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10.1002/jmv.25754

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32159237!7228358!32159237
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suck abstract from ncbi


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pmid32159237      J+Med+Virol 2020 ; 92 (6): 660-666
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  • From SARS and MERS CoVs to SARS-CoV-2: Moving toward more biased codon usage in viral structural and nonstructural genes #MMPMID32159237
  • Kandeel M; Ibrahim A; Fayez M; Al-Nazawi M
  • J Med Virol 2020[Jun]; 92 (6): 660-666 PMID32159237show ga
  • BACKGROUND: Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging disease with fatal outcomes. In this study, a fundamental knowledge gap question is to be resolved by evaluating the differences in biological and pathogenic aspects of SARS-CoV-2 and the changes in SARS-CoV-2 in comparison with the two prior major COV epidemics, SARS and Middle East respiratory syndrome (MERS) coronaviruses. METHODS: The genome composition, nucleotide analysis, codon usage indices, relative synonymous codons usage, and effective number of codons (ENc) were analyzed in the four structural genes; Spike (S), Envelope (E), membrane (M), and Nucleocapsid (N) genes, and two of the most important nonstructural genes comprising RNA-dependent RNA polymerase and main protease (Mpro) of SARS-CoV-2, Beta-CoV from pangolins, bat SARS, MERS, and SARS CoVs. RESULTS: SARS-CoV-2 prefers pyrimidine rich codons to purines. Most high-frequency codons were ending with A or T, while the low frequency and rare codons were ending with G or C. SARS-CoV-2 structural proteins showed 5 to 20 lower ENc values, compared with SARS, bat SARS, and MERS CoVs. This implies higher codon bias and higher gene expression efficiency of SARS-CoV-2 structural proteins. SARS-CoV-2 encoded the highest number of over-biased and negatively biased codons. Pangolin Beta-CoV showed little differences with SARS-CoV-2 ENc values, compared with SARS, bat SARS, and MERS CoV. CONCLUSION: Extreme bias and lower ENc values of SARS-CoV-2, especially in Spike, Envelope, and Mpro genes, are suggestive for higher gene expression efficiency, compared with SARS, bat SARS, and MERS CoVs.
  • |Animals[MESH]
  • |Base Sequence[MESH]
  • |Betacoronavirus/classification/*genetics/pathogenicity[MESH]
  • |COVID-19[MESH]
  • |Chiroptera/microbiology[MESH]
  • |Codon Usage[MESH]
  • |Computational Biology[MESH]
  • |Coronavirus 3C Proteases[MESH]
  • |Coronavirus Envelope Proteins[MESH]
  • |Coronavirus Infections/epidemiology/transmission/virology[MESH]
  • |Coronavirus Nucleocapsid Proteins[MESH]
  • |Cysteine Endopeptidases/*genetics/metabolism[MESH]
  • |Eutheria/microbiology[MESH]
  • |Gene Expression[MESH]
  • |Humans[MESH]
  • |Middle East Respiratory Syndrome Coronavirus/classification/*genetics/pathogenicity[MESH]
  • |Nucleocapsid Proteins/*genetics/metabolism[MESH]
  • |Pandemics[MESH]
  • |Phosphoproteins[MESH]
  • |Pneumonia, Viral/epidemiology/transmission/virology[MESH]
  • |RNA-Dependent RNA Polymerase/*genetics/metabolism[MESH]
  • |SARS-CoV-2[MESH]
  • |Sequence Homology, Nucleic Acid[MESH]
  • |Severe Acute Respiratory Syndrome/epidemiology/transmission/virology[MESH]
  • |Severe acute respiratory syndrome-related coronavirus/classification/*genetics/pathogenicity[MESH]
  • |Spike Glycoprotein, Coronavirus/*genetics/metabolism[MESH]
  • |Viral Envelope Proteins/*genetics/metabolism[MESH]


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