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豌豆叶片在振荡光下光合作用调控的研究进展

Insights on the regulation of photosynthesis in pea leaves exposed to oscillating light.

机构信息

Department of Biophysics, Faculty of Science, Palacký University, Šlechtitelů 27, 783 71 Olomouc, Czech Republic.

Institute of Bio- and Geosciences/Plant Sciences (IBG-2), Forschungszentrum Jülich, Wilhelm-Johnen-Straße, D-52428 Jülich, Germany.

出版信息

J Exp Bot. 2022 Oct 18;73(18):6380-6393. doi: 10.1093/jxb/erac283.

DOI:10.1093/jxb/erac283
PMID:36036782
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9578350/
Abstract

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.

摘要

植物在自然环境中生长时通常会经历光照强度的波动。然而,在实验室中,通常通过瞬间将暗适应的植物暴露在恒定光下并研究暗至光的转变来探索光合作用的动态,这与自然现象相差甚远。为了更好地模拟自然现象,我们让豌豆(Pisum sativum)的叶片暴露在振荡光下,并测量 PSI 和 PSII 的功能以及类囊体膜上的质子动力的变化。我们发现,动力学取决于振荡周期,揭示了关于潜在调控网络的信息。如针对 60 秒的选定振荡周期所示,调控试图使 PSI 和 PSII 的反应中心保持开放。我们对获得的数据进行了评估,并讨论了光合作用调控中特定过程的参与。强制振荡为复杂调控网络提供了丰富的信息特征。我们期望通过涉及化学干预和植物突变体的实验,以及使用数学建模和系统识别和控制工具,在理解这些网络方面取得未来的进展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/0ad6fcc9e5a0/erac283f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/04dd4e79351b/erac283f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/78fe45acdd7c/erac283f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/8f0873820b13/erac283f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/0ad6fcc9e5a0/erac283f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/04dd4e79351b/erac283f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/78fe45acdd7c/erac283f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/8f0873820b13/erac283f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6fb4/9578350/0ad6fcc9e5a0/erac283f0004.jpg

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Front Plant Sci. 2022 Jul 28;13:945675. doi: 10.3389/fpls.2022.945675. eCollection 2022.
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Plant Physiol. 2021 Oct 5;187(2):646-661. doi: 10.1093/plphys/kiab317.
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Photosynthetica. 2023 May 12;61(3):275-284. doi: 10.32615/ps.2023.016. eCollection 2023.
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