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Controlling the Mean Time to Extinction in Populations of Bacteria

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 m...

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Autores principales: Thakur, Bhumika, Meyer-Ortmanns, Hildegard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217645/
https://www.ncbi.nlm.nih.gov/pubmed/37238510
http://dx.doi.org/10.3390/e25050755
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author Thakur, Bhumika
Meyer-Ortmanns, Hildegard
author_facet Thakur, Bhumika
Meyer-Ortmanns, Hildegard
author_sort Thakur, Bhumika
collection PubMed
description 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.
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spelling pubmed-102176452023-05-27 Controlling the Mean Time to Extinction in Populations of Bacteria Thakur, Bhumika Meyer-Ortmanns, Hildegard Entropy (Basel) Article 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. MDPI 2023-05-05 /pmc/articles/PMC10217645/ /pubmed/37238510 http://dx.doi.org/10.3390/e25050755 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Thakur, Bhumika
Meyer-Ortmanns, Hildegard
Controlling the Mean Time to Extinction in Populations of Bacteria
title Controlling the Mean Time to Extinction in Populations of Bacteria
title_full Controlling the Mean Time to Extinction in Populations of Bacteria
title_fullStr Controlling the Mean Time to Extinction in Populations of Bacteria
title_full_unstemmed Controlling the Mean Time to Extinction in Populations of Bacteria
title_short Controlling the Mean Time to Extinction in Populations of Bacteria
title_sort controlling the mean time to extinction in populations of bacteria
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10217645/
https://www.ncbi.nlm.nih.gov/pubmed/37238510
http://dx.doi.org/10.3390/e25050755
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