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Mendoza, B. J.

Publications and source records attributed to Mendoza, B. J..

2 recordsLinked to original sources

Potency of CRISPR-Cas Antifungals Is Enhanced by Co-targeting DNA Repair and Growth Regulatory Machinery at the Genetic Level

Fungal pathogens are virulent and resistant to antibiotic treatment. Due to their adaptability, specificity, and efficiency, CRISPR-Cas systems can be harnessed for neutralizing these fungal pathogens. However, the conventional design of CRISPR-Cas antimicrobials, based on induction of DNA double-strand-breaks (DSBs), is potentially less effective in fungi due to robust eukaryotic DNA repair machinery. Here, we report a novel design principle to formulate more effective CRISPR-Cas antifungals by co-targeting essential genes with DNA repair defensive genes that remove the fungis ability to repair the DSB sites of essential genes. By evaluating this design on the model fungus Saccharomyces cerevisiae, we demonstrated that essential and defensive gene co-targeting is more effective than either essential or defensive gene targeting alone. The top-performing CRISPR-Cas antifungals performed as effectively as the antibiotic Geneticin. Fast growth kinetics of S. cerevisiae induced resistance to CRISPR-Cas antifungals where genetic mutations mostly occurred in defensive genes and guide RNA sequences. SignificanceThe emergence of virulent, resistant, and rapidly evolving fungal pathogens poses a significant threat to public health, agriculture, and the environment. Targeting cellular processes with standard small-molecule intervention may be effective but requires long development times and is prone to antibiotic resistance. To overcome the current limitation of antibiotic development and treatment, this study harnesses CRISPR-Cas systems as antifungals by capitalizing on their adaptability, specificity, and efficiency in target design. Simultaneous co-targeting of both essential and defensive genes is shown to be a novel design principle for formulating effective CRISPR-Cas antimicrobials that can be rapidly tuned to adapt to inevitable escapee events.

bioengineering↗

In Silico Processing of the Complete CRISPR-Cas Spacer Space for Identification of PAM Sequences

Despite extensive exploration of the diversity of CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats) systems, biological applications have been mostly confined to Class 2 systems, specifically the Cas9 and Cas12 (formerly Cpf1) single effector proteins. A key limitation of exploring and utilizing other CRISPR-Cas systems with unique functionalities, particularly Class I types and their multi-protein effector complex, is the knowledge of the systems protospacer adjacent motif (PAM) sequence identity. In this work, we developed a systematic pipeline, named CASPERpam, that enables us to comprehensively assess the PAM sequences of all the available CRISPR-Cas systems in the NCBI database of bacterial genomes. The CASPERpam analysis revealed that within the 30,389 assemblies previously screen for CRISPR arrays, there exists 26,364 spacers that match somewhere in the viral, bacterial, and plasmid databases of NCBI, using the constraints of 95% sequence identity and 95% sequence coverage for blast hits. When grouping these results by species, we were able to identify putative PAM sequences for 1,049 among 1,493 unique species. The remaining species either have insufficient data or an undetermined result from the analysis. Finally, we were able to infer certain design principles that are relevant for understanding PAM diversity and a baseline for further experimental studies including PAM assays. We envision CASPERpam is a useful bioinformatic tool for understanding and harnessing the diversity of CRISPR systems.

bioinformatics↗