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

Autor:	Rellán-Álvarez R; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States., Lobet G; PhytoSystems, University of Liège, Liège, Belgium., Lindner H; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States., Pradier PL; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States., Sebastian J; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States., Yee MC; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States., Geng Y; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States., Trontin C; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States., LaRue T; Department of Biology, Stanford University, Stanford, United States., Schrager-Lavelle A; Department of Plant Biology, University of California, Davis, Davis, United States., Haney CH; Department of Genetics, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, United States., Nieu R; Western Regional Research Center, United States Department of Agriculture, Albany, United States., Maloof J; Department of Plant Biology, University of California, Davis, Davis, United States., Vogel JP; Department of Energy, Department of Energy Joint Genome Institute, Walnut Creek, United States., Dinneny JR; Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
Jazyk:	angličtina
Zdroj:	ELife [Elife] 2015 Aug 19; Vol. 4. Date of Electronic Publication: 2015 Aug 19.
DOI:	10.7554/eLife.07597
Abstrakt:	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.
Databáze:	MEDLINE
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