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PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification

We developed the PHIV-RootCell software to quantify anatomical traits of rice roots transverse section images. Combined with an efficient root sample processing method for image acquisition, this program permits supervised measurements of areas (those of whole root section, stele, cortex, and centra...

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Autores principales: Lartaud, Marc, Perin, Christophe, Courtois, Brigitte, Thomas, Emilie, Henry, Sophia, Bettembourg, Mathilde, Divol, Fanchon, Lanau, Nadege, Artus, Florence, Bureau, Charlotte, Verdeil, Jean-Luc, Sarah, Gautier, Guiderdoni, Emmanuel, Dievart, Anne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4298167/
https://www.ncbi.nlm.nih.gov/pubmed/25646121
http://dx.doi.org/10.3389/fpls.2014.00790
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author Lartaud, Marc
Perin, Christophe
Courtois, Brigitte
Thomas, Emilie
Henry, Sophia
Bettembourg, Mathilde
Divol, Fanchon
Lanau, Nadege
Artus, Florence
Bureau, Charlotte
Verdeil, Jean-Luc
Sarah, Gautier
Guiderdoni, Emmanuel
Dievart, Anne
author_facet Lartaud, Marc
Perin, Christophe
Courtois, Brigitte
Thomas, Emilie
Henry, Sophia
Bettembourg, Mathilde
Divol, Fanchon
Lanau, Nadege
Artus, Florence
Bureau, Charlotte
Verdeil, Jean-Luc
Sarah, Gautier
Guiderdoni, Emmanuel
Dievart, Anne
author_sort Lartaud, Marc
collection PubMed
description We developed the PHIV-RootCell software to quantify anatomical traits of rice roots transverse section images. Combined with an efficient root sample processing method for image acquisition, this program permits supervised measurements of areas (those of whole root section, stele, cortex, and central metaxylem vessels), number of cell layers and number of cells per cell layer. The PHIV-RootCell toolset runs under ImageJ, an independent operating system that has a license-free status. To demonstrate the usefulness of PHIV-RootCell, we conducted a genetic diversity study and an analysis of salt stress responses of root anatomical parameters in rice (Oryza sativa L.). Using 16 cultivars, we showed that we could discriminate between some of the varieties even at the 6 day-olds stage, and that tropical japonica varieties had larger root sections due to an increase in cell number. We observed, as described previously, that root sections become enlarged under salt stress. However, our results show an increase in cell number in ground tissues (endodermis and cortex) but a decrease in external (peripheral) tissues (sclerenchyma, exodermis, and epidermis). Thus, the PHIV-RootCell program is a user-friendly tool that will be helpful for future genetic and physiological studies that investigate root anatomical trait variations.
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spelling pubmed-42981672015-02-02 PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification Lartaud, Marc Perin, Christophe Courtois, Brigitte Thomas, Emilie Henry, Sophia Bettembourg, Mathilde Divol, Fanchon Lanau, Nadege Artus, Florence Bureau, Charlotte Verdeil, Jean-Luc Sarah, Gautier Guiderdoni, Emmanuel Dievart, Anne Front Plant Sci Plant Science We developed the PHIV-RootCell software to quantify anatomical traits of rice roots transverse section images. Combined with an efficient root sample processing method for image acquisition, this program permits supervised measurements of areas (those of whole root section, stele, cortex, and central metaxylem vessels), number of cell layers and number of cells per cell layer. The PHIV-RootCell toolset runs under ImageJ, an independent operating system that has a license-free status. To demonstrate the usefulness of PHIV-RootCell, we conducted a genetic diversity study and an analysis of salt stress responses of root anatomical parameters in rice (Oryza sativa L.). Using 16 cultivars, we showed that we could discriminate between some of the varieties even at the 6 day-olds stage, and that tropical japonica varieties had larger root sections due to an increase in cell number. We observed, as described previously, that root sections become enlarged under salt stress. However, our results show an increase in cell number in ground tissues (endodermis and cortex) but a decrease in external (peripheral) tissues (sclerenchyma, exodermis, and epidermis). Thus, the PHIV-RootCell program is a user-friendly tool that will be helpful for future genetic and physiological studies that investigate root anatomical trait variations. Frontiers Media S.A. 2015-01-19 /pmc/articles/PMC4298167/ /pubmed/25646121 http://dx.doi.org/10.3389/fpls.2014.00790 Text en Copyright © 2015 Lartaud, Perin, Courtois, Thomas, Henry, Bettembourg, Divol, Lanau, Artus, Bureau, Verdeil, Sarah, Guiderdoni and Dievart. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Lartaud, Marc
Perin, Christophe
Courtois, Brigitte
Thomas, Emilie
Henry, Sophia
Bettembourg, Mathilde
Divol, Fanchon
Lanau, Nadege
Artus, Florence
Bureau, Charlotte
Verdeil, Jean-Luc
Sarah, Gautier
Guiderdoni, Emmanuel
Dievart, Anne
PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification
title PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification
title_full PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification
title_fullStr PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification
title_full_unstemmed PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification
title_short PHIV-RootCell: a supervised image analysis tool for rice root anatomical parameter quantification
title_sort phiv-rootcell: a supervised image analysis tool for rice root anatomical parameter quantification
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4298167/
https://www.ncbi.nlm.nih.gov/pubmed/25646121
http://dx.doi.org/10.3389/fpls.2014.00790
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