Analysis of central carbon and energy metabolisms of growing Arabidopsis thaliana in relation to sucrose translocation
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we describe a multi-compartmental model consisting of a mesophyll cell with plastid and mitochondrion, a phloem cell, as well as a root cell with mitochondrion. In this model, the phloem was considered as a non-growing transport compartment, the mesophyll compartment was considered as both autotrophic (growing on CO2 under light) and heterotrophic (growing on starch in darkness), and the root was always considered as heterotrophic tissue completely dependent on sucrose supply from the mesophyll compartment. In total, the model includes 380 balanced compounds interconnected by 372 transformers. The structured metabolic model accounts for central carbon metabolism, photosynthesis, photorespiration, carbohydrate metabolism, energy and redox metabolisms, proton metabolism, biomass growth, nutrients uptake, proton gradient generation and sucrose translocation between tissues. Biochemical processes in the model were associated with gene-products (742 ORFs) which were validated using mass-spectrometry based proteomic data. Flux Balance Analysis (FBA) of the model resulted in balanced carbon, proton, energy and redox states under both light and dark conditions. Based on the FBA, the model predictes that in light conditions the plastid produced enough ATP to serve the Calvin-Benson cycle and starch formation, and the excess of photosynthetic potential (in form of reducing equivalents) was exported to the mitochondria via malate/oxaloacetate shuttle for ATP synthesis. The main H+-fluxes were reconstructed and sucrose translocation matched with them.
SEEK ID: https://fairdomhub.org/studies/143
Metabolic analysis of effects of sucrose translocation on phenotypic traits of Arabidopsis thaliana
Projects: ZucAt
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Experimentalists: Maksim Zakhartsev
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Created: 21st Dec 2015 at 13:15
Last updated: 18th Apr 2016 at 14:05
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Projects: SysMO DB, FAIRDOM, ICYSB 2015 - International Practical Course in Systems Biology, ZucAt, SysMO-LAB, Kinetics on the move - Workshop 2016, Example use cases, FAIRDOM user meeting, ErasysApp Funders, EraCoBiotech 2 nd call proposal preparation, Service to URV Tarragona, Spain with respect to their Safety Assessment of Endocrine Disrupting Chemicals model (Active NOW), FAIRDOM & LiSyM & de.NBI Data Structuring Training, MESI-STRAT, INCOME, Multiscale modelling of state transitions in the host-microbiome-brain network, BESTER, TRALAMINOL, Sustainable co-production, INDIE - Biotechnological production of sustainable indole, Extremophiles metabolsim, PoLiMeR - Polymers in the Liver: Metabolism and Regulation, OLCIR: Optimization of Lung Cancer Therapy with Ionizing Radiation, NAD COMPARTMENTATION, HOTSOLUTE, Stress granules, FAIRDOM Community Workers, GMDS Project Group "FAIRe Dateninfrastrukturen für die Biomedizinische Informatik", Mechanism based modeling viral disease ( COVID-19 ) dynamics in human population, COVID-19 Disease Map, AquaHealth (ERA-BlueBio), LiSyM Core Infrastructure and Management (LiSyM-PD), Early Metabolic Injury (LiSyM-EMI - Pillar I), Regeneration and Repair in Acute-on-Chronic Liver Failure (LiSyM-ACLF - Pillar III), Chronic Liver Disease Progression (LiSyM-DP - Pillar II), Liver Function Diagnostics (LiSyM-LiFuDi - Pillar IV), The Hedgehog Signalling Pathway (LiSyM-JGMMS), Multi-Scale Models for Personalized Liver Function Tests (LiSyM-MM-PLF), Model Guided Pharmacotherapy In Chronic Liver Disease (LiSyM-MGP), Molecular Steatosis - Imaging & Modeling (LiSyM-MSIM), Modelling COVID-19 epidemics, SNAPPER: Synergistic Neurotoxicology APP for Environmental Regulation, SCyCode The Autotrophy-Heterotrophy Switch in Cyanobacteria: Coherent Decision-Making at Multiple Regulatory Layers, SASKit: Senescence-Associated Systems diagnostics Kit for cancer and stroke, CC-TOP, BioCreative VII, MESI-STRAT Review, SDBV/HITS, MESI-Review 2024
Institutions: Heidelberg Institute for Theoretical Studies (HITS gGmbH), FAIRDOM User meeting, Norwegian University of Science and Technology, University of Rostock, University of Innsbruck
https://orcid.org/0000-0003-3540-0402Expertise: Genetics, Molecular Biology, Bioinformatics, Data Management, Transcriptomics, semantics, Curation, Ontology, Data Modelling
Tools: Cell and tissue culture, Databases, Chip-chip, BioMart, Protege, RightField, SEEK
I am a researcher at the Scientific Databases and Visualization Group at Heidelberg Institute for Theoretical Studies (HITS) , one of the developers of SabioRK - System for the Analysis of Biochemical Pathways - Reaction Kinetics (http://sabiork.h-its.org/) . I am working on design and maintenance of the information systems to store, query and analyse systems biology data; definition and implementation of methods for the integration of data from multiple sources. In **[SySMO-DB ...
Projects: MOSES, ExtremoPharm, ZucAt, GenoSysFat, DigiSal, EraCoBiotech 2 nd call proposal preparation, FAIRDOM & LiSyM & de.NBI Data Structuring Training
Institutions: University of Stuttgart, University of Hohenheim, Norwegian University of Life Sciences, Norwegian University of Science and Technology
https://orcid.org/0000-0002-7973-9902Expertise: Biochemistry, coupling metabolome and environome, rapid sampling experiments, Systems Biology, carbon metabolism, Stoichiometric modelling, Proteomics, Metabolomics, yeast, fungi, Dynamics and Control of Biological Networks
Tools: Biochemistry and protein analysis, Metabolomics, Matlab, Fermentation, Chromatography, Material balance based modeling, stimulus response experiments, continuous cultivation, Enzyme assay, Mass spectrometry (LC-MS/MS), HPLC, GC and LC/MS analysis of metabolites, ODE, Parameter estimation
I've become a SysMO DB PAL for MOSES project in 2007 being a post-doc in lab of Prof. Matthias Reuss at University of Stuttgart. In the MOSES project, our major efforts were in the experimental data acquisition for dynamic model of primary carbon and anaerobic energy metabolism in yeast. The model implements prediction of perturbations of two types: glucose pulse and temperature jump. We implement “stimulus-response” methodology for the unraveling the dynamic structure of the network and to ...
The German Network for Bioinformatics Infrastructure - de.NBI offers first class bioinformatics services including training and education to users in basic and applied life sciences research. In this network 40 projects belonging to eight service centers provide services that cover a wide variety of methods (genomics, proteomics, ...) and applications (from plants to humans). de.NBI-SysBio is the Systems Biology Service Center of de.NBI. In collaboration with FAIRDOM, de.NBI-SysBio serves the ...
Projects: de.NBI-SysBio, ExtremoPharm, ZucAt, Kinetics on the move - Workshop 2016, Example use cases, MIX-UP, Working Group Nicole Radde, MPIEvolBio-SciComp, SABIO-VIS
Web page: http://www.denbi.de
ZucAt - Sucrose (from german Zucker) translocation in Arabidopsis thaliana. Sucrose translocation between plant tissues is crucial for growth, development and reproduction of plants. Systemic analysis of this metabolic process and underlying regulatory processes can help to achieve better understanding of carbon distribution within the plant and the formation of phenotypic traits. Sucrose translocation from ‘source’ tissues (e.g. mesophyll) to ‘sink’ tissues (e.g. root) is tightly bound to the ...
Programme: de.NBI Systems Biology Service Center (de.NBI-SysBio)
Public web page: Not specified
Organisms: Arabidopsis thaliana
Sucrose translocation between plant tissues is crucial for growth, development and reproduction of plants. Systemic analysis of this metabolic process and underlying regulatory processes can help to achieve better understanding of carbon distribution within the plant and the formation of phenotypic traits. Sucrose translocation from ‘source’ tissues (e.g. mesophyll) to ‘sink’ tissues (e.g. root) is tightly bound to the proton gradient across the membranes. The plant sucrose transporters are grouped ...
The multi-compartmental metabolic network of Arabidopsis thaliana was reconstructed and optimized in order to explain growth stoichiometry of the plant both in light and in dark conditions. Balances and turnover of energy (ATP/ADP) and redox (NAD(P)H/NAD(P)) metabolites as well as proton in different compartments were estimated. The model showed that in light conditions, the plastid ATP balance depended on the relationship between fluxes through photorespiration and photosynthesis including both ...
Submitter: Maksim Zakhartsev
Biological problem addressed: Metabolic Network
Investigation: Metabolic analysis of effects of sucrose transl...
Organisms: Arabidopsis thaliana
Models: ZucAt: multi-compartment metabolic model of gro...
SOPs: No SOPs
Data files: ZucAt: FBA constraints for dark conditions, ZucAt: FBA constraints for light conditions, ZucAt: FBA solution of the model under dark gro..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: FBA solution of the model under light gr..., ZucAt: The compound database, ZucAt: The gene database, ZucAt: The stoichiometric matrix of the model, ZucAt: The transformers database, ZucAt: the model documentation
Snapshots: No snapshots
The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; and (ii) cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set 0.1 from non-cyclic flow through FRN (ferredoxin-NADP oxidoreductase). Under this constraints, ATP formed by non-cyclic photophosphorylation is not sufficient to fulfill ATP/NADPH ratio for ...
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in the model under light growth conditions. In this solution, (i) the photorespiration was set to 0; and (ii) cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set of 0.1 of flow through FRN (ferredoxin-NADP oxidoreductase). Under this constraints, ATP is under-produced in plastid and therefore is additionally imported to cytoplasm. Flux through FQR represents cyclic electron flow through ...
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; and (ii) cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set 0.5 from non-cyclic flow through FRN (ferredoxin-NADP oxidoreductase). Under this constraints, ATP is over-produced in plastid and a surplus is exported to cytoplasm. Flux through FQR ...
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; (ii) and ATP transport between plastid and cytoplasm has been set to 0. The last constraint allows finding the ratio between fluxes through FQR (ferredoxin-plastoquinone reductase) and FRN (ferredoxin-NADP oxidoreductase) under which the ATP balance in plastid becomes self-sufficient ...
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The solution of Flux Balance Analysis (FBA) represents metabolic flux distribution in ZucAt model under light growth conditions. In this solution, (i) the ratio photorespiration / photosynthesis has been fixed to 0.25; (ii) and cyclic electron flow through FQR (ferredoxin-plastoquinone reductase) has been set to 0. Under this constraints, ATP formed by non-cyclic photophosphorylation is not sufficient to fulfill ATP/NADPH ratio for carbon fixation, therefore plastid imports ATP from cytoplasm.
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The solution of Flux Balance Analysis (FBA) represent metabolic flux distribution in the model under dark growth conditions (i.e. constraints)
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
Flux Balance Analysis (FBA) constraints for light conditions
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
Flux Balance Analysis (FBA) constraints for dark conditions
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The database in ASCII format includes information on compounds and metabolites (trivial name, elemental composition, charge, external database referece, etc) used in the model
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The database in ASCII format includes information on gene (gene models in ATG format, gene definition, catalyzed reactions in the model, external database refeneces, locus information, etc) used in the model
Creators: Maksim Zakhartsev, Irina Medvedeva
Submitter: Maksim Zakhartsev
The database in ASCII format includes information on transformers [reactions, transport steps, polymerizations] (model's identifier, trivial name, EC number, stoichiometric equation, external database referece, activators, belonging to a pathway, etc) used in the model
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The stoichiometric matrix of the multi-compartment metabolic model of growing Arabidopsis thaliana
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The ASCII file includes complete information on used transformers / compounds / genes and their inter-connection in the model. The Transformer information includes: Identifier name, Trivial name, Stoichiometric equation, Compartment, EC number, Pathway, Associated genes). The Compound information includes: Identifier name, Trivial name, Kegg ID, Compartment. The Gene information includes: ATG code of the genes whose products participate in transformations accounted in the model, Association with ...
Creator: Maksim Zakhartsev
Submitter: Maksim Zakhartsev
The model presents a multi-compartmental (mesophyll, phloem and root) metabolic model of growing Arabidopsis thaliana. The flux balance analysis (FBA) of the model quantifies: sugar metabolism, central carbon and nitrogen metabolism, energy and redox metabolism, proton turnover, sucrose translocation from mesophyll to root and biomass growth under both dark- and light-growth conditions with corresponding growth either on starch (in darkness) or on CO2 (under light). The FBA predicts that ...
Creators: Maksim Zakhartsev, Olga Krebs, Irina Medvedeva, Ilya Akberdin, Yuriy Orlov
Submitter: Maksim Zakhartsev
Model type: Metabolic network
Model format: SBML
Environment: Not specified
Organism: Arabidopsis thaliana
Investigations: Metabolic analysis of effects of sucrose transl... and 1 hidden item
Studies: Analysis of central carbon and energy metabolis... and 1 hidden item
Assays: Flux Balance Analysis of multi-compartment meta... and 1 hidden item