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Biology subjects

Timonina, V.

Publications and source records attributed to Timonina, V..

3 recordsLinked to original sources

Mutational bias shapes protein evolution across RNA viruses

Mutational biases can influence genome composition, but their contribution to protein evolution remains difficult to quantify. Here we utilize a nearly neutral framework that translates nucleotide mutational spectra into expected amino acid substitution patterns and equilibrium amino acid compositions. Using SARS-CoV-2 as a model system, we show that the viral mutational spectrum explains more than 50% of the variation in observed single-nucleotide amino acid substitutions and predicts the overall direction of proteome-wide amino acid composition change during the COVID-19 pandemic. The predictive power of the model varies with selection regime: effectively neutral and weakly deleterious substitutions conform most closely to the mutational expectation, whereas strongly constrained sites and mutational hotspots show larger deviations. This indicates that departures from the nearly neutral baseline provide a quantitative proxy for purifying and positive selection. Extending the analysis across 34 RNA virus species, we find that positive-sense, negative-sense and double-stranded RNA viruses differ systematically in their mutational spectra, and that these differences are associated with predictable shifts in proteome composition. The same relationship is detectable in RNA-dependent RNA polymerase sequences from more than 77,000 viral species. These results indicate that taxon-specific mutational bias contributes persistently to protein evolution across evolutionary scales.

bioinformatics↗

Mitochondrial direct repeat reduction as a strategy for enhancing human longevity: the case of the common repeat

Aging, characterized by a series of functional declines correlated with advancing chronological age, has a significant mitochondrial DNA (mtDNA) component, with somatic mtDNA deletions playing a central role. In post-mitotic or slow-dividing cells like neurons and skeletal muscles, selfish mtDNA deletions clonally expand within a cell, ultimately leading to the deterioration and death of host cells and appearence of age-related phenotypes. Thus reducing the burden of somatic deletions could have far- reaching systemic benefits for the entire human body. Given the crucial role of direct nucleotide repeats in the formation of mitochondrial deletions, we hypothesize that minimizing these repeats in the human mitochondrial genome could enhance healthspan by decreasing somatic deletions. To investigate this hypothesis, we focus on the "common repeat", a 13-base pair perfect direct repeat sequence (ACCTCCCTCACCA) located at positions 8470-8482 and 13447-13459, respectively. This perfect repeat: (i) is highly prevalent, with its potential deleterious consequences affecting the majority of humans; (ii) represents one of the most fragile sites, highly prone to forming deletions; (iii) when disrupted, is associated with a decreased somatic deletion load and enhanced human healthspan; (iv) is likely to experience positive selection in the present or near future due to indirect fitness effects, such as the "grandmother effect", and direct fitness effects, such as (v) a decreased mutation rate. These observations support the argument that reducing the mtDNA somatic deletion load through targeted disruption of these repeats, or by using naturally occurring polymorphisms with disrupted repeats in mitochondrial medicine, could be an effective approach to increasing human longevity.

genetics↗

The butterfly effect: mutational bias of SARS-CoV-2 affects its pattern of molecular evolution on synonymous and nonsynonymous levels

Evolution is a function of mutagenesis and selection. To analyse the role of mutagenesis on the structure of the SARS-CoV-2 genome, we reconstructed the mutational spectrum, which was highly C>U and G>U biased. This bias forces the SARS-CoV-2 genome to become increasingly U-rich unless selection cancels it. We analysed the consequences of this bias on the composition of the most neutral (four-fold degenerate synonymous substitutions) and the least neutral positions (nonsynonymous substitutions). The neutral nucleotide composition is already highly saturated by U and, according to our model, it is at equilibrium, suggesting that in the future, we dont expect any more increase in U. However, nonsynonymous changes continue slowly evolve towards equilibrium substituting CG-rich amino-acids ("losers") with U-rich ones ("gainers"). This process is universal for all genes of SARS-CoV-2 as well as for other coronaviridae species. In line with the direction mutation pressure hypothesis, we show that viral-specific amino acid content is associated with the viral-specific mutational spectrum due to the accumulation of effectively neutral slightly deleterious variants (losers to gainers) during the molecular evolution. The tuning of a protein space by the mutational process is expected to be typical for species with relaxed purifying selection, suggesting that the purging of slightly-deleterious variants in the SARS-CoV-2 population is not very effective, probably due to the fast expansion of the viral population during the pandemic. Understanding the mutational process can help to design more robust vaccines, based on gainer-rich motifs, close to the mutation-selection equilibrium.

evolutionary biology↗