
Comprehensive Catalog of the Avian Gut Virome
AvianViromeDB represents the most comprehensive catalog of avian gut viromes to date, featuring 61,608 high-quality viral operational taxonomic units (vOTUs) assembled from 2,692 metagenomic samples across diverse avian species. This resource unveils extensive viral diversity and reveals the critical functional roles of bacteriophages in avian gut ecosystems.
Database Overview
Metagenomic Samples
From diverse avian species
Viral OTUs (vOTUs)
Species-level clusters (≥50% complete)
Potential Novel Families
Expanding known viral diversity
Auxiliary Metabolic Genes
Potential host metabolic modulation
Scientific Insights
Unlocking Viral Dark Matter
Provides the most comprehensive view of avian gut viral diversity to date, identifying thousands of novel viral species and families previously unknown to science.
Mapping Functional Potential
Identifies a vast repertoire of Auxiliary Metabolic Genes (AMGs) involved in key pathways (e.g., carbohydrate, nucleotide metabolism) and clinically relevant Antibiotic Resistance Genes (ARGs).
Host-Virus Interaction Networks
Predicts putative bacterial hosts for thousands of viruses, offering insights into phage-bacteria dynamics and their potential regulatory roles within the gut ecosystem.
Download Database
Core Database Files
vOTU Sequences
Non-redundant viral operational taxonomic unit sequences.
Protein Sequences
Predicted protein sequences from vOTUs in FASTA format.
vOTU Annotations
Comprehensive metadata including quality metrics (CheckV), taxonomy (VITAP/geNomad), lifestyle (BACPHLIP), source host, completeness, etc.
Functional Gene Annotations
Predicted Auxiliary Metabolic Genes (VIBRANT/DRAM-v) and Antibiotic Resistance Genes (multi-database consensus) with associated vOTUs.
Host Predictions
Predicted bacterial host phyla and genera (iPHoP) for high-quality vOTUs.
Additional Resources
SQLite Database
Complete database with all annotations in SQLite format for easy querying and analysis.
Database description
Description of the database schema.