Research Paper
Ancestral origin, antigenic resemblance and epidemiological insights of novel coronavirus (SARS-CoV-2): Global burden and Bangladesh perspective

https://doi.org/10.1016/j.meegid.2020.104440Get rights and content

Highlights

  • Phylogenetic tree clearly demonstrating the ancestral origin and distant evolutionary relationships of the newly epidemic novel coronavirus SARS-CoV-2.

  • SARS-CoV-2 proteins showed highest level of similarity and identical patterns with SARS-CoV.

  • SARS-CoV-2 antigenic epitopes were significantly conserved with antigenic epitopes derived from SARS-CoV.

  • COVID-19 poses a great burden across the world in terms of geographical coverage, occurrence of cases and death toll.

Abstract

SARS-CoV-2, a new coronavirus strain responsible for COVID-19, has emerged in Wuhan City, China, and continuing its global pandemic nature. The availability of the complete gene sequences of the virus helps to know about the origin and molecular characteristics of this virus. In the present study, we performed bioinformatic analysis of the available gene sequence data of SARS-CoV-2 for the understanding of evolution and molecular characteristics and immunogenic resemblance of the circulating viruses. Phylogenetic analysis was performed for four types of representative viral proteins (spike, membrane, envelope and nucleoprotein) of SARS-CoV-2, HCoV-229E, HCoV-OC43, SARS-CoV, HCoV-NL63, HKU1, MERS-CoV, HKU4, HKU5 and BufCoV-HKU26. The findings demonstrated that SARS-CoV-2 exhibited convergent evolutionary relation with previously reported SARS-CoV. It was also depicted that SARS-CoV-2 proteins were highly similar and identical to SARS-CoV proteins, though proteins from other coronaviruses showed a lower level of resemblance. The cross-checked conservancy analysis of SARS-CoV-2 antigenic epitopes showed significant conservancy with antigenic epitopes derived from SARS-CoV. Descriptive epidemiological analysis on several epidemiological indices was performed on available epidemiological outbreak information from several open databases on COVID-19 (SARS-CoV-2). Satellite-derived imaging data have been employed to understand the role of temperature in the environmental persistence of the virus. Findings of the descriptive analysis were used to describe the global impact of newly emerged SARS-CoV-2, and the risk of an epidemic in Bangladesh.

Keywords

SARS-CoV-2
Evolutionary analysis
Temperature
Descriptive epidemiology
Pandemic
Bangladesh

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1

The first two authors contributed equally to this work.

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