ArticleNature ecology & evolution2019
Within-host dynamics shape antibiotic resistance in commensal bacteria.
Article in Nature ecology & evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 1 of them a synthesis that pooled it.
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Who cites it
45 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Implications of reducing antibiotic treatment duration for antimicrobial resistance in hospital settings: A modelling study and meta-analysis.PLoS medicine · 2023Pooled it
- Article
- Antimicrobial Resistance (AMR) Development Map: A Conceptual Map and a Tool to Support Economic Evaluation of AMR Interventions.Applied health economics and health policy · 2025Article
- Prediction of antibiotic resistance from antibiotic susceptibility testing results from surveillance data using machine learning.Scientific reports · 2025Article
- Quantifying the effects of antibiotic resistance and within-host competition on strain fitness in Streptococcus pneumoniae.PLoS biology · 2025Article
- Cost-effectiveness of screening, decolonisation and isolation strategies for carbapenem-resistant Enterobacterales and methicillin-resistantLancet regional health. Americas · 2025Article
- The evolution of antibiotic resistance in Europe, 1998-2019.PLoS pathogens · 2025Article
- Recent approaches in computational modelling for controlling pathogen threats.Life science alliance · 2024Review
- When does antimicrobial resistance increase bacterial fitness? Effects of dosing, social interactions, and frequency dependence on the benefits of AmpCEvolution letters · 2024Article
- Gut residentmedRxiv : the preprint server for health sciences · 2024Article
- Article
- Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China.Nature communications · 2024Article
- Within-Host Mathematical Models of Antibiotic Resistance.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Taxation of veterinary antibiotics to reduce antimicrobial resistance.One health (Amsterdam, Netherlands) · 2023Article
- Pneumococcal population dynamics: Investigating vaccine-induced changes through multiscale modelling.PLoS computational biology · 2023Article
- Increase in the community circulation of ciprofloxacin-resistant Escherichia coli despite reduction in antibiotic prescriptions.Communications medicine · 2023Article
- A stochastic analysis of the interplay between antibiotic dose, mode of action, and bacterial competition in the evolution of antibiotic resistance.PLoS computational biology · 2023Article
- Challenges in Forecasting Antimicrobial Resistance.Emerging infectious diseases · 2023Review
- Quantifying patient- and hospital-level antimicrobial resistance dynamics inmedRxiv : the preprint server for health sciences · 2023Article
- Increase in the Rate of Gut Carriage of Fluoroquinolone-Resistant Escherichia coli despite a Reduction in Antibiotic Prescriptions.Research square · 2023Article
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4 authors.
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Abstract
The spread of antibiotic resistance, a major threat to human health, is poorly understood. Simple population-level models of bacterial transmission predict that above a certain rate of antibiotic consumption in a population, resistant bacteria should completely eliminate non-resistant strains, while below this threshold they should be unable to persist at all. This prediction stands at odds with empirical evidence showing that resistant and non-resistant strains coexist stably over a wide range of antibiotic consumption rates. Not knowing what drives this long-term coexistence is a barrier to developing evidence-based strategies for managing the spread of resistance. Here, we argue that competition between resistant and sensitive pathogens within individual hosts gives resistant pathogens a relative fitness benefit when they are rare, promoting coexistence between strains at the population level. To test this hypothesis, we embed mechanistically explicit within-host dynamics in a structurally neutral pathogen transmission model. Doing so allows us to reproduce patterns of resistance observed in the opportunistic pathogens Escherichia coli and Streptococcus pneumoniae across European countries and to identify factors that may shape resistance evolution in bacteria by modulating the intensity and outcomes of within-host competition.
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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.