A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä

Interacting short-term regulatory mechanisms enable the conversion of light energy to chemical energy in photosynthesis




TekijätTikkanen, Mikko; Aro, Eva-Mari

KustantajaOxford University Press (OUP)

Julkaisuvuosi2025

Lehti: Journal of Experimental Botany

Artikkelin numeroeraf451

ISSN0022-0957

eISSN1460-2431

DOIhttps://doi.org/10.1093/jxb/eraf451

Julkaisun avoimuus kirjaamishetkelläAvoimesti saatavilla

Julkaisukanavan avoimuus Osittain avoin julkaisukanava

Verkko-osoitehttps://doi.org/10.1093/jxb/eraf451

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/504979478


Tiivistelmä

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.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.




Julkaisussa olevat rahoitustiedot
This work was supported by the Technology Industries of Finland Centennial Foundation and the Jane and 30 Aatos Erkko Foundation.


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