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Bacteria spend most of their lifetime in non-growing states which allow them to survive extended periods of stress and starvation. When environments improve, they must quickly resume growth to maximize their share of limited nutrients. Cells with higher stress resistance often survive longer stress durations at the cost of needing more time to resume growth, a strong disadvantage in competitive environments. Here we analyze the basis of optimal strategies that microorganisms can use to cope with this tradeoff. We explicitly show that the prototypical inverse relation between stress resistance and growth rate can explain much of the different types of behavior observed in stressed microbial populations. Using analytical mathematical methods, we determine the environmental parameters that decide whether cells should remain vegetative upon stress exposure, downregulate their metabolism to an intermediate optimum level, or become dormant. We find that cell-cell variability, or intercellular noise, is consistently beneficial in the presence of extreme environmental fluctuations, and that it provides an efficient population-level mechanism for adaption in a deteriorating environment. Our results reveal key novel aspects of responsive phenotype switching and its role as an adaptive strategy in changing environments.
Time Factors, BIOCHEMISTRY AND MOLECULAR BIOLOGY, Science, Down-Regulation, bacterial persistence, changing environments, Environment, survival, Bacteris, Models, Biological, Stochastic processes, Stress, Physiological, Biological models, Stochastic Processes, Microbial Viability, Bacteria, MEDICINE, Q, R, starvation, Processos estocàstics, stress response, Models biològics, Estrès (Fisiologia), vibrio SP S14, AGRICULTURAL AND BIOLOGICAL SCIENCES, gene expression, Medicine, cell cycle, escherichia coli, protein, Stress (Physiology), Research Article
Time Factors, BIOCHEMISTRY AND MOLECULAR BIOLOGY, Science, Down-Regulation, bacterial persistence, changing environments, Environment, survival, Bacteris, Models, Biological, Stochastic processes, Stress, Physiological, Biological models, Stochastic Processes, Microbial Viability, Bacteria, MEDICINE, Q, R, starvation, Processos estocàstics, stress response, Models biològics, Estrès (Fisiologia), vibrio SP S14, AGRICULTURAL AND BIOLOGICAL SCIENCES, gene expression, Medicine, cell cycle, escherichia coli, protein, Stress (Physiology), Research Article
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 28 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
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