A novel two-step, direct-to-PCR method for virus detection off swabs using human coronavirus 229E.


Journal

Virology journal
ISSN: 1743-422X
Titre abrégé: Virol J
Pays: England
ID NLM: 101231645

Informations de publication

Date de publication:
25 08 2020
Historique:
received: 03 07 2020
accepted: 18 08 2020
entrez: 27 8 2020
pubmed: 28 8 2020
medline: 17 9 2020
Statut: epublish

Résumé

Currently, one of the most reliable methods for viral infection detection are polymerase chain reaction (PCR) based assays. This process is time and resource heavy, requiring multiple steps of lysis, extraction, purification, and amplification procedures. Herein, we have developed a method to detect virus off swabs using solely shaker-mill based mechanical lysis and the transfer of the viral lysate directly to a PCR assay for virus detection, bypassing the substantial reagent and time investments required for extraction and purification steps. Using Human Coronavirus 229E (HCoV-229E) as a model system, we spiked swabs in vitro for proof-of-concept testing. Swabs were spiked in serial dilutions from 1.2 × 10 HCoV-229E in vitro spiked swabs were processed in a novel two-step, direct-to-PCR methodology for viral detection. After running 54 swabs, we confidently determined our limit of detection to be 1.2 × 10 We have proven that the shaker-mill homogenization-based two-step, direct-to-PCR procedures provides sufficient viral lysis off swabs, where the resulting lysate can be used directly in PCR for the detection of HCoV-229E. This finding allows for reductions in the time and resources required for PCR based virus detection in comparison to the traditional extraction-to-PCR methodology.

Sections du résumé

BACKGROUND
Currently, one of the most reliable methods for viral infection detection are polymerase chain reaction (PCR) based assays. This process is time and resource heavy, requiring multiple steps of lysis, extraction, purification, and amplification procedures. Herein, we have developed a method to detect virus off swabs using solely shaker-mill based mechanical lysis and the transfer of the viral lysate directly to a PCR assay for virus detection, bypassing the substantial reagent and time investments required for extraction and purification steps.
METHODS
Using Human Coronavirus 229E (HCoV-229E) as a model system, we spiked swabs in vitro for proof-of-concept testing. Swabs were spiked in serial dilutions from 1.2 × 10
RESULTS
HCoV-229E in vitro spiked swabs were processed in a novel two-step, direct-to-PCR methodology for viral detection. After running 54 swabs, we confidently determined our limit of detection to be 1.2 × 10
CONCLUSION
We have proven that the shaker-mill homogenization-based two-step, direct-to-PCR procedures provides sufficient viral lysis off swabs, where the resulting lysate can be used directly in PCR for the detection of HCoV-229E. This finding allows for reductions in the time and resources required for PCR based virus detection in comparison to the traditional extraction-to-PCR methodology.

Identifiants

pubmed: 32843049
doi: 10.1186/s12985-020-01405-y
pii: 10.1186/s12985-020-01405-y
pmc: PMC7445803
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

129

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Auteurs

Zachary P Morehouse (ZP)

Michigan State University College of Osteopathic Medicine, East Lansing, MI, USA. moreho17@msu.edu.
Omni International Inc, Kennesaw, GA, USA. moreho17@msu.edu.

Caleb M Proctor (CM)

Omni International Inc, Kennesaw, GA, USA.
Department of Biology, Georgia State University, 100 Peidmont Ave SE, 4th Floor, Atlanta, GA, 30303, USA.

Gabriella L Ryan (GL)

Omni International Inc, Kennesaw, GA, USA.
Department of Biology, Georgia State University, 100 Peidmont Ave SE, 4th Floor, Atlanta, GA, 30303, USA.

Rodney J Nash (RJ)

Omni International Inc, Kennesaw, GA, USA. rnash2@gsu.edu.
Department of Biology, Georgia State University, 100 Peidmont Ave SE, 4th Floor, Atlanta, GA, 30303, USA. rnash2@gsu.edu.
Jeevan Biosciences, Tucker, GA, USA. rnash2@gsu.edu.

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Classifications MeSH