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Updated: Jun 8, 2026

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
Published on: May 10, 2024
Use of cellular CRISPR (clusters of regularly interspaced short palindromic repeats) spacer-based microarrays for
Jamie C Snyder1, Mary M Bateson, Matthew Lavin
1Thermal Biology Institute, Montana State University, Bozeman, Montana 59717, USA.
Abstract:
It is currently difficult to detect unknown viruses in any given environment. The recent discovery of CRISPR (clusters of regularly interspaced short palindromic repeats) loci within bacterial and archaeal cellular genomes may provide an alternative approach to detect new viruses. It has been shown that the spacer sequences between the direct repeat units of the CRISPR loci are often derived from viruses and likely function as guide sequences to protect the cell from viral infection. The spacer sequences within the CRISPR loci may therefore serve as a record of the viruses that have replicated within the cell. We have cataloged the CRISPR spacer sequences from cellular metagenomic data from high-temperature (>80°C), acidic (pH < 4) hot spring environments located in Yellowstone National Park (YNP). We designed a microarray platform utilizing these CRISPR spacer sequences as potential probes to detect viruses present in YNP hot spring environments. We show that this microarray approach can detect viral sequences directly from virus-enriched environmental samples, detecting new viruses which have not been previously characterized. We further demonstrated that this microarray approach can be used to examine temporal changes in viral populations within the environment. Our results demonstrate that CRISPR spacer sequence-based microarrays will be useful tools for detecting and monitoring viruses from diverse environmental samples.
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