Evidence map›Paper›PMID 41883376›Full record

ArticleEnvironment & health (Washington, D.C.)2026

Resistance Gene Dynamics, Biogeochemical Coupling, and Ecological Risks in Sediments of Anthropogenically Impacted Lake Wetlands in China.

Chengzhi Mao, Yunfeng Wang, Xinghao Li, Qiaoyi Kong, Saleh A Al-Farraj, Elvis Genbo Xu, Hans-Peter Grossart, Jie Huang, Weibo Song

Abstract read
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In one paragraph

Article in Environment & health (Washington, D.C.), 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

9 authors.

Chengzhi MaoState Key Laboratory of Lake and Watershed Science for Water Security, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
Yunfeng WangSchool of Ocean, Yantai University, Yantai 264005, China.
Xinghao LiHubei Key Laboratory of Regional Development and Environmental Response, Hubei University, Wuhan 430062, China.
Qiaoyi KongState Key Laboratory of Lake and Watershed Science for Water Security, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.
Saleh A Al-FarrajZoology Department, College of Science, King Saud University, Riyadh 11451, Saudi Arabia.
Elvis Genbo XuDepartment of Biology, University of Southern Denmark, Odense 5230, Denmark.ORCID https://orcid.org/0000-0002-4414-1978
Hans-Peter GrossartLeibniz Institute of Freshwater Ecology and Inland Fisheries, Department of Plankton and Microbial Ecology, Stechlin 16775, Germany.
Jie HuangState Key Laboratory of Lake and Watershed Science for Water Security, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China.ORCID https://orcid.org/0000-0003-1739-1856
Weibo SongMOE Key Laboratory of Evolution & Marine Biodiversity and Institute of Evolution & Marine Biodiversity, Ocean University of China, Qingdao 266003, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibiotic resistance is a growing global threat to both public health and ecosystem stability. While the "One Health" framework emphasizes the need to monitor antibiotic resistance genes (ARGs) across diverse environments worldwide, the risks posed by ARGs in lakes affected by human activities, particularly in lake sediments that serve as natural reservoirs of ARGs, remain poorly understood. Metagenomics enables culture-independent analysis of microbial communities and resistance genes, providing essential insights into ARG dynamics. This study investigates microbial communities, ARGs, metal resistance genes (MRGs), and mobile genetic elements (MGEs) in sediments from Lake Donghu and Lake Weishan in China, two contrasting lake ecosystems subject to urbanization and agricultural activities for over four decades, using high-throughput metagenomic sequencing and assembly. ARGs and MRGs were more strongly influenced by deterministic environmental factors, particularly heavy metals (Cd, Pb, Cu), whereas microbial community structures were predominantly shaped by stochastic processes. Metagenomic binning yielded 293 metagenome-assembled genomes (MAGs), 125 of which were identified as potential ARG hosts, with Proteobacteria and Desulfobacterota being the most common. These hosts frequently cocarried MGEs, virulence factor genes (VFGs), and MRGs and exhibited metabolic pathways linked to carbon, nitrogen, and greenhouse gas (CO

Indexed as

Anthropogenic impactAntibiotic resistance genesBacterial diversityEnvironmental and health risksMetagenomicsSediment samples

Identifiers

PMID41883376
PMCPMC13010296

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Registered trials

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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.