A System Dynamics Approach to Model Photosynthesis at Leaf Level Under Fluctuating Light

Area of Science:

• Plant Physiology
• Biochemical Engineering
• Computational Biology

Background:

• Photosynthesis research often assumes steady-state conditions, which are unrealistic for natural environments.
• Understanding dynamic photosynthetic responses is vital for predicting plant performance under fluctuating light.
• Soybean mutants offer insights into dynamic photosynthesis due to altered responses.

Purpose of the Study:

• To develop and validate a leaf-level System Dynamics model for photosynthesis under dynamic conditions.
• To investigate the differences in dynamic photosynthetic responses between a wild-type soybean and a chlorophyll-deficient mutant.
• To assess the model's ability to predict photosynthetic behavior in fluctuating light environments.

Main Methods:

• A System Dynamics model of photosynthesis was created.
• The model was validated using experimental data from wild-type (Eiko) and mutant (MinnGold) soybean varieties.
• Plants were grown under both constant and fluctuating light conditions.

Main Results:

• The model successfully explained the photosynthetic responses of both soybean varieties to constant and fluctuating light.
• Significant differences in dynamic photosynthetic responses were observed between the wild-type and mutant soybean.
• Model deviations were noted in non-photochemical quenching (NPQ) dynamics, indicating areas for refinement.

Conclusions:

• The developed model provides a valuable tool for studying dynamic photosynthesis in plants.
• The study highlights the importance of dynamic responses for plant adaptation to environmental variability.
• The model serves as a foundation for more complex, upscaled dynamic models at the plant level.