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

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...

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Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4589753/
https://www.ncbi.nlm.nih.gov/pubmed/26287479
http://dx.doi.org/10.7554/eLife.07597
Descripción
Sumario: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: http://dx.doi.org/10.7554/eLife.07597.001