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Comprehensive Infectome Analysis Reveals Diverse Infectious Agents with Zoonotic Potential in Wildlife

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Publicado en:bioRxiv (Feb 11, 2025)
Autor principal: Hou, Xin
Otros Autores: Wang, Jing, Da-Xi, Wang, Chen, Ye, Xin-Xin, Li, Wei-Chen, Wu, Shi-Jia, Le, Shi-Qiang, Mei, Han-Lin, Liu, Feng, Yun, Li-Fen, Yang, Pei-Bo Shi, Zi-Rui Ren, Yang, Lin, Hai-Jian He, Wang-Jie, Song, Chen, Jie, Meng-Meng, Zhu, Zhi-Wen, Jiang, Xing-Mei, Li, Mei-Rong, Li, Guo, Deyin, Holmes, Edward C, Zi-Qing Deng, Shi, Mang
Publicado:
Cold Spring Harbor Laboratory Press
Materias:
Coronaviruses
Wildlife
Pathogens
Public health
Comparative analysis
Transcriptomics
Zoonoses
Disease transmission
New genera
Host-pathogen interactions
Acceso en línea:Citation/Abstract
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Resumen: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 StatementThe authors have declared no competing interest.Footnotes* This revised version mainly changed the description of the data in maintext. The format also changed.
ISSN:2692-8205
DOI:10.1101/2025.01.09.632079
Fuente:Biological Science Database