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Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants

Since the first SARS-CoV-2 outbreak, mutations such as single nucleotide polymorphisms (SNPs) and insertion/deletions (INDELs) have changed and characterized the viral genome sequence, structure and protein folding leading to the onset of new variants. The presence of those alterations challenges no...

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Autores principales: Gatti, Giulia, Brandolini, Martina, Mancini, Andrea, Taddei, Francesca, Zannoli, Silvia, Dirani, Giorgio, Manera, Martina, Arfilli, Valentina, Denicolò, Agnese, Marzucco, Anna, Montanari, Maria Sofia, Zaghi, Irene, Guerra, Massimiliano, Tennina, Rita, Marino, Maria Michela, Grumiro, Laura, Cricca, Monica, Sambri, Vittorio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458892/
https://www.ncbi.nlm.nih.gov/pubmed/37631974
http://dx.doi.org/10.3390/v15081630
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author Gatti, Giulia
Brandolini, Martina
Mancini, Andrea
Taddei, Francesca
Zannoli, Silvia
Dirani, Giorgio
Manera, Martina
Arfilli, Valentina
Denicolò, Agnese
Marzucco, Anna
Montanari, Maria Sofia
Zaghi, Irene
Guerra, Massimiliano
Tennina, Rita
Marino, Maria Michela
Grumiro, Laura
Cricca, Monica
Sambri, Vittorio
author_facet Gatti, Giulia
Brandolini, Martina
Mancini, Andrea
Taddei, Francesca
Zannoli, Silvia
Dirani, Giorgio
Manera, Martina
Arfilli, Valentina
Denicolò, Agnese
Marzucco, Anna
Montanari, Maria Sofia
Zaghi, Irene
Guerra, Massimiliano
Tennina, Rita
Marino, Maria Michela
Grumiro, Laura
Cricca, Monica
Sambri, Vittorio
author_sort Gatti, Giulia
collection PubMed
description Since the first SARS-CoV-2 outbreak, mutations such as single nucleotide polymorphisms (SNPs) and insertion/deletions (INDELs) have changed and characterized the viral genome sequence, structure and protein folding leading to the onset of new variants. The presence of those alterations challenges not only the clinical field but also the diagnostic demand due to failures in gene detection or incompleteness of polymerase chain reaction (PCR) results. In particular, the analysis of understudied genes such as N and the investigation through whole-genome next generation sequencing (WG-NGS) of regions more prone to mutate can help in the identification of new or reacquired mutations, with the aim of designing robust and long-lasting primers. In 48 samples of SARS-CoV-2 (including Alpha, Delta and Omicron variants), a lack of N gene amplification was observed in the genomes analyzed through WG-NGS. Three gene regions were detected hosting the highest number of SNPs and INDELs. In several cases, the latter can interfere deeply with both the sensitivity of diagnostic methodologies and the final protein folding. The monitoring over time of the viral evolution and the reacquisition among different variants of the same mutations or different alterations within the same genomic positions can be relevant to avoid unnecessary consumption of resources.
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spelling pubmed-104588922023-08-27 Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants Gatti, Giulia Brandolini, Martina Mancini, Andrea Taddei, Francesca Zannoli, Silvia Dirani, Giorgio Manera, Martina Arfilli, Valentina Denicolò, Agnese Marzucco, Anna Montanari, Maria Sofia Zaghi, Irene Guerra, Massimiliano Tennina, Rita Marino, Maria Michela Grumiro, Laura Cricca, Monica Sambri, Vittorio Viruses Brief Report Since the first SARS-CoV-2 outbreak, mutations such as single nucleotide polymorphisms (SNPs) and insertion/deletions (INDELs) have changed and characterized the viral genome sequence, structure and protein folding leading to the onset of new variants. The presence of those alterations challenges not only the clinical field but also the diagnostic demand due to failures in gene detection or incompleteness of polymerase chain reaction (PCR) results. In particular, the analysis of understudied genes such as N and the investigation through whole-genome next generation sequencing (WG-NGS) of regions more prone to mutate can help in the identification of new or reacquired mutations, with the aim of designing robust and long-lasting primers. In 48 samples of SARS-CoV-2 (including Alpha, Delta and Omicron variants), a lack of N gene amplification was observed in the genomes analyzed through WG-NGS. Three gene regions were detected hosting the highest number of SNPs and INDELs. In several cases, the latter can interfere deeply with both the sensitivity of diagnostic methodologies and the final protein folding. The monitoring over time of the viral evolution and the reacquisition among different variants of the same mutations or different alterations within the same genomic positions can be relevant to avoid unnecessary consumption of resources. MDPI 2023-07-26 /pmc/articles/PMC10458892/ /pubmed/37631974 http://dx.doi.org/10.3390/v15081630 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Brief Report
Gatti, Giulia
Brandolini, Martina
Mancini, Andrea
Taddei, Francesca
Zannoli, Silvia
Dirani, Giorgio
Manera, Martina
Arfilli, Valentina
Denicolò, Agnese
Marzucco, Anna
Montanari, Maria Sofia
Zaghi, Irene
Guerra, Massimiliano
Tennina, Rita
Marino, Maria Michela
Grumiro, Laura
Cricca, Monica
Sambri, Vittorio
Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants
title Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants
title_full Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants
title_fullStr Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants
title_full_unstemmed Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants
title_short Genomic and Temporal Analysis of Deletions Correlated to qRT-PCR Dropout in N Gene in Alpha, Delta and Omicron Variants
title_sort genomic and temporal analysis of deletions correlated to qrt-pcr dropout in n gene in alpha, delta and omicron variants
topic Brief Report
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10458892/
https://www.ncbi.nlm.nih.gov/pubmed/37631974
http://dx.doi.org/10.3390/v15081630
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