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Circulation and Evolution of SARS-CoV-2 in India: Let the Data Speak
Authors:Sanket Limaye  Sunitha M Kasibhatla  Mukund Ramtirthkar  Meenal Kinikar  Mohan M Kale  Urmila Kulkarni-Kale
Institution:1.Bioinformatics Centre, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India; (S.L.); (S.M.K.); (M.K.);2.HPC-Medical & Bioinformatics Applications Group, Centre for Development of Advanced Computing, Pune 411008, India;3.Department of Statistics, Savitribai Phule Pune University (Formerly University of Pune), Pune 411007, India; (M.R.); (M.M.K.)
Abstract:The COVID-19 pandemic is a global challenge that impacted 200+ countries. India ranks in the second and third positions in terms of number of reported cases and deaths. Being a populous country with densely packed cities, SARS-CoV-2 spread exponentially. India sequenced ≈0.14% isolates from confirmed cases for pandemic surveillance and contributed ≈1.58% of complete genomes sequenced globally. This study was designed to map the circulating lineage diversity and to understand the evolution of SARS-CoV-2 in India using comparative genomics and population genetics approaches. Despite varied sequencing coverage across Indian States and Union Territories, isolates belonging to variants of concern (VoC) and variants of interest (VoI) circulated, persisted, and diversified during the first seventeen months of the pandemic. Delta and Kappa lineages emerged in India and spread globally. The phylogenetic tree shows lineage-wise monophyletic clusters of VoCs/VoIs and diversified tree topologies for non-VoC/VoI lineages designated as ‘Others’ in this study. Evolutionary dynamics analyses substantiate a lack of spatio-temporal clustering, which is indicative of multiple global and local introductions. Sites under positive selection and significant variations in spike protein corroborate with the constellation of mutations to be monitored for VoC/VoI as well as substitutions that are characteristic of functions with implications in virus–host interactions, differential glycosylation, immune evasion, and escape from neutralization.
Keywords:COVID-19  SARS-CoV-2  lineage diversity  evolutionary dynamics  virus bioinformatics  India  variant of concern  variant of interest  spike  phylogeny
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