Amplification-free detection of zoonotic viruses using Cas13 and multiple CRISPR RNAs

Zoonotic viruses such as hantaviruses and influenza A viruses present a threat to humans and livestock. There is thus a need for methods that are rapid, sensitive and relatively cheap to detect infections with these pathogens early. Here, we use an amplification-free clustered regularly interspaced short palindromic repeats-associated protein 13 (CRISPR-Cas13)-based assay, which is simple, cheap and field-deployable, to detect the presence or absence of genomic hantavirus or influenza A virus RNA. In addition, we evaluate whether the use of multiple CRISPR RNAs (crRNAs) can improve the sensitivity of this amplification-free method. We demonstrate that for the hantaviruses Tula virus (TULV) and Andes virus (ANDV), a combination of two or three crRNAs provides the best sensitivity for detecting viral RNA, whereas for influenza virus RNA detection, additional crRNAs provide no consistent benefit. We also show that the amplification-free method can be used to detect TULV and ANDV RNA in tissue culture infection samples, ANDV from hamster lung samples and influenza A virus RNA in clinical nasopharyngeal swabs. In clinical samples, the Cas13 assay has an 85% agreement with RT-qPCR for identifying a positive sample. Overall, these findings indicate that amplification-free CRISPR-Cas13 detection of viral RNA has potential as a tool for rapidly detecting zoonotic virus infections.

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Publication Details

Journal
Journal of General Virology
Published
2025-11-03
DOI
https://doi.org/10.1099/jgv.0.002169
Citations
1
Primary Topic
Viral Infections and Vectors
Type
article
Field-Weighted Citation Impact
1.40

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article

Amplification-free detection of zoonotic viruses using Cas13 and multiple CRISPR RNAs

Cameron Myhrvold, Aartjan J.W. te Velthuis, Joseph Prescott, Benjamin E. Nilsson-Payant et al.
1 citations
Journal of General Virology
Viral Infections and Vectors
1.40
article

Amplification-free detection of zoonotic viruses using Cas13 and multiple CRISPR RNAs

Cameron Myhrvold, Aartjan J.W. te Velthuis, Joseph Prescott, Benjamin E. Nilsson-Payant, Silke A. Riesle‐Sbarbaro, Caitlin H. Lamb
article en
1 citations

Abstract

Zoonotic viruses such as hantaviruses and influenza A viruses present a threat to humans and livestock. There is thus a need for methods that are rapid, sensitive and relatively cheap to detect infections with these pathogens early. Here, we use an amplification-free clustered regularly interspaced short palindromic repeats-associated protein 13 (CRISPR-Cas13)-based assay, which is simple, cheap and field-deployable, to detect the presence or absence of genomic hantavirus or influenza A virus RNA. In addition, we evaluate whether the use of multiple CRISPR RNAs (crRNAs) can improve the sensitivity of this amplification-free method. We demonstrate that for the hantaviruses Tula virus (TULV) and Andes virus (ANDV), a combination of two or three crRNAs provides the best sensitivity for detecting viral RNA, whereas for influenza virus RNA detection, additional crRNAs provide no consistent benefit. We also show that the amplification-free method can be used to detect TULV and ANDV RNA in tissue culture infection samples, ANDV from hamster lung samples and influenza A virus RNA in clinical nasopharyngeal swabs. In clinical samples, the Cas13 assay has an 85% agreement with RT-qPCR for identifying a positive sample. Overall, these findings indicate that amplification-free CRISPR-Cas13 detection of viral RNA has potential as a tool for rapidly detecting zoonotic virus infections.

Journal of General VirologyVol. 106(11)
Princeton University (US), Robert Koch Institute (DE), Karolinska Institutet (SE), Medizinische Hochschule Hannover (DE), Center for Experimental and Clinical Infection Research (DE)
National Science Foundation, Bill and Melinda Gates Foundation, Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Deutsche Forschungsgemeinschaft, Vetenskapsrådet, Robert Koch Institut, National Institutes of Health, Centers for Disease Control and Prevention, National Institute of General Medical Sciences
Openalex Percentile: Top 15%
Viral Infections and Vectors
1.40
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