ArticlePLoS computational biology2020
Modeling microbial metabolic trade-offs in a chemostat.
Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed.
- Minimizing co-growth as a broad predictor of community robustness.bioRxiv : the preprint server for biology · 2026Article
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- Bayesian inference captures metabolite-bacteria interactions in a microbial community.ISME communications · 2026Article
- Strain displacement in microbiomes via ecological competition.Nature microbiology · 2025Article
- Coexistence rules for small, antagonistically interacting microbial communities.PLoS computational biology · 2025Article
- Thermodynamics of Darwinian selection in molecular replicators.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025Article
- Resource-use plasticity governs the causal relationship between traits and community structure in model microbial communities.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Metabolic ecology of microbiomes: Nutrient competition, host benefits, and community engineering.Cell host & microbe · 2025Review
- Forging the iron-net: Towards a quantitative understanding of microbial communities via siderophore-mediated interactions.Quantitative biology (Beijing, China) · 2025Article
- Biodiversity is enhanced by sequential resource utilization and environmental fluctuations via emergent temporal niches.PLoS computational biology · 2024Article
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- 'Social' versus 'asocial' cells-dynamic competition flux balance analysis.NPJ systems biology and applications · 2023Article
- Geometry of ecological coexistence and niche differentiation.Physical review. E · 2023Article
- Siderophore-mediated iron partition promotes dynamical coexistence between cooperators and cheaters.iScience · 2023Article
- Resource competition can explain simplicity in microbial community assembly.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Assumptions on decision making and environment can yield multiple steady states in microbial community models.BMC bioinformatics · 2023Article
- Geometry of ecological coexistence and niche differentiation.bioRxiv : the preprint server for biology · 2023Article
- Biotechnology Data Analysis Training with Jupyter Notebooks.Journal of microbiology & biology education · 2023Article
- Article
- Models for Gut-Mediated Horizontal Gene Transfer by Bacterial Plasmid Conjugation.Frontiers in microbiology · 2022Review
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
Microbes face intense competition in the natural world, and so need to wisely allocate their resources to multiple functions, in particular to metabolism. Understanding competition among metabolic strategies that are subject to trade-offs is therefore crucial for deeper insight into the competition, cooperation, and community assembly of microorganisms. In this work, we evaluate competing metabolic strategies within an ecological context by considering not only how the environment influences cell growth, but also how microbes shape their chemical environment. Utilizing chemostat-based resource-competition models, we exhibit a set of intuitive and general procedures for assessing metabolic strategies. Using this framework, we are able to relate and unify multiple metabolic models, and to demonstrate how the fitness landscape of strategies becomes intrinsically dynamic due to species-environment feedback. Such dynamic fitness landscapes produce rich behaviors, and prove to be crucial for ecological and evolutionarily stable coexistence in all the models we examined.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.