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Published on: December 11, 2020
Genotyping genome-edited mutations in plants using CRISPR ribonucleoprotein complexes
Zhen Liang1,2, Kunling Chen1, Yan Yan1
1State Key Laboratory of Plant Cell and Chromosome Engineering, Center for Genome Editing, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing, China.
A new PCR/ribonucleoprotein (RNP) method efficiently detects genome editing mutations in plants. This cost-effective technique improves upon Sanger sequencing and PCR/restriction enzyme methods, especially for polyploid crops like wheat.
Area of Science:
- Plant biotechnology
- Molecular biology
- Genomics
Background:
- Accurate detection of genome editing-induced mutations is challenging in plants, particularly polyploids.
- Efficient screening methods are crucial for low-frequency mutations and large population analysis.
Purpose of the Study:
- To develop and validate a sensitive and widely applicable method for detecting genome editing mutations in plants.
- To assess the utility of the PCR/ribonucleoprotein (RNP) complex method in polyploid species and for various editing tools.
Main Methods:
- Utilized purified CRISPR ribonucleoprotein (RNP) complexes to cleave PCR products for mutation detection.
- Applied the method to hexaploid wheat and diploid rice, comparing its sensitivity and applicability to Sanger sequencing and PCR/restriction enzyme (RE) methods.
- Tested the detection of TALEN-induced mutations and base editing mutations using high-fidelity Cas9 variants.
Main Results:
- The PCR/RNP method demonstrated higher sensitivity than Sanger sequencing and broader applicability than PCR/RE methods.
- Successfully detected mutations in hexaploid wheat, overcoming challenges posed by surrounding single nucleotide polymorphisms.
- Enabled detection of foreign DNA-free TALEN-induced mutations and partial base editing mutations.
Conclusions:
- The PCR/RNP method offers a low-cost, highly applicable, and rapid solution for detecting genome-edited mutations in diverse plant species.
- This technique is particularly advantageous for genome editing in complex genomes like wheat and for screening large populations.
- The method supports the detection of various mutation types induced by different genome editing tools.
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