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Dynamic Contrast for Plant Phenotyping
[Image: see text] Noninvasiveness, minimal handling, and immediate response are favorable features of fluorescence readout for high-throughput phenotyping of labeled plants.Yet, remote fluorescence imaging may suffer from an autofluorescent background and artificial or natural ambient light. In this...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331089/ https://www.ncbi.nlm.nih.gov/pubmed/32637783 http://dx.doi.org/10.1021/acsomega.0c00957 |
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author | Kelemen, Zsolt Zhang, Ruikang Gissot, Lionel Chouket, Raja Bellec, Yannick Croquette, Vincent Jullien, Ludovic Faure, Jean-Denis Le Saux, Thomas |
author_facet | Kelemen, Zsolt Zhang, Ruikang Gissot, Lionel Chouket, Raja Bellec, Yannick Croquette, Vincent Jullien, Ludovic Faure, Jean-Denis Le Saux, Thomas |
author_sort | Kelemen, Zsolt |
collection | PubMed |
description | [Image: see text] Noninvasiveness, minimal handling, and immediate response are favorable features of fluorescence readout for high-throughput phenotyping of labeled plants.Yet, remote fluorescence imaging may suffer from an autofluorescent background and artificial or natural ambient light. In this work, the latter limitations are overcome by adopting reversibly photoswitchable fluorescent proteins (RSFPs) as labels and Speed OPIOM (out-of-phase imaging after optical modulation), a fluorescence imaging protocol exploiting dynamic contrast. Speed OPIOM can efficiently distinguish the RSFP signal from autofluorescence and other spectrally interfering fluorescent reporters like GFP. It can quantitatively assess gene expressions, even when they are weak. It is as quantitative, sensitive, and robust in dark and bright light conditions. Eventually, it can be used to nondestructively record abiotic stress responses like water or iron limitations in real time at the level of individual plants and even of specific organs. Such Speed OPIOM validation could find numerous applications to identify plant lines in selection programs, design plants as environmental sensors, or ecologically monitor transgenic plants in the environment. |
format | Online Article Text |
id | pubmed-7331089 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73310892020-07-06 Dynamic Contrast for Plant Phenotyping Kelemen, Zsolt Zhang, Ruikang Gissot, Lionel Chouket, Raja Bellec, Yannick Croquette, Vincent Jullien, Ludovic Faure, Jean-Denis Le Saux, Thomas ACS Omega [Image: see text] Noninvasiveness, minimal handling, and immediate response are favorable features of fluorescence readout for high-throughput phenotyping of labeled plants.Yet, remote fluorescence imaging may suffer from an autofluorescent background and artificial or natural ambient light. In this work, the latter limitations are overcome by adopting reversibly photoswitchable fluorescent proteins (RSFPs) as labels and Speed OPIOM (out-of-phase imaging after optical modulation), a fluorescence imaging protocol exploiting dynamic contrast. Speed OPIOM can efficiently distinguish the RSFP signal from autofluorescence and other spectrally interfering fluorescent reporters like GFP. It can quantitatively assess gene expressions, even when they are weak. It is as quantitative, sensitive, and robust in dark and bright light conditions. Eventually, it can be used to nondestructively record abiotic stress responses like water or iron limitations in real time at the level of individual plants and even of specific organs. Such Speed OPIOM validation could find numerous applications to identify plant lines in selection programs, design plants as environmental sensors, or ecologically monitor transgenic plants in the environment. American Chemical Society 2020-06-16 /pmc/articles/PMC7331089/ /pubmed/32637783 http://dx.doi.org/10.1021/acsomega.0c00957 Text en Copyright © 2020 American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Kelemen, Zsolt Zhang, Ruikang Gissot, Lionel Chouket, Raja Bellec, Yannick Croquette, Vincent Jullien, Ludovic Faure, Jean-Denis Le Saux, Thomas Dynamic Contrast for Plant Phenotyping |
title | Dynamic Contrast for Plant Phenotyping |
title_full | Dynamic Contrast for Plant Phenotyping |
title_fullStr | Dynamic Contrast for Plant Phenotyping |
title_full_unstemmed | Dynamic Contrast for Plant Phenotyping |
title_short | Dynamic Contrast for Plant Phenotyping |
title_sort | dynamic contrast for plant phenotyping |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7331089/ https://www.ncbi.nlm.nih.gov/pubmed/32637783 http://dx.doi.org/10.1021/acsomega.0c00957 |
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