Biology subjects

Efimenko, B.

Publications and source records attributed to Efimenko, B..

7 recordsLinked to original sources

bioRxiv2026

From life history to proteome via mutagenesis: an ecological footprint in genome evolution

Species differ in longevity, physiology, and social organization, and these properties expose them to distinct endogenous and environmental mutagens. Mutational spectra generated by these processes can shape downstream molecular evolution, influencing synonymous nucleotide composition, codon usage, and even amino acid composition. Tracing this signal from life history to proteome through mutagenesis could reveal how mutational pressure interacts with the fitness landscape, including the direction of molecular change and the extent to which proteins remain functional while following mutational biases. Here, building on the recently identified age-associated mitochondrial A>G mutational signature in mammals, we test the universality of this signature and its downstream effects on genome and proteome evolution by comparing long-lived termites with short-lived non-termite cockroaches. We find that termite mtDNA exhibits a stronger A>G mutational signature than that of non-termite cockroaches, accompanied by coordinated shifts in synonymous nucleotide composition, codon usage, and amino acid composition. Our results show that ecological and life-history-associated mutational pressures can be transmitted through a hierarchy from mutational spectra to nucleotide composition and ultimately to proteome evolution. Mitochondrial genomes may therefore function not only as records of ancestry but also as molecular archives of the biological conditions under which species evolve.

evolutionary biology↗

bioRxiv2026

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↗

bioRxiv2026

BacNeMu: neutral mutation spectra reconstruction pipeline for bacteria

The mutational spectrum is an increasingly important molecular phenotype that quantitatively describes mutagenesis in a given gene and species, enabling future comparative analyses to reveal differences in underlying mutagenic processes, whether internal, such as DNA repair processes, or external, such as ecological niches and conditions. Mutation accumulation experiments, although time-consuming and costly, remain the standard approach for reconstructing bacterial neutral mutation spectra. Here, we present BacNeMu, a phylogenetically informed pipeline that reconstructs neutral mutational spectra of bacterial genomes using open databases GTDB1, AnnoTree2 and KEGG Orthology3, building on previously developed NeMu pipeline4. BacNeMu reconstructs mutation spectra that closely match mutation accumulation experiments results while requiring substantially less time, enabling comparative analyses across diverse bacterial taxa. Applied to obligate aerobes and anaerobes, BacNeMu recovered the expected excess of T:A>C:G transitions, consistent with oxidative-damage-associated mutational patterns previously described in mitochondrial genomes and yeast single-strand5,6. We further asked if any other ecologic factors influence a mutational spectrum. As a pilot we compared three species living under different temperatures: one strong thermophile - Thermotoga maritima7, one psychrophile - Clostridium algidicarnis8, and one with intermediate temperature tolerance - Psychrobacter sanguinis9. In the thermophile, the relative frequency of T:A>C:G substitutions was higher than in the psychrophile, although C:G>T:A transitions predominate across all three species. BacNeMu provides a rapid, phylogenetically informed framework for generating biologically meaningful mutation spectra from open databases. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=138 SRC="FIGDIR/small/735404v1_ufig1.gif" ALT="Figure 1"> View larger version (28K): org.highwire.dtl.DTLVardef@bfe7adorg.highwire.dtl.DTLVardef@1033010org.highwire.dtl.DTLVardef@48a77aorg.highwire.dtl.DTLVardef@1eb7533_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗

bioRxiv2023

NeMu: A Comprehensive Pipeline for Accurate Reconstruction of Neutral Mutation Spectra from Evolutionary Data

One of the most important characteristics of each contemporary model of molecular evolution is the assumption that mutations occur in a constant manner; however, in the real world, the mutations are determined by the combination of the effects of DNA replication and repair. This affects the nucleotide composition of the genome and guides not just neutral but adaptive evolution1. Mutation accumulation experiments are the de facto standard for the neutral mutation spectra estimation. However, recent studies have demonstrated that the mutation fraction under selection pressure is significantly underestimated in mutation accumulation experiments, and, therefore the precise extraction of neutral mutation spectra from mutation accumulation experiments is not trivial2. To unravel the neutral mutation spectra, it is very important to analyze all the mutations available in depth, based on the evolutionary timescale, taking into consideration all the existing knowledge. In order to facilitate this analysis, we have created a novel pipeline, called NeMu (https://biopipelines.kantiana.ru/nemu/).

bioinformatics↗

bioRxiv2023

Unravelling the Mitochondrial Mutational Landscape in Chordates: damage-induced versus replication-induced signatures, their Etiologies, and dynamics

To elucidate the primary factors shaping mitochondrial DNA (mtDNA) mutagenesis, we derived a comprehensive 192-component mtDNA mutational spectrum using 86,149 polymorphic synonymous mutations reconstructed from the CytB gene of 967 chordate species. The mtDNA spectrum analysis provided numerous findings on repair and mutation processes, breaking it down into three main signatures: (i) symmetrical, evenly distributed across both strands, mutations, induced by gamma DNA polymerase (about 50% of all mutations); (ii) asymmetrical, heavy-strand-specific, C>T mutations (about 30%); and (iii) asymmetrical, heavy-strand-specific A>G mutations, influenced by metabolic and age-specific factors (about 20%). We propose that both asymmetrical signatures are driven by single-strand specific damage coupled with inefficient base excision repair on the lagging (heavy) strand of mtDNA. Understanding the detailed mechanisms of this damage is crucial for developing strategies to reduce somatic mtDNA mutational load, which is vital for combating age-related diseases.

bioinformatics↗

bioRxiv2023

Improving genome quality through artificial truncating purifying selection using heat shock: case of carps

The process of domestication is associated with decrease in effective population size, which in turn leads to accumulation of slightly-deleterious mutations due to genetic drift. To maintain genome quality at a high level, we propose to use a stress-induced strong purifying selection, which based on negative epistasis, can effectively eliminate organisms with an excess of deleterious variants. Here, to identify stress factors, which interact with the effect of deleterious mutations we performed a proof-of-principle experiment with several regimes of a heat shock. We observed that fitness of mutated versus wild-type carp lines drops stronger after heat shock, which is a signature of a negative epistasis. Although the observed trend is promising, the effect of the epistasis is weak and unstable from family to family. Thus, more deep tuning of heat shock regimes is needed to uncover the most efficient combination of factors (absolute temperature, duration, stage of the embryo development) aggravating the burden of deleterious mutations and thus exposing them to the selection.

evolutionary biology↗

bioRxiv2022

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↗