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Phenotypic diversity, population growth, and information in fluctuating environments

机译:表型多样性,人口增长和动荡环境中的信息

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Organisms in fluctuating environments must constantly adapt their behavior to survive. In clonal populations; this may be achieved through sensing followed by response or through the generation of diversity by stochastic phenotype switching. Here we show that stochastic switching can be favored over sensing when the environment changes infrequently. The optimal switching rates then mimic the statistics of environmental changes. We derive a relation between the long-term growth rate of the organism,and the information available about its fluctuating environment.
机译:在动荡的环境中,生物必须不断适应其行为才能生存。在克隆人群中;这可以通过传感后响应或通过随机表型转换产生分集来实现。在这里,我们表明,当环境变化不频繁时,随机切换优于感应。然后,最佳切换速率模仿环境变化的统计数据。我们得出了生物体的长期增长率与有关其波动环境的可用信息之间的关系。

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