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Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?

BACKGROUND: The root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotyping root systems in situ is not suited to high-throughput methods, leading to the development of non-d...

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Autores principales: Guimarães, Paulo Henrique Ramos, de Lima, Isabela Pereira, de Castro, Adriano Pereira, Lanna, Anna Cristina, Guimarães Santos Melo, Patrícia, de Raïssac, Marcel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492358/
https://www.ncbi.nlm.nih.gov/pubmed/32930888
http://dx.doi.org/10.1186/s12284-020-00404-5
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author Guimarães, Paulo Henrique Ramos
de Lima, Isabela Pereira
de Castro, Adriano Pereira
Lanna, Anna Cristina
Guimarães Santos Melo, Patrícia
de Raïssac, Marcel
author_facet Guimarães, Paulo Henrique Ramos
de Lima, Isabela Pereira
de Castro, Adriano Pereira
Lanna, Anna Cristina
Guimarães Santos Melo, Patrícia
de Raïssac, Marcel
author_sort Guimarães, Paulo Henrique Ramos
collection PubMed
description BACKGROUND: The root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotyping root systems in situ is not suited to high-throughput methods, leading to the development of non-destructive methods for evaluations in more or less controlled root environments. This study used a root phenotyping platform with a panel of 20 japonica rice accessions in order to: (i) assess their genetic diversity for a set of structural and morphological root traits and classify the different types; (ii) analyze the plastic response of their root system to a water deficit at reproductive phase and (iii) explore the ability of the platform for high-throughput phenotyping of root structure and morphology. RESULTS: High variability for the studied root traits was found in the reduced set of accessions. Using eight selected traits under irrigated conditions, five root clusters were found that differed in root thickness, branching index and the pattern of fine and thick root distribution along the profile. When water deficit occurred at reproductive phase, some accessions significantly reduced root growth compared to the irrigated treatment, while others stimulated it. It was found that root cluster, as defined under irrigated conditions, could not predict the plastic response of roots under drought. CONCLUSIONS: This study revealed the possibility of reconstructing the structure of root systems from scanned images. It was thus possible to significantly class root systems according to simple structural traits, opening up the way for using such a platform for medium to high-throughput phenotyping. The study also highlighted the uncoupling between root structures under non-limiting water conditions and their response to drought.
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spelling pubmed-74923582020-09-28 Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought? Guimarães, Paulo Henrique Ramos de Lima, Isabela Pereira de Castro, Adriano Pereira Lanna, Anna Cristina Guimarães Santos Melo, Patrícia de Raïssac, Marcel Rice (N Y) Original Article BACKGROUND: The root system plays a major role in plant growth and development and root system architecture is reported to be the main trait related to plant adaptation to drought. However, phenotyping root systems in situ is not suited to high-throughput methods, leading to the development of non-destructive methods for evaluations in more or less controlled root environments. This study used a root phenotyping platform with a panel of 20 japonica rice accessions in order to: (i) assess their genetic diversity for a set of structural and morphological root traits and classify the different types; (ii) analyze the plastic response of their root system to a water deficit at reproductive phase and (iii) explore the ability of the platform for high-throughput phenotyping of root structure and morphology. RESULTS: High variability for the studied root traits was found in the reduced set of accessions. Using eight selected traits under irrigated conditions, five root clusters were found that differed in root thickness, branching index and the pattern of fine and thick root distribution along the profile. When water deficit occurred at reproductive phase, some accessions significantly reduced root growth compared to the irrigated treatment, while others stimulated it. It was found that root cluster, as defined under irrigated conditions, could not predict the plastic response of roots under drought. CONCLUSIONS: This study revealed the possibility of reconstructing the structure of root systems from scanned images. It was thus possible to significantly class root systems according to simple structural traits, opening up the way for using such a platform for medium to high-throughput phenotyping. The study also highlighted the uncoupling between root structures under non-limiting water conditions and their response to drought. Springer US 2020-09-15 /pmc/articles/PMC7492358/ /pubmed/32930888 http://dx.doi.org/10.1186/s12284-020-00404-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Original Article
Guimarães, Paulo Henrique Ramos
de Lima, Isabela Pereira
de Castro, Adriano Pereira
Lanna, Anna Cristina
Guimarães Santos Melo, Patrícia
de Raïssac, Marcel
Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_full Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_fullStr Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_full_unstemmed Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_short Phenotyping Root Systems in a Set of Japonica Rice Accessions: Can Structural Traits Predict the Response to Drought?
title_sort phenotyping root systems in a set of japonica rice accessions: can structural traits predict the response to drought?
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7492358/
https://www.ncbi.nlm.nih.gov/pubmed/32930888
http://dx.doi.org/10.1186/s12284-020-00404-5
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