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ZOVER 2.0: a virome-based platform for zoonotic and vector-borne viruses
1NHC Key Laboratory of Systems Biology of Pathogens, National Institute of Pathogen Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 102629, China.
The ZOVER 2.0 database enhances viral surveillance by analyzing metagenomic data from wildlife. It expands understanding of virus diversity in bats, rodents, mosquitoes, and ticks for public health.
Area of Science:
- Virology
- Genomics
- Public Health
Background:
- Emerging zoonotic and vector-borne viruses present a global health threat.
- Effective virome surveillance requires understanding viral and host diversity in wildlife reservoirs and vectors.
Purpose of the Study:
- To upgrade the ZOVER database with expanded metagenomic data for comprehensive virome profiling.
- To provide a standardized platform for virus discovery, ecological interpretation, and surveillance of interspecies transmission.
Main Methods:
- Incorporated 5883 curated metagenomic next-generation sequencing libraries from 72 projects over 12 years.
- Utilized a standardized analysis pipeline for taxonomic annotation and viral abundance estimation.
- Normalized sequencing reads for consistent profiling across diverse datasets.
Main Results:
- Expanded virome diversity by assigning reads to 110 recognized viral families across bats, rodents, mosquitoes, and ticks.
- Enabled visualization and comparative analyses of virome composition across taxa, regions, and time.
- Integrated genomic and metagenomic knowledge for robust virus discovery.
Conclusions:
- ZOVER 2.0 offers a powerful resource for monitoring emerging infectious diseases.
- Facilitates One Health-oriented surveillance by understanding viral ecology and transmission risks.
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