title: Integration of a constraint-based metabolic model of Brassica napus developing seeds with (13)C-metabolic flux analysis.
abstract: The use of large-scale or genome-scale metabolic reconstructions for modeling and simulation of plant metabolism and integration of those models with large-scale omics and experimental flux data is becoming increasingly important in plant metabolic research. Here we report an updated version of bna572, a bottom-up reconstruction of oilseed rape (Brassica napus L.; Brassicaceae) developing seeds with emphasis on representation of biomass-component biosynthesis. New features include additional seed-relevant pathways for isoprenoid, sterol, phenylpropanoid, flavonoid, and choline biosynthesis. Being now based on standardized data formats and procedures for model reconstruction, bna572+ is available as a COBRA-compliant Systems Biology Markup Language (SBML) model and conforms to the Minimum Information Requested in the Annotation of Biochemical Models (MIRIAM) standards for annotation of external data resources. Bna572+ contains 966 genes, 671 reactions, and 666 metabolites distributed among 11 subcellular compartments. It is referenced to the Arabidopsis thaliana genome, with gene-protein-reaction (GPR) associations resolving subcellular localization. Detailed mass and charge balancing and confidence scoring were applied to all reactions. Using B. napus seed specific transcriptome data, expression was verified for 78% of bna572+ genes and 97% of reactions. Alongside bna572+ we also present a revised carbon centric model for (13)C-Metabolic Flux Analysis ((13)C-MFA) with all its reactions being referenced to bna572+ based on linear projections. By integration of flux ratio constraints obtained from (13)C-MFA and by elimination of infinite flux bounds around thermodynamically infeasible loops based on COBRA loopless methods, we demonstrate improvements in predictive power of Flux Variability Analysis (FVA). Using this combined approach we characterize the difference in metabolic flux of developing seeds of two B. napus genotypes contrasting in starch and oil content.
authors.affiliation: Biological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.
authors.forename: Jordan O
authors.initials: JO
authors.lastname: Hay
authors.affiliation: Biological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.
authors.forename: Hai
authors.initials: H
authors.lastname: Shi
authors.affiliation: Department of Molecular Genetics, Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung Gatersleben, Germany.
authors.forename: Nicolas
authors.initials: N
authors.lastname: Heinzel
authors.affiliation: Biological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.
authors.forename: Inga
authors.initials: I
authors.lastname: Hebbelmann
authors.affiliation: Department of Molecular Genetics, Leibniz-Institut für Pflanzengenetik und Kulturpflanzenforschung Gatersleben, Germany.
authors.forename: Hardy
authors.initials: H
authors.lastname: Rolletschek
authors.affiliation: Biological, Environment and Climate Sciences Department, Brookhaven National Laboratory Upton, NY, USA.
authors.forename: Jorg
authors.initials: J
authors.lastname: Schwender
keywords: 13C-metabolic flux analysis; carbon partitioning; central metabolism; constraint-based reconstruction and analysis; loopless flux balance analysis