ArticlePhotosynthesis research2022
Bridging the gap between Kok-type and kinetic models of photosynthetic electron transport within Photosystem II.
Article in Photosynthesis research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Pathway(s) and distribution of photosystem II-cyclic electron flow.Biochemical Society transactions · 2026Review
- Exceptional Quantum Efficiency Powers Biomass Production in Halotolerant Algae Picochlorum sp.Photosynthesis research · 2024Article
- Regulation of Microalgal Photosynthetic Electron Transfer.Plants (Basel, Switzerland) · 2024Review
- Regulation of light energy conversion between linear and cyclic electron flow within photosystem II controlled by the plastoquinone/quinol redox poise.Photosynthesis research · 2023Article
- Cyclic electron flow around photosystem II in silico: How it works and functions in vivo.Photosynthesis research · 2023Article
- Prying into the green black-box.Photosynthesis research · 2022Review
- Merits and Demerits of ODE Modeling of Physicochemical Systems for Numerical Simulations.Molecules (Basel, Switzerland) · 2022Review
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Authors and funding
3 authors at 1 institution in 2 countries.
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Abstract
Historically, two modeling approaches have been developed independently to describe photosynthetic electron transport (PET) from water to plastoquinone within Photosystem II (PSII): Markov models account for losses from finite redox transition probabilities but predict no reaction kinetics, and ordinary differential equation (ODE) models account for kinetics but not for redox inefficiencies. We have developed an ODE mathematical framework to calculate Markov inefficiencies of transition probabilities as defined in Joliot-Kok-type catalytic cycles. We adapted a previously published ODE model for PET within PSII that accounts for 238 individual steps to enable calculation of the four photochemical inefficiency parameters (miss, double hit, inactivation, backward transition) and the four redox accumulation states (S-states) that are predicted by the most advanced of the Joliot-Kok-type models (VZAD). Using only reaction kinetic parameters without other assumptions, the RODE-calculated time-averaged (e.g., equilibrium) inefficiency parameters and equilibrium S-state populations agree with those calculated by time-independent Joliot-Kok models. RODE also predicts their time-dependent values during transient photochemical steps for all 96 microstates involving PSII redox cofactors. We illustrate applications to two cyanobacteria, Arthrospira maxima and Synechococcus sp. 7002, where experimental data exists for the inefficiency parameters and the S-state populations, and historical data for plant chloroplasts as benchmarks. Significant findings: RODE predicts the microstates responsible for period-4 and period-2 oscillations of O
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