ArticleFrontiers in plant science2014
Integration of a constraint-based metabolic model of Brassica napus developing seeds with (13)C-metabolic flux analysis.
Article in Frontiers in plant science, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- Application of Metabolomics in Defence Responses ofMetabolites · 2026Review
- 13C-labeling reveals non-conventional pathways providing carbon for hydroxy fatty acid synthesis in Physaria fendleri.Journal of experimental botany · 2024Article
- Mechanisms of metabolic adaptation in the duckweed Lemna gibba: an integrated metabolic, transcriptomic and flux analysis.BMC plant biology · 2023Article
- Toward mechanistic modeling and rational engineering of plant respiration.Plant physiology · 2023Article
- Progress in understanding and improving oil content and quality in seeds.Frontiers in plant science · 2023Review
- Hot isopropanol quenching procedure for automated microtiter plate scaleMicrobial cell factories · 2022Article
- An expanded role for the transcription factorFrontiers in plant science · 2022Article
- Elucidation of Triacylglycerol Overproduction in the CFrontiers in plant science · 2022Article
- Cellular Plasticity in Response to Suppression of Storage Proteins in theThe Plant cell · 2020Article
- Sink/Source Balance of Leaves Influences Amino Acid Pools and Their Associated Metabolic Fluxes in Winter Oilseed Rape (Metabolites · 2020Article
- Systematic Multi-Omics Integration (MOI) Approach in Plant Systems Biology.Frontiers in plant science · 2020Review
- Shoot tip culture: a step towards 13C metabolite flux analysis of sink leaf metabolism.Plant methods · 2019Article
- APlant methods · 2018Article
- Fast-SNP: a fast matrix pre-processing algorithm for efficient loopless flux optimization of metabolic models.Bioinformatics (Oxford, England) · 2016Article
- Genome-Scale Model Reveals Metabolic Basis of Biomass Partitioning in a Model Diatom.PloS one · 2016Article
- Modeling Rice Metabolism: From Elucidating Environmental Effects on Cellular Phenotype to Guiding Crop Improvement.Frontiers in plant science · 2016Review
- Metabolic Architecture of the Cereal Grain and Its Relevance to Maximize Carbon Use Efficiency.Plant physiology · 2015Article
- Quantitative Multilevel Analysis of Central Metabolism in Developing Oilseeds of Oilseed Rape during in Vitro Culture.Plant physiology · 2015Article
- Transcript abundance on its own cannot be used to infer fluxes in central metabolism.Frontiers in plant science · 2014Article
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6 authors.
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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.
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