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Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions

Studies on plant–pathogen interactions often involve monitoring disease symptoms or responses of the host plant to pathogen‐derived immunogenic patterns, either visually or by staining the plant tissue. Both these methods have limitations with respect to resolution, reproducibility, and the ability...

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Autores principales: Landeo Villanueva, Sergio, Malvestiti, Michele C., van Ieperen, Wim, Joosten, Matthieu H. A. J., van Kan, Jan A. L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865082/
https://www.ncbi.nlm.nih.gov/pubmed/33497519
http://dx.doi.org/10.1111/mpp.13027
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author Landeo Villanueva, Sergio
Malvestiti, Michele C.
van Ieperen, Wim
Joosten, Matthieu H. A. J.
van Kan, Jan A. L.
author_facet Landeo Villanueva, Sergio
Malvestiti, Michele C.
van Ieperen, Wim
Joosten, Matthieu H. A. J.
van Kan, Jan A. L.
author_sort Landeo Villanueva, Sergio
collection PubMed
description Studies on plant–pathogen interactions often involve monitoring disease symptoms or responses of the host plant to pathogen‐derived immunogenic patterns, either visually or by staining the plant tissue. Both these methods have limitations with respect to resolution, reproducibility, and the ability to quantify the results. In this study we show that red light detection by the red fluorescent protein (RFP) channel of a multipurpose fluorescence imaging system that is probably available in many laboratories can be used to visualize plant tissue undergoing cell death. Red light emission is the result of chlorophyll fluorescence on thylakoid membrane disassembly during the development of a programmed cell death process. The activation of programmed cell death can occur during either a hypersensitive response to a biotrophic pathogen or an apoptotic cell death triggered by a necrotrophic pathogen. Quantifying the intensity of the red light signal enables the magnitude of programmed cell death to be evaluated and provides a readout of the plant immune response in a faster, safer, and nondestructive manner when compared to previously developed chemical staining methodologies. This application can be implemented to screen for differences in symptom severity in plant–pathogen interactions, and to visualize and quantify in a more sensitive and objective manner the intensity of the plant response on perception of a given immunological pattern. We illustrate the utility and versatility of the method using diverse immunogenic patterns and pathogens.
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spelling pubmed-78650822021-02-16 Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions Landeo Villanueva, Sergio Malvestiti, Michele C. van Ieperen, Wim Joosten, Matthieu H. A. J. van Kan, Jan A. L. Mol Plant Pathol Technical Advances Studies on plant–pathogen interactions often involve monitoring disease symptoms or responses of the host plant to pathogen‐derived immunogenic patterns, either visually or by staining the plant tissue. Both these methods have limitations with respect to resolution, reproducibility, and the ability to quantify the results. In this study we show that red light detection by the red fluorescent protein (RFP) channel of a multipurpose fluorescence imaging system that is probably available in many laboratories can be used to visualize plant tissue undergoing cell death. Red light emission is the result of chlorophyll fluorescence on thylakoid membrane disassembly during the development of a programmed cell death process. The activation of programmed cell death can occur during either a hypersensitive response to a biotrophic pathogen or an apoptotic cell death triggered by a necrotrophic pathogen. Quantifying the intensity of the red light signal enables the magnitude of programmed cell death to be evaluated and provides a readout of the plant immune response in a faster, safer, and nondestructive manner when compared to previously developed chemical staining methodologies. This application can be implemented to screen for differences in symptom severity in plant–pathogen interactions, and to visualize and quantify in a more sensitive and objective manner the intensity of the plant response on perception of a given immunological pattern. We illustrate the utility and versatility of the method using diverse immunogenic patterns and pathogens. John Wiley and Sons Inc. 2021-01-26 /pmc/articles/PMC7865082/ /pubmed/33497519 http://dx.doi.org/10.1111/mpp.13027 Text en © 2021 The Authors. Molecular Plant Pathology published by British Society for Plant Pathology and John Wiley & Sons Ltd This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Technical Advances
Landeo Villanueva, Sergio
Malvestiti, Michele C.
van Ieperen, Wim
Joosten, Matthieu H. A. J.
van Kan, Jan A. L.
Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions
title Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions
title_full Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions
title_fullStr Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions
title_full_unstemmed Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions
title_short Red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions
title_sort red light imaging for programmed cell death visualization and quantification in plant–pathogen interactions
topic Technical Advances
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7865082/
https://www.ncbi.nlm.nih.gov/pubmed/33497519
http://dx.doi.org/10.1111/mpp.13027
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