Evidence map›Paper›PMID 41485063›Full record

ArticleMicrobiome2026

Virome diversity and zoonotic risks of rodents along ecological gradients in the Northern Tianshan Mountains, China.

Han Du, Lijuan Zhang, Wenbiao Wang, Yuhao Chang, Chunge Zhang, Haiyuan Xiang, Yixin Men, Haoqiang Sun, Haoyu Wen, Fengze Yun and 6 more

Abstract read
In one paragraph

Article in Microbiome, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

16 authors.

Han Du *Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Lijuan Zhang *College of Life Sciences, Wuhan University, Wuhan, 430072, China.
Wenbiao Wang *Xinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Yuhao ChangXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Chunge ZhangLaboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, 100101, China.
Haiyuan XiangSchool of Life Sciences, Yunnan University, Kunming, 650500, China.
Yixin MenGuangdong Technion-Israel Institute of Technology, Shantou, 16410, China.
Haoqiang SunSchool of Life Sciences and Biopharmacy, Shenyang Pharmaceutical University, Shenyang, 110016, China.
Haoyu WenLaboratory of Pathogen Microbiology and Immunology, Institute of Microbiology, Center for Influenza Research and Early-Warning (CASCIRE), CAS-TWAS Center of Excellence for Emerging Infectious Diseases (CEEID), Chinese Academy of Sciences, Beijing, 100101, China.
Fengze YunXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Xinqiang ZhangXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Kunpeng ZhengXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Lei ZhangXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Yanbin ZhuXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China.
Yuhai BiXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China. beeyh@im.ac.cn.
Zhenghai MaXinjiang Key Laboratory of Biological Resources and Genetic Engineering, College of Life Science and Technology, Xinjiang University, Urumqi, 830046, China. mzhxju@xju.edu.cn.

Funding

CAS Project for Young Scientists in Basic Research YSBR-086Major Project of Guangzhou National Laboratory GZNL2023A01001National Key Research and Development Program of China 2023YFC2307500National Natural Science Foundation of China 32425053National Natural Science Foundation of China 41761096
6 · The paper itself

Abstract

backgroundRodents are primary reservoirs for zoonotic viruses, posing significant public health threats. However, our understanding of how habitat heterogeneity influences viral community composition and the spillover potential remains inadequate.

resultsHere, a comprehensive meta-transcriptomic analysis of rodent-associated viruses was conducted across four distinct ecological habitats in the northern foothills of the Tianshan Mountains, China. Multiple novel viral sequences belonging to families with known zoonotic potential were identified, including Nairo-, Arena-, Flavi-, Picorna-, and Paramyxoviridae. Phylogenetic analyses revealed significant genomic diversity and potential for cross-species transmission, particularly in viruses exhibiting broad tissue tropism. Notably, viruses from the family Nairoviridae were markedly enriched in rodent spleen and kidney tissues from mountain pastures and scenic zones. This enrichment likely reflects the high abundance and diversity of tick vectors in these habitats, which may facilitate viral persistence in rodent reservoirs and increase the risk of zoonotic spillover. In contrast, rodents in farm and community zones exhibited more diverse viral communities across multiple tissues, including the kidneys and intestines, suggesting that these high-density human-animal interfaces provide optimal conditions for multi-host viral circulation. Variations in viral distribution were observed across tissues and geographic locations among rodents from different habitats, indicating that viral patterns are closely influenced by host species, environmental factors, and vector organisms. Habitat differences accounted for 38.8% of the variation in viral community composition, highlighting both ecological diversity and the pivotal role of habitat in viral dynamics.

conclusionsThese findings underscore the complex interplay between habitat type, host ecology, and viral evolution in shaping zoonotic spillover risks. This research offers crucial insights into the emergence of rodent-borne viral diseases and the development of targeted surveillance strategies in high-risk regions. Video Abstract.

Indexed as

RodentiaViromeVirusesZoonosesAnimalsChinaDisease ReservoirsEcosystemHumansPhylogenyEcological gradientRodent viromeViral surveillanceZoonotic risk

Identifiers

PMID41485063
PMCPMC12781535

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.