Počet záznamů: 1  

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

  1. 1.
    0489589 - ÚEB 2019 RIV GB eng J - Článek v odborném periodiku
    Pěnčík, Aleš - Casanova-Sáez, R. - Pilařová, V. - Žukauskaitė, Asta - Pinto, R. - Micol, J.L. - Ljung, K. - Novák, Ondřej
    Ultra-rapid auxin metabolite profiling for high-throughput mutant screening in Arabidopsis.
    Journal of Experimental Botany. Roč. 69, č. 10 (2018), s. 2569-2579. ISSN 0022-0957. E-ISSN 1460-2431
    Grant CEP: GA ČR(CZ) GJ17-21581Y
    Institucionální podpora: RVO:61389030
    Klíčová slova: Arabidopsis thaliana * auxin * metabolite profiling * multivariate data analysis * mutant * screening
    Obor OECD: Plant sciences, botany
    Impakt faktor: 5.360, rok: 2018

    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.
    Trvalý link: http://hdl.handle.net/11104/0283974

     
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