一个关于动物相关的沙贝科病毒的综合数据集
Bo Liu1, Peng Zhao1, Panpan Xu1
1NHC Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 110730, China.
Scientific data
|October 7, 2023
概括
一个新的数据库列出了来自43个国家的63个物种的1,535种与动物相关的sarbecoviruses (SarbeCoVs). 本资源有助于跟踪病毒多样性和了解跨物种传播,以预防流行病.
科学领域:
- 病毒学 病毒学
- 流行病学 流行病学
- 基因组学就是基因组学.
背景情况:
- 萨尔贝科病毒 (SarbeCoVs) 的动物性传播已经导致了SARS和COVID-19等重大流行病.
- 了解SarbeCoV遗传多样性和宿主范围对于流行病监测和追踪病毒起源至关重要.
研究的目的:
- 创建一个全面的,公开可用的动物相关的SarbeCoVs的存储库.
- 促进对病毒多样性模式,宿主特异性以及跨物种传播的决定因素的研究.
主要方法:
- 汇总了来自43个国家的63种动物中的1535种SarbeCoVs的数据 (截至2023年2月14日).
- 手动策划的元信息,包括宿主物种,采样时间和位置.
- 受体结合域 (RBD) 和受体结合基因 (RBM) 的注释序列集.
主要成果:
- 一个集中数据集的动物相关的SarbeCoVs与详细的元数据.
- 确定了与宿主相互作用相关的病毒序列和关键蛋白质域 (RBDs/RBMs).
- 为分析病毒进化和生态特征提供了基础.
结论:
- 该SarbeCoV存储库增强了流行病监测和来源追踪的能力.
- 精选的数据和注释的序列有助于估计风险和设计新兴传染病的控制策略.
- 促进科学界对病毒跨物种传播机制的研究.
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