OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution
Autor(a) principal: | |
---|---|
Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/1822/75604 |
Resumo: | Extensive transmission of SARS-CoV-2 during the COVID-19 pandemic allowed the generation of thousands of mutations within its genome. While several of these become rare, others largely increase in prevalence, potentially jeopardizing the sensitivity of PCR-based diagnostics. Taking advantage of SARS-CoV-2 genomic knowledge, we designed a one-step probe-based multiplex RT-qPCR (OmniSARS2) to simultaneously detect short fragments of the SARS-CoV-2 genome in ORF1ab, E gene and S gene. Comparative genomics of the most common SARS-CoV-2 lineages, other human betacoronavirus and alphacoronavirus, was the basis for this design, targeting both highly conserved regions across SARS-CoV-2 lineages and variable or absent in other <i>Coronaviridae</i> viruses. The highest analytical sensitivity of this method for SARS-CoV-2 detection was 94.2 copies/mL at 95% detection probability (~1 copy per total reaction volume) for the S gene assay, matching the most sensitive available methods. In vitro specificity tests, performed using reference strains, showed no cross-reactivity with other human coronavirus or common pathogens. The method was compared with commercially available methods and detected the virus in clinical samples encompassing different SARS-CoV-2 lineages, including B.1, B.1.1, B.1.177 or B.1.1.7 and rarer lineages. OmniSARS2 revealed a sensitive and specific viral detection method that is less likely to be affected by lineage evolution oligonucleotide–sample mismatch, of relevance to ensure the accuracy of COVID-19 molecular diagnostic methods. |
id |
RCAP_01b0638d29b6cdbd63c38b4de72d825d |
---|---|
oai_identifier_str |
oai:repositorium.sdum.uminho.pt:1822/75604 |
network_acronym_str |
RCAP |
network_name_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository_id_str |
7160 |
spelling |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolutionSARS-CoV-2COVID-19RT-qPCRB.1.1.7Science & TechnologyExtensive transmission of SARS-CoV-2 during the COVID-19 pandemic allowed the generation of thousands of mutations within its genome. While several of these become rare, others largely increase in prevalence, potentially jeopardizing the sensitivity of PCR-based diagnostics. Taking advantage of SARS-CoV-2 genomic knowledge, we designed a one-step probe-based multiplex RT-qPCR (OmniSARS2) to simultaneously detect short fragments of the SARS-CoV-2 genome in ORF1ab, E gene and S gene. Comparative genomics of the most common SARS-CoV-2 lineages, other human betacoronavirus and alphacoronavirus, was the basis for this design, targeting both highly conserved regions across SARS-CoV-2 lineages and variable or absent in other <i>Coronaviridae</i> viruses. The highest analytical sensitivity of this method for SARS-CoV-2 detection was 94.2 copies/mL at 95% detection probability (~1 copy per total reaction volume) for the S gene assay, matching the most sensitive available methods. In vitro specificity tests, performed using reference strains, showed no cross-reactivity with other human coronavirus or common pathogens. The method was compared with commercially available methods and detected the virus in clinical samples encompassing different SARS-CoV-2 lineages, including B.1, B.1.1, B.1.177 or B.1.1.7 and rarer lineages. OmniSARS2 revealed a sensitive and specific viral detection method that is less likely to be affected by lineage evolution oligonucleotide–sample mismatch, of relevance to ensure the accuracy of COVID-19 molecular diagnostic methods.This work has been funded by Portuguese National funds, through the Foundation for Science and Technology (FCT) (project UIDB/50026/2020, UIDP/50026/2020 and RESEARCH 4 COVID-19 1st edtion_208; fellowships: PD/BD/127826/2016 to C. C. and contract funding 2020.03113.CEECIND to M.I.V.); by the projects NORTE-01-0145-FEDER-072555 and NORTE-01-0145- FEDER-000039, supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). Lineage assignments were provided by the EPICOVIGAL consortium, funded by FONDO SUPERA COVID-19 CRUE/CSIC/Banco Santander and Programa TRASLACIONA COVID-19 (Ref CT850A-2) from Xunta de Galicia.Multidisciplinary Digital Publishing Institute (MDPI)Universidade do MinhoCarvalho-Correia, EduardaCalçada, Carla Sofia MartinsBranca, FernandoEstévez-Gómez, NuriaDe Chiara, LorettaVarela, NairGallego-García, PilarPosada, DavidSousa, HugoSousa, João CarlosVeiga, Maria IsabelOsório, Nuno S.2021-09-262021-09-26T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/1822/75604engCarvalho-Correia, E.; Calçada, C.; Branca, F.; Estévez-Gómez, N.; De Chiara, L.; Varela, N.; Gallego-García, P.; Posada, D.; Sousa, H.; Sousa, J.; Veiga, M.I.; Osório, N.S. OmniSARS2: A Highly Sensitive and Specific RT-qPCR-Based COVID-19 Diagnostic Method Designed to Withstand SARS-CoV-2 Lineage Evolution. Biomedicines 2021, 9, 1314. https://doi.org/10.3390/biomedicines91013142227-905910.3390/biomedicines9101314https://www.mdpi.com/2227-9059/9/10/1314info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-07-21T11:55:58Zoai:repositorium.sdum.uminho.pt:1822/75604Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:45:33.581197Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution |
title |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution |
spellingShingle |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution Carvalho-Correia, Eduarda SARS-CoV-2 COVID-19 RT-qPCR B.1.1.7 Science & Technology |
title_short |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution |
title_full |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution |
title_fullStr |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution |
title_full_unstemmed |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution |
title_sort |
OmniSARS2: a highly sensitive and specific RT-qPCR-based COVID-19 diagnostic method designed to withstand SARS-CoV-2 lineage evolution |
author |
Carvalho-Correia, Eduarda |
author_facet |
Carvalho-Correia, Eduarda Calçada, Carla Sofia Martins Branca, Fernando Estévez-Gómez, Nuria De Chiara, Loretta Varela, Nair Gallego-García, Pilar Posada, David Sousa, Hugo Sousa, João Carlos Veiga, Maria Isabel Osório, Nuno S. |
author_role |
author |
author2 |
Calçada, Carla Sofia Martins Branca, Fernando Estévez-Gómez, Nuria De Chiara, Loretta Varela, Nair Gallego-García, Pilar Posada, David Sousa, Hugo Sousa, João Carlos Veiga, Maria Isabel Osório, Nuno S. |
author2_role |
author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Carvalho-Correia, Eduarda Calçada, Carla Sofia Martins Branca, Fernando Estévez-Gómez, Nuria De Chiara, Loretta Varela, Nair Gallego-García, Pilar Posada, David Sousa, Hugo Sousa, João Carlos Veiga, Maria Isabel Osório, Nuno S. |
dc.subject.por.fl_str_mv |
SARS-CoV-2 COVID-19 RT-qPCR B.1.1.7 Science & Technology |
topic |
SARS-CoV-2 COVID-19 RT-qPCR B.1.1.7 Science & Technology |
description |
Extensive transmission of SARS-CoV-2 during the COVID-19 pandemic allowed the generation of thousands of mutations within its genome. While several of these become rare, others largely increase in prevalence, potentially jeopardizing the sensitivity of PCR-based diagnostics. Taking advantage of SARS-CoV-2 genomic knowledge, we designed a one-step probe-based multiplex RT-qPCR (OmniSARS2) to simultaneously detect short fragments of the SARS-CoV-2 genome in ORF1ab, E gene and S gene. Comparative genomics of the most common SARS-CoV-2 lineages, other human betacoronavirus and alphacoronavirus, was the basis for this design, targeting both highly conserved regions across SARS-CoV-2 lineages and variable or absent in other <i>Coronaviridae</i> viruses. The highest analytical sensitivity of this method for SARS-CoV-2 detection was 94.2 copies/mL at 95% detection probability (~1 copy per total reaction volume) for the S gene assay, matching the most sensitive available methods. In vitro specificity tests, performed using reference strains, showed no cross-reactivity with other human coronavirus or common pathogens. The method was compared with commercially available methods and detected the virus in clinical samples encompassing different SARS-CoV-2 lineages, including B.1, B.1.1, B.1.177 or B.1.1.7 and rarer lineages. OmniSARS2 revealed a sensitive and specific viral detection method that is less likely to be affected by lineage evolution oligonucleotide–sample mismatch, of relevance to ensure the accuracy of COVID-19 molecular diagnostic methods. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-09-26 2021-09-26T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/1822/75604 |
url |
http://hdl.handle.net/1822/75604 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Carvalho-Correia, E.; Calçada, C.; Branca, F.; Estévez-Gómez, N.; De Chiara, L.; Varela, N.; Gallego-García, P.; Posada, D.; Sousa, H.; Sousa, J.; Veiga, M.I.; Osório, N.S. OmniSARS2: A Highly Sensitive and Specific RT-qPCR-Based COVID-19 Diagnostic Method Designed to Withstand SARS-CoV-2 Lineage Evolution. Biomedicines 2021, 9, 1314. https://doi.org/10.3390/biomedicines9101314 2227-9059 10.3390/biomedicines9101314 https://www.mdpi.com/2227-9059/9/10/1314 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
publisher.none.fl_str_mv |
Multidisciplinary Digital Publishing Institute (MDPI) |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
|
_version_ |
1799132208039985152 |