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利用磁共振技术研究光合放氧中的水氧化

Water oxidation in oxygenic photosynthesis studied by magnetic resonance techniques.

作者信息

Lubitz Wolfgang, Pantazis Dimitrios A, Cox Nicholas

机构信息

Max-Planck-Institut für Chemische Energiekonversion, Mülheim/Ruhr, Germany.

Max-Planck-Institut für Kohlenforschung, Mülheim/Ruhr, Germany.

出版信息

FEBS Lett. 2023 Jan;597(1):6-29. doi: 10.1002/1873-3468.14543. Epub 2022 Dec 2.

Abstract

The understanding of light-induced biological water oxidation in oxygenic photosynthesis is of great importance both for biology and (bio)technological applications. The chemically difficult multistep reaction takes place at a unique protein-bound tetra-manganese/calcium cluster in photosystem II whose structure has been elucidated by X-ray crystallography (Umena et al. Nature 2011, 473, 55). The cluster moves through several intermediate states in the catalytic cycle. A detailed understanding of these intermediates requires information about the spatial and electronic structure of the Mn Ca complex; the latter is only available from spectroscopic techniques. Here, the important role of Electron Paramagnetic Resonance (EPR) and related double resonance techniques (ENDOR, EDNMR), complemented by quantum chemical calculations, is described. This has led to the elucidation of the cluster's redox and protonation states, the valence and spin states of the manganese ions and the interactions between them, and contributed substantially to the understanding of the role of the protein surrounding, as well as the binding and processing of the substrate water molecules, the O-O bond formation and dioxygen release. Based on these data, models for the water oxidation cycle are developed.

摘要

理解光驱动的有氧光合作用中的生物水氧化过程,对生物学和(生物)技术应用都非常重要。这个化学过程复杂的多步反应发生在光系统II中一个独特的与蛋白质结合的四锰/钙簇上,其结构已通过X射线晶体学得以阐明(梅纳等人,《自然》,2011年,第473卷,第55页)。该簇在催化循环中经历几个中间状态。要详细了解这些中间体,需要有关锰钙复合物的空间和电子结构的信息;而后者只能从光谱技术中获得。本文描述了电子顺磁共振(EPR)及相关双共振技术(ENDOR、EDNMR),并辅以量子化学计算,所发挥的重要作用。这使得人们得以阐明该簇的氧化还原和质子化状态、锰离子的价态和自旋状态以及它们之间的相互作用,并极大地有助于理解周围蛋白质的作用,以及底物水分子的结合与处理、O - O键的形成和氧气释放。基于这些数据,人们建立了水氧化循环的模型。

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