全球废水微生物组揭示核心细菌群落和病毒多样性与区域抗生素耐药模式。

IF 4.6 2区 生物学 Q1 MICROBIOLOGY
mSystems Pub Date : 2025-09-17 DOI:10.1128/msystems.01428-24
Yueyang Yan, Xiaoyan Zhao, Xingxing Liang, Ying Xue, Qichen Niu, Dong Li, Xianqi Zhou, Yaoming Li, Shikui Dong, Yunpeng Gai
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引用次数: 0

摘要

城市污水处理厂(WWTPs)是多样化和动态微生物群落的全球资源库,反映了人类活动、环境条件和公共卫生挑战之间复杂的相互作用。尽管它们很重要,但对这些微生物生态系统的全球分布、组成和功能角色的全面了解仍然难以捉摸。在这里,我们通过检查60个国家74个城市的575个采样点,对全球废水系统中的细菌和病毒多样性进行了全面分析。通过宏基因组分析,我们重建了12758个非冗余细菌宏基因组组装基因组(MAGs),跨越70个门,其中4499个MAGs代表新物种。尽管存在相当大的区域差异,但我们在全球70%的样品中发现了一致的核心微生物组,主要包括变形菌。我们进一步组装了170万个病毒基因组,揭示了前所未有的病毒多样性,超过150万个物种水平的病毒操作分类单位(vOTUs)。网络分析表明,转运蛋白在维持WWTP抗干扰的功能弹性中起着至关重要的作用。机器学习方法根据微生物特征有效地预测了废水样品的大陆来源,证实了微生物群落在保持功能保护的同时反映了当地的环境和社会经济条件。我们观察到抗生素耐药基因(ARG)分布存在显著差异,与欧洲和北美相比,非洲和亚洲某些地区的患病率较高。我们的研究结果确立了废水微生物组作为人类活动的重要指标,并为推进环境监测、抗菌素耐药性监测和基于废水的流行病学提供了重要见解。日益加剧的城市化和人类活动大大增加了全球废水的产生,形成了复杂的微生物生态系统,对环境和公共卫生产生重大影响。这项研究提出了第一个大规模的,全面的表征细菌和病毒群落在废水处理系统在世界范围内。通过分析来自不同地理、气候和社会经济背景的样本,我们揭示了废水微生物组如何作为人类社会的微生物指纹,在保持功能保护的同时反映区域特征。我们的研究结果表明,这些群落在外部环境中作为人类肠道微生物群的生态延伸,对抗生素耐药性和病原体的传播具有重要意义。病毒在这些系统中作为关键代谢调节因子的鉴定为研究微生物群落动力学提供了新的视角。这一全球范围的分析促进了我们对废水微生物学的理解,并通过基于废水的流行病学为改善废水管理、加强环境监测系统和加强公共卫生监测提供了有价值的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Global wastewater microbiome reveals core bacterial community and viral diversity with regional antibiotic resistance patterns.

Municipal wastewater treatment plants (WWTPs) serve as global repositories for diverse and dynamic microbial communities, reflecting the complex interplay of human activities, environmental conditions, and public health challenges. Despite their importance, a comprehensive understanding of the global distribution, composition, and functional roles of these microbial ecosystems has remained elusive. Here, we present a comprehensive analysis of bacterial and viral diversities in global wastewater systems by examining 575 sampling sites across 74 cities in 60 countries. Through metagenomic analysis, we reconstructed 12,758 non-redundant bacterial metagenome-assembled genomes (MAGs) spanning 70 phyla, with 4,499 MAGs representing novel species. Despite considerable regional variation, we identified a consistent core microbiome present across 70% of global samples predominantly comprising Proteobacteria. We further assembled 1.7 million viral genomes, revealing unprecedented viral diversity with over 1.5 million species-level viral operational taxonomic units (vOTUs). Network analysis demonstrated that transport proteins play crucial roles in maintaining WWTP functional resilience against disturbances. Machine learning approaches effectively predicted continental origins of wastewater samples based on microbial signatures, confirming that microbial communities reflect local environmental and socioeconomic conditions while maintaining functional conservation. We observed significant variation in the antibiotic resistance gene (ARG) distribution, with elevated prevalence in certain African and Asian regions compared to Europe and North America. Our results establish wastewater microbiomes as important indicators of human activity and provide critical insights for advancing environmental monitoring, antimicrobial resistance surveillance, and wastewater-based epidemiology.IMPORTANCEIntensifying urbanization and human activities have dramatically increased global wastewater generation, creating complex microbial ecosystems that significantly impact environmental and public health. This study presents the first large-scale, comprehensive characterization of bacterial and viral communities in wastewater treatment systems worldwide. By analyzing samples from diverse geographical, climatic, and socioeconomic contexts, we reveal how wastewater microbiomes serve as microbial fingerprints of human society, reflecting regional characteristics while maintaining functional conservation. Our findings demonstrate that these communities function as ecological extensions of human gut microbiota in the external environment, with important implications for the spread of antibiotic resistance and pathogens. The identification of viruses as key metabolic regulators in these systems provides new perspectives on microbial community dynamics. This global-scale analysis advances our understanding of wastewater microbiology and offers valuable insights for improving wastewater management, enhancing environmental monitoring systems, and strengthening public health surveillance through wastewater-based epidemiology.

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来源期刊
mSystems
mSystems Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
10.50
自引率
3.10%
发文量
308
审稿时长
13 weeks
期刊介绍: mSystems™ will publish preeminent work that stems from applying technologies for high-throughput analyses to achieve insights into the metabolic and regulatory systems at the scale of both the single cell and microbial communities. The scope of mSystems™ encompasses all important biological and biochemical findings drawn from analyses of large data sets, as well as new computational approaches for deriving these insights. mSystems™ will welcome submissions from researchers who focus on the microbiome, genomics, metagenomics, transcriptomics, metabolomics, proteomics, glycomics, bioinformatics, and computational microbiology. mSystems™ will provide streamlined decisions, while carrying on ASM''s tradition of rigorous peer review.
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