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Related Experiment Videos

Modelling photosynthesis and its control.

M G Poolman1, D A Fell, S Thomas

  • 1School of Biological and Molecular Sciences, Oxford Brookes University, Headington, UK. mark@bms.brookes.ac.uk

Journal of Experimental Botany
|August 12, 2000
PubMed
Summary
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This study models the Calvin cycle, revealing alternate steady states in carbon assimilation. Enzyme control varies across different metabolic fluxes, offering insights into plant responses.

Area of Science:

  • Plant biochemistry
  • Photosynthesis
  • Metabolic modeling

Background:

  • The Calvin cycle is central to photosynthesis, converting CO2 into sugars.
  • Previous models often assumed equilibrium for reversible reactions, limiting dynamic insights.
  • Understanding flux control is crucial for optimizing plant carbon metabolism.

Purpose of the Study:

  • To develop a dynamic computer model of the Calvin cycle without equilibrium assumptions.
  • To investigate steady-state behaviors, including hysteresis and alternate states.
  • To identify key enzymes controlling carbon assimilation and related metabolic fluxes.

Main Methods:

  • Computer simulation of chloroplast Calvin cycle reactions.
  • Inclusion of starch synthesis/degradation and triose phosphate export.

Related Experiment Videos

  • Calculation of flux control coefficients for enzyme influence analysis.

    • Main Results:

    • The model exhibits distinct low and high carbon assimilation steady states.
    • Hysteresis observed in transitions between states, influenced by phosphate and light.
    • Sedoheptulose bisphosphatase and Rubisco show high control over assimilation flux.
    • Triose phosphate translocator gains influence when considering starch and export fluxes.

    Conclusions:

    • Dynamic modeling without equilibrium assumptions reveals complex Calvin cycle behaviors.
    • Enzyme control is flux-specific, highlighting the importance of relative enzyme activities.
    • Model predictions align with experimental observations in transgenic plants, validating its utility.