Virome characterization of field-collected rodents in suburban city

Rodents serve as natural reservoirs and vectors for a multitude of zoonotic viruses. Analyzing the viral diversity in rodents is crucial for predicting the emergence of infectious diseases. Through high-throughput sequencing, we characterized the RNA virome of nine rodent species from the families Cricetidae and Muridae, collected from suburban Beijing (n = 432). The composition of the virome exhibited significant variation at the virus family level across the nine rodent species and three types of natural habitats. A total of 142 viral species were identified, including 133 associated with vertebrates and 9 associated with invertebrates, spanning 26 families. Notably, 75 of these viruses were novel while 67 were known viruses. Twenty-five viruses were classified as high-risk, including eight zoonotic viruses and 17 spillover-risk viruses. Additionally, nine known viruses were identified for the first time in China. Thirty-three viruses demonstrated potential for cross-species transmission. Understanding the virome characterization of field-collected rodent might provide valuable insights into the potential risk of zoonotic spillover to humans.

Authors

Institutions

Publication Details

Journal
npj Biofilms and Microbiomes
Published
2025-06-11
DOI
https://doi.org/10.1038/s41522-025-00740-8
Citations
3
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
4.19
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virome characterization of field-collected rodents in suburban city

Cong Peng, Bo-Kang Fu, Xiao‐Ai Zhang, Yan-Tao Liu et al.
3 citations
npj Biofilms and Microbiomes
Viral Infections and Vectors
4.19
article

Virome characterization of field-collected rodents in suburban city

Cong Peng, Bo-Kang Fu, Xiao‐Ai Zhang, Yan-Tao Liu, Jing-Tao Zhang, Hang Fan, Yun-Fa Zhang, Pengtao Bao, Shuang Li, Wei Liu, MA Xiao-fang, Hong Su, Meiqi Zhang, Zhenyu Hu, Lei Zhang, Guang‐Qian Si, Gang Wang
article en
3 citations

Abstract

Rodents serve as natural reservoirs and vectors for a multitude of zoonotic viruses. Analyzing the viral diversity in rodents is crucial for predicting the emergence of infectious diseases. Through high-throughput sequencing, we characterized the RNA virome of nine rodent species from the families Cricetidae and Muridae, collected from suburban Beijing (n = 432). The composition of the virome exhibited significant variation at the virus family level across the nine rodent species and three types of natural habitats. A total of 142 viral species were identified, including 133 associated with vertebrates and 9 associated with invertebrates, spanning 26 families. Notably, 75 of these viruses were novel while 67 were known viruses. Twenty-five viruses were classified as high-risk, including eight zoonotic viruses and 17 spillover-risk viruses. Additionally, nine known viruses were identified for the first time in China. Thirty-three viruses demonstrated potential for cross-species transmission. Understanding the virome characterization of field-collected rodent might provide valuable insights into the potential risk of zoonotic spillover to humans.

npj Biofilms and MicrobiomesVol. 11(1)
Anhui Medical University (CN), Academy of Military Medical Sciences (CN), Chinese PLA General Hospital (CN), Chinese People's Armed Police General Hospital (CN), First Affiliated Hospital of Anhui Medical University (CN), Qingdao Municipal Center for Disease Control and Prevention (CN), Chinese People's Armed Police Force
Sustainable cities and communities
Openalex Percentile: Top 6%
Viral Infections and Vectors
4.19
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.