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控制细菌群体中的平均灭绝时间

Controlling the Mean Time to Extinction in Populations of Bacteria.

作者信息

Thakur Bhumika, Meyer-Ortmanns Hildegard

机构信息

School of Science, Constructor University, 28759 Bremen, Germany.

Complexity Science Hub Vienna, 1080 Vienna, Austria.

出版信息

Entropy (Basel). 2023 May 5;25(5):755. doi: 10.3390/e25050755.

Abstract

Populations of ecological systems generally have demographic fluctuations due to birth and death processes. At the same time, they are exposed to changing environments. We studied populations composed of two phenotypes of bacteria and analyzed the impact that both types of fluctuations have on the mean time to extinction of the entire population if extinction is the final fate. Our results are based on Gillespie simulations and on the WKB approach applied to classical stochastic systems, here in certain limiting cases. As a function of the frequency of environmental changes, we observe a non-monotonic dependence of the mean time to extinction. Its dependencies on other system parameters are also explored. This allows the control of the mean time to extinction to be as large or as small as possible, depending on whether extinction should be avoided or is desired from the perspective of bacteria or the perspective of hosts to which the bacteria are deleterious.

摘要

生态系统中的种群通常会因出生和死亡过程而出现数量波动。与此同时,它们还面临着不断变化的环境。我们研究了由两种细菌表型组成的种群,并分析了这两种波动类型对整个种群灭绝平均时间的影响(假设灭绝是最终结果)。我们的结果基于 Gillespie 模拟以及应用于经典随机系统的 WKB 方法(在此为某些极限情况)。作为环境变化频率的函数,我们观察到灭绝平均时间呈现非单调依赖性。还探究了其对其他系统参数的依赖性。这使得根据细菌或其对宿主有害的角度,决定是应避免灭绝还是期望灭绝,从而尽可能地控制灭绝平均时间的长短。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b94b/10217645/133741733d0e/entropy-25-00755-g001.jpg

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