代谢组学
仿形(计算机编程)
计算生物学
生物
植物
生物信息学
计算机科学
操作系统
作者
Jan Šimura,Ioanna Antoniadi,Jitka Široká,Danu¡e Tarkowská,Miroslav Strnad,Karin Ljung,Ondřej Novák
出处
期刊:Plant Physiology
[Oxford University Press]
日期:2018-04-27
卷期号:177 (2): 476-489
被引量:432
摘要
Phytohormones are physiologically important small molecules that play essential roles in intricate signaling networks that regulate diverse processes in plants. We present a method for the simultaneous targeted profiling of 101 phytohormone-related analytes from minute amounts of fresh plant material (less than 20 mg). Rapid and nonselective extraction, fast one-step sample purification, and extremely sensitive ultra-high-performance liquid chromatography-tandem mass spectrometry enable concurrent quantification of the main phytohormone classes: cytokinins, auxins, brassinosteroids, gibberellins, jasmonates, salicylates, and abscisates. We validated this hormonomic approach in salt-stressed and control Arabidopsis (Arabidopsis thaliana) seedlings, quantifying a total of 43 endogenous compounds in both root and shoot samples. Subsequent multivariate statistical data processing and cross-validation with transcriptomic data highlighted the main hormone metabolites involved in plant adaptation to salt stress.
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