2015
DOI: 10.7554/elife.07597
|View full text |Cite
|
Sign up to set email alerts
|

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

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 Lum… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
187
0

Year Published

2016
2016
2023
2023

Publication Types

Select...
5
2
1

Relationship

2
6

Authors

Journals

citations
Cited by 211 publications
(187 citation statements)
references
References 52 publications
0
187
0
Order By: Relevance
“…Correlated with these structural and physiological differences, the response to abiotic stress has also been shown to distinguish the organs of the root system. Exposure to water deficit during early lateral root (LR) development revealed inhibition of postemergence growth in Arabidopsis (Xiong et al, 2006;Rellán-Álvarez et al, 2015), involving ABA and auxin signaling (Deak and Malamy, 2005;Xiong et al, 2006). Therefore, water deficit causes a clear reduction in root mass in more mature root systems (Xiong et al, 2006;Rellán-Álvarez et al, 2015).…”
Section: Organ-type-specific Growth Responses To Water-deficit Stressmentioning
confidence: 99%
See 1 more Smart Citation
“…Correlated with these structural and physiological differences, the response to abiotic stress has also been shown to distinguish the organs of the root system. Exposure to water deficit during early lateral root (LR) development revealed inhibition of postemergence growth in Arabidopsis (Xiong et al, 2006;Rellán-Álvarez et al, 2015), involving ABA and auxin signaling (Deak and Malamy, 2005;Xiong et al, 2006). Therefore, water deficit causes a clear reduction in root mass in more mature root systems (Xiong et al, 2006;Rellán-Álvarez et al, 2015).…”
Section: Organ-type-specific Growth Responses To Water-deficit Stressmentioning
confidence: 99%
“…Exposure to water deficit during early lateral root (LR) development revealed inhibition of postemergence growth in Arabidopsis (Xiong et al, 2006;Rellán-Álvarez et al, 2015), involving ABA and auxin signaling (Deak and Malamy, 2005;Xiong et al, 2006). Therefore, water deficit causes a clear reduction in root mass in more mature root systems (Xiong et al, 2006;Rellán-Álvarez et al, 2015). For salt stress, many genes and pathways have been identified over the past few decades that regulate the early response of roots at the cellular level (Julkowska and Testerink, 2015).…”
Section: Organ-type-specific Growth Responses To Water-deficit Stressmentioning
confidence: 99%
“…To explore acclimatization to water-limited growing conditions at a whole root system level, we used the newly developed luminescence-based imaging system GLO-Roots (Growth and Luminescence Observatory for Roots), which enables imaging of root systems in sheets of peat-based soil (14). Growth of plants in soil-filled rhizotrons enabled implementation of a similar WD regime as used in our pot-based experiments (Fig.…”
Section: Suppression Of Crown Root Growth Is a Major Response To Watermentioning
confidence: 99%
“…To understand how WD affects the balance between embryonic and postembryonic parts of the root system and specifically crown root development, we analyzed root growth through excavation from soil and using the GLO-Roots imaging system (14). These studies used the emerging grass model species Setaria viridis, which is a C 4 -grass model for other agronomically important panicoid grasses, such as maize and sorghum (15,16).…”
mentioning
confidence: 99%
“…This concept infused rapidly as morphometrics into biology (Bookstein, 1997) and is increasingly carried out using machine vision techniques (Wilf et al, 2016). Kendall's idea inspired the development of methods such as elliptical Fourier descriptors (Kuhl and Giardina, 1982) and new trends employing the Laplace Beltrami operator (Reuter et al, 2009), both relying on the spectral decompositions of shapes (Chitwood et al, 2012;Laga et al, 2014;Rellán-Álvarez et al, 2015). Beyond the organ level, such morphometric descriptors were used to analyze cellular expansion rates of rapidly deforming primordia into mature organ morphologies (Rolland-Lagan et al, 2003;Remmler and Rolland-Lagan, 2012;Das Gupta and Nath, 2015).…”
Section: Mathematics To Describe Plant Shape and Morphologymentioning
confidence: 99%