Premium
Dynamic tracking of variant frequencies depicts the evolution of mutation sites amongst SARS‐CoV‐2 genomes from India
Author(s) -
Hudson B. Shenu,
Kolte Vaishnavi,
Khan Azra,
Sharma Gaurav
Publication year - 2021
Publication title -
journal of medical virology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.782
H-Index - 121
eISSN - 1096-9071
pISSN - 0146-6615
DOI - 10.1002/jmv.26756
Subject(s) - covid-19 , mutation , transmissibility (structural dynamics) , coronavirus , pandemic , transmission (telecommunications) , biology , genome , mutation rate , genetics , virology , evolutionary biology , computational biology , gene , disease , medicine , computer science , infectious disease (medical specialty) , outbreak , telecommunications , physics , pathology , vibration isolation , quantum mechanics , vibration
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.