MetaTOR

MetaTOR leverages three-dimensional genome organization from chromosome conformation capture (3C/Hi-C) meta3C data to bin metagenomic contigs and recover high-quality metagenome-assembled genomes (MAGs) from complex microbial communities.

Key Features:

• 3D Contact Frequency Analysis: Bins DNA contigs into individual genomes based on 3D contact frequencies quantified from proximity-ligation 3C/Hi-C experiments.
• Integration with meta3C Libraries: Tailored for meta3C libraries that capture the spatial organization of microbial genomes, including samples from the mice gut microbiota.
• Enhanced MAG Recovery: In a study of 20 meta3C libraries from mice gut microbiota, MetaTOR recovered 82 high-quality MAGs from a merged 763-Mb assembly versus nine high-quality MAGs recovered from a single library using hybrid binning software such as MetaBAT or CONCOCT.
• Scalability via Library Merging: Merges data from multiple meta3C libraries to increase resolution and completeness of metagenomic assemblies, improving recovery of genomes and community-level analyses.

Scientific Applications:

• Microbial Ecology: Resolving spatial organization and interactions within complex microbial communities.
• Evolutionary Biology: Investigating evolutionary dynamics of microbes within natural communities using genome-resolved data.
• Functional Genomics: Enabling exploration of gene content, function, and regulation within recovered MAGs from metagenomes.

Methodology:

MetaTOR bins contigs into genomes using 3D contact frequencies measured by proximity-ligation chromosome conformation capture (3C/Hi-C) applied to meta3C libraries and allows merging of multiple meta3C libraries prior to binning.