ArticlePlant physiology2013
RootScape: a landmark-based system for rapid screening of root architecture in Arabidopsis.
Article in Plant physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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Who cites it
21 citing papers in PubMed, 50 citations in OpenAlex.
- Root system architecture and drought adaptation: emerging tools and genetic insights.Frontiers in plant science · 2026Review
- Root tolerance to salinity stress: the role of chitosan-selenium nanoparticles on physiological and morphological responses of citrus seedlings roots.BMC plant biology · 2025Article
- Phenotyping ofPlant phenomics (Washington, D.C.) · 2023Article
- Recent advances in methods forPeerJ · 2022Review
- Resources for image-based high-throughput phenotyping in crops and data sharing challenges.Plant physiology · 2021Article
- Article
- RootNav 2.0: Deep learning for automatic navigation of complex plant root architectures.GigaScience · 2019Article
- A Linear Model to Describe Branching and Allometry in Root Architecture.Plants (Basel, Switzerland) · 2019Article
- MyROOT: a method and software for the semiautomatic measurement of primary root length in Arabidopsis seedlings.The Plant journal : for cell and molecular biology · 2019Article
- HY5 Contributes to Light-Regulated Root System Architecture Under a Root-Covered Culture System.Frontiers in plant science · 2019Article
- Natural genetic variation shapes root system responses to phytohormones in Arabidopsis.The Plant journal : for cell and molecular biology · 2018Article
- EZ-Root-VIS: A Software Pipeline for the Rapid Analysis and Visual Reconstruction of Root System Architecture.Plant physiology · 2018Article
- Natural variation of hormone levels in Arabidopsis roots and correlations with complex root architecture.Journal of integrative plant biology · 2018Article
- RhizoChamber-Monitor: a robotic platform and software enabling characterization of root growth.Plant methods · 2018Article
- Image-Based Analysis to Dissect Vertical Distribution and Horizontal Asymmetry of Conspecific Root System Interactions in Response to Planting Densities, Nutrients and Root Exudates in Arabidopsis thaliana.Plants (Basel, Switzerland) · 2017Article
- GLO-Roots: an imaging platform enabling multidimensional characterization of soil-grown root systems.eLife · 2015Article
- A Journey Through a Leaf: Phenomics Analysis of Leaf Growth in Arabidopsis thaliana.The arabidopsis book · 2015Article
- Natural variation of root traits: from development to nutrient uptake.Plant physiology · 2014Review
- Abscisic acid regulates root elongation through the activities of auxin and ethylene in Arabidopsis thaliana.G3 (Bethesda, Md.) · 2014Article
- Integration of responses within and across Arabidopsis natural accessions uncovers loci controlling root systems architecture.Proceedings of the National Academy of Sciences of the United States of America · 2013Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
The architecture of plant roots affects essential functions including nutrient and water uptake, soil anchorage, and symbiotic interactions. Root architecture comprises many features that arise from the growth of the primary and lateral roots. These root features are dictated by the genetic background but are also highly responsive to the environment. Thus, root system architecture (RSA) represents an important and complex trait that is highly variable, affected by genotype × environment interactions, and relevant to survival/performance. Quantification of RSA in Arabidopsis (Arabidopsis thaliana) using plate-based tissue culture is a very common and relatively rapid assay, but quantifying RSA represents an experimental bottleneck when it comes to medium- or high-throughput approaches used in mutant or genotype screens. Here, we present RootScape, a landmark-based allometric method for rapid phenotyping of RSA using Arabidopsis as a case study. Using the software AAMToolbox, we created a 20-point landmark model that captures RSA as one integrated trait and used this model to quantify changes in the RSA of Arabidopsis (Columbia) wild-type plants grown under different hormone treatments. Principal component analysis was used to compare RootScape with conventional methods designed to measure root architecture. This analysis showed that RootScape efficiently captured nearly all the variation in root architecture detected by measuring individual root traits and is 5 to 10 times faster than conventional scoring. We validated RootScape by quantifying the plasticity of RSA in several mutant lines affected in hormone signaling. The RootScape analysis recapitulated previous results that described complex phenotypes in the mutants and identified novel gene × environment interactions.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.