SARS-CoV-2_Geo_India

Published: 30 September 2021| Version 1 | DOI: 10.17632/4trds63wcj.1
Contributor:
Vishal Negi

Description

In this study, we analyzed the mutation and selection landscape of 516 unique and complete genomes of SARS-CoV-2 isolates from India in a 12-month span (from Jan-Dec 2020) to understand how the virus is evolving in this geographical region. We identified 953 genome-wide loci displaying single nucleotide polymorphism (SNP) and the Principal Component Analysis and mutation plots of the datasets indicate an increase in genetic variance with time. The 42% of the polymorphic sites display substitutions in the third nucleotide position of codons indicating that non-synonymous substitutions are more prevalent. These isolates displayed strong evidence of purifying selection in ORF1ab, spike, nucleocapsid, and membrane glycoprotein.

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Steps to reproduce

To reproduce the data use the scripts given in the git hub link https://github.com/vishalsnegi/SARS-CoV-2_Geo_India

Categories

Evolutionary Biology, Bioinformatics, Severe Acute Respiratory Syndrome Coronavirus 2

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