title: Metabolic network modeling of microbial communities.
abstract: Genome-scale metabolic network reconstructions and constraint-based analyses are powerful methods that have the potential to make functional predictions about microbial communities. Genome-scale metabolic networks are used to characterize the metabolic functions of microbial communities via several techniques including species compartmentalization, separating species-level and community-level objectives, dynamic analysis, the 'enzyme-soup' approach, multiscale modeling, and others. There are many challenges in the field, including a need for tools that accurately assign high-level omics signals to individual community members, the need for improved automated network reconstruction methods, and novel algorithms for integrating omics data and engineering communities. As technologies and modeling frameworks improve, we expect that there will be corresponding advances in the fields of ecology, health science, and microbial community engineering.
authors.affiliation: Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
authors.forename: Matthew B
authors.initials: MB
authors.lastname: Biggs
authors.affiliation: Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
authors.forename: Gregory L
authors.initials: GL
authors.lastname: Medlock
authors.affiliation: Department of Medicine, Infectious Diseases, University of Virginia, Charlottesville, VA, USA.
authors.forename: Glynis L
authors.initials: GL
authors.lastname: Kolling
authors.affiliation: Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, USA.
authors.forename: Jason A
authors.initials: JA
authors.lastname: Papin
mesh_terms: D000465:Algorithms; D060847:Metabolic Engineering; D055432:Metabolomics; D059013:Microbial Consortia; D008954:Models, Biological; D049490:Systems Biology