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Updated: Jul 20, 2026

Using a Fluorescent PCR-capillary Gel Electrophoresis Technique to Genotype CRISPR/Cas9-mediated Knockout Mutants in a High-throughput Format
Published on: April 8, 2017
A Fast and Cost-Effective Genotyping Method for CRISPR-Cas9-Generated Mutant Rice Lines
Abdugaffor Ablazov1,2, Abrar Felemban1, Justine Braguy1
1Center for Desert Agriculture (CDA), The BioActives Laboratory, Biological and Environmental Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal 23955-6900, Saudi Arabia.
A new, faster, and cheaper plant genotyping method bypasses traditional DNA purification and cloning steps. This streamlined workflow significantly reduces costs and processing time for generating and analyzing CRISPR-Cas9 mutants.
Area of Science:
- Plant science
- Molecular biology
- Genetics
Background:
- High-throughput generation and phenotyping of mutant plant lines necessitate efficient genotyping.
- Traditional genotyping workflows involve time-consuming and costly steps like DNA purification and bacterial cloning.
Purpose of the Study:
- To develop and validate an alternative, streamlined genotyping workflow for plant research.
- To compare the efficiency, cost, and quality of the proposed workflow against traditional methods.
Main Methods:
- Utilized Phire polymerase on fresh plant tissue and ExoProStar treatment for sequencing library preparation.
- Generated CRISPR-Cas9 mutants for ZAXINONE SYNTHASE (ZAS) in rice using two guide RNAs.
- Compared results from the proposed workflow with a traditional workflow for genotyping nine T1 plants, employing automated analysis systems.
Main Results:
- The proposed workflow yielded results of comparable quality to the traditional method.
- The new workflow reduced genotyping time from 3 days to 1 day.
- The cost was reduced by approximately 35 times, with fewer steps and reduced risk of errors.
Conclusions:
- The proposed streamlined genotyping workflow offers significant advantages in speed, cost-effectiveness, and simplicity.
- Automated sequence analysis tools are effective for interpreting complex mutant data, suitable for bulk analysis.
- Academic and commercial laboratories are encouraged to adopt this improved genotyping method for increased efficiency.
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