Elsevier

Gene Reports

Volume 19, June 2020, 100682
Gene Reports

Genomic characterization of a novel SARS-CoV-2

https://doi.org/10.1016/j.genrep.2020.100682Get rights and content

Highlights

  • Genomic mutations identification of SARS-CoV-2 in COVID-19 patients

  • Genetic variations in recently sequenced SARS-CoV-2

  • Most common mutations are three in SARS-CoV-2

Abstract

A new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) associated with human to human transmission and extreme human sickness has been as of late announced from the city of Wuhan in China. Our objectives were to mutation analysis between recently reported genomes at various times and locations and to characterize the genomic structure of SARS-CoV-2 using bioinformatics programs. Information on the variation of viruses is of considerable medical and biological impacts on the prevention, diagnosis, and therapy of infectious diseases. To understand the genomic structure and variations of the SARS-CoV-2. The study analyzed 95 SARS-CoV-2 complete genome sequences available in GenBank, National MicrobiologyData Center (NMDC) and NGDC Genome Warehouse from December-2019 until 05 of April-2020. The genomic signature analysis demonstrates that a strong association between the time of sample collection, location of sample and accumulation of genetic diversity. We found 116 mutations, the three most common mutations were 8782C>T in ORF1ab gene, 28144T>C in ORF8 gene and 29095C>T in the N gene. The mutations might affect the severity and spread of the SARS-CoV-2. The finding heavily supports an intense requirement for additional prompt, inclusive investigations that combine genomic detail, epidemiological information and graph records of the clinical features of patients with COVID-19.

Keywords

SARS-CoV-2
Genomic characterization
Mutation
COVID-19

Abbreviations

SARS-CoV-2
severe acute respiratory syndrome coronavirus 2
COVID-19
Coronavirus disease 2019
NGDC
National Genomics Data Center
NMDC
National Microbiology Data Center
WHO
World Health Organization
EMBOSS
The European Molecular Biology Open Software Suite
BLAST
Basic Local Alignment Search Tool
UTR
Untranslated region
CDC
Centers of Disease Control and Prevention
MERS
Middle East Respiratory Syndrome
NCBI
National Center for Biotechnology Information
NSP
nonstructural protein
ORF
Open Reading Frame

Cited by (0)

View Abstract