Biology subjects

Denisov, S.

Publications and source records attributed to Denisov, S..

7 recordsLinked to original sources

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↗

bioRxiv2025

Strong promoters are mutationally robust

Mutational robustness is the persistence of a phenotype upon mutation. It facilitates molecular evolution and has been characterized in a variety of biological systems, but studies of prokaryotic promoters are limited. Prokaryotic promoters are non-coding DNA sequences that regulate transcription. The main housekeeping promoters ({sigma}70) share two sequence motifs called the -35 and the -10 box that are spaced 17{+/-}1 base pairs (bps) apart. The sequence of these boxes, their distance, and the existence of multiple nearby boxes can determine promoter strength, the ability of a promoter to drive high levels of transcription. Here we used computational modelling to show that the mutational robustness of {sigma}70 promoters - the persistence of promoter strength upon mutation - correlates with promoter strength itself. Mutational robustness is also influenced by potential overlaps between -10 and -35 boxes, and by specific positions within the boxes. It is higher when the boxes are exactly 17 bps apart. These findings can be partially explained by the flexibility of -35 boxes, which enables adjacent bases to create overlapping and new -35 boxes. Our work can help to engineer synthetic promoters for strength and robustness, and to understand the dynamics of promoter evolution.

evolutionary biology↗

bioRxiv2024

Evolution of intrinsic transcriptional terminators in their genomic context

Transcriptional gene expression relies on two fundamental processes - transcription initiation and termination. Transcriptional termination is essential for the coordinated control of gene expression. Intrinsic termination, the major mechanism of transcriptional termination in bacteria, relies on the sequence-dependent folding of nascent mRNA into a hairpin structure that enables RNA polymerase to dissociate from DNA. Despite their central role in regulating expression in prokaryotic genomes, the conservation of intrinsic terminators and the factors that shape their evolution remain poorly understood. Here, we combine comparative genomics with experimental measurements of terminator function, to study the conservation of intrinsic terminators between Escherichia coli and Salmonella enterica subsp. pullorum. While the two species are closely related, the sequence and function of most terminators are not conserved, with less than 20% of all terminators having an identifiable ortholog - in stark contrast to 60% for coding sequences. Terminators with higher sequence conservation also had more conserved function, indicative of stabilizing selection. The local genomic context shapes the evolution of intrinsic terminators, as their sequence conservation is dependent on the conservation of the upstream gene, while their function is affected by the distance to the downstream gene. Ultimately, any theory of gene regulatory network evolution ought to account for how transcriptional terminators evolve.

evolutionary biology↗

bioRxiv2024

High-throughput method rapidly characterizes hundreds of novel antibiotic resistance mutations

A fundamental obstacle to tackling the antimicrobial resistance crsisis is identifying mutations that lead to resistance in a given genomic background and environment. We present a high-throughput technique - Quantitative Mutational Scan Sequencing (QMS-Seq) - that enables quantitative comparison of which genes are under antibiotic selection and captures how genetic background influences resistance evolution. We compared four E. coli strains exposed to ciprofloxacin, cycloserine, or nitrofurantoin and identified 975 resistance mutations, many in genes and regulatory regions not previously associated with resistance. QMS-Seq revealed that multi-drug and antibiotic-specific resistance are acquired through categorically different types of mutations, and that minor genotypic differences significantly influence evolutionary routes to resistance. By quantifying mutation frequency with single base pair resolution, QMS-Seq informs about the underlying mechanisms of resistance and identifies mutational hotspots within genes. Our method provides a way to rapidly screen for resistance mutations while assessing the impact of multiple confounding factors.

microbiology↗

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↗

bioRxiv2020

An extended catalogue of tandem alternative splice sites in human tissue transcriptomes

Tandem alternative splice sites (TASS) is a special class of alternative splicing events that are characterized by a close tandem arrangement of splice sites. Most TASS lack functional characterization and are believed to arise from splicing noise. Based on the RNA-seq data from the Genotype Tissue Expression project, we present an extended catalogue of TASS in healthy human tissues and analyze their tissue-specific expression. The expression of TASS is usually dominated by one major splice site (maSS), while the expression of minor splice sites (miSS) is at least an order of magnitude lower. Among 73k miSS with sufficient read support, 12k (17%) are significantly expressed above the expected noise level, and among them 2k are expressed tissue-specifically. We found significant correlations between tissue-specific expression of RNA-binding proteins (RBP) and tissue-specific expression of miSS that is consistent with miSS response to RBP inactivation by shRNA. In combination with RBP profiling by eCLIP, this allowed prediction of novel cases of tissue-specific splicing regulation including a miSS in QKI mRNA that is likely regulated by PTBP1. According to the structural annotation of the human proteome, tissue-specific miSS are enriched within disordered regions, and indels induced by miSS are enriched with short linear motifs and post-translational modification sites. Nonetheless, more than 15% of tissue-specific miSS affect structured protein regions and may adjust protein-protein interactions or modify the stability of the protein core. The significantly expressed miSS evolve under the same selection pressure as maSS, while other miSS lack signatures of evolutionary selection and conservation. Using mixture models, we estimated that not more than 10% of maSS and not more than 50% of significantly expressed miSS are noisy, while the proportion of noisy splice sites among not significantly expressed miSS is above 70%.

bioinformatics↗

bioRxiv2020

Conserved long-range RNA structures associated with pre-mRNA processing of human protein-coding genes

The ability of nucleic acids to form double-stranded structures is essential for all living systems on Earth. While DNA employs it for genome replication, RNA molecules fold into complicated secondary and tertiary structures. Current knowledge on functional RNA structures in human protein-coding genes is focused on locally-occurring base pairs. However, chemical crosslinking and proximity ligation experiments have demonstrated that long-range RNA structures are highly abundant. Here, we present the most complete to-date catalog of conserved long-range RNA structures in the human transcriptome, which consists of 916,360 pairs of conserved complementary regions (PCCRs). PCCRs tend to occur within introns proximally to splice sites, suppress intervening exons, circumscribe circular RNAs, and exert an obstructive effect on cryptic and inactive splice sites. The double-stranded structure of PCCRs is supported by a significant decrease of icSHAPE nucleotide accessibility, high abundance of A-to-I RNA editing sites, and frequent occurrence of forked eCLIP peaks nearby. Introns with PCCRs show a distinct splicing pattern in response to RNA Pol II slowdown suggesting that splicing is widely affected by co-transcriptional RNA folding. Additionally, transcript starts and ends are strongly enriched in regions between complementary parts of PCCRs, leading to an intriguing hypothesis that RNA folding coupled with splicing could mediate co-transcriptional suppression of premature cleavage and polyadenylation events. PCCR detection procedure is highly sensitive with respect to bona fide validated RNA structures at the expense of having a high false positive rate, which cannot be reduced without loss of sensitivity. The catalog of PCCRs is visualized through a UCSC Genome Browser track hub.

bioinformatics↗