ArticlePLoS computational biology2020
A steady-state model of microbial acclimation to substrate limitation.
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 6 papers.
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Who cites it
6 citing papers in PubMed.
- Bayesian inference captures metabolite-bacteria interactions in a microbial community.ISME communications · 2026Article
- Nutrient colimitation is a quantitative, dynamic property of microbial populations.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Saturating growth rate against phosphorus concentration explained by macromolecular allocation.mSystems · 2023Article
- Impact of Microbial Uptake on the Nutrient Plume around Marine Organic Particles: High-Resolution Numerical Analysis.Microorganisms · 2022Article
- Basin-scale biogeography of marine phytoplankton reflects cellular-scale optimization of metabolism and physiology.Science advances · 2022Article
- Saturating relationship between phytoplankton growth rate and nutrient concentration explained by macromolecular allocation.Current research in microbial sciences · 2022Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Microbes acclimate to changes in substrate availability by altering the number of transporters on the cell surface, however there is some disagreement on just how. We revisit the physics of substrate uptake and consider the steady-state scenario whereby cells have acclimated to maximize fitness. Flux balance analysis of a stoichiometric model of Escherichia coli was used in conjunction with quantitative proteomics data and molecular modeling of membrane transporters to reconcile these opposing views. An emergent feature of the proposed model is a critical substrate concentration S*, which delineates two rate limits. At concentrations above S*, transporter abundance can be regulated to maintain uptake rates as demanded by maximal growth rates, whereas below S*, uptake rates are strictly diffusion limited. In certain scenarios, the proposed model can take on a qualitatively different shape from the familiar hyperbolic kinetics curves, instead resembling the long-forgotten Blackman kinetics.
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Registered trials
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