Root gravitropism: quantification, challenges, and solutions

Muller, Lukas; Bennett, Malcolm J.; French, Andy; Wells, Darren M.; Swarup, Ranjan

Abstract

© 2018, Springer Science+Business Media, LLC. Better understanding of root traits such as root angle and root gravitropism will be crucial for development of crops with improved resource use efficiency. This chapter describes a high-throughput, automated image analysis method to trace Arabidopsis (Arabidopsis thaliana) seedling roots grown on agar plates. The method combines a “particle-filtering algorithm with a graph-based method” to trace the center line of a root and can be adopted for the analysis of several root parameters such as length, curvature, and stimulus from original root traces.

Citation

Muller, L., Bennett, M. J., French, A., Wells, D. M., & Swarup, R. (2018). Root gravitropism: quantification, challenges, and solutions. Methods in Molecular Biology, 1761, 103-112. https://doi.org/10.1007/978-1-4939-7747-5_8

• Journal Article Type: Article
• Acceptance Date: Jan 8, 2018
• Online Publication Date: Mar 11, 2018
• Publication Date: Jan 1, 2018
• Deposit Date: Jul 13, 2018
• Publicly Available Date: Jan 2, 2019
• Journal: Methods in Molecular Biology
• Electronic ISSN: 1940-6029
• Peer Reviewed: Peer Reviewed
• Volume: 1761
• Pages: 103-112
• Book Title: Root Development
• DOI: https://doi.org/10.1007/978-1-4939-7747-5_8
• Keywords: Root gravitropism, RooTrace, Image analysis, Arabidopsis
• Public URL: https://nottingham-repository.worktribe.com/output/919674
• Publisher URL: https://link.springer.com/protocol/10.1007%2F978-1-4939-7747-5_8