Evidence map›Paper›PMID 40960301›Full record

ArticlemSystems2025

Global wastewater microbiome reveals core bacterial community and viral diversity with regional antibiotic resistance patterns.

Yueyang Yan, Xiaoyan Zhao, Xingxing Liang, Ying Xue, Qichen Niu, Dong Li, Xianqi Zhou, Yaoming Li, Shikui Dong, Yunpeng Gai

Abstract read
In one paragraph

Article in mSystems, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Yueyang YanSchool of Grassland Science, Beijing Forestry University, Beijing, China.ORCID 0000-0001-8114-3545
Xiaoyan ZhaoSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Xingxing LiangSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Ying XueSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Qichen NiuSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Dong LiSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Xianqi ZhouSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Yaoming LiSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Shikui DongSchool of Grassland Science, Beijing Forestry University, Beijing, China.
Yunpeng GaiSchool of Grassland Science, Beijing Forestry University, Beijing, China.ORCID 0009-0002-8766-3861

Funding

Central University Basic Research Fund of China BLX202162
6 · The paper itself

Abstract

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.

Indexed as

BacteriaDrug Resistance, MicrobialMicrobiotaVirusesWastewaterBiodiversityDrug Resistance, BacterialHumansMetagenomeMetagenomicsWastewaterantibiotic resistance genesbiogeographical distributionenvironmental sustainabilityindustrializationmetagenome-assembled genomespathogen transmissionpublic healthurbanizationwastewater microbial communitieswastewater treatment plants

Identifiers

PMID40960301
PMCPMC12542734

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.