Cell Reports Methods · 2023 · 10 citations · 37 references
Life SciencesBiologyInfectious DiseasesGenome EditingGenomicsMetagenomicsCrispr-cas SystemsDna SequencingGenome SequencingPathogen DetectionPathogen Sequence AnalysisShotgun MetagenomicsClinical Next-generation SequencingClustered Regularly Interspaced Short Palindromic Repeats ScreeningCrispr-cas9 Genome EditingDna Sequence Data AnalysisHost Response AssessmentMetagenomic Pathogen DetectionSars-cov-2 InfectionViral Strain Typing
The lack of preparedness for detecting and responding to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pathogen (i.e., COVID-19) has caused enormous harm to public health and the economy. Testing strategies deployed on a population scale at day zero, i.e., the time of the first reported case, would be of significant value. Next-generation sequencing (NGS) has such capabilities; however, it has limited detection sensitivity for low-copy-number pathogens. Here, we leverage the CRISPR-Cas9 system to effectively remove abundant sequences not contributing to pathogen detection and show that NGS detection sensitivity of SARS-CoV-2 approaches that of RT-qPCR. The resulting sequence data can also be used for variant strain typing, co-infection detection, and individual human host response assessment, all in a single molecular and analysis workflow. This NGS work flow is pathogen agnostic and, therefore, has the potential to transform how large-scale pandemic response and focused clinical infectious disease testing are pursued in the future.
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