Literature DB >> 24947339

UHPLC-MS/MS based target profiling of stress-induced phytohormones.

Kristýna Floková1, Danuše Tarkowská1, Otto Miersch1, Miroslav Strnad1, Claus Wasternack1, Ondřej Novák2.   

Abstract

Stress-induced changes in phytohormone metabolite profiles have rapid effects on plant metabolic activity and growth. The jasmonates (JAs) are a group of fatty acid-derived stress response regulators with roles in numerous developmental processes. To elucidate their dual regulatory effects, which overlap with those of other important defence-signalling plant hormones such as salicylic acid (SA), abscisic acid (ABA) and indole-3-acetic acid (IAA), we have developed a highly efficient single-step clean-up procedure for their enrichment from complex plant matrices that enables their sensitive quantitative analysis using hyphenated mass spectrometry technique. The rapid extraction of minute quantities of plant material (less than 20mg fresh weight, FW) into cold 10% methanol followed by one-step reversed-phase polymer-based solid phase extraction significantly reduced matrix effects and increased the recovery of labile JA analytes. This extraction and purification protocol was paired with a highly sensitive and validated ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method and used to simultaneously profile sixteen stress-induced phytohormones in minute plant material samples, including endogenous JA, several of its biosynthetic precursors and derivatives, as well as SA, ABA and IAA.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Abscisic acid; Arabidopsis thaliana; Indole-3-acetic acid; Jasmonates; Salicylic acid; Solid-phase extraction (SPE); Stress-induced phytohormones; Tandem mass spectrometry (MS/MS); Ultra-high performance liquid chromatography (UHPLC)

Mesh:

Substances:

Year:  2014        PMID: 24947339     DOI: 10.1016/j.phytochem.2014.05.015

Source DB:  PubMed          Journal:  Phytochemistry        ISSN: 0031-9422            Impact factor:   4.072


  42 in total

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