MiMiC

MiMiC generates minimal synthetic microbial consortia from shotgun metagenomes to reproduce the functional repertoires of complex environmental and host-associated microbial communities.

Key Features:

• Comprehensive Genome Database: Uses a database of 22,627 species-level bacterial and archaeal genomes represented as binary vectors of 17,929 Pfam protein families.
• Iterative Scoring System: Employs an iterative scoring mechanism based on maximal match-to-mismatch ratios between input metagenome Pfam binary vectors and database genome vectors.
• Functional Repertoire Preservation: Selects minimal communities that better recapitulate source community functional profiles while maintaining habitat-specific features, outperforming random selection and communities formed solely by the most abundant members.
• Resolution and Specificity: Pfam vectorization retains sufficient resolution to differentiate metagenomic profiles across diverse microbial communities, including six distinct environmental and host-derived samples (n=937).
• Species Selection Capability: Accurately recovered 23 of 25 target species from the database when applied to a mixture of known microbes.

Scientific Applications:

• Model System Development: Creates reduced-complexity model systems that retain essential community functions for studying microbial community dynamics and interactions.
• Functional Analysis: Enables exploration of community functional potential and metabolic processes from shotgun metagenomes using Pfam-based comparisons.
• Microbial Ecology Studies: Supports investigation of habitat-specific features and ecological roles of environmental microbiomes.

Methodology:

Constructs binary presence/absence vectors for each genome based on Pfam protein families, compares these vectors to Pfam binary vectors derived from input shotgun metagenomes, and iteratively selects species using a scoring system that optimizes maximal match-to-mismatch ratios.