植物RNAのリアルタイム検出を可能にする新しいバイオセンサーを開発(Novel biosensor illuminates plant RNA in real time)

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2025-04-03 オークリッジ国立研究所(ORNL)

オークリッジ国立研究所は、植物内のRNAをリアルタイムで検出・可視化する新型バイオセンサーを開発しました。RNAに結合するガイドRNAを用いて、リボザイムが再構築・活性化され、蛍光レポーターを生成する仕組みで、植物内の遺伝子発現を非破壊で追跡可能にします。ウイルス感染植物やシロイヌナズナでの実証に成功し、作物改良や病原体検出への応用が期待されます。本技術は、植物の全身での遺伝子活動の可視化を実現します。

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生体内植物RNAイメージングと遺伝子工学のための分割リボザイムシステム A split ribozyme system for in vivo plant RNA imaging and genetic engineering

Yang Liu, Ruchika Rajput, Md Torikul Islam, Ilenne Del Valle, Tao Yao, Rekha Agrawal, Brandon A. Boone, Carrie A. Eckert, Paul E. Abraham, Jin-Gui Chen, Gerald A. Tuskan, Xiaohan Yang
Plant Biotechnology Journal  Published: 07 February 2025
DOI:https://doi.org/10.1111/pbi.14612

植物RNAのリアルタイム検出を可能にする新しいバイオセンサーを開発(Novel biosensor illuminates plant RNA in real time)

Summary

RNA plays a central role in plants, governing various cellular and physiological processes. Monitoring its dynamic abundance provides a discerning understanding of molecular mechanisms underlying plant responses to internal (developmental) and external (environmental) stimuli, paving the way for advances in plant biotechnology to engineer crops with improved resilience, quality and productivity. In general, traditional methods for analysis of RNA abundance in plants require destructive, labour-intensive and time-consuming assays. To overcome these limitations, we developed a transformative innovation for in vivo RNA imaging in plants. Specifically, we established a synthetic split ribozyme system that converts various RNA signals to orthogonal protein outputs, enabling in vivo visualisation of various RNA signals in plants. We demonstrated the utility of this system in transient expression experiments (i.e., leaf infiltration in Nicotiana benthamiana) to detect RNAs derived from transgenes and tobacco rattle virus, respectively. Also, we successfully engineered a split ribozyme-based biosensor in Arabidopsis thaliana for in vivo visualisation of endogenous gene expression at the cellular level, demonstrating the feasibility of multi-scale (e.g., cellular and tissue level) RNA imaging in plants. Furthermore, we developed a platform for easy incorporation of different protein outputs, allowing for flexible choice of reporters to optimise the detection of target RNAs.

生物工学一般
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