In silico Design and Validation of CRISPR/Cas9 gRNAs for Enhancing Drought Tolerance and Yield in Rice
Rice is a staple food crop globally, and its yield is significantly impacted by drought, posing a threat to food security. Several genes have been implicated in drought response and yield regulation, which can be targeted using CRISPR/Cas9 genome editing techniques to develop improved rice cultivars. This study aimed to design guide RNAs (gRNAs) for drought-responsive and yield-determining genes in rice, including flavanone 3-hydroxylase-1 (OsF3H-1), chalcone synthase 31 (OsCHS31), nodulin/SWEET12 (OsSWEET12), MYB47, and OsKALA3, utilizing bioinformatics tools. Genome sequences were retrieved from the Rice Genome Annotation Project (RGAP) and the Rice Annotation Project Database (RAP-DB). Optimal gRNAs were designed using the CRISPR-P v2 tool and evaluated based on parameters such as GC content, off-target score, on-target score, and genome location. The structural stability of the selected gRNAs was validated using the Mathews Lab RNA secondary structure prediction tool. Most gRNAs, except those targeting OsF3H-1, exhibited low self-folding probabilities and energy levels within acceptable ranges, indicating favorable structural stability. However, the OsF3H-1 gRNAs demonstrated higher susceptibility to self-folding, requiring further refinement. The designed gRNAs provide a strong foundation for future CRISPR/Cas9-based genome editing experiments. These findings pave the way for engineering rice to develop stress-resilient and high-yielding varieties, contributing to enhanced agricultural sustainability and global food security.
Authors
- Ma J (ORCID: https://orcid.org/0000-0003-1758-6602)
- Gurulingaiah Bhavya
- Abida P.S
- Acharya Arpita
- S Shafana
- Kripa Pappachan
Institutions
- Kerala Agricultural University (IN)
Publication Details
- Journal
- Journal of Advances in Biology & Biotechnology
- Published
- 2024-12-30
- DOI
- https://doi.org/10.9734/jabb/2024/v27i121852
- Citations
- 1
- Primary Topic
- CRISPR and Genetic Engineering
- Type
- article
- Field-Weighted Citation Impact
- 0.23