Phenotypic Switching Can Speed up Microbial Evolution
Abstract Stochastic phenotype switching has been suggested to play a beneficial role in microbial populations by leading to the division of labour among cells, or ensuring that at least some of the population survives an unexpected change in environmental conditions. Here we use a computational mode...
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Nature Portfolio
2018
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oai:doaj.org-article:122cdf6f562c4d23854e2474bd0d039c2021-12-02T15:08:38ZPhenotypic Switching Can Speed up Microbial Evolution10.1038/s41598-018-27095-92045-2322https://doaj.org/article/122cdf6f562c4d23854e2474bd0d039c2018-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-27095-9https://doaj.org/toc/2045-2322Abstract Stochastic phenotype switching has been suggested to play a beneficial role in microbial populations by leading to the division of labour among cells, or ensuring that at least some of the population survives an unexpected change in environmental conditions. Here we use a computational model to investigate an alternative possible function of stochastic phenotype switching: as a way to adapt more quickly even in a static environment. We show that when a genetic mutation causes a population to become less fit, switching to an alternative phenotype with higher fitness (growth rate) may give the population enough time to develop compensatory mutations that increase the fitness again. The possibility of switching phenotypes can reduce the time to adaptation by orders of magnitude if the “fitness valley” caused by the deleterious mutation is deep enough. Our work has important implications for the emergence of antibiotic-resistant bacteria. In line with recent experimental findings, we hypothesise that switching to a slower growing — but less sensitive — phenotype helps bacteria to develop resistance by providing alternative, faster evolutionary routes to resistance.Andrew C. TadrowskiMartin R. EvansBartlomiej WaclawNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-10 (2018) |
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Medicine R Science Q Andrew C. Tadrowski Martin R. Evans Bartlomiej Waclaw Phenotypic Switching Can Speed up Microbial Evolution |
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Abstract Stochastic phenotype switching has been suggested to play a beneficial role in microbial populations by leading to the division of labour among cells, or ensuring that at least some of the population survives an unexpected change in environmental conditions. Here we use a computational model to investigate an alternative possible function of stochastic phenotype switching: as a way to adapt more quickly even in a static environment. We show that when a genetic mutation causes a population to become less fit, switching to an alternative phenotype with higher fitness (growth rate) may give the population enough time to develop compensatory mutations that increase the fitness again. The possibility of switching phenotypes can reduce the time to adaptation by orders of magnitude if the “fitness valley” caused by the deleterious mutation is deep enough. Our work has important implications for the emergence of antibiotic-resistant bacteria. In line with recent experimental findings, we hypothesise that switching to a slower growing — but less sensitive — phenotype helps bacteria to develop resistance by providing alternative, faster evolutionary routes to resistance. |
format |
article |
author |
Andrew C. Tadrowski Martin R. Evans Bartlomiej Waclaw |
author_facet |
Andrew C. Tadrowski Martin R. Evans Bartlomiej Waclaw |
author_sort |
Andrew C. Tadrowski |
title |
Phenotypic Switching Can Speed up Microbial Evolution |
title_short |
Phenotypic Switching Can Speed up Microbial Evolution |
title_full |
Phenotypic Switching Can Speed up Microbial Evolution |
title_fullStr |
Phenotypic Switching Can Speed up Microbial Evolution |
title_full_unstemmed |
Phenotypic Switching Can Speed up Microbial Evolution |
title_sort |
phenotypic switching can speed up microbial evolution |
publisher |
Nature Portfolio |
publishDate |
2018 |
url |
https://doaj.org/article/122cdf6f562c4d23854e2474bd0d039c |
work_keys_str_mv |
AT andrewctadrowski phenotypicswitchingcanspeedupmicrobialevolution AT martinrevans phenotypicswitchingcanspeedupmicrobialevolution AT bartlomiejwaclaw phenotypicswitchingcanspeedupmicrobialevolution |
_version_ |
1718388043129290752 |