Search

Background: Since 2019, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has diversified extensively, producing five highly virulent lineages designated as variants of concern (VOCs). The Delta VOC emerged in India with increased transmission, immune evasion, and mortality, causing a massive global case surge in 2021. This study aims to understand how the Delta VOC evolved by characterizing mutation patterns in the viral population before and after its emergence. Furthermore, we aim to identify the influence of positive and negative selection on VOC evolution and understand the prevalence of different mutation types in the viral genome. Methods: Three groups of whole viral genomes were retrieved from GISAID, sourced from India, with collection periods as follows: Group A—during the initial appearance of SARS-CoV-2; Group B—just before the emergence of the Delta variant; Group C—after the establishment of the Delta variant in India. Mutations in >1% of each group were identified with BioEdit to reveal differences in mutation quantity and type. Sites under positive or negative selection were identified with FUBAR. The results were compared to determine how mutations correspond with selective pressures and how viral mutation profiles changed to reflect genetic diversity before and after VOC emergence. Results: The number of mutations increased progressively in Groups A–C, with Group C reporting a 2.2- and 1.9-fold increase from Groups A and B, respectively. Among all the observed mutations, Group C had the highest percentage of deletions (22.7%; vs. 4.2% and 2.6% in Groups A and B, respectively), and most mutations altered the final amino acid code, such as non-synonymous substitutions and deletions. Conversely, Group B had the most synonymous substitutions that are effectively silent. The number of sites experiencing positive selection increased in Groups A–C, but Group B had 2.4- and 2.6 times more sites under negative selection compared to Groups A and C, respectively. Conclusion: Our findings demonstrated that viral genetic diversity continuously increased during and after the emergence of the Delta VOC. Despite this, Group B reports heightened negative selection, which potentially preserves important gene regions during evolution. Group C contains an unprecedented quantity of mutations and positively selected sites, providing strong evidence of active viral adaptation in the population. [ABSTRACT FROM AUTHOR]

India is no different to global health havoc created by SARS-COV-2 outbreak, although the appearance of different waves and the magnitude of losses varied. The study of the first wave on timeline is of utmost importance due to the alarming emergency and lack of preparedness to deal with the new virus which entered the gene pool. Besides, population density and RNA virus mutation rate might have led to more strain variants. In the present study, comparative analysis of thirty-nine complete or nearly-complete genomes of SARS-COV-2 during the first wave of COVID-19 in India was made and a number of mutations were observed. These observations further supported the evidence for genetic basis of rapid evolution of the virus. [ABSTRACT FROM AUTHOR]

The emergence of novel variants of SARS-CoV-2 in several countries has been associated with increased transmissibility or reduced neutralization potential of antibodies against the Wuhan virus (wild type). From August 2021 onwards, India experienced a progressive decline in the number of active SARS-CoV-2 infections, indicative of a downward trend in the explosive second wave. This prospective study was conducted quarterly for one year (May 2020 to June 2021) at a tertiary care hospital in the city of Pune in western India. Receptor-binding domain (RBD, n = 319) and full genome (n = 20) sequences from viral-RNA-positive nasopharyngeal swabs of COVID-19 patients representing the first and second waves were used for analysis. No Brazilian, South African, or California variants were detected in this study. Until December 2020, only the wild-type strain was prevalent. Concurrent with the upsurge of the second wave in March 2021, 73% (33/45) of RBD sequences harboured L452R/E484Q mutations characteristic of the Kappa variant. In April 2021, co-circulation of Kappa (37%) and Delta (L452R/T478K, 59%) variants was recorded. During May and June 2021, the Delta variant became the predominant circulating variant, and this coincided with a significant decline in the number of COVID-19 cases. Of the 20 full genome sequences, six isolates each exhibited signature mutations of the Kappa and Delta variant. With several states witnessing a reduction in the number of COVID-19 cases, continuous monitoring of newer mutations and assessment of their effect on virus transmissibility and their impact on vaccinated or previously exposed individuals is necessary. [ABSTRACT FROM AUTHOR]

The massive increase in COVID-19 infection had generated a second wave in India during May–June 2021 with a critical pandemic situation. The Delta variant (B.1.617.2) was a significant factor during the second wave. Conversely, the UK had passed through the crucial phase of the pandemic from November to December 2020 due to B.1.1.7. The study tried to comprehend the pandemic response in the UK and India to the spread of the B.1.1.7 (Alpha, UK) variant and B.1.617.2 (Delta, India) variant. This study was performed in three directions to understand the pandemic response of the two emerging variants. First, we served comparative genomics, such as genome sequence submission patterns, mutational landscapes, and structural landscapes of significant mutations (N501Y, D614G, L452R, E484Q, and P681R). Second, we performed evolutionary epidemiology using molecular phylogenetics, scatter plots of the cluster evaluation, country-wise transmission pattern, and frequency pattern. Third, the receptor binding pattern was analyzed using the Wuhan reference strain and the other two variants. The study analyzed the country-wise and region-wise genome sequences and their submission pattern, molecular phylogenetics, scatter plot of the cluster evaluation, country-wise geographical distribution and transmission pattern, frequency pattern, entropy diversity, and mutational landscape of the two variants. The structural pattern was analyzed in the N501Y, D614G L452R, E484Q, and P681R mutations. The study found increased molecular interactivity between hACE2-RBD binding of B.1.1.7 and B.1.617.2 compared to the Wuhan reference strain. Our receptor binding analysis showed a similar indication pattern for hACE2-RBD of these two variants. However, B.1.617.2 offers slightly better stability in the hACE2-RBD binding pattern through MD simulation than B.1.1.7. The increased hACE2-RBD binding pattern of B.1.1.7 and B.1.617.2 might help to increase the infectivity compared to the Wuhan reference strain. [Display omitted] • Comparative genomics of two emerging SARS-CoV-2 variants (B.1.1.7 and B. 1.617.2). • Evolutionary epidemiology, geographical distribution and country-wise transmission patterns of study of Alpha.1.1.7 and Delta. 1.617.2. • Landscape of significant mutations such as L452R, E484Q, N501Y, D614G and P681R. • RBD-hACE2 receptor binding pattern analysis in B.1.1.7 and B. 1.617.2 compare to Wuhan reference strain. [ABSTRACT FROM AUTHOR]