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分析方法检测植物代谢组在生物和非生物胁迫下的变化。

Analytical Methods for Detection of Plant Metabolomes Changes in Response to Biotic and Abiotic Stresses.

机构信息

Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznań, Poland.

Institute of Plant Genetics, Polish Academy of Sciences, Strzeszynska 34, 60-479 Poznań, Poland.

出版信息

Int J Mol Sci. 2019 Jan 17;20(2):379. doi: 10.3390/ijms20020379.

Abstract

Abiotic and biotic stresses are the main reasons of substantial crop yield losses worldwide. Research devoted to reveal mechanisms of plant reactions during their interactions with the environment are conducted on the level of genome, transcriptome, proteome, and metabolome. Data obtained during these studies would permit to define biochemical and physiological mechanisms of plant resistance or susceptibility to affecting factors/stresses. Metabolomics based on mass spectrometric techniques is an important part of research conducted in the direction of breeding new varieties of crop plants tolerant to the affecting stresses and possessing good agronomical features. Studies of this kind are carried out on model, crop and resurrection plants. Metabolites profiling yields large sets of data and due to this fact numerous advanced statistical and bioinformatic methods permitting to obtain qualitative and quantitative evaluation of the results have been developed. Moreover, advanced integration of metabolomics data with these obtained on other omics levels: genome, transcriptome and proteome should be carried out. Such a holistic approach would bring us closer to understanding biochemical and physiological processes of the cell and whole plant interacting with the environment and further apply these observations in successful breeding of stress tolerant or resistant crop plants.

摘要

非生物和生物胁迫是全球作物产量大幅减少的主要原因。为了揭示植物在与环境相互作用过程中的反应机制,人们在基因组、转录组、蛋白质组和代谢组水平上进行了研究。在这些研究中获得的数据将有助于确定植物对影响因素/胁迫的抗性或易感性的生化和生理机制。基于质谱技术的代谢组学是在培育对影响胁迫具有耐受性且具有良好农艺特性的作物新品种方向进行研究的重要组成部分。这种研究在模式植物、作物和复苏植物上进行。代谢物分析产生了大量的数据,因此开发了许多先进的统计和生物信息学方法,以对结果进行定性和定量评估。此外,还应将代谢组学数据与在其他组学水平(基因组、转录组和蛋白质组)上获得的数据进行先进的整合。这种整体方法将使我们更深入地了解细胞和整个植物与环境相互作用的生化和生理过程,并进一步将这些观察结果应用于成功培育抗胁迫或耐受胁迫的作物植物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ad61/6358739/c898aeb9b931/ijms-20-00379-g001.jpg

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