Phylogenetic Tree Construction to Reveal the Detailed Evolution of SARS-CoV-2

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Alaa Khudair Abbas Al-Khafaji, Bashar Talib Al-Nuaimi

Abstract

The outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which causes coronavirus disease 2019 (COVID-19), has spread worldwide. Therefore, this study aimed to create a phylogenetic tree construction of SARS-CoV-2 and other species of coronavirus by using the Maximum Likelihood Estimate approach after Perform Multiple Sequence Alignment. This study utilized 34 isolates of SARS-CoV-2 as well as another (Alpha & Beta) coronavirus species retrieved from the GenBank database (National Center for Biotechnology Information) for this investigation. The current findings showed that A highly accurate and trustworthy phylogenetic tree was obtained by using the Maximum Likelihood Estimate approach to show the evolutionary relationships linking between SARS-CoV-2s and other coronavirus species and determined the SARS-CoV-2 variations.

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