Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis
Abstract
A system-level framework of complex microbe-microbe and host-microbe chemical cross-talk would help elucidate the role of our gut microbiota in health and disease. Here we report a literature-curated interspecies network of the human gut microbiota, called NJS16. This is an extensive data resource composed of ~570 microbial species and 3 human cell types metabolically interacting through >4,400 small-molecule transport and macromolecule degradation events. Based on the contents of our network, we develop a mathematical approach to elucidate representative microbial and metabolic features of the gut microbial community in a given population, such as a disease cohort. Applying this strategy to microbiome data from type 2 diabetes patients reveals a context-specific infrastructure of the gut microbial ecosystem, core microbial entities with large metabolic influence, and frequently-produced metabolic compounds that might indicate relevant community metabolic processes. Our network presents a foundation towards integrative investigations of community-scale microbial activities within the human gut.
Keywords
Cite
@article{arxiv.1706.01787,
title = {Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis},
author = {Jaeyun Sung and Seunghyeon Kim and Josephine Jill T. Cabatbat and Sungho Jang and Yong-Su Jin and Gyoo Yeol Jung and Nicholas Chia and Pan-Jun Kim},
journal= {arXiv preprint arXiv:1706.01787},
year = {2017}
}
Comments
Supplementary material is available at the journal website