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.
- Publication Date:
- Research Org.:
- Carnegie Inst. of 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. https://doi.org/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. https://doi.org/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 = {Wed Aug 19 00:00:00 EDT 2015},
month = {Wed Aug 19 00:00:00 EDT 2015}
}
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https://doi.org/10.7554/eLife.07597
https://doi.org/10.7554/eLife.07597
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