ReviewiScience2025
An eco-evolutionary perspective on antimicrobial resistance in the context of One Health.
Review in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Predicting resistance evolution to guide antibiotic development.Nature reviews. Microbiology · 2026Review
- Article
- Modelling the role of the microbiome in antimicrobial resistance across scales.Nature microbiology · 2026Review
- Eco-Geography Reverses Dominant AMR Reservoirs in Klebsiella pneumoniae: Integron-Rich Mobilomes and Cross-Niche Connectivity.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Recent insights into actinobacteria research in antimicrobial resistance: a review.Molecular biology reports · 2025Review
- The Prevalence of Antimicrobial Resistance Genes in the Environments of Small Ruminant Farms from Central Portugal.Antibiotics (Basel, Switzerland) · 2025Article
- Antimicrobial and Metal Resistance Genes in Bacteria Isolated from Mine Water in Austria.Antibiotics (Basel, Switzerland) · 2025Article
- ARGContextProfiler: extracting and scoring the genomic contexts of antibiotic resistance genes using assembly graphs.Frontiers in microbiology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The One Health approach musters growing concerns about antimicrobial resistance due to the increased use of antibiotics in healthcare and agriculture, with all of its consequences for human, livestock, and environmental health. In this perspective, we explore the current knowledge on how interactions at different levels of biological organization, from genetic to ecological interactions, affect the evolution of antimicrobial resistance. We discuss their role in different contexts, from natural systems with weak selection, to human-influenced environments that impose a strong pressure toward antimicrobial resistance evolution. We emphasize the need for an eco-evolutionary approach within the One Health framework and highlight the importance of horizontal gene transfer and microbiome interactions for increased understanding of the emergence and spread of antimicrobial resistance.
Indexed as
Identifiers
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.