Naoyuki Sotta

SUMMARY Plants have developed the ability to adjust to the day/night cycle through the expression of diel genes, which allow them to effectively respond to environmental changes and optimise their growth and development. Diel oscillations also have substantial implications in many physiological processes, including photosynthesis, floral development, and environmental stress responses. The expression of diel genes is regulated by a combination of the circadian clock and responses to environmental cues, such as light and temperature. A great deal of information is available on the transcriptional regulation of diel gene expression. However, the extent to which translational regulation is involved in controlling diel changes in expression is not yet clear. To investigate the impact of translational regulation on diel expression, we conducted Ribo‐seq and RNA‐seq analyses on a time‐series sample of Arabidopsis shoots cultivated under a 12 h light/dark cycle. Our results showed that translational regulation is involved in about 71% of the genes exhibiting diel changes in mRNA abundance or translational activity, including clock genes, many of which are subject to both translational and transcriptional control. They also revealed that the diel expression of glycosylation and ion‐transporter‐related genes is mainly established through translational regulation. The expression of several diel genes likely subject to translational regulation through upstream open‐reading frames was also determined.

Bioassay with insect herbivore is a common approach to studying plant defense levels. While measuring insect growth rate as a negative indicator of plant defense levels is simple and straightforward, analyzing more detailed feeding behavior parameters of insects, such as feeding rates, leaf area consumed per feeding event, intervals between feeding events, and spatiotemporal patterns of feeding sites on leaves, is more informative. However, such observations are generally time consuming and labor-intensive. Here, we provide a semi-automated system for quantifying feeding behavior parameters of insects feeding on plant leaves. Automated photo scanners record time-course development of feeding marks on leaves. An image analysis pipeline processes the scanned images and extracts leaf area. By analyzing changes in leaf area over time, it detects insect feeding events and calculates the leaf area consumed during each feeding event, providing quantitative parameters of insects feeding behavior. In addition, it visualizes spatio-temporal changes in feeding sites, providing a measure of the complex behavior of insects on leaves. Using this analysis pipeline, we demonstrate that Arabidopsis thaliana trichomes reduce insect feeding rate, but not feeding duration or intervals between feeding events. Our image acquisition system requires only photo a scanner and a laptop computer and does not require any specialized equipment. The analysis software pipeline is provided as an ImageJ macro and R package and is available at no cost. Taken together, our work provides a scalable method for quantitative assessment of insect feeding behavior on leaves, facilitating understanding of plant defense mechanisms.