TY - JOUR
T1 - Large-scale metabolic interaction network of the mouse and human gut microbiota
AU - Lim, Roktaek
AU - Cabatbat, Josephine Jill T.
AU - Martin, Thomas L.P.
AU - Kim, Haneul
AU - Kim, Seunghyeon
AU - Sung, Jaeyun
AU - Ghim, Cheol Min
AU - Kim, Pan Jun
N1 - Funding Information:
We thank John F. Baines and Philipp Rausch for kindly providing wild-caught mouse metagenome data, and Jonathan W. Johnson for preparing most icons in Fig. 1. This work was supported by Hong Kong Baptist University, Faculty Research Grant Category II (FRG2/17-18/097) and Start-up Grant Tier 2 (RC-SGT2/18-19/ SCI/001). This work was conducted using the resources of the High Performance Cluster Computing Centre, Hong Kong Baptist University, which receives funding from Research Grant Council, University Grant Committee of the HKSAR and Hong Kong Baptist University.
PY - 2020/12/1
Y1 - 2020/12/1
N2 - 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.
AB - 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.
UR - https://doi.org/10.1038/s41597-020-00615-x
UR - http://www.scopus.com/inward/record.url?scp=85086830733&partnerID=8YFLogxK
U2 - 10.1038/s41597-020-0516-5
DO - 10.1038/s41597-020-0516-5
M3 - Journal article
C2 - 32591517
AN - SCOPUS:85086830733
SN - 2052-4463
VL - 7
JO - Scientific data
JF - Scientific data
IS - 1
M1 - 204
ER -