Phloem pp 345-369 | Cite as

Using a Multi-compartmental Metabolic Model to Predict Carbon Allocation in Arabidopsis thaliana

  • Maksim ZakhartsevEmail author
Part of the Methods in Molecular Biology book series (MIMB, volume 2014)


The molecular mechanism of loading/unloading of sucrose into/from the phloem plays an important role in sucrose translocation among plant tissues. Perturbation of this mechanism results in growth phenotypes of a plant. In order to better understand the coupling of sucrose translocation with metabolic processes a multi-compartmental metabolic network of Arabidopsis thaliana was reconstructed and optimized with respect to biomass growth, both in light and in dark conditions. The model can be used to perform flux balance analysis of metabolic fluxes through the central carbon metabolism and catabolic and anabolic pathways. Balances and turnover of energy (ATP/ADP) and redox metabolites (NAD(P)H/NAD(P)) as well as proton concentrations in different compartments can be estimated. Importantly, the model can be used to quantify the translocation of sucrose from source to sink tissues through phloem in association with an integral balance of protons, which in turn is defined by the operational modes of the energy metabolism (light and dark conditions). This chapter describes how a multi-compartmental model to predict carbon allocation is constructed and used.

Key words

Energy metabolism Multi-compartment metabolic model Central carbon metabolism Sucrose metabolism Sucrose transport Flux balance analysis Diurnal growth 



The author acknowledges Prof. Dr. Waltraud X. Schulze (Plant Systems Biology, University of Hohenheim, Stuttgart, Germany) for the collaboration in this research, which has been supported by a research grant of the German Research foundation (DFG). This publication has been supported by Research Council of Norway grant 248792, project of Digital Life Norway in which Norwegian University of Life Sciences (NMBU) is the node for Digital Production Biology.


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© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Centre for Integrative GeneticsNorwegian University of Life SciencesÅsNorway
  2. 2.Plant Systems BiologyUniversity of HohenheimStuttgartGermany

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