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

Abstract

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.

Authors:
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Publication Date:
Research Org.:
Carnegie Institution for Science, Stanford, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER)
OSTI Identifier:
1222496
Alternate Identifier(s):
OSTI ID: 1222497; OSTI ID: 1253189
Grant/Contract Number:  
SC0008769; AI02-07ER64452; SC0001526
Resource Type:
Published Article
Journal Name:
eLife
Additional Journal Information:
Journal Name: eLife Journal Volume: 4; Journal ID: ISSN 2050-084X
Publisher:
eLife Sciences Publications, Ltd.
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES

Citation Formats

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., and Dinneny, José R. GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems. United States: N. p., 2015. Web. doi:10.7554/eLife.07597.
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. United States. doi:10.7554/eLife.07597.
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., and Dinneny, José R. Wed . "GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems". United States. doi:10.7554/eLife.07597.
@article{osti_1222496,
title = {GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems},
author = {Rellán-Álvarez, Rubén and Lobet, Guillaume and Lindner, Heike and Pradier, Pierre-Luc and Sebastian, Jose and Yee, Muh-Ching and Geng, Yu and Trontin, Charlotte and LaRue, Therese and Schrager-Lavelle, Amanda and Haney, Cara H. and Nieu, Rita and Maloof, Julin and Vogel, John P. and Dinneny, José R.},
abstractNote = {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 = {10.7554/eLife.07597},
journal = {eLife},
number = ,
volume = 4,
place = {United States},
year = {2015},
month = {8}
}

Journal Article:
Free Publicly Available Full Text
Publisher's Version of Record
DOI: 10.7554/eLife.07597

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Cited by: 28 works
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