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bioRxiv · 10.1101/2020.04.07.030924

Exploring the genomic and proteomic variations of SARS-CoV-2 spike glycoprotein: a computational biology approach

Lokman, S. M.·Rasheduzzaman, M.·Salauddin, A.·Barua, R.·Tanzina, A. Y.·Rumi, M. H.·Hossain, M. I.·Siddiki, A. Z.·Mannan, A.·Hasan, M. M.
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Abstract

The newly identified SARS-CoV-2 has now been reported from around 183 countries with more than a million confirmed human cases including more than 68000 deaths. The genomes of SARS-COV-2 strains isolated from different parts of the world are now available and the unique features of constituent genes and proteins have gotten substantial attention recently. Spike glycoprotein is widely considered as a possible target to be explored because of its role during the entry of coronaviruses into host cells. We analyzed 320 whole-genome sequences and 320 spike protein sequences of SARS-CoV-2 using multiple sequence alignment tools. In this study, 483 unique variations have been identified among the genomes including 25 non-synonymous mutations and one deletion in the spike protein of SARS-CoV-2. Among the 26 variations detected, 12 variations were located at the N-terminal domain and 6 variations at the receptor-binding domain (RBD) which might alter the interaction with receptor molecules. In addition, 22 amino acid insertions were identified in the spike protein of SARS-CoV-2 in comparison with that of SARS-CoV. Phylogenetic analyses of spike protein revealed that Bat coronavirus have a close evolutionary relationship with circulating SARS-CoV-2. The genetic variation analysis data presented in this study can help a better understanding of SARS-CoV-2 pathogenesis. Based on our findings, potential inhibitors can be designed and tested targeting these proposed sites of variation.

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Lokman, S. M., Rasheduzzaman, M., Salauddin, A., Barua, R., Tanzina, A. Y., Rumi, M. H., Hossain, M. I., Siddiki, A. Z., Mannan, A., Hasan, M. M.. 2020-04-11. Exploring the genomic and proteomic variations of SARS-CoV-2 spike glycoprotein: a computational biology approach. https://doi.org/10.1101/2020.04.07.030924

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