Author | Lopes, Elisson N. | |
Author | Fonseca, Vagner | |
Author | Frias, Diego | |
Author | Tosta, Stephane | |
Author | Salgado, Àlvaro | |
Author | Vialle, Ricardo Assunção | |
Author | Eduardo, Toscano S. Paulo | |
Author | Barreto, Fernanda K. | |
Author | Azevedo, Vasco Ariston de | |
Author | Guarino, Michele | |
Author | Angeletti, Sílvia | |
Author | Ciccozzi, Massimo | |
Author | Alcantara, Luiz C. Junior | |
Author | Giovanetti, Marta | |
Access date | 2021-09-14T10:52:26Z | |
Available date | 2021-09-14T10:52:26Z | |
Document date | 2020 | |
Citation | 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. | pt_BR |
ISSN | 1096-9071 | pt_BR |
URI | https://www.arca.fiocruz.br/handle/icict/49070 | |
Language | eng | pt_BR |
Publisher | Wiley | pt_BR |
Rights | open access | pt_BR |
Subject in Portuguese | SARS-CoV-2 | pt_BR |
Subject in Portuguese | COVID-19 | pt_BR |
Subject in Portuguese | Deotimização do códon | pt_BR |
Subject in Portuguese | Uso de codon | pt_BR |
Subject in Portuguese | Coronavírus | pt_BR |
Title | Betacoronaviruses genome analysis reveals evolution toward specific codons usage: Implications for SARS‐CoV‐2 mitigation strategies | pt_BR |
Type | Article | pt_BR |
DOI | 10.1002/jmv.27056 | |
Abstract | 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. | pt_BR |
Affilliation | Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | 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. | pt_BR |
Affilliation | Universidade do Estado da Bahia. Departamento de Ciências Exatas e da Terra. Salvador, BA, Brasil. | pt_BR |
Affilliation | Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Nash Family Department of Neuroscience & Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. | pt_BR |
Affilliation | Universidade Federal do Rio Grande do Norte. Departamento de Bioquímica. Laboratório de Biologia Molecular Aplicada. Natal RN, Brasil. | pt_BR |
Affilliation | Universidade Federal da Bahia. Vitória da Conquista, BA, Brasil. | pt_BR |
Affilliation | Universidade Federal de Minas Gerais. Instituto de Ciencias Biológicas. Laboratório de Genética Celular e Molecular. Belo Horizonte, MG, Brasil. | pt_BR |
Affilliation | Department of Gastrointestinal Diseases, Campus Bio‐Medico University. Rome, Italy. | pt_BR |
Affilliation | Unit of Clinical Laboratory Science, University Campus Bio‐Medico of Rome. Rome, Italy. | pt_BR |
Affilliation | Medical Statistic and Molecular Epidemiology Unit, University of Biomedical Campus. Rome, Italy. | pt_BR |
Affilliation | 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. | pt_BR |
Affilliation | 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. | pt_BR |
Subject | Codon deoptimization | pt_BR |
Subject | Codon usage | pt_BR |
Subject | Coronaviruses | pt_BR |
Subject | COVID-19 | pt_BR |
Subject | SARS-CoV-2 | pt_BR |