SARS-CoV-2 hot-spot mutations are significantly enriched within inverted repeats and CpG island loci

Author:

Goswami Pratik12,Bartas Martin3,Lexa Matej4,Bohálová Natália15,Volná Adriana6,Červeň Jiří3,Červeňová Veronika7,Pečinka Petr3,Špunda Vladimír68,Fojta Miroslav1,Brázda Václav1

Affiliation:

1. Department of Biophysical Chemistry and Molecular Oncology, Institute of Biophysics of the Czech Academy of Sciences, Brno, Czech Republic

2. National Centre for Biomolecular Research, Faculty of Science, Masaryk University, Brno, Czech Republic

3. Department of Biology and Ecology, Faculty of Science, University of Ostrava, Ostrava, Czech Republic

4. Faculty of Informatics, Masaryk University, Brno, Czech Republic

5. Department of Experimental Biology, Faculty of Science, Masaryk University, Brno, Czech Republic

6. Department of Physics, Faculty of Science, University of Ostrava, Ostrava, Czech Republic

7. Department of Mathematics, Faculty of Science, University of Ostrava, Ostrava, Czech Republic

8. Global Change Research Institute of the Czech Academy of Sciences, Brno, Czech Republic

Abstract

Abstract SARS-CoV-2 is an intensively investigated virus from the order Nidovirales (Coronaviridae family) that causes COVID-19 disease in humans. Through enormous scientific effort, thousands of viral strains have been sequenced to date, thereby creating a strong background for deep bioinformatics studies of the SARS-CoV-2 genome. In this study, we inspected high-frequency mutations of SARS-CoV-2 and carried out systematic analyses of their overlay with inverted repeat (IR) loci and CpG islands. The main conclusion of our study is that SARS-CoV-2 hot-spot mutations are significantly enriched within both IRs and CpG island loci. This points to their role in genomic instability and may predict further mutational drive of the SARS-CoV-2 genome. Moreover, CpG islands are strongly enriched upstream from viral ORFs and thus could play important roles in transcription and the viral life cycle. We hypothesize that hypermethylation of these loci will decrease the transcription of viral ORFs and could therefore limit the progression of the disease.

Funder

Czech Science Foundation

SYMBIT

Publisher

Oxford University Press (OUP)

Subject

Molecular Biology,Information Systems

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