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).