Evidence map›Paper›PMID 40497237›Full record

ArticleNational science review2025

Small mammals in a biodiversity hotspot harbor viruses of emergence risk.

Yun Feng, Guopeng Kuang, Yuanfei Pan, Jing Wang, Weihong Yang, Wei-Chen Wu, Hong Pan, Juan Wang, Xi Han, Lifen Yang and 9 more

Abstract read
In one paragraph

Article in National science review, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

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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

19 authors.

Yun FengState Key Laboratory of Remote Sensing Science, Center for Global Change and Public Health, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.
Guopeng KuangYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali 671000, China.
Yuanfei PanMinistry of Education Key Laboratory of Biodiversity Science and Ecological Engineering, School of Life Sciences, Fudan University, Shanghai 200433, China.
Jing WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Weihong YangYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali 671000, China.
Wei-Chen WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Hong PanYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali 671000, China.
Juan WangYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali 671000, China.
Xi HanYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali 671000, China.
Lifen YangYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali 671000, China.
Gen-Yang XinNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.ORCID https://orcid.org/0000-0002-4401-8531
Yong-Tao ShanNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Qin-Yu GouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.
Xue LiuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.ORCID https://orcid.org/0000-0001-9195-5408
Deyin GuoState Key Laboratory of Respiratory Disease, National Clinical Research Center for Respiratory Disease, Guangzhou Institute of Respiratory Health, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou 511436, China.ORCID https://orcid.org/0000-0002-8297-0814
Guodong LiangDepartment of Arbovirus, National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
Edward C HolmesSchool of Medical Sciences, The University of Sydney, Sydney, New South Wales 2006, Australia.
Zihou GaoYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Dali 671000, China.
Mang ShiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen 518107, China.ORCID https://orcid.org/0000-0002-6154-4437

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metagenomic sequencing has transformed the understanding of viral diversity in wildlife and the potential threats these viruses pose to human health. Despite this progress, such sequencing studies often have lacked systematic and ecologically informed sampling, thereby likely missing many potential human pathogens and the drivers behind their ecology, evolution and emergence. We conducted an extensive search for viruses in the lungs, spleens and guts of 1688 mammals from 38 species across 428 sites in Yunnan Province, China-a hotspot for zoonoses emergence. We identified 162 mammalian viruses, including 102 new ones and 24 posing potential risks to humans due to their relationships with known human pathogens associated with serious diseases or their ability to cross major host species barriers. Our findings offer an in-depth view of virus organotropism, cross-host associations, host sharing patterns, and the ecological factors influencing viral evolution, all of which are critical for anticipating and mitigating future zoonotic outbreaks.

Indexed as

metatranscriptomicsvirus ecologyvirus evolutionwildlife viromezoonotic diseases

Identifiers

PMID40497237
PMCPMC12151149

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.