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GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems

Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define...

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Autores principales: Rellán-Álvarez, Rubén, Lobet, Guillaume, Lindner, Heike, Pradier, Pierre-Luc, Sebastian, Jose, Yee, Muh-Ching, Geng, Yu, Trontin, Charlotte, LaRue, Therese, Schrager-Lavelle, Amanda, Haney, Cara H, Nieu, Rita, Maloof, Julin, Vogel, John P, Dinneny, José R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589753/
https://www.ncbi.nlm.nih.gov/pubmed/26287479
http://dx.doi.org/10.7554/eLife.07597
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author Rellán-Álvarez, Rubén
Lobet, Guillaume
Lindner, Heike
Pradier, Pierre-Luc
Sebastian, Jose
Yee, Muh-Ching
Geng, Yu
Trontin, Charlotte
LaRue, Therese
Schrager-Lavelle, Amanda
Haney, Cara H
Nieu, Rita
Maloof, Julin
Vogel, John P
Dinneny, José R
author_facet Rellán-Álvarez, Rubén
Lobet, Guillaume
Lindner, Heike
Pradier, Pierre-Luc
Sebastian, Jose
Yee, Muh-Ching
Geng, Yu
Trontin, Charlotte
LaRue, Therese
Schrager-Lavelle, Amanda
Haney, Cara H
Nieu, Rita
Maloof, Julin
Vogel, John P
Dinneny, José R
author_sort Rellán-Álvarez, Rubén
collection PubMed
description Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes. DOI: http://dx.doi.org/10.7554/eLife.07597.001
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spelling pubmed-45897532015-10-01 GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems Rellán-Álvarez, Rubén Lobet, Guillaume Lindner, Heike Pradier, Pierre-Luc Sebastian, Jose Yee, Muh-Ching Geng, Yu Trontin, Charlotte LaRue, Therese Schrager-Lavelle, Amanda Haney, Cara H Nieu, Rita Maloof, Julin Vogel, John P Dinneny, José R eLife Plant Biology Root systems develop different root types that individually sense cues from their local environment and integrate this information with systemic signals. This complex multi-dimensional amalgam of inputs enables continuous adjustment of root growth rates, direction, and metabolic activity that define a dynamic physical network. Current methods for analyzing root biology balance physiological relevance with imaging capability. To bridge this divide, we developed an integrated-imaging system called Growth and Luminescence Observatory for Roots (GLO-Roots) that uses luminescence-based reporters to enable studies of root architecture and gene expression patterns in soil-grown, light-shielded roots. We have developed image analysis algorithms that allow the spatial integration of soil properties, gene expression, and root system architecture traits. We propose GLO-Roots as a system that has great utility in presenting environmental stimuli to roots in ways that evoke natural adaptive responses and in providing tools for studying the multi-dimensional nature of such processes. DOI: http://dx.doi.org/10.7554/eLife.07597.001 eLife Sciences Publications, Ltd 2015-08-19 /pmc/articles/PMC4589753/ /pubmed/26287479 http://dx.doi.org/10.7554/eLife.07597 Text en © 2015, Rellán-Álvarez et al http://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Plant Biology
Rellán-Álvarez, Rubén
Lobet, Guillaume
Lindner, Heike
Pradier, Pierre-Luc
Sebastian, Jose
Yee, Muh-Ching
Geng, Yu
Trontin, Charlotte
LaRue, Therese
Schrager-Lavelle, Amanda
Haney, Cara H
Nieu, Rita
Maloof, Julin
Vogel, John P
Dinneny, José R
GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
title GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
title_full GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
title_fullStr GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
title_full_unstemmed GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
title_short GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
title_sort glo-roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
topic Plant Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589753/
https://www.ncbi.nlm.nih.gov/pubmed/26287479
http://dx.doi.org/10.7554/eLife.07597
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