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

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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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          Most cited references46

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          NIH Image to ImageJ: 25 years of image analysis.

          For the past 25 years NIH Image and ImageJ software have been pioneers as open tools for the analysis of scientific images. We discuss the origins, challenges and solutions of these two programs, and how their history can serve to advise and inform other software projects.
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            R: A Language and Environment for Statistical Computing.

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              Control of root system architecture by DEEPER ROOTING 1 increases rice yield under drought conditions.

              The genetic improvement of drought resistance is essential for stable and adequate crop production in drought-prone areas. Here we demonstrate that alteration of root system architecture improves drought avoidance through the cloning and characterization of DEEPER ROOTING 1 (DRO1), a rice quantitative trait locus controlling root growth angle. DRO1 is negatively regulated by auxin and is involved in cell elongation in the root tip that causes asymmetric root growth and downward bending of the root in response to gravity. Higher expression of DRO1 increases the root growth angle, whereby roots grow in a more downward direction. Introducing DRO1 into a shallow-rooting rice cultivar by backcrossing enabled the resulting line to avoid drought by increasing deep rooting, which maintained high yield performance under drought conditions relative to the recipient cultivar. Our experiments suggest that control of root system architecture will contribute to drought avoidance in crops.
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                Author and article information

                Journal
                Elife
                eLife
                eLife Sciences Organisation, Ltd.
                2050-084X
                2050-084X
                Aug 19 2015
                : 4
                Affiliations
                [1 ] Department of Plant Biology, Carnegie Institution for Science, Stanford, United States.
                [2 ] PhytoSystems, University of Liège, Liège, Belgium.
                [3 ] Department of Biology, Stanford University, Stanford, United States.
                [4 ] Department of Plant Biology, University of California, Davis, Davis, United States.
                [5 ] Department of Genetics, Department of Molecular Biology, Massachusetts General Hospital, Harvard Medical School, Boston, United States.
                [6 ] Western Regional Research Center, United States Department of Agriculture, Albany, United States.
                [7 ] Department of Energy, Department of Energy Joint Genome Institute, Walnut Creek, United States.
                Article
                10.7554/eLife.07597
                4589753
                26287479
                85568617-d03c-4402-a3f7-2b3b613de4b0
                History

                Brachypodium distachyon,Lycopersicon esculentum,arabidopsis,imaging systems,plant biology

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