skip to main content

Title: 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 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. Here, 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.
Authors:
ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [1] ; ORCiD logo [1] ; ORCiD logo [1] ; ORCiD logo [1] ;  [3] ; ORCiD logo [1] ; ORCiD logo [4] ; ORCiD logo [5] ; ORCiD logo [6] ;  [7] ; ORCiD logo [5] ; ORCiD logo [8] ; ORCiD logo [1]
  1. Carnegie Institution for Science, Stanford, CA (United States)
  2. Univ. of Liege, Liege (Belgium)
  3. Carnegie Institution for Science, Stanford, CA (United States); Joint Genome Institute, Walnut Creek, CA (United States)
  4. Stanford Univ., Stanford, CA (United States)
  5. Univ. of California, Davis, CA (United States)
  6. Harvard Medical School, Boston, MA (United States)
  7. United States Dept. of Agriculture, Albany, CA (United States)
  8. Joint Genome Institute, Walnut Creek, CA (United States)
Publication Date:
OSTI Identifier:
1222496
Grant/Contract Number:
SC0008769; SC0001526; AI02-07ER64452
Type:
Published Article
Journal Name:
eLife
Additional Journal Information:
Journal Volume: 4; Journal ID: ISSN 2050-084X
Publisher:
eLife Sciences Publications, Ltd.
Research Org:
Carnegie Institution for Science, Stanford, CA (United States)
Sponsoring Org:
USDOE Office of Science (SC), Biological and Environmental Research (BER) (SC-23)
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; 58 GEOSCIENCES