Evidence map›Paper›PMID 40033356›Full record

ArticleMicrobiome2025

Virome landscape of wild rodents and shrews in Central China.

Nailou Zhang, Bing Hu, Li Zhang, Min Gan, Qingwen Ding, Kai Pan, Jinbo Wei, Wen Xu, Dan Chen, Shaolong Zheng and 2 more

Abstract read
In one paragraph

Article in Microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
–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

18 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Generation and Characterization of the Human Anti-HTNV Antibody KJJ4.International journal of molecular sciences · 2026
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  3. Review
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  14. Zoonotic threats hidden in wildlife.Nature reviews. Microbiology · 2026
    Article
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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

12 authors.

Nailou Zhang *State Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China.
Bing Hu *Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430079, China.
Li ZhangXianning Municipal Center for Disease Control and Prevention, Xianning, Hubei, 437000, China.
Min GanState Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China.
Qingwen DingState Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China.
Kai PanHubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430079, China.
Jinbo WeiState Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China.
Wen XuState Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China.
Dan ChenState Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China.
Shaolong ZhengState Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China.
Kun CaiHubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430079, China. ckreal@163.com.
Zhenhua ZhengState Key Laboratory of Virology and Biosafety, Center for Emerging Infectious Diseases, Wuhan Institute of Virology, Center for Biosafety Mega-Science, Chinese Academy of Sciences, Wuhan, 430071, China. zhengzh@wh.iov.cn.

Funding

Hubei Provincial Natural Science Foundation General Project 2024AFB1001Hubei Provincial Natural Science Foundation Innovation Group 2024AFA024Major Project of Guangzhou National Laboratory GZNL2023A01001National Key Research and Development Program of China 2023YFC2605504
6 · The paper itself

Abstract

backgroundWild rodents and shrews serve as vital sentinel species for monitoring zoonotic viruses due to their close interaction with human environments and role as natural reservoirs for diverse viral pathogens. Although several studies have explored viral diversity and assessed pathogenic risks in wild rodents and shrews, the full extent of this diversity remains insufficiently understood.

resultsWe conducted high-throughput sequencing on 1113 small mammals collected from 97 townships across seven cities in Hubei Province during 2021, supplemented by publicly available data from 2014 and 2016-2017. This analysis revealed a diverse array of novel viruses spanning several viral families, including Arenaviridae, Hepeviridae, Chuviridae, Paramyxoviridae, Arteriviridae, Nodaviridae, Rhabdoviridae, Dicistroviridae, Astroviridae, and Picornaviridae. Phylogenetic analysis and genome structure characterization highlighted the discovery of these novel viruses, enhancing our understanding of viral diversity and evolution. Key host species such as Chodsigoa smithii, Anourosorex squamipes, Niviventer niviventer, and Apodemus agrarius were identified as significant contributors to viral circulation, making them crucial targets for future surveillance. Additionally, the central Plain of Hubei Province was recognized as a critical geographic hub for viral transmission, underscoring its importance in monitoring and controlling viral spread. Machine learning models were employed to assess the zoonotic potential of the identified viruses, revealing that families such as Arenaviridae, Coronaviridae, Hantaviridae, Arteriviridae, Astroviridae, Hepeviridae, Lispiviridae, Nairoviridae, Nodaviridae, Paramyxoviridae, Rhabdoviridae, Picornaviridae, and Picobirnaviridae possess a high likelihood of infecting humans. Notably, rodent-derived Rotavirus A, HTNV, and SEOV displayed almost complete amino acid identity with their human-derived counterparts, indicating a significant risk for human outbreaks.

conclusionThis study provides a comprehensive virome landscape for wild rodents and shrews in Central China, highlighting novel viruses and the critical roles of specific host species and regions in viral transmission. By identifying key species and hotspots for viral spread and assessing the zoonotic potential of the discovered viruses, this research enhances our understanding of virus ecology and the factors driving zoonotic disease emergence. The findings emphasize the need for targeted surveillance and proactive strategies to mitigate the risks of zoonotic spillovers, contributing to global public health preparedness. Video Abstract.

Indexed as

Animals, WildRodentiaShrewsViromeVirusesAnimalsChinaDisease ReservoirsGenome, ViralHigh-Throughput Nucleotide SequencingHumansPhylogenyHantavirusesRodentsShrewsViral transmissionVirus landscapeZoonotic potential

Identifiers

PMID40033356
PMCPMC11874709

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.