A split ribozyme system for in vivo plant RNA imaging and genetic engineering

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6 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1640-1649
Number of pages10
JournalPlant Biotechnology Journal
Volume23
Issue number5
DOIs
StatePublished - May 2025

Funding

The writing of this manuscript was supported by the U.S. Department of Energy, as part of the Secure Ecosystem Engineering and Design (SEED) Scientific Focus Area. This material is also based upon work supported by the Center for Bioenergy Innovation (CBI), U.S. Department of Energy, Office of Science, Biological and Environmental Research Program under Award Number ERKP886. Oak Ridge National Laboratory is managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract Number DE-AC05-00OR22725. The writing of this manuscript was supported by the U.S. Department of Energy, as part of the Secure Ecosystem Engineering and Design (SEED) Scientific Focus Area. This material is also based upon work supported by the Center for Bioenergy Innovation (CBI), U.S. Department of Energy, Office of Science, Biological and Environmental Research Program under Award Number ERKP886. Oak Ridge National Laboratory is managed by UT‐Battelle, LLC for the U.S. Department of Energy under Contract Number DE‐AC05‐00OR22725.

Keywords

  • RNA imaging
  • genetic engineering
  • plants
  • ribozyme
  • synthetic biology

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