An Early Phase Phylogenetic Analysis of COVID-19 in Indian Scenario using Maximum Likelihood Tree Method
8 Pages Posted: 7 May 2020 Last revised: 9 Dec 2020
Date Written: April 27, 2020
Abstract
The epidemic outbreak of COVID-2019 disease during early weeks of December 2019 created large scale casualties among humans and became a Pandemic as declared by world health organisation. The disease caused by novel corona virus (nCoV19) from human to human transmission necessitate the study and analysis of the virus at genome level. Various queries as posed by experts to understand the behavior of the pathogen prompts to make phylogenetic analysis to compare sequences with synonymous and non-synonymous mutations. The Phylogeny tree analysis pipeline is computed by Maximum Likelihood Tree Method and inference by molecular evolutionary genetic analysis. The datasets used is provided by the Indian council for medical research and other regions through the database of GISAID. The snips of phylogeny analysis of data samples from Indian region interprets that no variation in the ‘N’ gene of the COVID-19 genome sequences.
Note: Funding: None.
Declaration of Interests: We declare no competing interests.
Keywords: Phylogeny, Next Generation Sequencing, Single Nucleotide Polymorphism, Novel corona Virus, severe acute respiratory infection, virus reservoir
JEL Classification: I1
Suggested Citation: Suggested Citation