ArticleProceedings of the National Academy of Sciences of the United States of America2023
Tradeoffs in bacterial physiology determine the efficiency of antibiotic killing.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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Who cites it
20 citing papers in PubMed, 27 citations in OpenAlex.
- Application of antibiotics for the selective isolation of previously uncultured species from activated sludge.Microbiology spectrum · 2026Article
- A Concept Using α-Niche Evolution Within Bacterial Communities to Direct β-Niche Evolution of Focal Species.Environmental microbiology · 2026Article
- A nutrient bottleneck controls antibiotic efficacy in structured bacterial populations.Nature communications · 2026Article
- Higher levels of antibiotic resistance are less competitive: the hidden ecological cost of no-metabolic cost resistance.bioRxiv : the preprint server for biology · 2025Article
- Reinforcement learning for adaptive control of phenotypically heterogeneous bacterial populations.bioRxiv : the preprint server for biology · 2025Article
- Principles of bacteriostatic and bactericidal antibiotics at subinhibitory concentrations.mBio · 2025Article
- Chloroquine Alone and Combined with Antifungal Drug Against Candida albicans Biofilms In Vitro and In Vivo via Autophagy Inhibition.Mycopathologia · 2025Article
- Staphylococcus aureus COL: An Atypical Model Strain of MRSA That Exhibits Slow Growth and Antibiotic Tolerance due to a Mutation in PRPP Synthetase.Molecular microbiology · 2025Article
- Adaptive Tolerance of Listeria monocytogenes to Chemical Oxidants: Comparative Analysis of Transcriptomic Studies.Comprehensive reviews in food science and food safety · 2025Review
- The impact of bacterial purine metabolism on antibiotic efficacy.npj antimicrobials and resistance · 2025Review
- Translating microbial kinetics into quantitative responses and testable hypotheses using Kinbiont.Nature communications · 2025Article
- The role of bacterial metabolism in antimicrobial resistance.Nature reviews. Microbiology · 2025Review
- Deciphering and steering population-level response under spatial drug heterogeneity on microhabitat structures.bioRxiv : the preprint server for biology · 2025Article
- Antifungal effects of Metformin against Candida albicans by autophagy regulation.Journal of microbiology (Seoul, Korea) · 2025Article
- Antibiotic-mediated microbial community restructuring is dictated by variability in antibiotic-induced lysis rates and population interactions.Nature communications · 2025Article
- Antibiotics change the population growth rate heterogeneity and morphology of bacteria.PLoS pathogens · 2025Article
- An ecological and stochastic perspective on persisters resuscitation.Computational and structural biotechnology journal · 2025Article
- Antibiotic tolerance among clinical isolates: mechanisms, detection, prevalence, and significance.Clinical microbiology reviews · 2024Review
- Gene expression tradeoffs determine bacterial survival and adaptation to antibiotic stress.bioRxiv : the preprint server for biology · 2024Article
- Article
Corrections and comments
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Authors and funding
5 authors at 2 institutions in 2 countries.
Funding
Abstract
Antibiotic effectiveness depends on a variety of factors. While many mechanistic details of antibiotic action are known, the connection between death rate and bacterial physiology is poorly understood. A common observation is that death rate in antibiotics rises linearly with growth rate; however, it remains unclear how other factors, such as environmental conditions and whole-cell physiological properties, affect bactericidal activity. To address this, we developed a high-throughput assay to precisely measure antibiotic-mediated death. We found that death rate is linear in growth rate, but the slope depends on environmental conditions. Growth under stress lowers death rate compared to nonstressed environments with similar growth rate. To understand stress's role, we developed a mathematical model of bacterial death based on resource allocation that includes a stress-response sector; we identify this sector using RNA-seq. Our model accurately predicts the minimal inhibitory concentration (MIC) with zero free parameters across a wide range of growth conditions. The model also quantitatively predicts death and MIC when sectors are experimentally modulated using cyclic adenosine monophosphate (cAMP), including protection from death at very low cAMP levels. The present study shows that different conditions with equal growth rate can have different death rates and establishes a quantitative relation between growth, death, and MIC that suggests approaches to improve antibiotic efficacy.
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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.