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源和汇:异质环境中的进化随机模型。

Sources and sinks: a stochastic model of evolution in heterogeneous environments.

机构信息

Center for Theoretical Biological Physics, University of California at San Diego, La Jolla, California 92093, USA.

出版信息

Phys Rev Lett. 2010 Dec 10;105(24):248104. doi: 10.1103/PhysRevLett.105.248104. Epub 2010 Dec 8.

Abstract

We study evolution driven by spatial heterogeneity in a stochastic model of source-sink ecologies. A sink is a habitat where mortality exceeds reproduction so that a local population persists only due to immigration from a source. Immigrants can, however, adapt to conditions in the sink by mutation. To characterize the adaptation rate, we derive expressions for the first arrival time of adapted mutants. The joint effects of migration, mutation, birth, and death result in two distinct parameter regimes. These results may pertain to the rapid evolution of drug-resistant pathogens and insects.

摘要

我们在源-汇生态系统的随机模型中研究了由空间异质性驱动的进化。汇是一个死亡率超过繁殖率的栖息地,因此一个局部种群之所以能够持续存在,仅仅是因为有来自源的移民。然而,移民可以通过突变来适应汇中的条件。为了描述适应率,我们推导出了适应突变体的首次到达时间的表达式。迁移、突变、出生和死亡的共同作用导致了两个不同的参数区域。这些结果可能与耐药病原体和昆虫的快速进化有关。

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