Most cited article - PubMed ID 32646049
Mutation Patterns of Human SARS-CoV-2 and Bat RaTG13 Coronavirus Genomes Are Strongly Biased Towards C>U Transitions, Indicating Rapid Evolution in Their Hosts
Hepatitis B virus (HBV) is one of the most dangerous human pathogenic viruses found in all corners of the world. Recent sequencing of ancient HBV viruses revealed that these viruses have accompanied humanity for several millenia. As G-quadruplexes are considered to be potential therapeutic targets in virology, we examined G-quadruplex-forming sequences (PQS) in modern and ancient HBV genomes. Our analyses showed the presence of PQS in all 232 tested HBV genomes, with a total number of 1258 motifs and an average frequency of 1.69 PQS per kbp. Notably, the PQS with the highest G4Hunter score in the reference genome is the most highly conserved. Interestingly, the density of PQS motifs is lower in ancient HBV genomes than in their modern counterparts (1.5 and 1.9/kb, respectively). This modern frequency of 1.90 is very close to the PQS frequency of the human genome (1.93) using identical parameters. This indicates that the PQS content in HBV increased over time to become closer to the PQS frequency in the human genome. No statistically significant differences were found between PQS densities in HBV lineages found in different continents. These results, which constitute the first paleogenomics analysis of G4 propensity, are in agreement with our hypothesis that, for viruses causing chronic infections, their PQS frequencies tend to converge evolutionarily with those of their hosts, as a kind of 'genetic camouflage' to both hijack host cell transcriptional regulatory systems and to avoid recognition as foreign material.
- MeSH
- Biological Evolution MeSH
- G-Quadruplexes * MeSH
- Genome, Human MeSH
- Genomics MeSH
- Humans MeSH
- Paleontology MeSH
- Hepatitis B virus * genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
In a recently published paper, we have found that SARS-CoV-2 hot-spot mutations are significantly associated with inverted repeat loci and CG dinucleotides. However, fast-spreading strains with new mutations (so-called mink farm mutations, England mutations and Japan mutations) have been recently described. We used the new datasets to check the positioning of mutation sites in genomes of the new SARS-CoV-2 strains. Using an open-access Palindrome analyzer tool, we found mutations in these new strains to be significantly enriched in inverted repeat loci.
- Keywords
- SARS-CoV-2, inverted repeats, mutations,
- MeSH
- COVID-19 virology MeSH
- Genome, Viral MeSH
- Humans MeSH
- Mutation * MeSH
- SARS-CoV-2 genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Letter MeSH
- Research Support, Non-U.S. Gov't MeSH
The continued sustained threat of the SARS-CoV-2 virus world-wide, urgently calls for far-reaching effective therapeutic strategies for treating this emerging infection. Accordingly, this study explores mode of action and therapeutic potential of existing antiviral drugs. Multiple sequence alignment and phylogenetic analyses indicate that the RNA-dependent RNA polymerase (RdRp) of SARS-CoV-2 was mutable and similar to bat coronavirus RaTG13. Successive interactions between RdRp (nsp12 alone or in complex with cofactors nsp7-8) and viral RNA demonstrated that the binding affinity values remained the same, but the sites of interaction of RdRp (highly conserved for homologous sequences from different organisms) were altered in the presence of selected antiviral drugs such as Remdesivir, and Sofosbuvir. The antiviral drug Sofosbuvir reduced the number of hydrogen bonds formed between RdRp and RNA. Remdesivir bound more tightly to viral RNA than viral RdRp alone or the nsp12-7-8 hexadecameric complex, resulting in a significant number of hydrogen bonds being formed in the uracil-rich region. The interaction between nsp12-7-8 complex and RNA was mediated by specific interaction sites of nsp7-8. Therefore, the conserved nature of RdRp interaction sites, and alterations due to drug intervention indicate the therapeutic potential of the selected drugs. In this article, we provide additional focus on the interacting amino acids of the nsp7-8 complex and highlight crucial regions that could be targeted for precluding a correct recognition of subunits involved in the hexadecameric assembly, to rationally design molecules endowed with a significant antiviral profile.
- Keywords
- Computational biology, Molecular modelling, RdRp, Remdesivir, SARS-CoV-2, Sofosbuvir,
- MeSH
- Antiviral Agents pharmacology MeSH
- COVID-19 * MeSH
- Phylogeny MeSH
- Humans MeSH
- Computer Simulation MeSH
- RNA-Dependent RNA Polymerase * MeSH
- SARS-CoV-2 MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Names of Substances
- Antiviral Agents MeSH
- RNA-Dependent RNA Polymerase * MeSH
The genomic diversity of SARS-CoV-2 has been a focus during the ongoing COVID-19 pandemic. Here, we analyzed the distribution and character of emerging mutations in a data set comprising more than 95,000 virus genomes covering eight major SARS-CoV-2 lineages in the GISAID database, including genotypes arising during COVID-19 therapy. Globally, the C>U transitions and G>U transversions were the most represented mutations, accounting for the majority of single-nucleotide variations. Mutational spectra were not influenced by the time the virus had been circulating in its host or medical treatment. At the amino acid level, we observed about a 2-fold excess of substitutions in favor of hydrophobic amino acids over the reverse. However, most mutations constituting variants of interests of the S-protein (spike) lead to hydrophilic amino acids, counteracting the global trend. The C>U and G>U substitutions altered codons towards increased amino acid hydrophobicity values in more than 80% of cases. The bias is explained by the existing differences in the codon composition for amino acids bearing contrasting biochemical properties. Mutation asymmetries apparently influence the biochemical features of SARS CoV-2 proteins, which may impact protein-protein interactions, fusion of viral and cellular membranes, and virion assembly.
- Keywords
- SARS-CoV-2, amino acid hydrophobicity, apolipoprotein B mRNA editing enzyme (APOBEC), coronavirus, evolution, genetic variation, mutability,
- MeSH
- Alleles MeSH
- Amino Acids chemistry genetics MeSH
- COVID-19 virology MeSH
- APOBEC Deaminases MeSH
- Phylogeny MeSH
- Genetic Variation MeSH
- Genome, Viral * MeSH
- Genotype MeSH
- Spike Glycoprotein, Coronavirus chemistry genetics MeSH
- Hydrophobic and Hydrophilic Interactions * MeSH
- Host-Pathogen Interactions MeSH
- Protein Interaction Domains and Motifs MeSH
- Polymorphism, Single Nucleotide MeSH
- Humans MeSH
- Evolution, Molecular MeSH
- Mutation * MeSH
- SARS-CoV-2 genetics MeSH
- Amino Acid Substitution MeSH
- Protein Binding MeSH
- Viral Proteins chemistry genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Names of Substances
- Amino Acids MeSH
- APOBEC Deaminases MeSH
- Spike Glycoprotein, Coronavirus MeSH
- Viral Proteins MeSH
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.
- Keywords
- CpG methylation, SARS-CoV-2, hot spot, inverted repeats,
- MeSH
- COVID-19 virology MeSH
- CpG Islands * MeSH
- Genome, Viral MeSH
- Humans MeSH
- DNA Methylation MeSH
- Mutation * MeSH
- SARS-CoV-2 genetics MeSH
- Protein Binding MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH