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In the course of its evolution, humanity has experienced a number of pandemics. The list includes a number of historical occurrences, such as the measles, Ebola, SARS, and Middle East respiratory disease (MERS), among others. The most recent variation on this is coronavirus disease 2019, often known as COVID-19, which is brought on by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). As of August 18, 2020, COVID-19 had killed 0.7 million people worldwide and afflicted over 21 million people from over 180 nations. Genomic technologies have made it possible for us to comprehend the genetic make-up of pathogens as well as their virulence, evolution, and rate of mutation, among other things. More than 83,000 viral genomes have so far been stored in open databases like GISAID and NCBI. India is currently the third-most severely impacted nation by COVID-19, with 2.7 million cases and more than 53,000 fatalities. With a fatality rate of 3.48% compared to the national average of 1.91%, Gujarat ranks as the 11th most severely afflicted state. To understand the phylogenetic distribution and variations of the SARS-CoV-2 virus in comparison to international and domestic sequences, 502 SARS-CoV-2 genomes from Gujarat were sequenced and studied in this work. To better understand its function in pathophysiology, additional variations from sick and healthy patients from Gujarat and around the world were studied. The G25563T variant, which is found in Orf3a and may be involved in viral pathogenesis, was the other harmful mutation found in deceased patients from Gujarat (p-value of 0.355) and the rest of the globe (pvalue of 2.43E-06). The GH clade of GISAID is forming separate clusters with SARS-CoV-2 genomes from Gujarat. This investigation will provide information on the SARS-CoV-2 samples from Gujarat, India's viral haplotype.
