, suggests a new and intuitively appealing way to define group selection in terms of the effects of group-level events. We illustrate our theory of group selection by applying it to models of the evolution of cooperation and the evolution of simple multicellular organisms, and then demonstrate that this kind of group selection is not mathematically equivalent to individual-level (kin) selection.
机译:关于组(多级)选择的重要性的长期争论因缺乏描述多级显式选择事件的形式模型而受到困扰。在这里,我们描述了两级​​进化过程的通用模型,其中包括两级的出生和死亡事件。这些模型包含了这些事件发生的状态相关速率。这些模型有两种密切相关的形式:(1)连续时间马尔可夫链,(2)通过取极限从(1)推导的偏微分方程(PDE)。我们认为,对于两级人口过程的所有模型,此PDE的数学结构都是相同的,而不管模型中所包含的事件类型如何。 PDE的数学结构提供了一种简单明确的方法来区分任何两级人口模型中的个人事件和群体事件。反过来,这种区别提出了一种新的,直观的,吸引人的方式,可以根据组级别事件的影响来定义组选择。我们通过将其应用于合作进化和简单多细胞生物进化的模型来说明我们的群体选择理论,然后证明这种群体选择在数学上不等同于个人级别(亲属)选择。

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