ArticleProceedings. Biological sciences2018
Trade-offs between microbial growth phases lead to frequency-dependent and non-transitive selection.
Article in Proceedings. Biological sciences, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Environment-dependent epistasis shapes adaptation to fluctuating resources.bioRxiv : the preprint server for biology · 2026Article
- Dynamic coexistence driven by physiological transitions in microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Trait and plasticity evolution under competition and mutualism in evolving pairwise yeast communities.PloS one · 2025Article
- Frequent asymmetric migrations suppress natural selection in spatially structured populations.PNAS nexus · 2023Article
- Microbial population dynamics decouple growth response from environmental nutrient concentration.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Exploring the expanse between theoretical questions and experimental approaches in the modern study of evolvability.Journal of experimental zoology. Part B, Molecular and developmental evolution · 2023Article
- Diauxic lags explain unexpected coexistence in multi-resource environments.Molecular systems biology · 2022Article
- Evolutionary stalling and a limit on the power of natural selection to improve a cellular module.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Evolution of Microbial Growth Traits Under Serial Dilution.Genetics · 2020Article
- Collateral fitness effects of mutations.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Dynamic metabolic adaptation can promote species coexistence in competitive microbial communities.PLoS computational biology · 2020Article
- Coexistence and cooperation in structured habitats.BMC ecology · 2020Article
- Trusting the hand that feeds: microbes evolve to anticipate a serial transfer protocol as individuals or collectives.BMC evolutionary biology · 2019Article
- Time Series Genome-Centric Analysis Unveils Bacterial Response to Operational Disturbance in Activated Sludge.mSystems · 2019Article
- Disentangling bacterial invasiveness from lethality in an experimental host-pathogen system.Molecular systems biology · 2019Article
- Mortality causes universal changes in microbial community composition.Nature communications · 2019Article
- Growth tradeoffs produce complex microbial communities on a single limiting resource.Nature communications · 2018Article
- Optimization of lag phase shapes the evolution of a bacterial enzyme.Nature ecology & evolution · 2017Article
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3 authors.
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Abstract
Mutations in a microbial population can increase the frequency of a genotype not only by increasing its exponential growth rate, but also by decreasing its lag time or adjusting the yield (resource efficiency). The contribution of multiple life-history traits to selection is a critical question for evolutionary biology as we seek to predict the evolutionary fates of mutations. Here we use a model of microbial growth to show that there are two distinct components of selection corresponding to the growth and lag phases, while the yield modulates their relative importance. The model predicts rich population dynamics when there are trade-offs between phases: multiple strains can coexist or exhibit bistability due to frequency-dependent selection, and strains can engage in rock-paper-scissors interactions due to non-transitive selection. We characterize the environmental conditions and patterns of traits necessary to realize these phenomena, which we show to be readily accessible to experiments. Our results provide a theoretical framework for analysing high-throughput measurements of microbial growth traits, especially interpreting the pleiotropy and correlations between traits across mutants. This work also highlights the need for more comprehensive measurements of selection in simple microbial systems, where the concept of an ordinary fitness landscape breaks down.
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