Large-scale metabolic interaction network of the mouse and human gut microbiota (vol 7, 204, 2020)

被引:2
作者
Lim, Roktaek
Cabatbat, Josephine Jill T.
Martin, Thomas L. P.
Kim, Haneul
Kim, Seunghyeon
Sung, Jaeyun
Ghim, Cheol-Min
Kim, Pan-Jun
机构
[1] Hong Kong Baptist University,Department of Biology
[2] Ulsan National Institute of Science and Technology,School of Life Sciences
[3] Asian Institute of Management,Analytics, Computing, and Complex Systems Laboratory
[4] Ulsan National Institute of Science and Technology,Department of Physics
[5] Pohang University of Science and Technology,Department of Physics
[6] Samsung SDS,Microbiome Program
[7] Center for Individualized Medicine,Division of Surgical Research, Department of Surgery
[8] Mayo Clinic,Division of Rheumatology, Department of Internal Medicine
[9] Mayo Clinic,Department of Molecular Pharmacology and Experimental Therapeutics
[10] Mayo Clinic,Center for Quantitative Systems Biology
[11] Mayo Clinic,Institute of Computational and Theoretical Studies
[12] Hong Kong Baptist University,undefined
[13] Hong Kong Baptist University,undefined
[14] Abdus Salam International Centre for Theoretical Physics,undefined
关键词
D O I
10.1038/s41597-020-00615-x
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The role of our gut microbiota in health and disease is largely attributed to the collective metabolic activities of the inhabitant microbes. A system-level framework of the microbial community structure, mediated through metabolite transport, would provide important insights into the complex microbe-microbe and host-microbe chemical interactions. This framework, if adaptable to both mouse and human systems, would be useful for mechanistic interpretations of the vast amounts of experimental data from gut microbiomes in murine animal models, whether humanized or not. Here, we constructed a literature-curated, interspecies network of the mammalian gut microbiota for mouse and human hosts, called NJC19. This network is an extensive data resource, encompassing 838 microbial species (766 bacteria, 53 archaea, and 19 eukaryotes) and 6 host cell types, interacting through 8,224 small-molecule transport and macromolecule degradation events. Moreover, we compiled 912 negative associations between organisms and metabolic compounds that are not transportable or degradable by those organisms. Our network may facilitate experimental and computational endeavors for the mechanistic investigations of host-associated microbial communities.
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页数:1
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  • [1] Lim R, 2020, SCI DATA, V7, DOI 10.1038/s41597-020-0516-5