Evaporative cooling signals for wound healing in plants

Abstract

Repairing damaged tissues is essential for the survival of all organisms. In plants, tissue injury rapidly triggers defense and repair programs. However, the molecular mechanisms linking early injury cue to the later stages of wound repair remain unclear. Here, we show that wounding of Arabidopsis leaves induces localized low temperature at the injury site, likely caused by evaporative cooling, which is accompanied by an activation of cold-responsive genes. Using thermal imaging combined with computer vision and deep learning, we developed a workflow to monitor the dynamics of wound healing in a quantitative, non-invasive and real-time manner. Mechanistically, we show that C-repeat Binding Factor (CBF) transcription factors are required for the activation of injury-associated cold response and downstream salicylic acid (SA) signaling. The CBF–SA module promotes lignin deposition and wound repair. Together, these findings reveal a link between a wound-induced biophysical cue and the tissue repair program.

Plant phenotyping relevance

熱画像とコンピュータビジョン・深層学習を組み合わせ、植物の創傷修復動態を定量・非侵襲・リアルタイムに測定するワークフローを開発しており、フェノタイピング手法が中心的である。

Code and data availability

The paper describes a DL-based (YOLO-seg) workflow using RGB and thermal images to monitor wound healing in Arabidopsis, but the supplied blocks contain no public dataset, image, code, or model deposit with authors' availability language. Roboflow is cited only as a generic computer-vision platform in the reference (Dw

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