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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11160%2F18%3A10383055" target="_blank" >RIV/00216208:11160/18:10383055 - isvavai.cz</a>

  • Alternative codes found

    RIV/61389030:_____/18:00489589 RIV/61989592:15310/18:73592226

  • Result on the web

    <a href="http://academic.oup.com/jxb/article/69/10/2569/4919650" target="_blank" >http://academic.oup.com/jxb/article/69/10/2569/4919650</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/jxb/ery084" target="_blank" >10.1093/jxb/ery084</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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 (&lt;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 (&gt;100 samples d(-1)) is a valuable tool to screen for novel regulators of auxin metabolism and homeostasis among large collections of genotypes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10406 - Analytical chemistry

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2018

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Experimental Botany

  • ISSN

    0022-0957

  • e-ISSN

  • Volume of the periodical

    69

  • Issue of the periodical within the volume

    10

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    11

  • Pages from-to

    2569-2579

  • UT code for WoS article

    000431251900011

  • EID of the result in the Scopus database

    2-s2.0-85046280384