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Properties and Mechanisms of Deletions, Insertions, and Substitutions in the Evolutionary History of SARS-CoV-2
IB. Rogozin, A. Saura, E. Poliakov, A. Bykova, A. Roche-Lima, YI. Pavlov, V. Yurchenko
Language English Country Switzerland
Document type Journal Article, Review
Grant support
R25 GM061838
NIGMS NIH HHS - United States
U54 MD007600
NIMHD NIH HHS - United States
2 U54 MD007600-31
NIH HHS - United States
NLK
Free Medical Journals
from 2000
Freely Accessible Science Journals
from 2000
PubMed Central
from 2007
Europe PubMed Central
from 2007
ProQuest Central
from 2000-03-01
Open Access Digital Library
from 2000-01-01
Open Access Digital Library
from 2007-01-01
Health & Medicine (ProQuest)
from 2000-03-01
ROAD: Directory of Open Access Scholarly Resources
from 2000
PubMed
38612505
DOI
10.3390/ijms25073696
Knihovny.cz E-resources
- MeSH
- COVID-19 * genetics MeSH
- Humans MeSH
- Mutation MeSH
- Mutagenesis MeSH
- Nucleotides MeSH
- SARS-CoV-2 genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
SARS-CoV-2 has accumulated many mutations since its emergence in late 2019. Nucleotide substitutions leading to amino acid replacements constitute the primary material for natural selection. Insertions, deletions, and substitutions appear to be critical for coronavirus's macro- and microevolution. Understanding the molecular mechanisms of mutations in the mutational hotspots (positions, loci with recurrent mutations, and nucleotide context) is important for disentangling roles of mutagenesis and selection. In the SARS-CoV-2 genome, deletions and insertions are frequently associated with repetitive sequences, whereas C>U substitutions are often surrounded by nucleotides resembling the APOBEC mutable motifs. We describe various approaches to mutation spectra analyses, including the context features of RNAs that are likely to be involved in the generation of recurrent mutations. We also discuss the interplay between mutations and natural selection as a complex evolutionary trend. The substantial variability and complexity of pipelines for the reconstruction of mutations and the huge number of genomic sequences are major problems for the analyses of mutations in the SARS-CoV-2 genome. As a solution, we advocate for the development of a centralized database of predicted mutations, which needs to be updated on a regular basis.
Life Science Research Centre Faculty of Science University of Ostrava 710 00 Ostrava Czech Republic
National Eye Institute National Institutes of Health Bethesda MD 20892 USA
References provided by Crossref.org
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