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Use of Sanger protocols to identify variants of concern, key mutations and track evolution of SARS-CoV-2.

Authors :
Cabral GB
Ahagon CM
de Souza Guimarães PM
Silva Lopez-Lopes GI
Hussein IM
Cilli A
de Jesus Alves I
Coelho Bombonatte AG
do Carmo Sampaio Tavares Timenetsky M
da Silva Santos JH
de Oliveira Santos KC
Dos Santos FCP
de Macedo Brígido LF
Source :
Journal of virological methods [J Virol Methods] 2022 Feb; Vol. 300, pp. 114422. Date of Electronic Publication: 2021 Dec 13.
Publication Year :
2022

Abstract

Vaccination and the emergence of SARS-CoV-2 variants mark the second year of the pandemic. Variants have amino acid mutations at the spike region, a viral protein central in the understanding of COVID-19 pathogenesis and vaccine response. Variants may dominate local epidemics, as Gamma (P.1) in Brazil, emerging in 2020 and prevailing until mid-2021. Different obstacles hinder a wider use of Next-Generation Sequencing for genomic surveillance. We describe Sanger based sequencing protocols: i) Semi-nested RT-PCR covering up to 3.684 kb (>96 %) spike gene; ii) One-Step RT-PCR for key Receptor Binding Domain (RBD) mutations (codons 417-501); iii) One-Step RT-PCR of partial N region to improve genomic capability. Protocols use leftovers of RNA extracted from nasopharyngeal swabs for quantitative RT-PCR diagnosis; with retro-transcribed DNA sequenced at ABI 3500 using dye termination chemistry. Analyses of sequences from 95 individuals (late 2020/early 2021) identified extensive amino acid variation, 57 % with at least one key mutation at the Receptor Binding Domain, with B.1.1.28 lineage most prevalent, followed by Gamma and Zeta variants, with no Delta variant observed. The relatively low cost and simplicity may provide an accessible tool to improve surveillance of SARS-CoV-2 evolution, monitor new variants and vaccinated breakthroughs.<br /> (Copyright © 2021 Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-0984
Volume :
300
Database :
MEDLINE
Journal :
Journal of virological methods
Publication Type :
Academic Journal
Accession number :
34915086
Full Text :
https://doi.org/10.1016/j.jviromet.2021.114422