title: From next-generation sequencing to systematic modeling of the gut microbiome.
abstract: Changes in the human gut microbiome are associated with altered human metabolism and health, yet the mechanisms of interactions between microbial species and human metabolism have not been clearly elucidated. Next-generation sequencing has revolutionized the human gut microbiome research, but most current applications concentrate on studying the microbial diversity of communities and have at best provided associations between specific gut bacteria and human health. However, little is known about the inner metabolic mechanisms in the gut ecosystem. Here we review recent progress in modeling the metabolic interactions of gut microbiome, with special focus on the utilization of metabolic modeling to infer host-microbe interactions and microbial species interactions. The systematic modeling of metabolic interactions could provide a predictive understanding of gut microbiome, and pave the way to synthetic microbiota design and personalized-microbiome medicine and healthcare. Finally, we discuss the integration of metabolic modeling and gut microbiome engineering, which offer a new way to explore metabolic interactions across members of the gut microbiota.
authors.affiliation: Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology , Göteborg, Sweden.
authors.forename: Boyang
authors.initials: B
authors.lastname: Ji
authors.affiliation: Division of Systems and Synthetic Biology, Department of Biology and Biological Engineering, Chalmers University of Technology , Göteborg, Sweden.
authors.forename: Jens
authors.initials: J
authors.lastname: Nielsen
keywords: gut microbiome; metabolic modeling; next-generation sequencing; personalized medicine; species interactome; systematic modeling