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Updated: Jan 10, 2026

Author Spotlight: Streamlining Rice Breeding with CRISPR/Cas for Obtaining Optimal Phenotypic and Agronomic Traits
Published on: January 3, 2025
TKC-MC: An Effective Strategy for Generating Heritable Heterozygous Mutations in Essential Genes in Rice
Meilian Xu1, Lang Yan2,3, Min Zhu1
1National Key Laboratory of Crop Genetic Improvement and National Centre of Plant Gene Research (Wuhan), Hubei Hongshan Laboratory, Huazhong Agricultural University, Wuhan, China.
None:
The CRISPR/Cas9 gene-editing technology has been widely used in defining gene functions and crop improvement. However, some genes are essential for plant growth and development. Loss-of-function homozygous mutations in essential genes lead to plant death or sterility. Mutations in essential genes need to be maintained and propagated in heterozygous plants. CRISPR/Cas9 technology is highly efficient in generating homozygous or bi-allelic mutations at T0 generation in rice, making it difficult to generate useful genetic materials for essential genes using traditional gene editing technology. In this study, we designed Transgene-Killer CRISPR (TKC)-mediated mismatch-spacer targeting (TKC-M) to efficiently generate heritable heterozygous mutations in essential genes in rice. Leveraging our earlier transgenic offspring self-elimination TKC platform, TKC-M relied on timely self-elimination of Cas9 and engineered gRNA-target mismatches to enrich heritable heterozygous or mosaic incomplete-edited T0 mutants and heterozygous progeny. We found that the sensitivity of targets to spacer mismatch(es) varies. A single-base mismatch at gRNA positions 11 or 17 yielded abundant heritable heterozygotes in sensitive targets. For insensitive targets, dual mismatches at positions 8 and 15 maximised heritable heterozygotes. Co-transformation of rice with TKC vectors carrying gRNA without mismatches (G1), gRNA with a mismatch at position 11 (M11) and M8 + M15 spacers, termed TKC-M Cocktail (TKC-MC) significantly increased the incomplete-edited mutant ratio compared with using G1 alone. This work establishes a technical foundation for generating mutant libraries that cover every single gene in a plant genome and for in-depth research on essential genes.
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