Department of Infectious Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China; Key Laboratory of Microbial Technology and Bioinformatics of Zhejiang Province, Hangzhou, 310016, China; Regional Medical Center for National Institute of Respiratory Diseases, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Hangzhou, 310016, China.
College of Chemical and Biological Engineering, Zhejiang University, Hangzhou, 320013, China.
Environ Pollut. 2024 Feb 1;342:123066. doi: 10.1016/j.envpol.2023.123066. Epub 2023 Dec 2.
While traditional culture-dependent methods can effectively detect certain microorganisms, the comprehensive composition of the municipal drinking water (DW) microbiome, including bacteria, archaea, and viruses, remains unknown. Metagenomic sequencing has opened the door to accurately determine and analyze the entire microbial community of DW, providing a comprehensive understanding of DW species diversity, especially in the context of public health concerns during the COVID-19 era. In this study, we found that most of the culturable bacteria and some fecal indicator bacteria, such as Escherichia coli and Pseudomonas aeruginosa, were non-culturable using culture-dependent methods in all samples. However, metagenomic analysis showed that the predominant bacterial species in the DW samples belonged to the phyla Proteobacteria and Planctomycetes. Notably, the genus Methylobacterium was the most abundant in all water samples, followed by Sphingomonas, Gemmata, and Azospirilum. While low levels of virulence-associated factors, such as the Esx-5 type VII secretion system (T7SS) and DevR/S, were detected, only the erythromycin resistance gene erm(X), an rRNA methyltransferase, was identified at low abundance in one sample. Hosts corresponding to virulence and resistance genes were identified in some samples, including Mycobacterium spp. Archaeal DNA (Euryarchaeota, Crenarchaeota) was found in trace amounts in some DW samples. Viruses such as rotavirus, coxsackievirus, human enterovirus, and SARS-CoV-2 were negative in all DW samples using colloidal gold and real-time reverse transcription polymerase chain reaction (RT‒PCR) methods. However, DNA encoding a new order of reverse-transcribing viruses (Ortervirales) and Herpesvirales was found in some DW samples. The metabolic pathways of the entire microbial community involve cell‒cell communication and signal secretion, contributing to cooperation between different microbial populations in the water. This study provides insight into the microbial community and metabolic process of DW in Hangzhou, China, utilizing both culture-dependent methods and metagenomic sequencing combined with bioinformatics tools during the COVID-19 pandemic era.
虽然传统的基于培养的方法可以有效地检测某些微生物,但市政饮用水 (DW) 微生物组的综合组成,包括细菌、古菌和病毒,仍然未知。宏基因组测序为准确确定和分析 DW 的整个微生物群落打开了大门,提供了对 DW 物种多样性的全面了解,特别是在 COVID-19 时代公共卫生关注的背景下。在这项研究中,我们发现,使用基于培养的方法,所有样本中的大多数可培养细菌和一些粪便指示菌,如大肠杆菌和铜绿假单胞菌,都是不可培养的。然而,宏基因组分析表明,DW 样本中的主要细菌种类属于变形菌门和浮霉菌门。值得注意的是,甲基杆菌属是所有水样中最丰富的,其次是鞘氨醇单胞菌属、真杆菌属和螺菌属。虽然仅在一个样本中低丰度检测到与毒力相关的因素,如 Esx-5 型 VII 型分泌系统 (T7SS) 和 DevR/S,但仅鉴定到一个低丰度的红霉素抗性基因 erm(X),一种 rRNA 甲基转移酶。在一些样本中鉴定到与毒力和抗性基因相对应的宿主,包括分枝杆菌属。在一些 DW 样本中痕量发现古菌 DNA(广古菌门、泉古菌门)。使用胶体金和实时逆转录聚合酶链反应 (RT-PCR) 方法,所有 DW 样本均为阴性,未检测到轮状病毒、柯萨奇病毒、人肠道病毒和 SARS-CoV-2 等病毒。然而,在一些 DW 样本中发现了编码新反转录病毒 (Ortervirales) 和疱疹病毒 (Herpesvirales) 的 DNA。整个微生物群落的代谢途径涉及细胞间通讯和信号分泌,有助于水中不同微生物种群之间的合作。本研究利用 COVID-19 大流行时代基于培养的方法和宏基因组测序结合生物信息学工具,提供了对中国杭州 DW 微生物群落和代谢过程的深入了解。