数字农科院2.0

Zoonosis: a comprehensive database of zoonotic pathogens

文献类型： 外文期刊

作者： Zhang, Boyuan;Liu, Dan;Wang, Weiwen;Li, Xiaoqiang;Xie, Yifei;Li, Huitong;Zhou, Hongmei;Gao, Jianshuai;Jiang, Hui;Fan, Xuezheng;Ding, Jiabo;Shen, Qingchun;Ma, Xizheng

作者机构：

期刊名称： DATABASE-THE JOURNAL OF BIOLOGICAL DATABASES AND CURATION

ISSN： 1758-0463

年卷期： 2025 年 2025 卷

页码：

收录情况： SCIE（2025版）

摘要： Emerging infectious diseases pose a significant threat to global public health and economic security, with zoonoses accounting for a substantial proportion. Livestock such as cattle and sheep are critical reservoirs for zoonotic pathogens and play a key role in transmitting these pathogens to humans and other animals, including dogs and wildlife, due to their close interaction with diverse populations. In this study, we introduce Zoonosis (http://zoonosis.cn/zoonosis/), a comprehensive database that integrates data on pathogens, including Brucella, Mycobacterium tuberculosis, and Bacillus anthracis. Currently, Zoonosis integrates over 4500 samples from more than 60 countries, with a total data volume of 1.8TB, providing a global perspective on zoonotic disease distribution. Equipped with user-friendly visualization and analysis tools, Zoonosis enables rapid biological data interpretation, aiding disease diagnosis and prevention. This resource supports virology, zoology, and epidemiology experts in monitoring cross-species transmissions and mitigating future zoonotic outbreaks.Database URL: http://zoonosis.cn/zoonosis/

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