Whole-genome analysis and mutation pattern of SARS-CoV-2 during first and second wave outbreak in Gwangju, Republic of Korea

6Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

To investigate the specific genomic features and mutation pattern, whole and near-complete SARS-CoV-2 genome sequences were analyzed. Clinical samples were collected from 18 COVID-19–positive patients and subjected to nucleic acid purification. Cell culture was performed to extract various SARS-CoV-2 isolates. Whole-genome analysis was performed using next-generation sequencing, and phylogenetic analyses were conducted to determine genetic diversity of the various SARS-CoV-2 isolates. The next-generation sequencing data identified 8 protein-coding regions with 17 mutated proteins. We identified 51 missense point mutations and deletions in 5′ and 3′ untranslated regions. The phylogenetic analysis revealed that V and GH are the dominant clades of SARS-CoV-2 circulating in the Gwangju region of South Korea. Moreover, statistical analysis confirmed a significant difference between viral load (P < 0.001) and number of mutations (P < 0.0001) in 2 mutually exclusive SARS-CoV-2 clades which indicates frequent genomic alterations in SARS-CoV-2 in patients with high viral load. Our results provide an in-depth analysis of SARS-COV-2 whole genome which we believe, can shed light in the understanding of SARS-COV-2 pathogenesis and mutation pattern which can aid in the development of prevention methods as well as future research into the pathogenesis of SARS-CoV-2 and therapeutic development.

Cite

CITATION STYLE

APA

Chatterjee, S., Kim, C. M., Lee, Y. M., Seo, J. W., Kim, D. Y., Yun, N. R., & Kim, D. M. (2022). Whole-genome analysis and mutation pattern of SARS-CoV-2 during first and second wave outbreak in Gwangju, Republic of Korea. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-14989-y

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free