A2 Refereed review article in a scientific journal
Interacting short-term regulatory mechanisms enable the conversion of light energy to chemical energy in photosynthesis
Authors: Tikkanen, Mikko; Aro, Eva-Mari
Publisher: Oxford University Press (OUP)
Publication year: 2025
Journal: Journal of Experimental Botany
Article number: eraf451
ISSN: 0022-0957
eISSN: 1460-2431
DOI: https://doi.org/10.1093/jxb/eraf451
Publication's open availability at the time of reporting: Open Access
Publication channel's open availability : Partially Open Access publication channel
Web address : https://doi.org/10.1093/jxb/eraf451
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/504979478
Photosynthesis is a complex sequence of physical, electrochemical, biochemical and physiological processes that convert light energy and carbon dioxide into sugars. These sugars then provide the energy and carbon backbone for all metabolic pathways involved in plant growth and development. However, if light energy is not managed effectively within the thylakoid membrane, it can destroy the photosynthetic apparatus in an oxygenic environment, generated by photosynthesis itself. Effective photoprotection requires a variety of partially overlapping regulatory mechanisms that control energy, electron and proton transport, and induce changes in the molecular, structural and functional features of the photosynthetic apparatus and the thylakoid architecture. This review focuses on vital regulatory mechanisms and how they cooperate to maintain effective photosynthesis and to protect the thylakoid-embedded photosystems (PSII and PSI) against fatal light-induced damage under fluctuating light conditions. The current understanding of plant light regulation is primarily based on studies conducted under stable laboratory conditions, which limits the physiological relevance of the findings. The need for light regulation is further amplified by its complex interactions with other environmental variables. To bridge the gap between laboratory insights and real-world applicability, new technologies are needed for multi-environmental plant growth and experimentation that leverage artificial intelligence and machine learning.
Downloadable publication This is an electronic reprint of the original article. |
Funding information in the publication:
This work was supported by the Technology Industries of Finland Centennial Foundation and the Jane and 30 Aatos Erkko Foundation.