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Standard Operating Procedure for Lyssavirus Surveillance of the Bat Population in Taiwan
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DBatVir: the database of bat-associated viruses
Lihong Chen1, Bo Liu, Jian Yang
1MOH Key Laboratory of Systems Biology of Pathogens, Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Database : the Journal of Biological Databases and Curation
|March 21, 2014
Summary
Bats host numerous lethal zoonotic viruses, posing a public health threat. The new DBatVir database consolidates bat virus genetic data, aiding research and surveillance of emerging infectious diseases.
Area of Science:
- Virology
- Zoology
- Public Health
Background:
- Emerging infectious diseases (EIDs) pose a significant global public health risk.
- Zoonotic viruses, particularly those originating from bats, are frequently implicated in EID outbreaks.
- Understanding bat virome diversity is crucial for preventing future epidemics.
Purpose of the Study:
- To create a comprehensive database of bat-associated viruses (DBatVir) to support research and surveillance.
- To integrate viral genetic data with detailed bat metadata.
Main Methods:
- Manual collection and curation of known viral sequences from bat samples.
- Inclusion of metadata: sampling time, location, bat species, specimen type.
- Integration of bat information: common names, diet, distribution, and phylogeny.
Main Results:
- DBatVir contains over 4100 viruses from 23 families, detected in 196 bat species across 69 countries.
- The database links viral data with extensive bat biological and geographical information.
- A user-friendly interface with bioinformatics tools is provided.
Conclusions:
- DBatVir offers a valuable resource for analyzing bat virome diversity.
- The database facilitates monitoring and tracking of bat-related infectious diseases for public health.
- DBatVir bridges the gap between virology, zoology, and epidemiology.
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