Evidence map›Paper›PMID 40831636›Full record

ArticleFrontiers in microbiology2025

Mapping total microbial communities and waterborne pathogens in household drinking water in China by citizen science and metabarcoding.

Xinyi Wen, Chutong Fang, Lihan Huang, Jiazheng Miao, Yajuan Lin

Abstract read
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Article in Frontiers in microbiology, 2025. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xinyi WenDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, China.
Chutong FangDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, China.
Lihan HuangDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, China.
Jiazheng MiaoDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, China.
Yajuan LinDivision of Natural and Applied Science, Duke Kunshan University, Kunshan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Access to safe drinking water remains a critical public health priority, as waterborne diseases continue to pose global health risks. In China, microbial contamination in household water supplies is of particular concern. Traditional culture-based monitoring methods are limited in sensitivity and scope, and scaling such efforts nationwide would demand significant resources. Comprehensive, culture-independent microbiome assessments are therefore needed to better characterize microbial risks in tap water. Methods: To address this gap, we developed a cost-effective, citizen science-based approach for monitoring the tap water microbiome. Between December 2020 and August 2021, 50 household tap water samples were collected by volunteers across 19 provinces and regions in China, including several samples obtained before and/or after extreme weather events including the 2021 Henan Floods and Typhoon In-Fa. A low-biomass sampling protocol was developed and adopted, and DNA was extracted and analyzed via 16S rRNA gene metabarcoding targeting the V4 region. Results: Of the 50 samples, 22 were successfully amplified and yielded DNA with a significant number of sequencing reads. High-throughput amplicon sequencing identified 7,635 Amplicon Sequence Variants (ASVs), revealing a diverse microbiome in household tap water. Opportunistic pathogens, including Discussion: Although based on a limited number of sequenced samples, this study highlights potential microbial risks in household tap water, particularly following extreme weather events. The presence of multiple opportunistic and potentially pathogenic taxa underscores the limitations of traditional indicator-based monitoring. Our findings demonstrate the feasibility and scalability of citizen science for microbial water quality survey, offering a complementary tool for national monitoring and informing future public health strategies for water safety.

Indexed as

citizen sciencehousehold drinking watermetabarcodingmicrobial communitiestoolkitwaterborne pathogens

Identifiers

PMID40831636
PMCPMC12360266

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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.