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综述:代谢组学作为一种预测植物在环境胁迫下性能的工具。

Review: Metabolomics as a prediction tool for plants performance under environmental stress.

机构信息

Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain.

Dinafem Seeds (Pot Sistemak S.L.), 20018, San Sebastian, Basque Country, Spain; Department of Analytical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Basque Country, Spain; Sovereign Fields S.L., 20006, San Sebastian, Basque Country, Spain.

出版信息

Plant Sci. 2021 Feb;303:110789. doi: 10.1016/j.plantsci.2020.110789. Epub 2020 Dec 9.

Abstract

Metabolomics as a diagnosis tool for plant performance has shown good features for breeding and crop improvement. Additionally, due to limitations in land area and the increasing climate changes, breeding projects focusing on abiotic stress tolerance are becoming essential. Nowadays no universal method is available to identify predictive metabolic markers. As a result, research aims must dictate the best method or combination of methods. To this end, we will introduce the key aspects to consider regarding growth scenarios and sampling strategies and discuss major analytical and data treatment approaches that are available to find metabolic markers of plant performance.

摘要

代谢组学作为一种植物表现的诊断工具,在培育和作物改良方面表现出了良好的特性。此外,由于土地面积的限制和气候变化的加剧,专注于非生物胁迫耐受性的培育项目变得至关重要。目前,还没有通用的方法来识别预测性代谢标志物。因此,研究目标必须决定最佳的方法或方法组合。为此,我们将介绍与生长情况和采样策略相关的关键方面,并讨论可用于寻找植物表现代谢标志物的主要分析和数据处理方法。

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