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通过公民科学和宏条形码技术对中国家庭饮用水中的总微生物群落和水传播病原体进行测绘。

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

作者信息

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

机构信息

Division of Natural and Applied Science, Duke Kunshan University, Kunshan, China.

Nicholas School of the Environment, Duke University, Durham, NC, United States.

出版信息

Front Microbiol. 2025 Aug 4;16:1609070. doi: 10.3389/fmicb.2025.1609070. eCollection 2025.

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 , , and , were detected in all PCR-positive samples. Alarmingly, post-typhoon samples from Changzhou showed a marked increase in the relative abundance of .

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.

摘要

引言

由于水源性疾病持续构成全球健康风险,获取安全饮用水仍然是一项关键的公共卫生优先事项。在中国,家庭供水的微生物污染尤其令人担忧。传统的基于培养的监测方法在灵敏度和范围上存在局限性,在全国范围内推广此类工作需要大量资源。因此,需要进行全面的、不依赖培养的微生物群落评估,以更好地描述自来水中的微生物风险。

方法

为了弥补这一差距,我们开发了一种具有成本效益的、基于公民科学的方法来监测自来水微生物群落。在2020年12月至2021年8月期间,志愿者在中国19个省和地区收集了50份家庭自来水样本,包括在2021年河南洪水和台风烟花等极端天气事件之前和/或之后获取的一些样本。制定并采用了低生物量采样方案,并通过靶向V4区域的16S rRNA基因宏条形码技术提取和分析DNA。

结果

在50个样本中,22个成功扩增并产生了具有大量测序读数的DNA。高通量扩增子测序鉴定出7635个扩增子序列变体(ASV),揭示了家庭自来水中多样的微生物群落。在所有PCR阳性样本中均检测到了包括[此处原文缺失具体病原体名称]在内的机会性病原体。令人担忧的是,常州的台风后样本显示[此处原文缺失具体病原体名称]的相对丰度显著增加。

讨论

尽管本研究基于数量有限的测序样本,但突出了家庭自来水中潜在的微生物风险,尤其是在极端天气事件之后。多种机会性和潜在致病类群的存在凸显了传统基于指标的监测的局限性。我们的研究结果证明了公民科学在微生物水质调查中的可行性和可扩展性,为国家监测提供了一种补充工具,并为未来的水安全公共卫生战略提供信息。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fdc/12360266/c2efdb973bd6/fmicb-16-1609070-g001.jpg

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