Evidence map›Paper›PMID 42764294›Full record

ArticleNature communications2026

Systematic citywide analysis reveals ecological connectivity of antimicrobial resistance genes across urban water systems.

Huafeng Liu, Yuting Qi, Xingxing Zhang, Tong Zhang, Xu-Xiang Zhang, Liping Ma

Abstract read
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Huafeng LiuSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.
Yuting QiSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.
Xingxing ZhangSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China.
Tong ZhangEnvironmental Microbiome Engineering and Biotechnology Laboratory, The University of Hong Kong, Hong Kong SAR, China.ORCID http://orcid.org/0000-0003-1148-4322
Xu-Xiang ZhangState Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China. zhangxx@nju.edu.cn.
Liping MaSchool of Ecological and Environmental Sciences, East China Normal University, Shanghai, China. lpma@des.ecnu.edu.cn.ORCID http://orcid.org/0000-0002-1646-6767

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52470217
6 · The paper itself

Abstract

Antimicrobial resistance (AMR) in drinking water raises public health concerns, while its anthropogenic sources, transmission dynamics, and health risks remain poorly understood, hindering the development of effective strategies to reduce human exposure. Here we conduct a systematic investigation of anthropogenic contributions to AMR across urban water compartments in a megacity, combining metagenomics and culturomics. We identify 1,309 antibiotic resistance genes (ARGs), and tracking their dynamics across microbial communities and fecal Enterobacteriaceae isolates indicates that ecological connectivity establishes a cascading dissemination pathway: wastewater discharge promotes AMR accumulation in natural water bodies, facilitating its persistence in finished drinking water. Critical human-derived ARGs, primarily conferring resistance to beta-lactams and aminoglycosides, are enriched in clinically relevant pathogens. Further analysis reveals synergistic effects of biotic and abiotic drivers, including horizontal gene transfer (HGT), host proliferation, trace metals, disinfectants, and antibiotic residues, acting with connectivity to drive ARG proliferation. Mechanistic insights reveal that integron-mediated HGT captures and rearranges exogenous ARGs, thereby assembling multi-resistant genetic determinants along connected pathways. We establish a risk prioritization framework integrating dynamics, mobility, pathogenicity and clinical relevance to identify high-risk anthropogenic ARGs. These findings elucidate AMR transmission mechanisms via ecological connectivity, informing targeted interventions to disrupt transmission links and mitigate drinking water risks.

Indexed as

Drinking WaterDrug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialWater MicrobiologyAnti-Bacterial AgentsBacteriaCitiesEnterobacteriaceaeGene Transfer, HorizontalHumansIntegronsMetagenomicsWastewaterAnti-Bacterial AgentsDrinking WaterWastewater

Identifiers

PMID42764294
PMCPMC13590577

What OpenQuestion holds

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Registered trials

None linked

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.