GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems
- Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, Mexico
- University of Liège, Belgium
- Carnegie Institution for Science, United States
- United States Department of Agriculture, United States
- Stanford University, United States
- University of California, Davis, United States
- Harvard Medical School, United States
- Department of Energy Joint Genome Institute, United States
- Cited 90
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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.
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Reviewing Editor
- Maria J Harrison, Boyce Thompson Institute for Plant Research, United States
Publication history
- Received: March 23, 2015
- Accepted: August 18, 2015
- Accepted Manuscript published: August 19, 2015 (version 1)
- Version of Record published: October 1, 2015 (version 2)
Copyright
© 2015, Rellán-Álvarez et al.
This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.
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