Evidence map›Paper›PMID 41387678›Full record

ArticleNature communications2025

Infectome analysis of small mammals in Southern China reveals pathogen ecology and emerging risks.

Genyang Xin, Daxi Wang, Xin Zhang, Qingquan Cen, Minwu Peng, Yuqi Liao, Jing Wang, Shijia Le, Jinxia Cheng, Wei-Chen Wu and 23 more

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

33 authors.

Genyang Xin *National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Daxi Wang *BGI Research, Beijing, China.ORCID http://orcid.org/0000-0002-0979-1924
Xin Zhang *Institute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Qingquan CenZhanjiang Institute of Plague Control and Prevention, Zhanjiang, China.
Minwu PengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Yuqi LiaoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Jing WangNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Shijia LeNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Jinxia ChengNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Wei-Chen WuNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Xin HouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.ORCID http://orcid.org/0000-0001-6072-1975
Gengyan LuoNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Qinyu GouNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Jianbin KongNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China.
Zhu PanZhanjiang Institute of Plague Control and Prevention, Zhanjiang, China.
Dongqing LiZhanjiang Institute of Plague Control and Prevention, Zhanjiang, China.
Shipei GanZhanjiang Institute of Plague Control and Prevention, Zhanjiang, China.
An ChenLianjiang Center for Disease Control and Prevention, Lianjiang, China.
Hailong ZhaoBGI Research, Beijing, China.
Peibo ShiBGI Research, Beijing, China.
Zirui RenBGI Research, Beijing, China.ORCID http://orcid.org/0000-0002-4069-0427
Weiqi ZhaoBGI Research, Beijing, China.
Jiajun LiuInstitute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Penghui JiaInstitute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Changyun SunInstitute of Pathogenic Microbiology, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Wenqing LinInstitute of Communicable Disease Control and Prevention, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Jun WuInstitute of Disinfection and Vector Control and Prevention, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Guopeng KuangYunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Yunnan Institute of Endemic Disease Control and Prevention, Kunming, China.ORCID http://orcid.org/0000-0003-2991-4538
Jingdiao ChenInstitute of Parasitic Disease Control and Prevention, Center for Disease Control and Prevention of Guangdong Province, Guangzhou, China.
Junhua LiShenzhen Key Laboratory of Unknown Pathogen Identification, BGI Research, Shenzhen, China.ORCID http://orcid.org/0000-0001-6784-1873
Edward C HolmesSchool of Medical Sciences, The University of Sydney, Sydney, Australia.ORCID http://orcid.org/0000-0001-9596-3552
Ziqing DengBGI Research, Beijing, China. dengziqing@genomics.cn.ORCID http://orcid.org/0000-0001-8726-0160
Mang ShiNational Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, School of Medicine, Shenzhen Campus of Sun Yat-sen University, Sun Yat-sen University, Shenzhen, China. shim23@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0002-6154-4437

Funding

National Natural Science Foundation of China (National Science Foundation of China) 82341118 and 32270160Natural Science Foundation of Guangdong Province (Guangdong Natural Science Foundation) 2022A1515011854
6 · The paper itself

Abstract

Small mammals harbor a diverse array of potentially zoonotic pathogens. To date, however, metagenomic surveys of these species have primarily focused on viruses, with limited attention directed to bacterial and eukaryotic pathogens. Additionally, the ecological determinants of pathogen diversity within these mammals have not been systematically examined. Herein, we employed a metatranscriptomics approach to survey the pathogen infectome-defined as the set of microorganisms infecting the host-across 2408 individual samples, representing lung, spleen, and gut from 858 animals in Guangdong province, China, considering the impact of host species, tissue, season, and geographic location on pathogen diversity. We identified 76 potential pathogen species, comprising 29 RNA viruses, 12 DNA viruses, five bacteria, and 30 eukaryotic pathogens, including 33 that are newly discovered. Distinct tissue tropisms were identified, suggesting varied transmission routes. Individual animals carried an average of one pathogen, with 10 pathogens widely distributed among mammalian orders. Total pathogen richness was largely influenced by geographic region, followed by host species and season, while zoonotic pathogen richness was primarily driven by host species. Collectively, these data provide insights into the structure of the pathogen infectome and the drivers of pathogen diversity and transmission in these key mammalian disease reservoirs.

Indexed as

BacteriaMammalsAnimalsChinaCommunicable Diseases, EmergingDisease ReservoirsDNA VirusesLungMetagenomicsRNA VirusesZoonoses

Identifiers

PMID41387678
PMCPMC12722744

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.