ArticleNature communications2025
Geographics and bacterial networks differently shape the acquired and latent global sewage resistomes.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 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
10 citing papers in PubMed.
- Plasmid-mediated antimicrobial resistance across One Health sectors: transmission dynamics and surveillance needs.mSphere · 2026Review
- Clarifying objectives to strengthen wastewater-based AMR surveillance.Nature microbiology · 2026Article
- Ecological Reassembly of the Milk Microbiome and Its Associated Resistome During the Dry Period in Dairy Cows.Veterinary sciences · 2026Article
- Article
- Assessing the Ecological Roles of Resistomes within Microbial Communities in Antibiotic-contaminated Ecosystems.Microbial ecology · 2026Review
- The trend and potential factors of the longitudinal antimicrobial resistance of Escherichia coli strains in recent decades worldwide.BMC microbiology · 2026Article
- Molecular Insights into Carbapenem Resistance inInternational journal of molecular sciences · 2026Review
- Antibiotics and priority effects on colonizing resistant Escherichia coli strain assemblages in a community setting.PloS one · 2026Article
- Geographics and bacterial networks differently shape the acquired and latent global sewage resistomes.Nature communications · 2025Article
- Antibiotic resistance selection and deselection in municipal wastewater from 47 countries.Nature communications · 2025Article
Corrections and comments
- Erratum issued
Authors and funding
12 authors.
Funding
Abstract
Antimicrobial resistance genes (ARGs) have rapidly emerged and spread globally, but the pathways driving their spread remain poorly understood. We analyzed 1240 sewage samples from 351 cities across 111 countries, comparing ARGs known to be mobilized with those identified through functional metagenomics (FG). FG ARGs showed stronger associations with bacterial taxa than the acquired ARGs. Network analyses further confirmed this and showed potential for source attribution of both known and novel ARGs. The FG resistome was more evenly dispersed globally, whereas the acquired resistome followed distinct geographical patterns. City-wise distance-decay analyses revealed that the FG ARGs showed significant decay within countries but not across regions or globally. In contrast, acquired ARGs showed decay at both national and regional scales. At the variant level, both ARG groups had significant national and regional distance-decay effects, but only FG ARGs at a global scale. Additionally, we observed stronger distance effects in Sub-Saharan Africa and East Asia compared to North America. Our findings suggest that differential selection and niche competition, rather than dispersal, shape the global resistome patterns. A limited number of bacterial taxa may act as reservoirs of latent FG ARGs, highlighting the need of targeted surveillance to mitigate future resistance threats.
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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.