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代谢组学在解析植物非生物胁迫耐受性中的应用:特别关注渗透胁迫和重金属毒性

Applications of Metabolomics for the Elucidation of Abiotic Stress Tolerance in Plants: A Special Focus on Osmotic Stress and Heavy Metal Toxicity.

作者信息

Mashabela Manamele Dannies, Masamba Priscilla, Kappo Abidemi Paul

机构信息

Department of Biochemistry, Faculty of Science, University of Johannesburg, Auckland Park Kingsway Campus, P.O. Box 524, Johannesburg 2006, South Africa.

出版信息

Plants (Basel). 2023 Jan 6;12(2):269. doi: 10.3390/plants12020269.

Abstract

Plants undergo metabolic perturbations under various abiotic stress conditions; due to their sessile nature, the metabolic network of plants requires continuous reconfigurations in response to environmental stimuli to maintain homeostasis and combat stress. The comprehensive analysis of these metabolic features will thus give an overview of plant metabolic responses and strategies applied to mitigate the deleterious effects of stress conditions at a biochemical level. In recent years, the adoption of metabolomics studies has gained significant attention due to the growing technological advances in analytical biochemistry (plant metabolomics). The complexity of the plant biochemical landscape requires sophisticated, advanced analytical methods. As such, technological advancements in the field of metabolomics have been realized, aided much by the development and refinement of separatory techniques, including liquid and gas chromatography (LC and GC), often hyphenated to state-of-the-art detection instruments such as mass spectrometry (MS) or nuclear resonance magnetic (NMR) spectroscopy. Significant advances and developments in these techniques are briefly highlighted in this review. The enormous progress made thus far also comes with the dawn of the Internet of Things (IoT) and technology housed in machine learning (ML)-based computational tools for data acquisition, mining, and analysis in the 4IR era allowing for broader metabolic coverage and biological interpretation of the cellular status of plants under varying environmental conditions. Thus, scientists can paint a holistic and comprehensive roadmap and predictive models for metabolite-guided crop improvement. The current review outlines the application of metabolomics and related technological advances in elucidating plant responses to abiotic stress, mainly focusing on heavy metal toxicity and subsequent osmotic stress tolerance.

摘要

植物在各种非生物胁迫条件下会经历代谢扰动;由于其固着的特性,植物的代谢网络需要不断重新配置以响应环境刺激,从而维持体内平衡并抵御胁迫。因此,对这些代谢特征进行全面分析将概述植物的代谢反应以及在生化水平上减轻胁迫条件有害影响所采用的策略。近年来,由于分析生物化学(植物代谢组学)技术的不断进步,代谢组学研究的应用受到了广泛关注。植物生化领域的复杂性需要复杂、先进的分析方法。因此,在分离技术(包括液相色谱和气相色谱(LC和GC))的发展和完善的推动下,代谢组学领域实现了技术进步,这些分离技术通常与质谱(MS)或核磁共振(NMR)光谱等先进检测仪器联用。本综述简要强调了这些技术的重大进展和发展。迄今为止取得的巨大进步也伴随着物联网(IoT)的兴起以及机器学习(ML)计算工具中的技术,用于在4IR时代进行数据采集、挖掘和分析,从而能够更广泛地覆盖植物在不同环境条件下的代谢情况并对其细胞状态进行生物学解释。因此,科学家可以绘制出代谢物引导作物改良的整体综合路线图和预测模型。本综述概述了代谢组学及其相关技术进步在阐明植物对非生物胁迫反应中的应用,主要关注重金属毒性以及随后的渗透胁迫耐受性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/52c0/9860948/7df29ce2a50c/plants-12-00269-g001.jpg

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