Insights on the regulation of photosynthesis in pea leaves exposed to oscillating light
Jazyk angličtina Země Anglie, Velká Británie Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
Grantová podpora
Horizon Europe
101046451
Pathfinder Open 2021
03SF0576A
Federal Ministry of Education and Research of Germany
PubMed
36036782
PubMed Central
PMC9578350
DOI
10.1093/jxb/erac283
PII: 6678514
Knihovny.cz E-zdroje
- Klíčová slova
- Pisum sativum, Fluctuating light, forced oscillations, pea, photosynthesis, photosystem I and II, proton motive force, regulation,
- MeSH
- fotosyntéza fyziologie MeSH
- fotosystém I - proteinový komplex metabolismus MeSH
- fotosystém II - proteinový komplex * metabolismus MeSH
- hrách setý * metabolismus MeSH
- listy rostlin metabolismus MeSH
- rostliny metabolismus MeSH
- světlo MeSH
- transport elektronů fyziologie MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- fotosystém I - proteinový komplex MeSH
- fotosystém II - proteinový komplex * MeSH
Plants growing in nature often experience fluctuating irradiance. However, in the laboratory, the dynamics of photosynthesis are usually explored by instantaneously exposing dark-adapted plants to constant light and examining the dark-to-light transition, which is a poor approximation of natural phenomena. With the aim creating a better approximation, we exposed leaves of pea (Pisum sativum) to oscillating light and measured changes in the functioning of PSI and PSII, and of the proton motive force at the thylakoid membrane. We found that the dynamics depended on the oscillation period, revealing information about the underlying regulatory networks. As demonstrated for a selected oscillation period of 60 s, the regulation tries to keep the reaction centers of PSI and PSII open. We present an evaluation of the data obtained, and discuss the involvement of particular processes in the regulation of photosynthesis. The forced oscillations provided an information-rich fingerprint of complex regulatory networks. We expect future progress in understanding these networks from experiments involving chemical interventions and plant mutants, and by using mathematical modeling and systems identification and control tools.
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From leaf to multiscale models of photosynthesis: applications and challenges for crop improvement