Department of Biological Sciences
Department of Computer Science
Background: A well characterized output of the circadian clock in plants is the daily rhythmic movement of leaves. This process has been used extensively in Arabidopsis to estimate circadian period in natural accessions as well as mutants with known defects in circadian clock function. Current methods for estimating circadian period by leaf movement involve manual steps throughout the analysis and are often limited to analyzing one leaf or cotyledon at a time.
Methods: In this study, we describe the development of TRiP (Tracking Rhythms in Plants), a new method for estimating circadian period using a motion estimation algorithm that can be applied to whole plant images. To validate this new method, we apply TRiP to a Recombinant Inbred Line (RIL) population in Arabidopsis using our high-throughput imaging platform. We begin imaging at the cotyledon stage and image through the emergence of true leaves. TRiP successfully tracks the movement of cotyledons and leaves without the need to select individual leaves to be analyzed.
Dartmouth Digital Commons Citation
Greenham, Kathleen; Lou, Ping; Remsen, Sara E.; Farid, Hany; and McClung, C Robertson, "TRiP: Tracking Rhythms in Plants, an Automated Leaf Movement Analysis Program for Circadian Period Estimation" (2015). Dartmouth Scholarship. 1651.