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Ultra-rapid auxin metabolite profiling for high-throughput mutant screening in Arabidopsis

SYSNO ASEP	0489589
Document Type	J - Journal Article
R&D Document Type	Journal Article
Subsidiary J	Článek ve WOS
Title	Ultra-rapid auxin metabolite profiling for high-throughput mutant screening in Arabidopsis
Author(s)	Pěnčík, Aleš (UEB-Q)_{ORCID, RID, SAI} Casanova-Sáez, R. (SE) Pilařová, V. (CZ) Žukauskaitė, Asta (UEB-Q)_ORCID Pinto, R. (FR) Micol, J.L. (ES) Ljung, K. (SE) Novák, Ondřej (UEB-Q)_{RID, ORCID, SAI}
Number of authors	8
Source Title	Journal of Experimental Botany. - : Oxford University Press - ISSN 0022-0957 Roč. 69, č. 10 (2018), s. 2569-2579
Number of pages	11 s.
Language	eng - English
Country	GB - United Kingdom
Keywords	Arabidopsis thaliana ; auxin ; metabolite profiling ; multivariate data analysis ; mutant ; screening
Subject RIV	ED - Physiology
OECD category	Plant sciences, botany
R&D Projects	GJ17-21581Y GA ČR - Czech Science Foundation (CSF)
Institutional support	UEB-Q - RVO:61389030
UT WOS	000431251900011
EID SCOPUS	85046280384
DOI	10.1093/jxb/ery084
Annotation	Auxin (indole-3-acetic acid, IAA) plays fundamental roles as a signalling molecule during numerous plant growth and development processes. The formation of local auxin gradients and auxin maxima/minima, which is very important for these processes, is regulated by auxin metabolism (biosynthesis, degradation, and conjugation) as well as transport. When studying auxin metabolism pathways it is crucial to combine data obtained from genetic investigations with the identification and quantification of individual metabolites. Thus, to facilitate efforts to elucidate auxin metabolism and its roles in plants, we have developed a high-throughput method for simultaneously quantifying IAA and its key metabolites in minute samples ( < 10 mg FW) of Arabidopsis thaliana tissues by in-tip micro solid-phase extraction and fast LC-tandem MS. As a proof of concept, we applied the method to a collection of Arabidopsis mutant lines and identified lines with altered IAA metabolite profiles using multivariate data analysis. Finally, we explored the correlation between IAA metabolite profiles and IAA-related phenotypes. The developed rapid analysis of large numbers of samples ( > 100 samples d1) is a valuable tool to screen for novel regulators of auxin metabolism and homeostasis among large collections of genotypes.
Workplace	Institute of Experimental Botany
Contact	David Klier, knihovna@ueb.cas.cz, Tel.: 220 390 469
Year of Publishing	2019

Number of the records: 1