Metabolic Synergy between Human Symbionts Bacteroides and Methanobrevibacter
Year: 2022
Type: article
Abstract: The human gut functions through a complex system of interactions between the host human tissue and the microbes which inhabit it. These diverse interactions are difficult to model or examine under controlled laboratory conditions. We studied the interactions between two dominant human gut microbes, B. thetaiotaomicron and M. smithii, using a seven-component culturing approach that allows the systematic examination of the metabolic complexity of this binary microbial system. By combining high-throughput methods with machine learning techniques, we were able to investigate the interactions between two dominant genera of the gut microbiome in a wide variety of environmental conditions. Our approach can be broadly applied to studying microbial interactions and may be extended to evaluate and curate computational metabolic models. The software tools developed for this study are available as user-friendly tutorials in the Department of Energy KBase.
Source: Microbiology Spectrum
Language: English
Topic: Gut microbiota and health
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $2,500
Awards: G1026679911, G1645119126, G166562317, G203625172, G2411683797, EAGER: Bio-inspired Assurance and Regression Testing to Secure Organic Programs, G2584197162, G2988778103, G313676650, CIF: Small: WetComm:Foundations of Wet Communication Theory, Multienzyme complexes of methanogenic archaea, G4819070708, G5726405315, EAGER: TelePathy: Telecommunication Systems Modeling and Engineering of Cell Communication Pathways, G8906985441, G8943143067, Nebraska Center for Integrated Biomolecular Communication (CIBC)
OpenAlex ID: W4229444014