View the Project on GitHub rr-lab/GLO-Roots


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

Rubén Rellán-Álvarez1, 9, Guillaume Lobet2, Heike Lindner1, 8, Pierre-Luc Pradier1, 8, 10, Jose Sebastian1, 8, Muh-Ching Yee1, Yu Geng1, 7, Charlotte Trontin1, Therese LaRue3, Amanda Schrager4, Cara Haney5, Rita Nieu6, Julin Maloof4, John P. Vogel7, José R. Dinneny1,12


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 such as soil moisture with root 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.