The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found at: https://doi.org/10.5523/bris.21loiw3fpw372g99l93meaja1 .
Open resource ↗10.5523/bris.21loiw3fpw372g99l93meaja1 · lines:526-555Unverified paper record
A Centrifuge-Based Method for Identifying Novel Genetic Traits That Affect Root-Substrate Adhesion in Arabidopsis thaliana .
Frontiers in Plant Science · 23 Feb 2021 · 10.3389/fpls.2021.602486
Abstract
The physical presence of roots and the compounds they release affect the cohesion between roots and their environment. However, the plant traits that are important for these interactions are unknown and most methods that quantify the contributions of these traits are time-intensive and require specialist equipment and complex substrates. Our lab developed an inexpensive, high-throughput phenotyping assay that quantifies root-substrate adhesion in Arabidopsis thaliana. We now report that this method has high sensitivity and versatility for identifying different types of traits affecting root-substrate adhesion including root hair morphology, vesicle trafficking pathways, and root exudate composition. We describe a practical protocol for conducting this assay and introduce its use in a forward genetic screen to identify novel genes affecting root-substrate interactions. This assay is a powerful tool for identifying and quantifying genetic contributions to cohesion between roots and their environment.
Plant phenotyping relevance
根—基質接着を定量する高スループット表現型測定法を開発・検証し、遺伝子スクリーニングへの応用も示すため、手法が研究の中心である。
abstractOur lab developed an inexpensive, high-throughput phenotyping assay that quantifies root-substrate adhesion in Arabidopsis thaliana.
abstractWe now report that this method has high sensitivity and versatility for identifying different types of traits affecting root-substrate adhesion
abstractWe describe a practical protocol for conducting this assay and introduce its use in a forward genetic screen
Code and data availability
The paper's data availability statement points to a public University of Bristol (data.bris) repository deposit containing the study's centrifuge assay datasets (root-gel detachment measurements and associated analyses). No author analysis code or trained models are explicitly deposited.
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