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揭示水稻吸收锌过程中植物络合素的作用方式:地球化学梯度和准确稳定常数的重要性。

Unravelling the modus operandi of phytosiderophores during zinc uptake in rice: the importance of geochemical gradients and accurate stability constants.

机构信息

Department of Earth Science and Engineering, Imperial College London, London, UK.

Instituto de Ciencia Molecular, University of Valencia, Paterna, Spain.

出版信息

J Exp Bot. 2021 Feb 27;72(5):1517-1526. doi: 10.1093/jxb/eraa580.

Abstract

Micronutrient deficiencies threaten global food production. Attempts to biofortify crops rely on a clear understanding of micronutrient uptake processes. Zinc deficiency in rice is a serious problem. One of the pathways proposed for the transfer of zinc from soils into rice plants involves deoxymugineic acid (DMA), a phytosiderophore. The idea that phytosiderophores play a wider role in nutrition of Poaceae beyond iron is well established. However, key mechanistic details of the DMA-assisted zinc uptake pathway in rice remain uncertain. In particular, questions surround the form in which zinc from DMA is taken up [i.e. as free aqueous Zn(II) or as Zn(II)-DMA complexes] and the role of competitive behaviour of other metals with DMA. We propose that an accurate description of the effect of changes in pH, ligand concentration, and ionic strength on the stability of Zn(II)-DMA complexes in the presence of other metals in the microenvironment around root cells is critical for understanding the modus operandi of DMA during zinc uptake. To that end, we reveal the importance of geochemical changes in the microenvironment around root cells and demonstrate the effect of inaccurate stability constants on speciation models.

摘要

微量营养素缺乏威胁全球粮食生产。尝试生物强化作物依赖于对微量营养素吸收过程的清晰理解。水稻缺锌是一个严重的问题。从土壤向水稻植株中转移锌的途径之一涉及到去氧麦根碱(DMA),一种植物螯合肽。植物螯合肽在禾本科植物的营养中除了铁之外发挥更广泛的作用的观点已经得到很好的确立。然而,DMA 辅助锌吸收途径在水稻中的关键机制细节仍然不确定。特别是,围绕从 DMA 中摄取的锌的形式(即游离水合 Zn(II)或 Zn(II)-DMA 配合物)以及其他金属与 DMA 的竞争行为的问题。我们提出,准确描述在根细胞周围微环境中存在其他金属时,pH 值、配体浓度和离子强度变化对 Zn(II)-DMA 配合物稳定性的影响,对于理解 DMA 在锌吸收过程中的作用方式至关重要。为此,我们揭示了根细胞周围微环境中地球化学变化的重要性,并证明了不稳定常数不精确对形态模型的影响。

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