Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis

Jaeyun Sung, Seunghyeon Kim, Josephine Jill T. Cabatbat, Sungho Jang, Yong-Su Jin, Gyoo Yeol Jung, Nicholas Chia and Pan-Jun Kim ()
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Jaeyun Sung: Asia Pacific Center for Theoretical Physics
Seunghyeon Kim: Asia Pacific Center for Theoretical Physics
Josephine Jill T. Cabatbat: Asia Pacific Center for Theoretical Physics
Sungho Jang: Pohang University of Science and Technology
Yong-Su Jin: University of Illinois at Urbana-Champaign
Gyoo Yeol Jung: Pohang University of Science and Technology
Nicholas Chia: Microbiome Program, Center for Individualized Medicine, Mayo Clinic
Pan-Jun Kim: Asia Pacific Center for Theoretical Physics

Nature Communications, 2017, vol. 8, issue 1, 1-12

Abstract: 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.

Date: 2017
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DOI: 10.1038/ncomms15393

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