Literature DB >> 29243271

Dynamic modelling of limitations on improving leaf CO2 assimilation under fluctuating irradiance.

Alejandro Morales1, Elias Kaiser2, Xinyou Yin1, Jeremy Harbinson2, Jaap Molenaar3, Steven M Driever1, Paul C Struik1.   

Abstract

A dynamic model of leaf CO2 assimilation was developed as an extension of the canonical steady-state model, by adding the effects of energy-dependent non-photochemical quenching (qE), chloroplast movement, photoinhibition, regulation of enzyme activity in the Calvin cycle, metabolite concentrations, and dynamic CO2 diffusion. The model was calibrated and tested successfully using published measurements of gas exchange and chlorophyll fluorescence on Arabidopsis thaliana ecotype Col-0 and several photosynthetic mutants and transformants affecting the regulation of Rubisco activity (rca-2 and rwt43), non-photochemical quenching (npq4-1 and npq1-2), and sucrose synthesis (spsa1). The potential improvements on CO2 assimilation under fluctuating irradiance that can be achieved by removing the kinetic limitations on the regulation of enzyme activities, electron transport, and stomatal conductance were calculated in silico for different scenarios. The model predicted that the rates of activation of enzymes in the Calvin cycle and stomatal opening were the most limiting (up to 17% improvement) and that effects varied with the frequency of fluctuations. On the other hand, relaxation of qE and chloroplast movement had a strong effect on average low-irradiance CO2 assimilation (up to 10% improvement). Strong synergies among processes were found, such that removing all kinetic limitations simultaneously resulted in improvements of up to 32%.
© 2017 The Authors Plant, Cell & Environment Published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Arabidopsis; Rubisco; Rubisco activase; lightflecks; photosynthesis; stomatal conductance; sunflecks

Mesh:

Substances:

Year:  2018        PMID: 29243271     DOI: 10.1111/pce.13119

Source DB:  PubMed          Journal:  Plant Cell Environ        ISSN: 0140-7791            Impact factor:   7.228


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