MICOM: Metagenome-Scale Modeling To Infer Metabolic Interactions in the Gut Microbiota

• Published in: mSystems Vol. 5; no. 1
• Main Authors: Diener, Christian, Gibbons, Sean M., Resendis-Antonio, Osbaldo
• Format: Journal Article
• Language: English
• Published: United States American Society for Microbiology 21.01.2020
• Subjects: Antidiabetics; Bacteria; Biomass; Community composition; Crohn's disease; Diabetes; Diabetes mellitus (insulin dependent); Diabetes mellitus (non-insulin dependent); Diet; Digestive system; Fatty acids; flux balance analysis; Genera; Genomes; Growth rate; gut microbiome; Gut microbiota; Intestinal microflora; Mathematical models; Metabolism; Metabolites; metagenome; Metagenomics; Metformin; Microbiomes; Microbiota; Niches; Novel Systems Biology Techniques; Probiotics; Propionic acid; Research Article; Syntrophism; systems biology; systems biology; gut microbiome; metagenome; flux balance analysis

The bacterial communities that live within the human gut have been linked to health and disease. However, we are still just beginning to understand how those bacteria interact and what potential interventions to our gut microbiome can make us healthier. Here, we present a mathematical modeling frame...