Coronaviruses (CoV) have been responsible for three epidemics in the 21st century, including Severe Acute Respiratory Syndrome (SARS) in 2003. Corona virus is a single strand ribonucleic acid which is genotypically and phenotypically diverse.
The phylogenetic tree and Entropy plot are used to show the strain variation with root difference or Boot strip changes among various nucleotide plots with mutational changes (19).
Therefore, we would like to explain evolutionary changes in other countries compared to India and in different states of India. To evaluate the strain variation with their mutation and adaptation of the environment with the virus or may be due to several passages occurring over a period of time.
For phylogenetic tree analysis, we have selected 8-8 isolates from each state, Assam, Chhattisgarh, Delhi, Gujarat, Haryana, Himachal Pradesh, Karnataka, Kerala, Orissa, Maharashtra, Punjab, Telangana, Uttar Pradesh and West Bengal. Total 74 isolates were selected from given states for making of phylogenetic tree and mutational study. There were many point mutations found.
According to our study, we found a several point mutation occurred among the sequence submitted in gene bank database that is same as China which has been reported. This study was conducted to systematic analysis on the genomic data of NCBI. This work is also significant in terms of mutational research. Evolutionary changes and approach a new strain through the mutational study done by BioEdit and MEGA 6.0 software. The bioinformatics and the statistical genetic analysis may contribute for study of COVID-19 as other infection and complex disease. This study is used understand the host–pathogen interaction and to contain the COVID-19 outbreak.
This study highlighted the evolutionary changes occurred in the COVID-19 disease severity variation in strain for the prevention and mutation. We reported the genetic study of COVID-19 disease with their association in already submitted strain of database for the study of their genetic variation as well as disease progression.