CRISPR genotyping methods: Tracing the evolution from spoligotyping to machine learning

Area of Science:

• Microbiology
• Genetics
• Bioinformatics

Background:

• CRISPR-Cas systems provide prokaryotes with adaptive immunity against foreign genetic material.
• The discovery of CRISPR-Cas function revolutionized genome editing, with broad applications in biotechnology and health.
• CRISPR loci structure was historically used for bacterial pathogen epidemiological genotyping.

Purpose of the Study:

• To review the evolution of CRISPR-based typing strategies for bacterial pathogens.
• To highlight the transition from early PCR-based methods to modern high-throughput sequencing and machine learning approaches.
• To explore new avenues for high-resolution CRISPR-based typing by integrating experimental and computational methods.

Main Methods:

• Review of historical and recent literature on CRISPR-based typing.
• Analysis of PCR-based typing methodologies.
• Discussion of high-throughput sequencing and metagenomic data integration.
• Exploration of machine learning applications in CRISPR-based typing.

Main Results:

• CRISPR arrays store information on past invader encounters, valuable for tracing bacterial microevolution and epidemiology.
• Early PCR-based methods laid the foundation for current advanced typing strategies.
• Recent advancements leverage whole genome sequencing and metagenomic data for high-resolution typing.

Conclusions:

• CRISPR-based typing has evolved significantly, offering powerful tools for microbial epidemiology.
• The integration of advanced sequencing and computational methods enhances the resolution and scope of CRISPR typing.
• Future research can further refine these approaches for comprehensive bacterial pathogen analysis.