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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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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. |
format | Online Article Text |
id | pubmed-4298167 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
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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