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Phenotypic Switching Can Speed up Microbial Evolution
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DOI：10.1038/s41598-018-27095-9.png)
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摘要
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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.
Keyword:
ANTIBIOTIC-RESISTANCE
PSEUDOMONAS-AERUGINOSA
BACTERIAL PERSISTENCE
STOCHASTIC SIMULATION
EPIGENETIC MUTATIONS
ESCHERICHIA-COLI
HETEROGENEITY
POPULATIONS
ADAPTATION
PREDICTABILITY
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IF:
3.9
论文数:
28.0W
被引数:
83.5W
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Effects of population size and mutation rate on the evolution of mutational robustness.png)
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