Dynamic tracking of variant frequencies depicts the evolution of mutation sites amongst SARS‐CoV‐2 genomes from India

With the exponential spread of the coronavirus disease 2019 (COVID‐19) pandemic across the world within the 12 months, severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) strains are continuously trying to adapt themselves to the host environment by random mutations. When doing so, some var...

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Published inJournal of Medical Virology Vol. 93; no. 4; pp. 2534 - 2537
Main Authors Hudson B., Shenu, Kolte, Vaishnavi, Khan, Azra, Sharma, Gaurav
Format Journal Article Web Resource
LanguageEnglish
Published United States John Wiley & Sons, Inc 01.04.2021
Wiley Subscription Services, Inc
Subjects
bioinformatics
Coronaviridae
coronavirus
Coronaviruses
COVID-19
COVID-19 - epidemiology
COVID-19 - virology
Disease transmission
Epidemiology
Evolution
Evolution, Molecular
Genetic Variation
Genome, Viral
Genomes
genomics
Humans
India - epidemiology
Mutation
Pandemics
SARS
SARS-CoV-2 - genetics
Severe acute respiratory syndrome
Severe acute respiratory syndrome coronavirus 2
Viral diseases
Virology
India
COVID-19
epidemiology
SARS
coronavirus
genomics
bioinformatics
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Summary:With the exponential spread of the coronavirus disease 2019 (COVID‐19) pandemic across the world within the 12 months, severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) strains are continuously trying to adapt themselves to the host environment by random mutations. When doing so, some variants with evolutionary advantages such as better human to human transmissibility potential might get naturally selected. This short communication demonstrates how the mutation frequency patterns are evolving in 2457 SAR‐CoV‐2 strains isolated from COVID‐19 patients across diverse Indian states. We have identified 19 such variants showing contrasting mutational probabilities in the span of 7 months. Out of these, 14 variants are showing increasing mutational probabilities suggesting their propagation with time due to their unexplored evolutionary advantages. However, the mutational probabilities of five variants have significantly decreased in June onward as compared to March/April, suggesting their termination with time. Further in‐depth investigation of these identified variants will provide valuable knowledge about the evolution, infection strategies, transmission rates, and epidemiology of SARS‐CoV‐2.
Bibliography:Shenu Hudson B. and Vaishnavi Kolte are equal author.
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ISSN:0146-6615
1096-9071
DOI:10.1002/jmv.26756