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High-throughput quantitative analysis of phytohormones in sorghum leaf and root tissue by ultra-performance liquid chromatography-mass spectrometry

Authors :
Daniel P. Schachtman
Lisa M. Wolfe
Corey D. Broeckling
Jay S. Kirkwood
Jessica E. Prenni
Amy M. Sheflin
Courtney E. Jahn
Source :
Analytical and Bioanalytical Chemistry. 411:4839-4848
Publication Year :
2019
Publisher :
Springer Science and Business Media LLC, 2019.

Abstract

Plant development, growth, and adaptation to stress are regulated by phytohormones, which can influence physiology even at low concentrations. Phytohormones are chemically grouped according to both structure and function as auxins, cytokinins, abscisic acid, jasmonates, salicylates, gibberellins, and brassinosteroids, among others. This chemical diversity and requirement for highly sensitive detection in complex matrices create unique challenges for comprehensive phytohormone analysis. Here, we present a robust and efficient quantitative UPLC-MS/MS assay for 17 phytohormones, including jasmonates, salicylates, abscisic acid, gibberellins, cytokinins, and auxins. Using this assay, 12 phytohormones were detected and quantified in sorghum plant tissue without the need for solid phase extraction (SPE) or liquid-liquid extraction. Variation of phytohormone profiles was explored in both root and leaf tissues between three genotypes, harvested at two different developmental time points. The results highlight the importance of tissue type, sampling time, and genetic factors when designing experiments that involve phytohormone analysis of sorghum. This research lays the groundwork for future studies, which can combine phytohormone profiling with other datasets such as transcriptome, soil microbiome, genome, and metabolome data, to provide important functional information about adaptation to stress and other environmental variables.

Details

ISSN :
16182650 and 16182642
Volume :
411
Database :
OpenAIRE
Journal :
Analytical and Bioanalytical Chemistry
Accession number :
edsair.doi.dedup.....c9a56c786e59f64b9bd501d0b0489b11