Evidence map›Paper›PMID 42106372›Full record

ArticleNPJ biofilms and microbiomes2026

Virome diversity, evolution, transmission networks, and zoonotic potential of wildlife on the Qinghai-Tibet plateau.

Hao Zhou, Ji Pu, Jinlv Liu, Yaqi Wang, Qiang Hou, Jiajia Ma, Yuqing Liu, Wei Wang, Shan Lu, Jianfeng Ba and 4 more

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

14 authors.

Hao ZhouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Ji PuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jinlv LiuDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Yaqi WangDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Qiang HouDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Jiajia MaDepartment of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan, Shanxi, China.
Yuqing LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Wei WangBeijing Shanmo Ecological Technology Co., Ltd, Beijing, China.
Shan LuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Jianfeng BaShiqu County Center for Disease Control and Prevention, Ganzi, Sichuan, China.
Teng QiSichuan Center for Disease Control and Prevention, Chengdu, Sichuan, China.
Jing YangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. yangjing@icdc.cn.
Xuelian LuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. luoxuelian@icdc.cn.
Jianguo XuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. xujianguo@icdc.cn.

Funding

Capacity Enhancement Project of the National Institute for Communicable Disease Control and Prevention (China CDC) & Tengfei Initiative, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases 2024NITFID502; 2024NITFID503; 2024NITFID513; 2025NITFID503Major Project of Guangzhou National Laboratory GZNL2024A01025Prevention and Control of Emerging and Major Infectious Diseases - National Science and Technology Major Project 2025ZD01900100; 2025ZD01900110Science and Technology Projects of Xizang Autonomous Region XZ202501JD0012
6 · The paper itself

Abstract

Wildlife serves as a natural reservoir for emerging viruses. Although virome studies of bats and rodents have advanced our understanding of viral diversity, the virome characteristics and zoonotic risks of wildlife inhabiting the Qinghai-Tibet Plateau-a global biodiversity hotspot-remain poorly understood. Here, we conducted a virome survey of 22 wild animal species from the Qinghai-Tibet Plateau using meta-transcriptomic sequencing. We characterized the diversity and distribution of wildlife-associated viruses and found that birds tended to harbor higher viral diversity and abundance than mammals. In addition, greylag goose (Anser anser) and Himalayan vulture (Gyps himalayensis) harbored a high proportion of cross-species viruses and occupied central positions in the transmission network. In total, we identified 36 viral genera with pathogenic potential to humans or animals. Among them, several viruses, including rotavirus A (RVA) and parainfluenza virus 5 (PIV-5), pose a high risk of zoonotic transmission. Notably, the plateau vole (Neodon fuscus) carried the highest number of high-risk viruses, and the RVA strains it harbors represent a distinct early evolutionary lineage. These findings highlight the public health relevance of wildlife on the Qinghai-Tibet Plateau and emphasize the need for continued surveillance of high-risk hosts and viruses.

Indexed as

Animals, WildViral ZoonosesViromeVirusesZoonosesAnimalsBiodiversityBirdsEvolution, MolecularHumansMammalsPhylogenyTibet

Identifiers

PMID42106372
PMCPMC13377067

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.