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Detecting lineage-defining mutations in SARS-CoV-2 using colorimetric RT-LAMP without probes or additional primers
by
Silveira-Lacerda, Elisângela de Paula
, Souza Júnior, Marcio Neres de
, de Oliveira, Kézia Gomes
, Silva, Lívia do Carmo
, Duarte, Gabriela Rodrigues Mendes
, Estrela, Paulo Felipe Neves
, de Curcio, Juliana Santana
, dos Santos, Carlos Abelardo
, Pauvolid-Corrêa, Alex
, Mendes, Geovana de Melo
, Resende, Paola Cristina
, Siqueira, Marilda Mendonça
in
631/337
/ 631/61
/ Colorimetry
/ COVID-19
/ DNA probes
/ Gene amplification
/ Genetic diversity
/ Genetic variance
/ Genomes
/ Humanities and Social Sciences
/ multidisciplinary
/ Mutation
/ Nucleic acids
/ Pandemics
/ Reverse transcription
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ Vaccination
/ Whole genome sequencing
2022
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Detecting lineage-defining mutations in SARS-CoV-2 using colorimetric RT-LAMP without probes or additional primers
by
Silveira-Lacerda, Elisângela de Paula
, Souza Júnior, Marcio Neres de
, de Oliveira, Kézia Gomes
, Silva, Lívia do Carmo
, Duarte, Gabriela Rodrigues Mendes
, Estrela, Paulo Felipe Neves
, de Curcio, Juliana Santana
, dos Santos, Carlos Abelardo
, Pauvolid-Corrêa, Alex
, Mendes, Geovana de Melo
, Resende, Paola Cristina
, Siqueira, Marilda Mendonça
in
631/337
/ 631/61
/ Colorimetry
/ COVID-19
/ DNA probes
/ Gene amplification
/ Genetic diversity
/ Genetic variance
/ Genomes
/ Humanities and Social Sciences
/ multidisciplinary
/ Mutation
/ Nucleic acids
/ Pandemics
/ Reverse transcription
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ Vaccination
/ Whole genome sequencing
2022
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Detecting lineage-defining mutations in SARS-CoV-2 using colorimetric RT-LAMP without probes or additional primers
by
Silveira-Lacerda, Elisângela de Paula
, Souza Júnior, Marcio Neres de
, de Oliveira, Kézia Gomes
, Silva, Lívia do Carmo
, Duarte, Gabriela Rodrigues Mendes
, Estrela, Paulo Felipe Neves
, de Curcio, Juliana Santana
, dos Santos, Carlos Abelardo
, Pauvolid-Corrêa, Alex
, Mendes, Geovana de Melo
, Resende, Paola Cristina
, Siqueira, Marilda Mendonça
in
631/337
/ 631/61
/ Colorimetry
/ COVID-19
/ DNA probes
/ Gene amplification
/ Genetic diversity
/ Genetic variance
/ Genomes
/ Humanities and Social Sciences
/ multidisciplinary
/ Mutation
/ Nucleic acids
/ Pandemics
/ Reverse transcription
/ Science
/ Science (multidisciplinary)
/ Severe acute respiratory syndrome coronavirus 2
/ Vaccination
/ Whole genome sequencing
2022
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Detecting lineage-defining mutations in SARS-CoV-2 using colorimetric RT-LAMP without probes or additional primers
Journal Article
Detecting lineage-defining mutations in SARS-CoV-2 using colorimetric RT-LAMP without probes or additional primers
2022
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Overview
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.
Publisher
Nature Publishing Group UK,Nature Publishing Group,Nature Portfolio
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