Screening of CRISPR/Cas9 gRNA for mimicking Powdery Mildew resistant MLO ol-2 mutant

Designed gRNAs for CRISPR-Cas9 based antifungal resistance in eggplant

Eggplant is an important vegetable crop and is a good source of antioxidants, minerals, and vitamins. It has been used in ancient medicines for the treatment of multiple diseases. However, the cultivated varieties of eggplant are susceptible to numerous pathogens and pests that have a negative impact on vegetable crops. Increased resistance achieved through resistance genes (R genes) is limited in eggplant breeding due to the fact that R genes are typically specific to a pathogen race and can be quickly surpassed by pathogen evolution. The susceptibility genes (S genes) in plants facilitate pathogen entry and proliferation, thus disabling these genes might be beneficial for providing a broad range and durable resistance against pathogens. Reports on crops such as Arabidopsis, rice, wheat, citrus, and tomatoes have highlighted that the knockout mutants of the S genes are tolerant to multiple different pathogens. The CRISPR/Cas9 system facilitates plant genome editing that can be utilized efficiently for crop improvement. In the current work, we have identified the homologs of candidate S genes DMR1, DMR6, EDR1, and PMR4/5/6 in the eggplant genome and designed and screened putative gRNAs against the identified target loci. The gRNAs were screened and selected on the basis of recognition of the PAM sequence, the MIT score, their minimum free energy, and the secondary structure. Five gRNAs for each gene homolog were selected after an in-depth analysis of all the predicted gRNAs using the above-mentioned criterion.

Genomic Analysis Highlights Putative Defective Susceptibility Genes in Tomato Germplasm

Tomato (Solanum lycopersicum L.) is one of the most widely grown vegetables in the world and is impacted by many diseases which cause yield reduction or even crop failure. Breeding for disease resistance is thus a key objective in tomato improvement. Since disease arises from a compatible interaction between a plant and a pathogen, a mutation which alters a plant susceptibility (S) gene facilitating compatibility may induce broad-spectrum and durable plant resistance. Here, we report on a genome-wide analysis of a set of 360 tomato genotypes, with the goal of identifying defective S-gene alleles as a potential source for the breeding of resistance. A set of 125 gene homologs of 10 S-genes (PMR 4, PMR5, PMR6, MLO, BIK1, DMR1, DMR6, DND1, CPR5, and SR1) were analyzed. Their genomic sequences were examined and SNPs/indels were annotated using the SNPeff pipeline. A total of 54,000 SNPs/indels were identified, among which 1300 were estimated to have a moderate impact (non-synonymous variants), while 120 were estimated to have a high impact (e.g., missense/nonsense/frameshift variants). The latter were then analyzed for their effect on gene functionality. A total of 103 genotypes showed one high-impact mutation in at least one of the scouted genes, while in 10 genotypes, more than 4 high-impact mutations in as many genes were detected. A set of 10 SNPs were validated through Sanger sequencing. Three genotypes carrying high-impact homozygous SNPs in S-genes were infected with Oidium neolycopersici, and two highlighted a significantly reduced susceptibility to the fungus. The existing mutations fall within the scope of a history of safe use and can be useful to guide risk assessment in evaluating the effect of new genomic techniques.

Towards the diagnosis of dengue virus and its serotypes using designed CRISPR/Cas13 gRNAs

Dengue Virus (DENV) is a mosquito-borne virus that is prevalent in the world's tropical and subtropical regions. Therefore, early detection and surveillance can help in the management of this disease. Current diagnostic methods rely primarily on ELISA, PCR, and RT-PCR, among others, which can only be performed in specialized laboratories and require sophisticated instruments and technical expertise. CRISPR-based technologies on the other hand have field-deployable viral diagnostics capabilities that could be used in the development of point-of-care molecular diagnostics. The first step in the field of CRISPR-based virus diagnosis is to design and screen gRNAs for high efficiency and specificity. In the present study, we employed a bioinformatics approach to design and screen DENV CRISPR/Cas13 gRNAs for conserved and serotype-specific variable genomic regions in the DENV genome. We identified one gRNA sequence specific for each of the lncRNA and NS5 regions and identified one gRNA against each of DENV1, DENV2, DENV3, and DENV4 to distinguish the four DENV serotypes. These CRISPR/Cas13 gRNA sequences will be useful in diagnosing the dengue virus and its serotypes for in vitro validation and diagnostics.