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迈向群体选择的一般理论。

Towards a general theory of group selection.

机构信息

Department of Mathematical and Statistical Sciences, University of Colorado at Denver, 1250 Fourteenth Street, Denver, CO 80202, USA.

出版信息

Evolution. 2013 Jun;67(6):1561-72. doi: 10.1111/j.1558-5646.2012.01835.x. Epub 2012 Nov 29.

Abstract

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.

摘要

关于群体(多层次)选择重要性的长期争论,由于缺乏描述多层次明确选择事件的正式模型而受到阻碍。在这里,我们描述了一类用于两级进化过程的模型,其中包括两个层次的出生和死亡事件。这些模型包含了这些事件发生的状态相关速率。模型有两种密切相关的形式:(1)连续时间马尔可夫链,(2)由(1)通过取极限得到的偏微分方程(PDE)。我们认为,对于所有两级种群过程模型,无论模型中包含哪种类型的事件,这种 PDE 的数学结构都是相同的。PDE 的数学结构允许以一种简单而明确的方式来区分任何两级种群模型中的个体和群体层面的事件。这种区分反过来又为根据群体层面事件的影响来定义群体选择提供了一种新颖而直观的方法。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展示我们的群体选择理论,然后证明这种群体选择在数学上与个体层面(亲缘)选择是不等价的。

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