Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)

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Comparative Analysis of SARS-CoV-2 Variants Across Three Waves in India

Authors
Kushagra Agarwal1, Nita Parekh1, *
1Center for Computational Natural Sciences and Bioinformatics, International Institute of Information Technology, Hyderabad, Telangana, 500032, India
*Corresponding author. Email: nita@iiit.ac.in
Corresponding Author
Nita Parekh
Available Online 5 June 2023.
DOI
10.2991/978-94-6463-164-7_9How to use a DOI?
Keywords
SARS-CoV-2; Mutations; India
Abstract

In this study we carried out a comprehensive analysis of SARS-CoV-2 mutations and their spread in India over the past two years of the pandemic (27th Jan’ 2020 – 8th Mar’ 2022). The analysis covers four important timelines, viz., the early phase, followed by the first, second and third waves of the pandemic in the country. Phylogenetic analysis of the isolates indicated multiple independent entries of coronavirus in the country, while principal component analysis identified few state-specific clusters. Genetic analysis of isolates during the first year revealed that though lockdown helped in controlling the spread of the virus, region-specific set of shared mutations were developed during the early phase due to local community transmissions. We thus report the evolution of state-specific subclades, namely, I/GJ-20A (Gujarat), I/MH-2 (Maharashtra), I/Tel-A-20B, I/Tel-B-20B (Telangana), and I/AP-20A (Andhra Pradesh) that explain the demographic variation in the impact of COVID-19 across states. In the second year of the pandemic, India faced an aggressive second wave while the third wave was quite mild in terms of severity. Here we also discuss the prevalence and impact of different lineages and Variants of Concerns/Interests, viz., Delta, Kappa, Omicron, etc. observed during this period. From the genetic analysis of mutation spectra of Indian isolates, the insights gained in its transmission, geographic distribution, containment, and impact are discussed.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)
Series
Advances in Health Sciences Research
Publication Date
5 June 2023
ISBN
10.2991/978-94-6463-164-7_9
ISSN
2468-5739
DOI
10.2991/978-94-6463-164-7_9How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Kushagra Agarwal
AU  - Nita Parekh
PY  - 2023
DA  - 2023/06/05
TI  - Comparative Analysis of SARS-CoV-2 Variants Across Three Waves in India
BT  - Proceedings of the Joint 3rd International Conference on Bioinformatics and Data Science (ICBDS 2022)
PB  - Atlantis Press
SP  - 104
EP  - 118
SN  - 2468-5739
UR  - https://doi.org/10.2991/978-94-6463-164-7_9
DO  - 10.2991/978-94-6463-164-7_9
ID  - Agarwal2023
ER  -