ArticlePLoS computational biology2020
Elementary Growth Modes provide a molecular description of cellular self-fabrication.
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 17 papers.
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17 citing papers in PubMed.
- Enzyme kinetics shapes the growth response of metabolic networks.PLoS computational biology · 2026Article
- Emergent Homeostasis and Degeneracy From Multi-Dimensional Attractors.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Engineering robustSynthetic and systems biotechnology · 2025Article
- Carbon upshift inmBio · 2025Article
- Mathematical properties of optimal fluxes in cellular reaction networks at balanced growth.PLoS computational biology · 2023Article
- Resource allocation accounts for the large variability of rate-yield phenotypes across bacterial strains.eLife · 2023Article
- Shaping bacterial gene expression by physiological and proteome allocation constraints.Nature reviews. Microbiology · 2023Review
- Elementary vectors and autocatalytic sets for resource allocation in next-generation models of cellular growth.PLoS computational biology · 2022Article
- Intelligent host engineering for metabolic flux optimisation in biotechnology.The Biochemical journal · 2021Review
- Hierarchical and simultaneous utilization of carbon substrates: mechanistic insights, physiological roles, and ecological consequences.Current opinion in microbiology · 2021Review
- Understanding and mathematical modelling of cellular resource allocation in microorganisms: a comparative synthesis.BMC bioinformatics · 2021Review
- From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions.Molecular systems biology · 2021Article
- Understanding FBA Solutions under Multiple Nutrient Limitations.Metabolites · 2021Article
- Bacterial cell proliferation: from molecules to cells.FEMS microbiology reviews · 2021Review
- Searching for principles of microbial physiology.FEMS microbiology reviews · 2020Review
- An analytical theory of balanced cellular growth.Nature communications · 2020Article
- The common message of constraint-based optimization approaches: overflow metabolism is caused by two growth-limiting constraints.Cellular and molecular life sciences : CMLS · 2020Review
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5 authors.
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Abstract
In this paper we try to describe all possible molecular states (phenotypes) for a cell that fabricates itself at a constant rate, given its enzyme kinetics and the stoichiometry of all reactions. For this, we must understand the process of cellular growth: steady-state self-fabrication requires a cell to synthesize all of its components, including metabolites, enzymes and ribosomes, in proportions that match its own composition. Simultaneously, the concentrations of these components affect the rates of metabolism and biosynthesis, and hence the growth rate. We here derive a theory that describes all phenotypes that solve this circular problem. All phenotypes can be described as a combination of minimal building blocks, which we call Elementary Growth Modes (EGMs). EGMs can be used as the theoretical basis for all models that explicitly model self-fabrication, such as the currently popular Metabolism and Expression models. We then use our theory to make concrete biological predictions. We find that natural selection for maximal growth rate drives microorganisms to states of minimal phenotypic complexity: only one EGM will be active when growth rate is maximised. The phenotype of a cell is only extended with one more EGM whenever growth becomes limited by an additional biophysical constraint, such as a limited solvent capacity of a cellular compartment. The theory presented here extends recent results on Elementary Flux Modes: the minimal building blocks of cellular growth models that lack the self-fabrication aspect. Our theory starts from basic biochemical and evolutionary considerations, and describes unicellular life, both in growth-promoting and in stress-inducing environments, in terms of EGMs.
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