ViralCC

ViralCC recovers complete viral genomes and detects virus-host pairs from metagenomic Hi-C datasets to characterize viral diversity and virus-host interactions in microbial communities.

Key Features:

• Virus-Host Proximity Structure Utilization: Leverages Hi-C-derived proximity signals between viruses and their hosts to improve the accuracy of viral genome recovery.
• High-Quality Metagenome-Assembled Genomes (MAGs): Reconstructs high-quality MAGs from microbial communities by analyzing Hi-C contact maps.
• Superior Performance: Demonstrates superior performance on mock and real metagenomic Hi-C datasets from ecosystems including the human gut, cow fecal matter, and wastewater compared with existing Hi-C-based binning methods and metagenomic viral binning tools.
• Taxonomic Structure Revelation: Recovers complete viral genomes and elucidates the taxonomic structure of viruses within microbial communities.
• Phage-Host Network Construction: Constructs phage-host interaction networks from Hi-C data and validates virus-host links using CRISPR spacer analyses.

Scientific Applications:

• Viral ecology: Enables characterization of viral diversity and taxonomic composition in environmental and host-associated microbiomes.
• Virus-host interaction mapping: Maps virus-host associations to study host range and phage-host network structure.
• Metagenomic assembly and community analysis: Facilitates reconstruction and analysis of high-quality MAGs to investigate microbial community organization.

Methodology:

Analyzes Hi-C contact maps to identify virus-host proximity interactions and uses those contacts to assemble viral genomes and detect virus-host associations.