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Updated: Jun 7, 2026

Breeding by Design for Functional Rice with Genome Editing Technologies
Published on: January 3, 2025
Efficient large-fragment isogenic sequence replacement in rice via prime editing with engineered reverse
Sujie Zhang1, Jingqi Du1, Guigen Ma2
1State Key Laboratory for Biology of Plant Diseases and Insect Pests, Institute of Plant Protection, Chinese Academy of Agricultural Sciences, Beijing 100193, China; Scientific Observing and Experimental Station of Crop Pests in Guilin, Ministry of Agriculture and Rural Affairs, Guilin 541399, China.
Introduction:
Achieving efficient and precise replacement of large genomic fragments with isogenic sequences remains a major challenge in plant genome editing, limiting the exploitation of natural allelic diversity for trait improvement.
Objectives:
This study aims to develop an optimized prime editing (PE) strategy for high-efficiency, large-fragment isogenic sequence replacement (ISR) in rice.
Methods:
We systematically compared nuclease-based PE, template-jumping PE (TJ-PE), and GRAND PE strategies. We engineered a series of M-MLV reverse transcriptase (RT) variants and evaluated their performance in rice protoplasts and stable transgenic lines.
Results:
TJ-PE outperformed other strategies in ISR efficiency and precision. Engineering the Moloney murine leukemia virus reverse transcriptase yielded rPE14e4 (T128N/D200C/V223Y/L435K), which enhanced ISR efficiency by 4.5-fold and enabled precise replacements up to 250 bp. We also discovered that unintended microhomology between primer binding site (PBS) and reverse transcription template (RTT) can cause on-target byproducts, and its disruption improves editing fidelity. Applying the optimized rPE14e4-TJ-PE system, we successfully rewrote a 174-bp coding region of the xa10 gene in the elite rice cultivar N9208.
Conclusion:
We established an efficient PE-mediated system for large-fragment ISR in rice. The optimized strategy and engineered RT variant significantly expand the capability for precise gene rewriting, accelerating functional genomics and molecular breeding in crops.
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