School of Ecological and Environmental Sciences, East China Normal University, Shanghai, China; Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong Special Administrative Region, China; Technology Innovation Center for Land Spatial Eco-restoration in Metropolitan Area, Ministry of Natural Resources, Shanghai, China.
Environmental Microbiome Engineering and Biotechnology Laboratory, Center for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong Special Administrative Region, China.
Water Res. 2022 May 15;215:118238. doi: 10.1016/j.watres.2022.118238. Epub 2022 Feb 26.
Drinking water at the point of use harbors microorganisms that may pose potential risks to human health. However, the microbial diversity and health impacts of household drinking water are poorly understood, since culture-based methods only target on specific microorganisms and low biomass of drinking water hinders a high-throughput profiling. Here, we used an optimized workflow to efficiently collect microorganisms from low-biomass drinking water and performed deep sequencing of 16S rRNA genes to profile the bacterial diversity and biogeography of 110 household drinking water samples covering 38 cities of 29 provinces/regions in China, and further explored environmental drivers and potential health implications. Our analyses revealed a diverse drinking water community comprising a total of 22,771 operational taxonomic units (OTUs). The spatial turnover of drinking water communities is scale-dependent and appears to be driven largely by rainfall and water source river. The identified potential pathogenic species may have the possibility of causing health risks. Our novel insights enhance the current understanding of the diversity and biogeography of drinking water bacterial communities within a theoretical ecological framework and have further important implications for safe drinking water management and public health protection.
在用水点饮用水中存在可能对人类健康造成潜在风险的微生物。然而,由于基于培养的方法仅针对特定的微生物,并且饮用水的低生物量阻碍了高通量分析,因此家庭饮用水的微生物多样性和健康影响仍不清楚。在这里,我们使用优化的工作流程从低生物量饮用水中高效收集微生物,并对 110 个家庭饮用水样本的 16S rRNA 基因进行深度测序,以分析中国 29 个省/地区的 38 个城市的饮用水样本中的细菌多样性和生物地理学,并进一步探索环境驱动因素和潜在的健康影响。我们的分析揭示了一个多样化的饮用水群落,共包含 22771 个操作分类单元(OTU)。饮用水群落的空间转换具有尺度依赖性,似乎主要由降雨和水源河流驱动。所鉴定的潜在致病物种可能有引起健康风险的可能性。我们的新见解增强了在理论生态框架内对饮用水细菌群落多样性和生物地理学的现有理解,并对安全饮用水管理和公共卫生保护具有进一步的重要意义。