AnimalMetaOmics

AnimalMetaOmics integrates metagenomic, metatranscriptomic, and metaproteomic data to enable comparative analysis of microbial genomes and microbiomes across non-human animal species.

Key Features:

• Extensive Data Integration: 55,898 annotated microbial genomes from 581 animal species, including 42,924 bacterial genomes, 12,336 virus genomes, 496 archaeal genomes, and 142 fungal genomes.
• Multi-Omics Datasets: Integration of metagenomic data with metatranscriptomic datasets from 31 animal species and metaproteomic datasets from four animal species.
• Functional Gene Annotations: Functional annotations of microbial genes enabling exploration of functional diversity and biological processes within animal-associated microbiomes.
• Cluster Analysis and Pan-Genomic Dynamics: Cluster analysis of microbial cognate genes and pan-genome analyses across 679 bacterial species and 13 archaeal species from animal hosts.

Scientific Applications:

• Microbiome Classification: Characterizing taxonomic composition and diversity of microbial communities associated with different animal hosts.
• Functional Diversity Studies: Investigating functional roles and biological processes mediated by animal-associated microbiota.
• Host-Microbe Interactions: Examining microbial genes and proteins that interact with host organisms and influence host traits.
• Comparative Genomics: Comparing microbial genomes across species to identify conserved and unique genetic features and adaptations.

Methodology:

Integration of metagenomic, metatranscriptomic, and metaproteomic datasets; functional gene annotation; cluster analysis of cognate genes; and pan-genome analysis across bacterial and archaeal species.