Introduction
A disease with a cluster of pneumonia like symptoms arose in Wuhan City, China back in December, 2019 and broke out across the whole world later on. World Health Organization (WHO) recognized a new coronavirus strain behind that disease and designated the virus as 2019 novel coronavirus (nCoV-2019) [1, 2]. Known as Severe Acute Respiratory Syndrome (SARS CoV-2), this novel coronavirus actually roots back to the viral family of Coronaviridae and order of Nidoviralae as phylogenetic analysis suggests [3]. The coronavirus disease 2019 (COVID-19) was announced as a pandemic by WHO [4] as it has currently affected almost all the countries and territories on earth. As of 13th May at 16.28 GMT, over 2.4 million people are currently infected and over 295,000 have fallen to death due to the pandemic (https://www.worldometers.info/coronavirus/). Asian territory is suffering much as some 718,000 cases are on the notice at the moment and about 24,000 are dead (https://www.worldometers.info/coronavirus/). To understand further epidemiology of the outbreak in Asian countries especially highly densely populated South Asian regions, analysis of the genome sequencing of the viral strains from this region is very important. So far, almost 1400 whole genome sequencing data have been published from Asian regions and among South Asian countries (https://www.gisaid.org/), India, Pakistan, Sri-Lanka have already published their genome sequences, while Bangladesh has just published its genome sequencing data for the first time. In order to understand the molecular epidemiology of the outbreak and suitability to design universal vaccine, we analyzed the sequences of SARS-CoV-2 genome derived from Bangladeshi sample comparing with other available genomes deposited at Global Initiative on Sharing Avian Influenza Data (GISAID).