Zeng Jie, Nakanishi Tomohiro, Hara Ayato, Itoh Sadahiko
Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto University Katsura, Nishikyo, Kyoto 615-8540, Japan.
Department of Environmental Engineering, Graduate School of Engineering, Kyoto University, Kyoto University Katsura, Nishikyo, Kyoto 615-8540, Japan E-mail:
J Water Health. 2025 Jan;23(1):43-57. doi: 10.2166/wh.2024.399. Epub 2024 Dec 11.
The discharge of sewage effluent is a major source of microbial contamination in drinking water sources, necessitating a comprehensive investigation of its impact on pathogenic bacterial communities. This study utilized full-length 16S rRNA gene amplicon sequencing to identify putative pathogenic bacteria and analyze their community structures in drinking water sources subjected to different levels of fecal pollution: urban rivers with low, moderate, and high sewage effluent mixing ratios, and mountain streams with minimal human impact. The sewage effluent itself was also analyzed. Mountain streams primarily harbored environmental pathogens, whereas urban rivers exhibited significantly higher concentrations of fecal indicator bacteria (FIB) (i.e., and ) along with markedly more diverse enteric pathogens with a higher relative abundance. Furthermore, within urban rivers, the putative pathogen communities displayed significant variation, closely aligning with the sewage effluent mixing ratios. The effectiveness of FIBs as indicators of enteric pathogens was found to be largely dependent on the levels of fecal pollution. This study offers novel insights into the impact of sewage effluent discharge on putative pathogenic bacterial communities with enhanced species-level resolution
污水排放是饮用水源微生物污染的主要来源,因此有必要全面调查其对致病细菌群落的影响。本研究利用全长16S rRNA基因扩增子测序来鉴定潜在的致病细菌,并分析其在受到不同程度粪便污染的饮用水源中的群落结构:污水混合比例低、中、高的城市河流,以及受人类影响最小的山间溪流。同时也对污水本身进行了分析。山间溪流主要含有环境病原体,而城市河流中粪便指示菌(即 和 )的浓度显著更高,同时肠道病原体种类明显更多,相对丰度也更高。此外,在城市河流中,潜在病原体群落表现出显著差异,与污水混合比例密切相关。研究发现,粪便指示菌作为肠道病原体指标的有效性很大程度上取决于粪便污染水平。本研究以更高的物种水平分辨率,为污水排放对潜在致病细菌群落的影响提供了新的见解。