Environmental surveillance reveals enterovirus diversity in Jinan, China: detection of types D68, A71, A76, B88, A90, and C99

Enterovirus (EV) exhibits high evolutionary activity and is associated with a wide spectrum of human diseases. Environmental surveillance employing next-generation sequencing (NGS) is an effective approach for elucidating EV type diversity and genetic variation; however, similar studies in China are limited. Sewage samples were collected monthly in Jinan, China, from January to December 2024 and subsequently concentrated. EV isolation was conducted using cell culture, followed by VP1 amplification and Sanger sequencing. Concurrently, VP1 amplicons directly obtained from sewage concentrates were subjected to NGS. Similarity and phylogenetic analysis were performed. A total of 104 EV strains representing nine serotypes were isolated via cell culture, with echovirus 11 (E11) and E3 being the most prevalent, accounting for 34.62% (36/104) and 27.88% (29/104) of the total isolates, respectively. NGS technology identified 31 EV types, with CVB4 and CVA16 exhibiting the highest read counts. Additionally, uncommon types such as D68, A71, A76, B88, A90, and C99 and 11 rhinovirus types were detected in the sewage samples. Phylogenetic analysis revealed that CVA16 and D68 sequences from sewage had close genetic relationship with recent Chinese strains, and multiple branches of B88 and C99 were observed. This study represents the first detection of D68 and B88 in sewage in China, demonstrating co-circulation of diverse enteroviruses with significant genetic variability in the region. These findings underscore the utility of environmental surveillance for tracking EV epidemiology and evolution.IMPORTANCEEnteroviruses are significant human pathogens associated with frequent epidemics and outbreaks. Although numerous types exist, some exhibit low prevalence and are rarely detected. By implementing next-generation sequencing (NGS) in wastewater surveillance, this study comprehensively characterized enterovirus diversity, revealing multiple uncommon types of interest. Notably, we detected EV-D68-an emerging agent linked to acute flaccid myelitis-in sewage, underscoring its public health relevance. Additionally, we identified multiple rhinovirus types. These data demonstrate the local circulation of diverse viruses with substantial public health implications and provide a critical foundation for disease monitoring and early warning systems.

Authors

Institutions

Publication Details

Journal
Microbiology Spectrum
Published
2025-12-18
DOI
https://doi.org/10.1128/spectrum.01928-25
Primary Topic
Viral Infections and Immunology Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Environmental surveillance reveals enterovirus diversity in Jinan, China: detection of types D68, A71, A76, B88, A90, and C99

Mengmeng Wang, Zexin Tao, Haifeng Hou, Meng Chen et al.
Microbiology Spectrum
Viral Infections and Immunology Research
article

Environmental surveillance reveals enterovirus diversity in Jinan, China: detection of types D68, A71, A76, B88, A90, and C99

Mengmeng Wang, Zexin Tao, Haifeng Hou, Meng Chen, Yao Liu, Feng Ji, Xiaojuan Lin
article en

Abstract

Enterovirus (EV) exhibits high evolutionary activity and is associated with a wide spectrum of human diseases. Environmental surveillance employing next-generation sequencing (NGS) is an effective approach for elucidating EV type diversity and genetic variation; however, similar studies in China are limited. Sewage samples were collected monthly in Jinan, China, from January to December 2024 and subsequently concentrated. EV isolation was conducted using cell culture, followed by VP1 amplification and Sanger sequencing. Concurrently, VP1 amplicons directly obtained from sewage concentrates were subjected to NGS. Similarity and phylogenetic analysis were performed. A total of 104 EV strains representing nine serotypes were isolated via cell culture, with echovirus 11 (E11) and E3 being the most prevalent, accounting for 34.62% (36/104) and 27.88% (29/104) of the total isolates, respectively. NGS technology identified 31 EV types, with CVB4 and CVA16 exhibiting the highest read counts. Additionally, uncommon types such as D68, A71, A76, B88, A90, and C99 and 11 rhinovirus types were detected in the sewage samples. Phylogenetic analysis revealed that CVA16 and D68 sequences from sewage had close genetic relationship with recent Chinese strains, and multiple branches of B88 and C99 were observed. This study represents the first detection of D68 and B88 in sewage in China, demonstrating co-circulation of diverse enteroviruses with significant genetic variability in the region. These findings underscore the utility of environmental surveillance for tracking EV epidemiology and evolution.IMPORTANCEEnteroviruses are significant human pathogens associated with frequent epidemics and outbreaks. Although numerous types exist, some exhibit low prevalence and are rarely detected. By implementing next-generation sequencing (NGS) in wastewater surveillance, this study comprehensively characterized enterovirus diversity, revealing multiple uncommon types of interest. Notably, we detected EV-D68-an emerging agent linked to acute flaccid myelitis-in sewage, underscoring its public health relevance. Additionally, we identified multiple rhinovirus types. These data demonstrate the local circulation of diverse viruses with substantial public health implications and provide a critical foundation for disease monitoring and early warning systems.

Microbiology SpectrumVol. 14(2)
Academy of Medical Sciences (GB), Shandong First Medical University (CN), Shandong Center for Disease Control and Prevention (CN)
Openalex Percentile: Top 42%
Viral Infections and Immunology Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.