Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/49070 |
Resumo: | Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil. |
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Lopes, Elisson N.Fonseca, VagnerFrias, DiegoTosta, StephaneSalgado, ÀlvaroVialle, Ricardo AssunçãoEduardo, Toscano S. PauloBarreto, Fernanda K.Azevedo, Vasco Ariston deGuarino, MicheleAngeletti, SílviaCiccozzi, MassimoAlcantara, Luiz C. JuniorGiovanetti, Marta2021-09-14T10:52:26Z2021-09-14T10:52:26Z2020LOPES, Elisson N. et al. Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies. Journal of Medical Virology, p.1-5, 2021.1096-9071https://www.arca.fiocruz.br/handle/icict/4907010.1002/jmv.27056engWileySARS-CoV-2COVID-19Deotimização do códonUso de codonCoronavírusCodon deoptimizationCodon usageCoronavirusesCOVID-19SARS-CoV-2Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategiesinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleUniversidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil.KwaZulu‐Natal Research Innovation and Sequencing Platform (KRISP), College of Health Sciences, University of KwaZuluNatal, Durban, South Africa / Ministério da Saúde. Secretaria de Vigilância em Saúde. Coordenação Geral dos Laboratórios de Saúde Pública. Brasília, DF, Brasil.Universidade do Estado da Bahia. Departamento de Ciências Exatas e da Terra. Salvador, BA, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil.Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.Universidade Federal do Rio Grande do Norte. Departamento de Bioquímica. Laboratório de Biologia Molecular Aplicada. Natal RN, Brasil.Universidade Federal da Bahia. Vitória da Conquista, BA, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil.Department of Gastrointestinal Diseases, Campus Bio‐Medico University. Rome, Italy.Unit of Clinical Laboratory Science, University Campus Bio‐Medico of Rome. Rome, Italy.Medical Statistic and Molecular Epidemiology Unit, University of Biomedical Campus. Rome, Italy.Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil / Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Flavivírus. Rio de Janeiro, RJ, Brasil.Abstract Since the start of the coronavirus disease 2019 (COVID‐19) pandemic, the severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) has rapidly widespread worldwide becoming one of the major global public health issues of the last centuries. Currently, COVID‐19 vaccine rollouts are finally upon us carrying the hope of herd immunity once a sufficient proportion of the population has been vaccinated or infected, as a new horizon. However, the emergence of SARS‐CoV‐2 variants brought concerns since, as the virus is exposed to environmental selection pressures, it can mutate and evolve, generating variants that may possess enhanced virulence. Codon usage analysis is a strategy to elucidate the evolutionary pressure of the viral genome suffered by different hosts, as possible cause of the emergence of new variants. Therefore, to get a better picture of the SARS‐CoV‐2 codon bias, we first identified the relative codon usage rate of all Betacoronaviruses lineages. Subsequently, we correlated putative cognate transfer ribo nucleic acid (tRNAs) to reveal how those viruses adapt to hosts in relation to their preferred codon usage. Our analysis revealed seven preferred codons located in three different open reading frame which appear preferentially used by SARS‐CoV‐2. In ad dition, the tRNA adaptation analysis indicates a wide strategy of competition between the virus and mammalian as principal hosts highlighting the importance to reinforce the genomic monitoring to prompt identify any potential adaptation of the virus into new potential hosts which appear to be crucial to prevent and mitigate the pandemic.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; 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dc.title.pt_BR.fl_str_mv |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies |
title |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies |
spellingShingle |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies Lopes, Elisson N. SARS-CoV-2 COVID-19 Deotimização do códon Uso de codon Coronavírus Codon deoptimization Codon usage Coronaviruses COVID-19 SARS-CoV-2 |
title_short |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies |
title_full |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies |
title_fullStr |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies |
title_full_unstemmed |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies |
title_sort |
Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies |
author |
Lopes, Elisson N. |
author_facet |
Lopes, Elisson N. Fonseca, Vagner Frias, Diego Tosta, Stephane Salgado, Àlvaro Vialle, Ricardo Assunção Eduardo, Toscano S. Paulo Barreto, Fernanda K. Azevedo, Vasco Ariston de Guarino, Michele Angeletti, Sílvia Ciccozzi, Massimo Alcantara, Luiz C. Junior Giovanetti, Marta |
author_role |
author |
author2 |
Fonseca, Vagner Frias, Diego Tosta, Stephane Salgado, Àlvaro Vialle, Ricardo Assunção Eduardo, Toscano S. Paulo Barreto, Fernanda K. Azevedo, Vasco Ariston de Guarino, Michele Angeletti, Sílvia Ciccozzi, Massimo Alcantara, Luiz C. Junior Giovanetti, Marta |
author2_role |
author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Lopes, Elisson N. Fonseca, Vagner Frias, Diego Tosta, Stephane Salgado, Àlvaro Vialle, Ricardo Assunção Eduardo, Toscano S. Paulo Barreto, Fernanda K. Azevedo, Vasco Ariston de Guarino, Michele Angeletti, Sílvia Ciccozzi, Massimo Alcantara, Luiz C. Junior Giovanetti, Marta |
dc.subject.other.pt_BR.fl_str_mv |
SARS-CoV-2 COVID-19 Deotimização do códon Uso de codon Coronavírus |
topic |
SARS-CoV-2 COVID-19 Deotimização do códon Uso de codon Coronavírus Codon deoptimization Codon usage Coronaviruses COVID-19 SARS-CoV-2 |
dc.subject.en.pt_BR.fl_str_mv |
Codon deoptimization Codon usage Coronaviruses COVID-19 SARS-CoV-2 |
description |
Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil. |
publishDate |
2020 |
dc.date.issued.fl_str_mv |
2020 |
dc.date.accessioned.fl_str_mv |
2021-09-14T10:52:26Z |
dc.date.available.fl_str_mv |
2021-09-14T10:52:26Z |
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info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
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article |
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publishedVersion |
dc.identifier.citation.fl_str_mv |
LOPES, Elisson N. et al. Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies. Journal of Medical Virology, p.1-5, 2021. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/49070 |
dc.identifier.issn.pt_BR.fl_str_mv |
1096-9071 |
dc.identifier.doi.none.fl_str_mv |
10.1002/jmv.27056 |
identifier_str_mv |
LOPES, Elisson N. et al. Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies. Journal of Medical Virology, p.1-5, 2021. 1096-9071 10.1002/jmv.27056 |
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https://www.arca.fiocruz.br/handle/icict/49070 |
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eng |
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eng |
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Wiley |
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Wiley |
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