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Review: Metabolomics as a prediction tool for plants performance under environmental stress
Plant Science ( IF 5.2 ) Pub Date : 2021-02-01 , DOI: 10.1016/j.plantsci.2020.110789
Aitor Villate , Markel San Nicolas , Mara Gallastegi , Pierre-Antoine Aulas , Maitane Olivares , Aresatz Usobiaga , Nestor Etxebarria , Oier Aizpurua-Olaizola

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.

中文翻译:

综述:代谢组学作为环境胁迫下植物性能的预测工具

代谢组学作为植物性能的诊断工具已显示出在育种和作物改良方面的良好特征。此外,由于土地面积的限制和气候变化的加剧,以非生物胁迫耐受性为重点的育种项目变得必不可少。目前还没有通用的方法可用于识别预测性代谢标志物。因此,研究目标必须决定最好的方法或方法的组合。为此,我们将介绍有关生长场景和采样策略的关键方面,并讨论可用于寻找植物性能代谢标记的主要分析和数据处理方法。
更新日期:2021-02-01
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