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Developing a mobile RNA delivery system for grafting trait improvement.

Yiran Tao1, Jiayu Zhang1, Yuyang Zhang1

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Researchers developed a live-imaging platform to identify mobile RNAs for non-transgenic trait improvement via grafting. They discovered GAI mRNA and a 2×GME2 element for efficient RNA delivery across graft junctions.

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Area of Science:

  • Plant biology
  • Molecular biology
  • Genetics

Background:

  • Systemic RNA movement is a promising avenue for non-transgenic trait improvement in plants through grafting.
  • Current progress is hindered by the absence of effective tools for identifying mobile RNA elements.

Purpose of the Study:

  • To develop and validate a live-imaging platform for screening mobile RNAs and mapping their mobility elements.
  • To identify novel RNA elements that facilitate systemic RNA movement for agricultural applications.

Main Methods:

  • A fluorescence-aptamer-based live-imaging platform was established for high-throughput screening of RNA candidates.
  • Transient screening assays were performed on 100 RNA-seq-predicted mobile RNAs.
  • Truncation analysis was employed to define cis-acting elements responsible for RNA mobility.

Main Results:

  • The platform successfully identified three mobile mRNAs (CAT3, CK1, GAI), with GAI showing significant bidirectional mobility.
  • Two distinct 30-nt cis-elements, GME1 and GME2, were identified, with GME2 demonstrating superior transport and mobility.
  • A tandem 2×GME2 cassette was found to be a high-capacity RNA delivery module, outperforming the tRNA-like sequence motif (TLS).
  • The 2×GME2 module enabled the delivery of non-mobile mRNAs across graft junctions, inducing molecular and phenotypic changes in recipient tissues.

Conclusions:

  • The study presents a validated pipeline for identifying and validating mobile RNAs using live imaging.
  • The 2×GME2 element is identified as a potent non-viral RNA delivery system for graft-mediated trait modification.
  • This platform and identified elements hold significant potential for advancing agricultural trait improvement strategies.