| Autor: |
Darshan Sreenivas, Vinay Kumar, Kandasamy Kathirvel, Rakesh Netha Vadnala, Sachin Mishra, Bhagyashree Shelar, Srilatha Marate, Lakshminarayanan CP, Sai Disha K, Manisha Bhardwaj, Awadhesh Pandit, Satyajit Mayor, Uma Ramakrishnan, Dimple Notani |
| Rok vydání: |
2023 |
| DOI: |
10.1101/2023.03.14.532352 |
| Popis: |
Genomic surveillance in response to coronavirus disease (COVID-19) pandemic is crucial for tracking spread, identify variants of concern (VoCs) and understand the evolution of its etiological agent, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). India has experienced three waves of COVID-19 cases, which includes a deadly wave of COVID-19 that was driven by the Delta lineages (second/Delta wave) followed by another wave driven by the Omicron lineages (third/Omicron wave). These waves were particularly dramatic in the metropolitan cities due to high population density. We evaluated the prevalence, and mutational spectrum of SARS-CoV-2 variants/lineages in one such megapolis, Bengaluru city, across these three waves between October 2020 and June 2022. 15,134 SARS-CoV-2 samples were subjected to whole genome sequencing (WGS). Phylogenetic analysis revealed, SARS-CoV-2 variants in Bengaluru city belonged to 18 clades and 196 distinct lineages. As expected, the Delta lineages were the most dominant lineages during the second wave of COVID-19. The Omicron lineage BA.2 and its sublineages accounted for most of the COVID-19 cases in the third wave. Most number of amino acid changes were observed in spike protein. Among the 18 clades, majority of the mutations and least similarity at nucleotide sequence level with the reference genome were observed in Omicron clades. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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