Whole-Plant Live Imaging of Reactive Oxygen Species

Yosef Fichman, Gad Miller, Ron Mittler

Research output: Contribution to journalArticlepeer-review

162 Scopus citations

Abstract

Reactive oxygen species (ROS) are key regulators of numerous subcellular, cellular, and systemic signals. They function in plants as an integral part of many different hormonal, physiological, and developmental pathways, as well as play a critical role in defense and acclimation responses to different biotic and abiotic conditions. Although many ROS imaging techniques have been developed and utilized in plants, a whole-plant imaging platform for the dynamic detection of ROS in mature plants is lacking. Here we report a robust and straightforward method for the whole-plant live imaging of ROS in mature plants grown in soil. This new method could be used to study local and systemic ROS signals in different genetic variants, conduct phenotyping studies to identify new pathways for ROS signaling, monitor the stress level of different plants and mutants, and unravel novel routes of ROS integration into stress, growth regulation, and development in plants. We demonstrate the utility of this new method for studying systemic ROS signals in different Arabidopsis mutants and wound responses in cereals such as wheat and corn. A robust and straightforward method for the whole-plant live imaging of reactive oxygen species (ROS) in mature plants grown in soil is described. This method could be used to study systemic ROS signaling in different mutants, conduct phenotyping studies, monitor plant stress, and unravel novel routes of ROS integration into stress, growth regulation, and development in plants.

Original languageEnglish
Pages (from-to)1203-1210
Number of pages8
JournalMolecular Plant
Volume12
Issue number9
DOIs
StatePublished - 2 Sep 2019

Bibliographical note

Publisher Copyright:
© 2019 The Authors

Funding

This work was supported by funding from the National Science Foundation ( IOS-1353886 , IOS-1063287 , MCB-1613462 ) and the University of Missouri .

FundersFunder number
National Science FoundationIOS-1063287, MCB-1613462, IOS-1353886
University of Missouri

    Keywords

    • ROS
    • live imaging
    • stress
    • systemic signaling
    • whole plant

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