title: Mathematical models of plant metabolism.
abstract: Among various modeling approaches in plant metabolic research, applications of Constraint-Based modeling are fast increasing in recent years, apparently driven by current advances in genomics and genome sequencing. Constraint-Based modeling, the functional analysis of metabolic networks at the whole cell or genome scale, is more difficult to apply to plants than to microbes. Here we discuss recent developments in Constraint-Based modeling in plants with focus on issues of model reconstruction and flux prediction. Another topic is the emerging application of integration of Constraint-Based modeling with omics data to increase predictive power. Furthermore, advances in experimental measurements of cellular fluxes by (13)C-Metabolic Flux Analysis are highlighted, including instationary (13)C-MFA used to probe autotrophic metabolism in photosynthetic tissue in the light.
authors.affiliation: Biological, Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, United States.
authors.forename: Hai
authors.initials: H
authors.lastname: Shi
authors.affiliation: Biological, Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11973, United States. Electronic address: Schwend@bnl.gov.
authors.forename: Jörg
authors.initials: J
authors.lastname: Schwender
mesh_terms: D018745:Genome, Plant; D064688:Metabolic Flux Analysis; D053858:Metabolic Networks and Pathways; D008954:Models, Biological; D008962:Models, Theoretical; D010788:Photosynthesis; D010944:Plants / Q000378:metabolism*