Characterization of codon usage pattern in SARS-CoV-2
Abstract The outbreak of coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed significant threats to international health. The genetic traits as well as evolutionary processes in this novel coronavirus are not fully characterized, and thei...
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doaj-b3ae925dde1e406fbef0d619ef8c45762020-11-25T03:27:53ZengBMCVirology Journal1743-422X2020-09-0117111010.1186/s12985-020-01395-xCharacterization of codon usage pattern in SARS-CoV-2Wei Hou0Tianjin Second People’s Hospital and Tianjin Institute of HepatologyAbstract The outbreak of coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed significant threats to international health. The genetic traits as well as evolutionary processes in this novel coronavirus are not fully characterized, and their roles in viral pathogenesis are yet largely unknown. To get a better picture of the codon architecture of this newly emerging coronavirus, in this study we perform bioinformatic analysis, based on publicly available nucleotide sequences of SARS-CoV-2 along with those of other members of human coronaviruses as well as non-human coronaviruses in different hosts, to take a snapshot of the genome-wide codon usage pattern of SARS-CoV-2 and uncover that all over-represented codons end with A/U and this newly emerging coronavirus has a relatively low codon usage bias, which is shaped by both mutation pressure and natural selection. Additionally, there is slight variation in the codon usage pattern among the SARS-CoV-2 isolates from different geo-locations. Furthermore, the overall codon usage pattern of SARS-CoV-2 is generally similar to that of its phylogenetic relatives among non-human betacoronaviruses such as RaTG13. Taken together, we comprehensively analyze the characteristics of codon usage pattern in SARS-CoV-2 via bioinformatic approaches. The information from this research may not only be helpful to get new insights into the evolution of SARS-CoV-2, but also have potential value for developing coronavirus vaccines.http://link.springer.com/article/10.1186/s12985-020-01395-xCOVID-19CoronavirusesSARS-CoV-2Codon usage pattern |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wei Hou |
spellingShingle |
Wei Hou Characterization of codon usage pattern in SARS-CoV-2 Virology Journal COVID-19 Coronaviruses SARS-CoV-2 Codon usage pattern |
author_facet |
Wei Hou |
author_sort |
Wei Hou |
title |
Characterization of codon usage pattern in SARS-CoV-2 |
title_short |
Characterization of codon usage pattern in SARS-CoV-2 |
title_full |
Characterization of codon usage pattern in SARS-CoV-2 |
title_fullStr |
Characterization of codon usage pattern in SARS-CoV-2 |
title_full_unstemmed |
Characterization of codon usage pattern in SARS-CoV-2 |
title_sort |
characterization of codon usage pattern in sars-cov-2 |
publisher |
BMC |
series |
Virology Journal |
issn |
1743-422X |
publishDate |
2020-09-01 |
description |
Abstract The outbreak of coronavirus disease 2019 (COVID-19) due to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed significant threats to international health. The genetic traits as well as evolutionary processes in this novel coronavirus are not fully characterized, and their roles in viral pathogenesis are yet largely unknown. To get a better picture of the codon architecture of this newly emerging coronavirus, in this study we perform bioinformatic analysis, based on publicly available nucleotide sequences of SARS-CoV-2 along with those of other members of human coronaviruses as well as non-human coronaviruses in different hosts, to take a snapshot of the genome-wide codon usage pattern of SARS-CoV-2 and uncover that all over-represented codons end with A/U and this newly emerging coronavirus has a relatively low codon usage bias, which is shaped by both mutation pressure and natural selection. Additionally, there is slight variation in the codon usage pattern among the SARS-CoV-2 isolates from different geo-locations. Furthermore, the overall codon usage pattern of SARS-CoV-2 is generally similar to that of its phylogenetic relatives among non-human betacoronaviruses such as RaTG13. Taken together, we comprehensively analyze the characteristics of codon usage pattern in SARS-CoV-2 via bioinformatic approaches. The information from this research may not only be helpful to get new insights into the evolution of SARS-CoV-2, but also have potential value for developing coronavirus vaccines. |
topic |
COVID-19 Coronaviruses SARS-CoV-2 Codon usage pattern |
url |
http://link.springer.com/article/10.1186/s12985-020-01395-x |
work_keys_str_mv |
AT weihou characterizationofcodonusagepatterninsarscov2 |
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