Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis
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- Title
- Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis
- Authors
- Sung, J.; Kim, Seunghyeon; Cabatbat, J.J.T.; Jang, S.; Jin, Y.-S.; Gyoo Yeol Jung; Chia, N.; Kim, P.-J.
- Date Issued
- 2017-06
- Publisher
- Nature Publishing Group
- 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 ? 1/4570 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. ? The Author(s) 2017.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/39098
- DOI
- 10.1038/NCOMMS15393
- ISSN
- 2041-1723
- Article Type
- Article
- Citation
- Nature Communications, vol. 8, page. 15393, 2017-06
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