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微生物社会性状的多层次选择分析。

Multilevel selection analysis of a microbial social trait.

机构信息

Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.

出版信息

Mol Syst Biol. 2013 Aug 20;9:684. doi: 10.1038/msb.2013.42.

Abstract

The study of microbial communities often leads to arguments for the evolution of cooperation due to group benefits. However, multilevel selection models caution against the uncritical assumption that group benefits will lead to the evolution of cooperation. We analyze a microbial social trait to precisely define the conditions favoring cooperation. We combine the multilevel partition of the Price equation with a laboratory model system: swarming in Pseudomonas aeruginosa. We parameterize a population dynamics model using competition experiments where we manipulate expression, and therefore the cost-to-benefit ratio of swarming cooperation. Our analysis shows that multilevel selection can favor costly swarming cooperation because it causes population expansion. However, due to high costs and diminishing returns constitutive cooperation can only be favored by natural selection when relatedness is high. Regulated expression of cooperative genes is a more robust strategy because it provides the benefits of swarming expansion without the high cost or the diminishing returns. Our analysis supports the key prediction that strong group selection does not necessarily mean that microbial cooperation will always emerge.

摘要

对微生物群落的研究常常由于群体利益而导致合作进化的争论。然而,多层次选择模型告诫人们不要不加批判地假设群体利益会导致合作的进化。我们分析了一种微生物社会特征,以准确界定有利于合作的条件。我们将 Price 方程的多层次划分与一个实验室模型系统(铜绿假单胞菌的群集)相结合。我们使用竞争实验来参数化种群动态模型,在这些实验中,我们操纵表达,从而操纵群集合作的成本效益比。我们的分析表明,多层次选择可以有利于代价高昂的群集合作,因为它导致了种群的扩张。然而,由于高成本和收益递减,当亲缘关系较高时,自然选择只能有利于组成型合作。合作基因的调节表达是一种更稳健的策略,因为它提供了群集扩张的好处,而没有高成本或收益递减。我们的分析支持了一个关键预测,即强群体选择并不一定意味着微生物合作总会出现。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5cd7/3779802/114af31143ca/msb201342-f1.jpg

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