TRiP: Tracking Rhythms in Plants, an automated leaf movement analysis program for circadian period estimation

Area of Science:

• Plant biology
• Chronobiology
• Genetics

Background:

• Plant leaf movement is a key indicator of the circadian clock.
• Current methods for analyzing leaf movement are manual and labor-intensive.
• Analyzing large plant populations is challenging with existing techniques.

Purpose of the Study:

• To develop a novel, automated method for estimating plant circadian periods using leaf movement.
• To overcome the limitations of manual analysis in high-throughput plant research.
• To enable efficient analysis of large populations and diverse species.

Main Methods:

• Development of TRiP (Tracking Rhythms in Plants), a motion estimation algorithm.
• Application of TRiP to whole plant images from high-throughput imaging platforms.
• Analysis of leaf and cotyledon movement from the cotyledon stage through true leaf emergence.

Main Results:

• TRiP successfully estimates circadian period by analyzing whole plant images.
• The method automates the tracking of cotyledon and leaf movements.
• No manual selection of individual leaves is required for analysis.

Conclusions:

• TRiP enables high-throughput analysis of leaf movement for circadian period estimation.
• The program is effective across diverse plant species and leaf morphologies.
• TRiP was successfully applied to 150 Arabidopsis RILs and 5 other plant species.