» Articles » PMID: 35578378

Genomics of Postvaccination SARS-CoV-2 Infections During the Delta Dominated Second Wave of COVID-19 Pandemic, from Mumbai Metropolitan Region (MMR), India

Abstract

The present study was initiated to understand the proportion of predominant variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in postvaccination infections during the Delta dominated second wave of coronavirus disease 2019 (COVID-19) in the Mumbai Metropolitan Region (MMR) in India and to understand any mutations selected in the postvaccination infections or showing association with any patient demographics. Samples were collected (n = 166) from severe/moderate/mild COVID-19 patients who were either vaccinated (COVISHIELD/COVAXIN-partial/fully vaccinated) or unvaccinated, from a city hospital and from home isolation patients in MMR. A total of 150 viral genomes were sequenced by Oxford Nanopore sequencing and the data of 136 viral genomes were analyzed for clade/lineage and for identifying mutations. The sequences belonged to three clades (21A, 21I, and 21J) and their lineage was identified as either Delta (B.1.617.2) or Delta+ (B.1.617.2 + K417N) or sub-lineages of Delta variant (AY.120/AY.38/AY.99). A total of 620 mutations were identified of which 10 mutations showed an increase in trend with time (May-October 2021). Associations of six mutations (two in spike, three in orf1a, and one in nucleocapsid) were shown with milder forms of the disease and one mutation (in orf1a) with partial vaccination status. The results indicate a trend toward reduction in disease severity as the wave progressed.

Citing Articles

Unlocking the puzzle: non-defining mutations in SARS-CoV-2 proteome may affect vaccine effectiveness.

Ulzurrun E, Grande-Perez A, Hoyo D, Guevara C, Gil C, Oscar Sorzano C Front Public Health. 2024; 12:1386596.

PMID: 39228849 PMC: 11369981. DOI: 10.3389/fpubh.2024.1386596.


Nanopore sequencing technology and its applications.

Zheng P, Zhou C, Ding Y, Liu B, Lu L, Zhu F MedComm (2020). 2023; 4(4):e316.

PMID: 37441463 PMC: 10333861. DOI: 10.1002/mco2.316.


Temporal dynamics and fatality of SARS-CoV-2 variants in Bangladesh.

Rahman M, Hoque M, Chowdhury S, Siddique M, Islam O, Galib S Health Sci Rep. 2023; 6(4):e1209.

PMID: 37077184 PMC: 10108430. DOI: 10.1002/hsr2.1209.


Sequence analysis of SARS-CoV-2 Delta variant isolated from Makassar, South Sulawesi, Indonesia.

Massi M, Sjahril R, Halik H, Soraya G, Hidayah N, Pratama M Heliyon. 2023; 9(2):e13382.

PMID: 36744069 PMC: 9886429. DOI: 10.1016/j.heliyon.2023.e13382.


Genomics of postvaccination SARS-CoV-2 infections during the Delta dominated second wave of COVID-19 pandemic, from Mumbai Metropolitan Region (MMR), India.

Nilgiriwala K, Kadam P, Patel G, Shaikh A, Mestry T, Vaswani S J Med Virol. 2022; 94(9):4206-4215.

PMID: 35578378 PMC: 9348366. DOI: 10.1002/jmv.27861.

References
1.
Gupta N, Kaur H, Yadav P, Mukhopadhyay L, Sahay R, Kumar A . Clinical Characterization and Genomic Analysis of Samples from COVID-19 Breakthrough Infections during the Second Wave among the Various States of India. Viruses. 2021; 13(9). PMC: 8472862. DOI: 10.3390/v13091782. View

2.
Sharma K, Koirala A, Nicolopoulos K, Chiu C, Wood N, Britton P . Vaccines for COVID-19: Where do we stand in 2021?. Paediatr Respir Rev. 2021; 39:22-31. PMC: 8274273. DOI: 10.1016/j.prrv.2021.07.001. View

3.
Micheli V, Bracchitta F, Rizzo A, Mancon A, Mileto D, Lombardi A . First Identification of the New Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant (B.1.1.529) in Italy. Clin Infect Dis. 2022; 75(3):522-524. PMC: 8807288. DOI: 10.1093/cid/ciab1044. View

4.
Katoh K, Standley D . MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013; 30(4):772-80. PMC: 3603318. DOI: 10.1093/molbev/mst010. View

5.
Andersen K, Rambaut A, Lipkin W, Holmes E, Garry R . The proximal origin of SARS-CoV-2. Nat Med. 2020; 26(4):450-452. PMC: 7095063. DOI: 10.1038/s41591-020-0820-9. View