A split ribozyme system for <i>in vivo</i> plant RNA imaging and genetic engineering

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.

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Publication Details

Journal
Plant Biotechnology Journal
Published
2025-02-07
DOI
https://doi.org/10.1111/pbi.14612
Citations
6
Primary Topic
Plant Virus Research Studies
Type
article
Field-Weighted Citation Impact
10.50

Funders

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article

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

Xiaohan Yang, Md Torikul Islam, Ilenne Del Valle, Rekha Agrawal et al.
6 citations
Plant Biotechnology Journal
Plant Virus Research Studies
10.50
article

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

Xiaohan Yang, Md Torikul Islam, Ilenne Del Valle, Rekha Agrawal, Carrie A. Eckert, Brandon A. Boone, Ruchika Rajput, Gerald A. Tuskan, Tao Yao, Jin‐Gui Chen, Paul E. Abraham, Yang Liu
article en
6 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.

Plant Biotechnology JournalVol. 23(5)
Oak Ridge National Laboratory (US)
U.S. Department of Energy, Battelle, UT-Battelle, Office of Science, Biological and Environmental Research, Center for Bioenergy Innovation, Oak Ridge National Laboratory
Openalex Percentile: Top 2%
Plant Virus Research Studies
10.50
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