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Abstract

Understanding wildlife-pathogen interactions is crucial for mitigating zoonotic risk. Through meta-transcriptomic sequencing we profiled the infectomes of 1,922 samples from 67 mammalian species across China, uncovering a remarkable diversity of viral, bacterial, fungal, and parasitic pathogens. Of the 195 pathogens identified, 62 were novel, including a bi-segmented coronavirus in diseased lesser pandas, which we propose represents a new genus - Zetacoronavirus. The orders Carnivora and Rodentia exhibited the highest pathogen diversity and were implicated in numerous host-jumping events. Comparative analysis of diseased versus healthy animals revealed a trend of higher pathogen loads in the former, with possible differences in tissue tropisms. In total, 48 zoonotic and 17 epizootic pathogens were identified, with frequent cross-species transmission, emphasizing the potential for emerging public health threats. This study highlights the urgent need for wildlife pathogen surveillance to inform proactive disease management strategies.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* This revised version mainly changed the description of the data in maintext. The format also changed.

Details

1009240
Title
Comprehensive Infectome Analysis Reveals Diverse Infectious Agents with Zoonotic Potential in Wildlife
Publication title
bioRxiv; Cold Spring Harbor
Publication year
2025
Publication date
Feb 11, 2025
Section
New Results
Publisher
Cold Spring Harbor Laboratory Press
Source
BioRxiv
Place of publication
Cold Spring Harbor
Country of publication
United States
University/institution
Cold Spring Harbor Laboratory Press
Publication subject
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Milestone dates
2025-01-10 (Version 1)
ProQuest document ID
3153960457
Document URL
https://www.proquest.com/working-papers/comprehensive-infectome-analysis-reveals-diverse/docview/3153960457/se-2?accountid=208611
Copyright
© 2025. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-02-12
Database
2 databases
  • Coronavirus Research Database
  • ProQuest One Academic