ReviewFEMS microbiology reviews2020
Searching for principles of microbial physiology.
Review in FEMS microbiology reviews, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
58 citing papers in PubMed.
- A haloarchaeal VapBC toxin-antitoxin system: regulatory mechanism and role in establishing population heterogeneity to facilitate survival of subpopulations under stress conditions.Applied and environmental microbiology · 2026Article
- Cell geometry and membrane protein crowding constrain Escherichia coli growth rate, overflow metabolism, respiration, and maintenance energy.FEBS letters · 2026Article
- Regulatory and metabolic control of microbial biosynthetic gene clusters.Communications biology · 2026Review
- On the conditions for shifts in metabolic strategies.PLoS computational biology · 2026Review
- Heterologous expression ofEngineering microbiology · 2026Article
- Stoichiometric analysis of microbial communities links function, structure, and biomass carrying capacity.The ISME journal · 2026Review
- The lipoprotein biosynthesis pathway: key to OXA-mediated carbapenem resistance inAntimicrobial agents and chemotherapy · 2025Article
- Article
- Cell Geometry and Membrane Protein Crowding Constrain Growth Rate, Overflow Metabolism, Respiration, and Maintenance Energy.bioRxiv : the preprint server for biology · 2025Article
- Systematic modulation of bacterial resource allocation by perturbing RNA polymerase availability via synthetic transcriptional switches.Nucleic acids research · 2025Article
- A mismatch between slow protein synthesis and fast environmental fluctuations determines tradeoffs in bacterial proteome allocation strategies.bioRxiv : the preprint server for biology · 2025Article
- A Trade-off between Force and Flow May Lead to Reduced Entropy Production Rate during Faster Microbial Growth.The journal of physical chemistry. B · 2025Article
- Phosphoproteomics analysis of acid stress response of Alicyclobacillus acidoterrestris in response to acid stress.Applied microbiology and biotechnology · 2025Article
- Algebraic differentiation for fast sensitivity analysis of optimal flux modes in metabolic models.Bioinformatics (Oxford, England) · 2025Article
- Distantly related bacteria share a rigid proteome allocation strategy with flexible enzyme kinetics.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Exploring Yeast's Energy Dynamics: The General Stress Response Lowers Maintenance Energy Requirement.Microbial biotechnology · 2025Article
- Carbon upshift inmBio · 2025Article
- The type of carbon source not the growth rate it supports can determine diauxie in Saccharomyces cerevisiae.Communications biology · 2025Article
- The design of unit cells by combining the self-reproduction systems and metabolic cushioning loads.Communications biology · 2025Article
- Individual-based modeling unravels spatial and social interactions in bacterial communities.The ISME journal · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Why do evolutionarily distinct microorganisms display similar physiological behaviours? Why are transitions from high-ATP yield to low(er)-ATP yield metabolisms so widespread across species? Why is fast growth generally accompanied with low stress tolerance? Do these regularities occur because most microbial species are subject to the same selective pressures and physicochemical constraints? If so, a broadly-applicable theory might be developed that predicts common microbiological behaviours. Microbial systems biologists have been working out the contours of this theory for the last two decades, guided by experimental data. At its foundations lie basic principles from evolutionary biology, enzyme biochemistry, metabolism, cell composition and steady-state growth. The theory makes predictions about fitness costs and benefits of protein expression, physicochemical constraints on cell growth and characteristics of optimal metabolisms that maximise growth rate. Comparisons of the theory with experimental data indicates that microorganisms often aim for maximisation of growth rate, also in the presence of stresses; they often express optimal metabolisms and metabolic proteins at optimal concentrations. This review explains the current status of the theory for microbiologists; its roots, predictions, experimental evidence and future directions.
Indexed as
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What OpenQuestion holds
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.