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Detecting lineage-defining mutations in SARS-CoV-2 using colorimetric RT-LAMP without probes or additional primers

Authors :
Carlos Abelardo dos Santos
Lívia do Carmo Silva
Marcio Neres de Souza Júnior
Geovana de Melo Mendes
Paulo Felipe Neves Estrela
Kézia Gomes de Oliveira
Juliana Santana de Curcio
Paola Cristina Resende
Marilda Mendonça Siqueira
Alex Pauvolid-Corrêa
Gabriela Rodrigues Mendes Duarte
Elisângela de Paula Silveira-Lacerda
Source :
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Abstract Despite the advance of vaccination worldwide, epidemic waves caused by more transmissible and immune evasive genetic variants of SARS-CoV-2 have sustained the ongoing pandemic of COVID-19. Monitoring such variants is expensive, as it usually relies on whole-genome sequencing methods. Therefore, it is necessary to develop alternatives that could help identify samples from specific variants. Reverse transcription loop-mediated isothermal amplification is a method that has been increasingly used for nucleic acid amplification, as it is cheaper and easier to perform when compared to other molecular techniques. As a proof of concept that can help distinguish variants, we present an RT-LAMP assay capable of detecting samples carrying a group of mutations that can be related to specific SARS-CoV-2 lineages, here demonstrated for the Variant of Concern Gamma. We tested 60 SARS-CoV-2 RNA samples extracted from swab samples and the reaction showed a sensitivity of 93.33%, a specificity of 88.89% and a kappa value of 0.822 for samples with a Ct ≤ 22.93. The RT-LAMP assay demonstrated to be useful to distinguish VOC Gamma and may be of particular interest as a screening approach for variants in countries with poor sequencing coverage.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
12
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.626d588ee1434fb4db5cdc94e7a819
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-022-15368-3