Unverified paper record
Shedding light on plant proteolysis: genetically encoded fluorescent sensors as tools for profiling protease activities
The Plant Cell · 1 Jun 2026 · 10.1093/plcell/koag162
Abstract
Abstract Proteolysis is a universal process, as proteases play a pivotal role in modulating numerous signaling pathways. Proteases control the fate and function of their target proteins by hydrolyzing peptide bonds within these proteins. Understanding the temporal and spatial dynamics of proteolytic events, including the proteases that execute them, is crucial for elucidating their particular roles across diverse biological processes. In this study, we developed and characterized a set of genetically encoded Förster resonance energy transfer (FRET)-based reporters for the detection of various proteolytic activities in plants. Our sensors reliably reported the activity of specific proteases, exhibiting a performance comparable to previously established detection systems. In addition, we engineered variants capable of detecting the spatial dynamics of metacaspase-triggered proteolysis after wounding and during programmed cell death in roots. We demonstrated the feasibility of these FRET-based sensors for detecting various activities in vivo with high spatiotemporal resolution. The implementation of these tools in plant research opens opportunities to explore proteolytic mechanisms with enhanced precision. Overall, these biosensors constitute a versatile toolbox for probing protease function within its native cellular context, paving the way for deeper insights into plant biology and signaling.
Plant phenotyping relevance
植物内のプロテアーゼ活性という生理状態を高い時空間分解能で測定するFRETセンサーを開発・検証しており、表現型取得法が研究の中心です。
abstractwe developed and characterized a set of genetically encoded Förster resonance energy transfer (FRET)-based reporters for the detection of various proteolytic activities in plants.
abstractWe demonstrated the feasibility of these FRET-based sensors for detecting various activities in vivo with high spatiotemporal resolution.
Code and data availability
The supplied blocks contain only supplemental figures, oligo/construct tables, and video descriptions for this FRET biosensor paper. No public phenotype datasets, image/sensor data deposits, author analysis code, or trained models are mentioned, and no availability URLs are provided (allowed_urls is empty).
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