RT Journal Article SR Electronic T1 Evolving Insights from SARS-CoV-2 Genome from 200K COVID-19 Patients JF bioRxiv FD Cold Spring Harbor Laboratory SP 2021.01.21.427574 DO 10.1101/2021.01.21.427574 A1 Sanket Desai A1 Aishwarya Rane A1 Asim Joshi A1 Amit Dutt YR 2021 UL http://biorxiv.org/content/early/2021/01/21/2021.01.21.427574.abstract AB We present an updated version of our automated computational pipeline, Infection Pathogen Detector IPD 2.0 with a SARS-CoV-2 module, to perform genomic analysis to understand the pathogenesis and virulence of the virus. Analysing the currently available 208911 SARS-CoV2 genome sequences (as accessed on 28 Dec 2020), we generate an extensive database of sample- wise variants and clade annotation, which forms the core of the SARS-CoV-2 analysis module of the analysis pipeline. A comparative account of lineage-specific mutations in the newer SARS-CoV-2 strains emerging in the UK, South Africa and Brazil along with data reported from India identify overlapping and lineages specific acquired mutations suggesting a repetitive convergent and adaptive evolution. Thus, the persistence of pandemic may lead to the emergence of newer regional strains with improved fitness. IPD 2.0 also adopts the recent dynamic clade nomenclature and shows improvement in accuracy of clade assignment, processing time and portability, to its predecessor and thus could be a vital tool to help facilitate genomic surveillance in a population to identify variants involved in breakthrough infections.Competing Interest StatementThe authors have declared no competing interest.