تقرير
Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis
العنوان: | Global metabolic interaction network of the human gut microbiota for context-specific community-scale analysis |
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المؤلفون: | Sung, Jaeyun, Kim, Seunghyeon, Cabatbat, Josephine Jill T., Jang, Sungho, Jin, Yong-Su, Jung, Gyoo Yeol, Chia, Nicholas, Kim, Pan-Jun |
المصدر: | Nat. Commun. 8, 15393 (2017) |
سنة النشر: | 2017 |
المجموعة: | Physics (Other) Quantitative Biology |
مصطلحات موضوعية: | Quantitative Biology - Molecular Networks, Physics - Biological Physics, Quantitative Biology - Populations and Evolution |
الوصف: | 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. Comment: Supplementary material is available at the journal website |
نوع الوثيقة: | Working Paper |
DOI: | 10.1038/ncomms15393 |
URL الوصول: | http://arxiv.org/abs/1706.01787 |
رقم الأكسشن: | edsarx.1706.01787 |
قاعدة البيانات: | arXiv |
DOI: | 10.1038/ncomms15393 |
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