Since 2020, the COVID-19 pandemic has spread worldwide, causing health, economic, and social distress. Containment strategies rely on rapid and consistent methodology for molecular detection and characterization. Emerging variants of concern (VOCs) are currently associated with increased infectivity and immune escape (natural defence mechanisms and vaccine). Several VOCs have been detected, including Alpha variant (B.1.1.7), Beta variant (B.1.351), Gamma variant (P.1/B.1.1.28.1) and Delta variant (B.1.617.2), first identified in the UK, South Africa, Brazil and India, respectively. Here, a rapid and low-cost technique was validated to distinguish the Alpha, Beta, Gamma, and Delta SARS-CoV-2 variants by detecting spike gene mutations using a real-time reverse transcription polymerase chain reaction methodology (RT-PCR). A total of 132 positive patients affected by coronavirus disease-19 (COVID-19) were analysed by employing RT-PCR to target single-nucleotide polymorphisms (SNPs) to screen spike protein mutations. All data were validated by the next-generation sequencing (NGS) methodology and using sequences from a public database. Among 132 COVID-19-positive samples, we were able to discriminate all of the investigated SARS-CoV-2 variants with 100% concordance when compared with the NGS method. RT-PCR -based assays for identifying circulating VOCs of SARS-CoV-2 resulted in a rapid method used to identify specific SARS-CoV-2 variants, allowing for a better survey of the spread of the virus and its transmissibility in the pandemic phase.

A rapid and consistent method to identify four SARS-CoV-2 variants during the first half of 2021 by RT-PCR / Fabiani, Marco; Margiotti, Katia; Sabatino, Manuela; Viola, Antonella; Mesoraca, Alvaro; Giorlandino, Claudio. - In: VACCINES. - ISSN 2076-393X. - 10:3(2022), pp. 1-10. [10.3390/vaccines10030483]

A rapid and consistent method to identify four SARS-CoV-2 variants during the first half of 2021 by RT-PCR

Marco Fabiani
Primo
;
Manuela Sabatino;
2022

Abstract

Since 2020, the COVID-19 pandemic has spread worldwide, causing health, economic, and social distress. Containment strategies rely on rapid and consistent methodology for molecular detection and characterization. Emerging variants of concern (VOCs) are currently associated with increased infectivity and immune escape (natural defence mechanisms and vaccine). Several VOCs have been detected, including Alpha variant (B.1.1.7), Beta variant (B.1.351), Gamma variant (P.1/B.1.1.28.1) and Delta variant (B.1.617.2), first identified in the UK, South Africa, Brazil and India, respectively. Here, a rapid and low-cost technique was validated to distinguish the Alpha, Beta, Gamma, and Delta SARS-CoV-2 variants by detecting spike gene mutations using a real-time reverse transcription polymerase chain reaction methodology (RT-PCR). A total of 132 positive patients affected by coronavirus disease-19 (COVID-19) were analysed by employing RT-PCR to target single-nucleotide polymorphisms (SNPs) to screen spike protein mutations. All data were validated by the next-generation sequencing (NGS) methodology and using sequences from a public database. Among 132 COVID-19-positive samples, we were able to discriminate all of the investigated SARS-CoV-2 variants with 100% concordance when compared with the NGS method. RT-PCR -based assays for identifying circulating VOCs of SARS-CoV-2 resulted in a rapid method used to identify specific SARS-CoV-2 variants, allowing for a better survey of the spread of the virus and its transmissibility in the pandemic phase.
2022
alpha; b.1.1.7; covid-19; delta; sars-cov-2; taqman probe; voc
01 Pubblicazione su rivista::01a Articolo in rivista
A rapid and consistent method to identify four SARS-CoV-2 variants during the first half of 2021 by RT-PCR / Fabiani, Marco; Margiotti, Katia; Sabatino, Manuela; Viola, Antonella; Mesoraca, Alvaro; Giorlandino, Claudio. - In: VACCINES. - ISSN 2076-393X. - 10:3(2022), pp. 1-10. [10.3390/vaccines10030483]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1716363
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