Evidence map›Paper›PMID 42182035›Full record

ArticleFrontiers in microbiology2026

Concordance between environmental resistomes and pathogenic phenotypes: a case study of multidrug-resistant

Wanning Qian, Ao Han, Abdullah M S Al Hatmi, Yanyan Wang, Muhammad Rafiq, Guzhen Cui, Shaoqin Zhou, Shijun Li, Yingqian Kang

Abstract read
In one paragraph

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

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Wanning Qian *Key Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang, China.
Ao Han *Key Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang, China.
Abdullah M S Al HatmiNatural & Medical Sciences Research Center, University of Nizwa, Nizwa, Oman.
Yanyan WangGuizhou Key Laboratory of Microbiome and Infectious Disease Prevention, Institution of One Health Research, Guizhou Medical University, Guiyang, China.
Muhammad RafiqGuizhou Key Laboratory of Microbiome and Infectious Disease Prevention, Institution of One Health Research, Guizhou Medical University, Guiyang, China.
Guzhen CuiGuizhou Key Laboratory of Microbiome and Infectious Disease Prevention, Institution of One Health Research, Guizhou Medical University, Guiyang, China.
Shaoqin ZhouKey Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang, China.
Shijun LiKey Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang, China.
Yingqian KangKey Laboratory of Environmental Pollution Monitoring and Disease Control, School of Public Health, Ministry of Education, Guizhou Medical University, Guiyang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The persistence of antibiotic resistance in aquatic environments poses a public health concern, particularly when drinking water sources act as reservoirs for multidrug-resistant opportunistic pathogens. However, the linkage between environmental resistomes and the resistance phenotypes of cultivable bacteria remains under-characterized. This case study investigated this relationship in a karst drinking water source in Guizhou, China. Methods: Surface water samples from seven sites were analyzed for antibiotic residues using LC-MS/MS. Metagenomic sequencing was conducted on selected contamination hotspots to characterize microbial communities and antibiotic resistance genes (ARGs). Cultivable bacteria were isolated, identified via 16S rRNA sequencing, and tested for antimicrobial susceptibility. To validate resistance mechanisms, a multidrug-resistant Results: Antibiotic residues were detected across all sites, with sulfonamides and tetracyclines being the most prevalent. Consistent with this chemical pressure, metagenomic analysis identified corresponding ARGs, including Discussion: These findings demonstrate a concordance among chemical selection pressures, environmental resistomes, and active resistance phenotypes. The results indicate that drinking water sources can harbor and maintain clinically relevant resistant bacteria, supporting the implementation of integrated surveillance strategies to evaluate biological risks.

Indexed as

antibiotic resistanceantibiotic resistance genesdrinking water sourcesKlebsiella pneumoniaemetagenomics

Identifiers

PMID42182035
PMCPMC13190385

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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.