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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...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2015
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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 |
format | Online Article Text |
id | pubmed-4589753 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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