ArticleProceedings of the National Academy of Sciences of the United States of America2023
Effective bet-hedging through growth rate dependent stability.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Exploring bet-hedging inmSystems · 2026Article
- Single-cell approach dissecting agr quorum sensing dynamics in Staphylococcus aureus.Nature communications · 2026Article
- Bet-hedging via Kelly betting in a limited environment leads to logistic growth in the Game of Fitness.Scientific reports · 2026Article
- Differentiation between regulated and disrupted growth arrests allows tailoring of effective treatments for antibiotic persistence.Science advances · 2026Article
- Phenotypic heterogeneity in a batch culture of Chlamydomonas reinhardtii with different light tolerances.PloS one · 2026Article
- Information and fitness in two-state systems: self-replicating individuals in a fluctuating environment.ArXiv · 2025Article
- Bacteriophage-driven microbial phenotypic heterogeneity: ecological and biogeochemical importance.NPJ biofilms and microbiomes · 2025Review
- Growth rate controls the sensitivity of gene regulatory circuits.Science advances · 2025Article
- A tunable affinity fusion tag for protein self-assembly.bioRxiv : the preprint server for biology · 2025Article
- Single-cell heterogeneity in ribosome content and the consequences for the growth laws.bioRxiv : the preprint server for biology · 2024Article
- Artificial Intelligence to Close the Gap between Pharmacokinetic/Pharmacodynamic Targets and Clinical Outcomes in Critically Ill Patients: A Narrative Review on Beta Lactams.Antibiotics (Basel, Switzerland) · 2024Review
- Contributions of transcriptional noise to leukaemia evolution: KAT2A as a case-study.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Quantifying Dynamic Phenotypic Heterogeneity in Resistant Escherichia coli under Translation-Inhibiting Antibiotics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- A fast method to distinguish between fermentative and respiratory metabolisms in single yeast cells.iScience · 2024Article
- Bacterial memory in antibiotic resistance evolution and nanotechnology in evolutionary biology.iScience · 2023Review
- Dynamic proteome trade-offs regulate bacterial cell size and growth in fluctuating nutrient environments.Communications biology · 2023Article
Corrections and comments
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4 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Microbes in the wild face highly variable and unpredictable environments and are naturally selected for their average growth rate across environments. Apart from using sensory regulatory systems to adapt in a targeted manner to changing environments, microbes employ bet-hedging strategies where cells in an isogenic population switch stochastically between alternative phenotypes. Yet, bet-hedging suffers from a fundamental trade-off: Increasing the phenotype-switching rate increases the rate at which maladapted cells explore alternative phenotypes but also increases the rate at which cells switch out of a well-adapted state. Consequently, it is currently believed that bet-hedging strategies are effective only when the number of possible phenotypes is limited and when environments last for sufficiently many generations. However, recent experimental results show that gene expression noise generally decreases with growth rate, suggesting that phenotype-switching rates may systematically decrease with growth rate. Such growth rate dependent stability (GRDS) causes cells to be more explorative when maladapted and more phenotypically stable when well-adapted, and we show that GRDS can almost completely overcome the trade-off that limits bet-hedging, allowing for effective adaptation even when environments are diverse and change rapidly. We further show that even a small decrease in switching rates of faster-growing phenotypes can substantially increase long-term fitness of bet-hedging strategies. Together, our results suggest that stochastic strategies may play an even bigger role for microbial adaptation than hitherto appreciated.
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