Oliver Ebenhöh

Heinrich Heine University Düsseldorf
Country flagGermany

Research Interests

Explore related searches

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (18)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Plants are constantly exposed to changing environments, sometimes leading to extreme conditions and stress. For example, sudden exposure to high light leads to excess absorbed light energy, causing reactive oxygen species (ROS) formation. ROS damages the photosynthetic machinery, particularly the D1 protein in photosystem II (PSII), which, therefore, needs to be continuously repaired and replaced. The effect of the damage inflicted by high light is a prolonged decrease in photosynthetic efficiency. Hence, it is not surprising that photoinhibition has been subject to numerous experimental studies investigating its effects in the context of crop productivity. However, it has become apparent that classical measures of photoinhibition, that is, changes in the chlorophyll fluorescence parameter Fv/Fm, are not only determined by the loss of PSII core function but also by processes such as energy transfer and quenching. Mathematical models can help dissect the influences on such fluorescence signals and quantify the contributions of various interacting mechanisms. We present a mathematical model with a dynamic description of the photosynthetic electron transport chain, non-photochemical quenching and photoinhibition. With our model, we investigate the interconnection among quenching, photoprotection and fluorescence using simulations and experimental data. We found that different energy-dissipating properties of intact and damaged PSIIs, as well as energy transfer between PSIIs, are critical components that need to be included in the model to ensure a satisfactory fit to the experimental data. We envisage that our model provides a framework for future investigations of photoinhibition dynamics and its importance for plant growth and yield.

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Year:

2020

Year:

2020

Collaborators (5)

Wolfram Liebermeister

Université Paris-Saclay

FRANCE
View details

Florian Busch

University of Birmingham

UNITED KINGDOM
View details

Wilken-Jon von Appen

Alfred-Wegener-Institut für Polar und Meeresforschung

GERMANY
View details

Anna Matuszyńska

Junior Professor

RWTH Aachen University

GERMANY
View details

Martin Lercher

Prof.

Heinrich Heine University Düsseldorf

GERMANY
View details
ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.