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Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
Published on: January 3, 2025
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Multiplex nucleotide editing by high-fidelity Cas9 variants with improved efficiency in rice
Wen Xu1, Wei Song1, Yongxing Yang1
1Beijing Key Laboratory of Maize DNA Fingerprinting and Molecular Breeding, Beijing Academy of Agriculture & Forestry Sciences, Shuguang Garden Middle Road No. 9, haidian district, Beijing, China.
BMC Plant Biology
|November 23, 2019
Summary
We developed efficient CRISPR/Cas9 base editors for rice, enhancing cytosine to thymine conversion. This toolkit improves gene editing precision for crop improvement and plant research.
Area of Science:
- Plant biotechnology
- Genome engineering
- Molecular biology
Background:
- CRISPR/Cas9 and base editors enable targeted genome modification for crop trait improvement.
- Efficient gene editing tools are crucial for advancing plant research.
Purpose of the Study:
- To engineer highly efficient and precise base editors for rice.
- To enhance the efficiency of CRISPR/Cas9-based genome editing in plants.
Main Methods:
- Fused PmCDA1 with CRISPR/Cas9 nickase for cytosine (C)-to-thymine (T) conversion.
- Engineered three high-fidelity SpCas9 variants (eSpCas9(1.1), SpCas9-HF2, HypaCas9) as C-to-T base editors (pBEs).
- Applied a tandemly arrayed tRNA-modified single guide RNA (sgRNA) architecture to improve base-editing efficiency.
Main Results:
- PmCDA1 demonstrated higher efficiency than rAPOBEC1 for C-to-T conversion in rice.
- High-fidelity editors showed distinct multiplex-genome editing efficiencies.
- The tRNA-modified sgRNA architecture enhanced eSpCas9(1.1)-pBE efficiency up to 25.5-fold with acceptable off-target effects.
- Knock-out mutation frequency improved two- to five-fold using high-fidelity Cas9s with the tRNA-modified sgRNA.
Conclusions:
- Engineered a versatile toolkit for efficient and precise rice genome engineering.
- The developed tools offer increased flexibility for plant research and crop improvement applications.
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