A computational analysis of molecular evolution for virulence genes of zoonotic novel coronavirus (COVID-19). (August 2021)

• Record Type: Journal Article
• Authors: Kumari, Priya; Poddar, Raju
• Is Part Of: Computational biology and chemistry. Volume 93(2021)
• Publication Date: 2021-08
• Subjects: Zoonotic -- COVID-19 -- Adaptive molecular evolution -- Hemagglutinin -- RdRP -- Positive selection -- Markov model -- Likelihood ratio test; Chemistry -- Data processing -- Periodicals; Biology -- Data processing -- Periodicals; Biochemistry -- Data processing; Biology -- Data processing; Molecular biology -- Data processing; Periodicals; Electronic journals; 542.85
• DOI: 10.1016/j.compbiolchem.2021.107532
• Languages: English
• ISSNs: 1476-9271

Abstract

Graphical abstract: Highlights: Molecular evolution of selected virulence genes (HA, N, RdRP and S) of novel COVID-19 were reported. Conserved motif of different virulence genes and evolutionary relationship among them were analyzed. The analysis revealed that RdRP gene had the fastest rate evolution followed by HA, PB2 and NS gene. This investigation on genes can be extended for analysis of host radiation and molecular adaptation of the virus. Abstract: Zoonotic Novel coronavirus disease 2019 (COVID-19) is highly pathogenic and transmissible considered as emerging pandemic disease. The virus belongs from a large virus Coronaviridae family affect respiratory tract of animal and human likely originated from bat and homology to SARA-CoV and MERS-CoV. The virus consists of single-stranded positive genomic RNA coated by nucleocapsid protein. The rate of mutation in any virulence gene may influence the phenomenon of host radiation. We have studied the molecular evolution of selected virulence genes (HA, N, RdRP and S) of novel COVID-19. We used a site-specific comparison of synonymous (silent) and non-synonymous (amino acid altering) nucleotide substitutions. Maximum Likelihood genealogies based on differential gamma distribution rates were used for the analysis of null and alternate hypothesis. The null hypothesis was found more suitable for the analysis using Likelihood Ratio Test (LRT) method, confirming higher rate of substitution. The analysis revealed that RdRP gene had the fastest rate evolution followed by HA gene. We have also reported the new motifs for different virulence genes, which are further useful to design new detection and diagnosis kit for COVID -19.