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Petrov, A. S.

Publications and source records attributed to Petrov, A. S..

13 recordsLinked to original sources

A pan-eukaryotic analysis of mitochondrial ribosomes uncovers major evolutionary transitions

Mitochondrial ribosomes (mitoribosomes) have diverged extensively both from their bacterial ancestors and across eukaryotes, and while many general trends have been identified, fundamental features of their evolution remain unclear. We analyzed sequences from 85 eukaryotes to chart protein composition across the evolution of mitochondrial translation. We both reconstruct the LECA mitoribosomal proteome as containing nearly the full bacterial protein complement and at least 23 proteins recruited after -proteobacterial endosymbiosis and describe the subsequent extensive but lineage-specific remodeling post LECA. We further uncover previously unrecognized homologies among several mitoribosomal proteins and unify and update the mitoribosomal nomenclature. Our data also support protein retargeting between organellar ribosomes, documenting remarkable intercompartmental structural compatibility. Together, these findings highlight the exceptional evolutionary plasticity of mitoribosomes and provide a comprehensive reference framework for future analysis.

evolutionary biology↗

Deep shifts in Evolutionary Rate Trajectories of Ancient Bacterial Genes

Reconstruction of ancestral gene repertoires from extant genomes captures only the genes that survived; those lost from the record are invisible. Among the genes that did persist, selective pressures change not only across lineages but across time. Here, we resolve evolutionary rate trajectories across 528 genes in the Last Bacterial Common Ancestor (LBCA). We hypothesized that LBCA genes would show distinct evolutionary rate trajectories across bacterial history and tested this by resolving normalized branch lengths across five calibrated taxonomic intervals (phylum, class, order, family, and genus), spanning approximately 2.1 billion years of bacterial diversification. The distribution of rate trajectories is continuous, but four clusters capture the major patterns: Decelerating, Class-Peaking, Constant, and Accelerating. The Decelerating and Class-Peaking clusters are composed predominantly of Genetic Information Processing genes, whereas the Constant and Accelerating clusters are enriched for Metabolic genes. Specifically, the Decelerating cluster is enriched for core informational machinery, including translation initiation factors and components of the expressome, the molecular complex physically coupling transcription and translation, suggesting that transcription-translation interfaces locked in early in bacterial history. Cofactor-dependence and cofactor biosynthesis are decoupled: biosynthetic pathways producing metallocofactors such as heme, molybdopterin, and cobalamin, concentrated in the Constant and Accelerating clusters but proportionally more proteins use inorganic cofactors in the Decelerating and Class-Peaking clusters. This offset coincides with the shift in metal bioavailability associated with the Great Oxidation Event and reveals genomic fingerprints of the co-evolution of bacterial metabolism with planetary geochemistry.

evolutionary biology↗

TEDLH: Domain HMMs for sensitive detection of remote homologues

MotivationThe Encyclopedia of Domains (TED) provides domain annotations for proteins in the AlphaFold Protein Structure Database (AFDB) using a consensus of three state-of-the-art structure-based methods. We used these TED domain annotations to construct profile Hidden Markov models (HMMs), collectively forming the TED Library of HMMs (TEDLH). TEDLH enables sensitive sequence and profile searches, supporting systematic exploration of protein domain families and their evolutionary relationships. ResultsTEDLH links domain HMMs to experimentally determined CATH-PDB structures through direct (primary) and transitive (secondary and tertiary) relationships. Fewer than half of TEDLH HMMs are directly linked to a CATH-PDB domain; the remaining models are connected through transitive relationships. These transitive links extend coverage into more divergent regions of sequence space and better represent CATH superfamily diversity. HMM-HMM comparisons within CATH superfamily 3.30.70.100 illustrate how transitive relationships expand sequence coverage in TEDLH. In this superfamily, 4,813 TEDLH HMMs are connected to 212 CATH-PDB representatives. Primary, secondary, and tertiary relationships progressively capture more divergent sequences (pairwise sequence identity <20%) that retain structural similarity (TM-score >0.6) and a conserved two-layer /{beta} sandwich core fold. All-against-all HMM-HMM comparisons across TEDLH also reveal sequence similarities across the CATH hierarchy (cross-hits). At low query coverage (<50%), cross-hits are more frequent between CATH classes, whereas at higher coverage thresholds (>70%) they predominantly occur between superfamilies. These cross-hits are not driven by superfamily size or sequence diversity and can provide guidance for CATH curation. As an example, analysis of cross-hits between superfamilies 2.170.130.30 and 3.10.20.30 reveals evolutionary relationships between these groups. Availability and ImplementationTEDLH is compatible with HH-suite3 and is available from FigShare https://doi.org/10.6084/m9.figshare.28531754 for local use. Contactc.carreno@ucl.ac.uk

bioinformatics↗

RNAcentral in 2026: Genes and literature integration

RNAcentral was founded in 2014 to serve as a comprehensive database of non-coding RNA sequences. It began by providing a single unified interface to more specialised resources, and now contains 45 million sequences. It has grown beyond providing a single interface to many specialised resources and now provides several services and analyses. These include secondary structure prediction with R2DT, sequence search, and analysis with Rfam. Since its last publication in 2021, RNAcentral has developed two major features. First, literature integration with the development of LitScan and LitSumm. LitScan automatically identifies and links relevant publications to RNA entries, while LitSumm uses natural language processing to generate functional summaries from the literature. Together, these tools address the critical challenge of connecting sequence data with scattered functional knowledge across thousands of publications. Secondly, RNAcentral has created gene level entries. Gene level entries represent a large structural change to RNAcentral. While RNAcentral previously organized data exclusively at the sequence level, we now group related transcripts into gene-centric views. This allows researchers to explore all isoforms, splice variants, and related sequences for a gene in a unified interface, better reflecting biological organization and facilitating comparative analyses. RNAcentral is freely available at: https://rnacentral.org.

bioinformatics↗

R2DT: a comprehensive platform for visualising RNA secondary structure

RNA secondary (2D) structure visualisation is an essential tool for understanding RNA function. R2DT is a software package designed to visualise RNA 2D structures in consistent, recognisable, and reproducible layouts. The latest release, R2DT 2.0, introduces multiple significant features, including the ability to display position-specific information, such as single nucleotide polymorphisms (SNPs) or SHAPE reactivities. It also offers a new template-free mode allowing visualisation of RNAs without pre-existing templates, alongside a constrained folding mode and support for animated visualisations. Users can interactively modify R2DT diagrams, either manually or using natural language prompts, to generate new templates or create publication-quality images. Additionally, R2DT features faster performance, an expanded template library, and a growing collection of compatible tools and utilities. Already integrated into multiple biological databases, R2DT has evolved into a comprehensive platform for RNA 2D visualisation, accessible at https://r2dt.bio.

bioinformatics↗

Common evolutionary origins of the bacterial glycyl tRNA synthetaseand alanyl tRNA synthetase

Aminoacyl-tRNA synthetases (aaRSs) establish the genetic code. Each aaRS covalently links a given canonical amino acid to a cognate set of tRNA isoacceptors. Glycyl tRNA aminoacylation is unusual in that it is catalyzed by different aaRSs in different lineages of the Tree of Life. We have investigated the phylogenetic distribution and evolutionary history of bacterial glycyl tRNA synthetase (bacGlyRS). This enzyme is found in early diverging bacterial phyla such as Firmicutes, Acidobacteria, and Proteobacteria, but not in archaea or eukarya. We observe relationships between each of six domains of bacGlyRS and six domains of four different RNA-modifying proteins. Component domains of bacGlyRS show common ancestry with i) the catalytic domain of class II tRNA synthetases; ii) the HD domain of the bacterial RNase Y; iii) the body and tail domains of the archaeal CCA-adding enzyme; iv) the anti-codon binding domain of the arginyl tRNA synthetase; and v) a previously unrecognized domain that we call ATL (Ancient tRNA latch). The ATL domain is found only in bacGlyRS and in the universal alanyl tRNA synthetase (uniAlaRS). Further, the catalytic domain of bacGlyRS is more closely related to the catalytic domain of uniAlaRS than to any other aminoacyl tRNA synthetase. The combined data suggest that the ATL and catalytic domains of these two enzymes are ancestral to bacGlyRS and uniAlaRS, which emerged from common protein ancestors by bricolage, stepwise accumulation of protein domains, before the last universal common ancestor of life.

evolutionary biology↗

Translation in a Box: Orthogonal Evolution in the Saccharomyces cerevisiae Mitochondrion

The ability to re-engineer and creatively evolve the translation system (TS) would allow invention of new coded polymers by altering the amino acid sidechain inventory and by shifting the polypeptide backbone into new chemical spaces. Unfortunately, the TS is difficult to manipulate and is more constrained over evolution than any other biological system. An orthogonal TS, running in parallel to the primary TS within a given host cell, would release constraints and allow TS manipulation. A fully orthogonal TS requires dedicated rRNAs, rProteins, aminoacyl-tRNA synthetases, and initiation and termination factors, none of which interact with the primary TS. The S. cerevisiae mitochondrial TS is fully orthogonal to the cytosolic TS. Mito-rRNAs, mito- rProteins, mito-tRNAs, mito-aminoacyl tRNA synthetases, and mito-translation factors are distinct from, physically separated from, and functionally independent of their cytosolic counterparts. Here, the S. cerevisiae mitochondrial translation system was subjected to various stresses including antibiotics, mutagenesis and truncation of mito-rProteins, or wholesale replacement of mito-rProteins. Directed evolution of these stressed systems was facilitated by controlled transitions between fermentation and respiration, by changing the carbon source in the growth medium; the dependence of S. cerevisiae survival on mitochondrial translation can be toggled on and off. Specific recreation of the resulting mutations recapitulate the evolved phenotypes. The method developed here appears to be a general approach for discovering functional dependencies. Suppressor mutations reveal functional dependencies within the S. cerevisiae mitochondrial TS. For example proteins Rrg9 or Mrx1 interact with the mito-TS and have critical role in its function. The combined results indicate that the S. cerevisiae mitochondrial TS can be engineered and evolved in isolation of the cytosolic TS. SignificanceThe Central Dogma of Molecular Biology rules life on Earth. Information flows from DNA to mRNA to protein. In the last step of the Central Dogma, the translation system decodes mRNA and produces coded proteins by linking amino acids into polymers. Engineering and evolving the translation system could permits full technical control over this process and could lead to the generation of novel polymers. Here, we use the mitochondrial translation system in the budding yeast Saccharomyces cerevisiae for directed evolution of translation. We modify and evolve the translation system both directly and indirectly using antibiotics and gene editing tools and then measure resulting functionality. Our results show this secondary translation system inside S. cerevisiae mitochondria can be used as an approach for translation engineering.

synthetic biology↗

RiboXYZ: A comprehensive database for visualizing and analyzing ribosomestructures

Recent advances in Cryo-EM led to a surge of ribosome structures deposited over the past years, including structures from different species, conformational states, or bound with different ligands. Yet, multiple conflicts of nomenclature make the identification and comparison of structures and ortholog components challenging. We present RiboXYZ (available at https://ribosome.xyz), a database that provides organized access to ribosome structures, with several tools for visualisation and study. The database is up-to-date with the Protein Data Bank (PDB) but provides a standardized nomenclature that allows for searching and comparing ribosomal components (proteins, RNA, ligands) across all the available structures. In addition to structured and simplified access to the data, the application has several specialized visualization tools, including the identification and prediction of ligand binding sites, and 3D superimposition of ribosomal components. Overall, RiboXYZ provides a useful toolkit that complements the PDB database, by implementing the current conventions and providing a set of auxiliary tools that have been developed explicitly for analyzing ribosome structures. This toolkit can be easily accessible by both experts and non-experts in structural biology so that they can search, visualize and compare structures, with various potential applications in molecular biology, evolution, and biochemistry.

molecular biology↗

Fold Evolution by Creative Destruction

Mechanisms by which new protein folds emerge and diverge pose central questions in biological sciences. Incremental mutation and step-wise adaptation explain relationships between topologically similar protein folds. However, the universe of folds is diverse and riotous, suggesting roles of more potent and creative forces. Sequence and structure similarity are observed between topologically distinct folds, indicating that proteins with distinct folds may share common ancestry. We found evidence of common ancestry between three distinct {beta}-barrel folds: OB, SH3 and cradle loop barrel (CLB). The data suggest a mechanism of fold evolution that interconverts SH3, OB and CLB. This mechanism, which we call creative destruction, can be generalized to explain other examples of fold evolution including circular permutation. In creative destruction, an open reading frame duplicates or otherwise merges with another to produce a fused polypeptide. A merger forces two ancestral domains into a new sequence and spatial context. The fused polypeptide can explore folding landscapes that are inaccessible to either of the independent ancestral domains. However, the folding landscapes of the fused polypeptide are not fully independent of those of the ancestral domains. Creative destruction is thus partially conservative in that a daughter fold would inherit some motifs from the ancestral folds. After a merger and refolding, adaptive processes such as mutation and loss of extraneous segments optimize the new daughter fold. SignificanceMechanisms of emergence and early diversification of structured proteins present deep and difficult problems in evolutionary biology. Here we excavate the deepest evolutionary history, found within the translation machinery, which is an ancient molecular fossil and the birthplace of all proteins. We demonstrate common origins of some of the simplest, oldest and most common protein folds. Furthermore, the data suggest a mechanism, that we call creative destruction, that explains at molecular level how simple folds spawn more complex folds. In this mechanism, new folds emerge from old folds via gene duplication, expression, exploration of new folding landscapes and adaptation. Creative destruction explains the facile emergence of complex from simple architectures in a funneled exploration.

evolutionary biology↗

R2DT: computational framework for template-based RNA secondary structure visualisation across non-coding RNA types

Non-coding RNAs (ncRNA) are essential for all life, and the functions of many ncRNAs depend on their secondary (2D) and tertiary (3D) structure. Despite proliferation of 2D visualisation software, there is a lack of methods for automatically generating 2D representations in consistent, reproducible, and recognisable layouts, making them difficult to construct, compare and analyse. Here we present R2DT, a comprehensive method for visualising a wide range of RNA structures in standardised layouts. R2DT is based on a library of 3,632 templates representing the majority of known structured RNAs, from small RNAs to the large subunit ribosomal RNA. R2DT has been applied to ncRNA sequences from the RNAcentral database and produced >13 million diagrams, creating the worlds largest RNA 2D structure dataset. The software is freely available at https://github.com/rnacentral/R2DT and a web server is found at https://rnacentral.org/r2dt.

bioinformatics↗

Eukaryotic-like ribosomal RNA region in Lokiarchaeota

The ribosomes common core, comprised of ribosomal RNA (rRNA) and universal ribosomal proteins, connects all life back to a common ancestor and serves as a window to relationships among organisms. The rRNA of the common core is most similar to rRNA of extant bacteria. In eukaryotes, the rRNA of the common core is decorated by expansion segments (ESs) that vastly increase its size. Supersized ESs have not been observed previously in Archaea, and the origin of eukaryotic ESs remains enigmatic. We discovered that the large subunit (LSU) rRNA of two Asgard phyla, Lokiarchaeota and Heimdallarchaeota, considered to be the closest modern archaeal cell lineages to Eukarya, bridge the gap in size between prokaryotic and eukaryotic LSU rRNA. The elongated LSU rRNAs in Lokiarchaeota and Heimdallarchaeota stem from the presence of two supersized ESs, ES9 and ES39. We applied chemical footprinting experiments to study the structure of Lokiarchaeota ES39. Furthermore, we used covariation and sequence analysis to study the evolution of Asgard ES39s and ES9s. By defining the common eukaryotic ES39 signature fold, we found that Asgard ES39s have more and longer helices than eukaryotic ES39s. While Asgard ES39s have sequences and structures distinct from eukaryotic ES39s, we found overall conservation of a three-way junction across the Asgard species that matches eukaryotic ES39 topology, a result consistent with the accretion model of ribosomal evolution. SignificanceEukaryotes possess longer and more complex ribosomal RNA (rRNA) than Bacteria and Archaea, including eukaryotic-specific rRNA expansion segments (ESs). The origin and evolution of ESs has long remained a mystery. We show that two recently discovered Asgard archaeal phyla, Lokiarchaeota and Heimdallarchaeota, contain large subunit rRNA with ESs are "supersized" (>100 nt) compared to all other prokaryotes studied to date. Asgard ESs have distinct structures from eukaryotic ESs, but share a common three-way junction out of which the ES grew. Our findings raise the possibility that supersized ESs existed on the ribosomal surface before the last eukaryotic common ancestor, opening the question of whether ribosomal complexity is more deeply rooted than previously thought.

evolutionary biology↗

Dynamic G-quadruplexes on the surface of the human ribosome

Profound similarities and critical differences mark ribosomes across phylogeny. The ribosomal core, approximated by the prokaryotic ribosome, is universal, yet mammalian ribosomes are nearly twice as large as those of prokaryotes. Differences in size are due in part to rRNA expansion segments. Here we show rRNA tentacles of Expansion Segment 7 (ES7) of Homo sapiens can form G-quadruplexes in vitro. G-quadruplex-forming regions are located on the most surface-exposed regions of the ribosome, near the termini of rRNA tentacles. We characterized rRNA of the large ribosomal subunit by computation, circular dichroism, gel mobility, fluorescent probes, nuclease accessibility, electrophoretic mobility shifts and blotting. We investigated ES7 and oligomers derived from ES7, intact 28S rRNA, and 80S ribosomes and polysomes. We used mass spectrometry to identify proteins that bind to rRNA G-quadruplexes in cell lysates. Proteins that associate with rRNA G-quadruplexes include helicases (DDX3, CNBP, DDX21, DDX17) and heterogeneous nuclear ribonucleoproteins (hnRNPs). And finally, by multiple sequence alignments, we observed that G-quadruplex-forming sequences appear to be a general feature LSU rRNA of the phylum Chordata but not in other phyla. It is known that G-quadruplexes form in telomeres, promoters, and untranslated regions of mRNA but, to our knowledge, they have not been reported previously in ribosomes.

biochemistry↗

Ferrous iron mediates translation

Today, Mg2+ is an essential cofactor with diverse structural and functional roles in lifes oldest macromolecular machine, the translation system. We tested whether ancient Earth conditions (low O2, high Fe2+, high Mn2+) can revert the ribosome to a functional ancestral state. First, SHAPE (Selective 2 Hydroxyl Acylation analyzed by Primer Extension) was used to compare the effect of Mg2+, Fe2+, and Mn2+ on the tertiary structure of rRNA. Then, we used in vitro translation reactions to test whether Fe2+ or Mn2+ could mediate protein production, and quantified ribosomal metal content. We found that: (i) Mg2+, Fe2+, and Mn2+ had strikingly similar effects on rRNA folding; (ii) Fe2+ and Mn2+ can replace Mg2+ as the dominant divalent cation during translation of mRNA to functional protein; (iii) Fe and Mn associate extensively with the ribosome. Given that the translation system originated and matured when Fe2+ and Mn2+ were abundant, these findings suggest that Fe2+ and Mn2+ played a role in early ribosomal evolution.\n\nSIGNIFICANCERibosomes are found in every living organism where they are responsible for the translation of messenger RNA into protein. The ribosomes centrality to cell function is underscored by its evolutionary conservation; the core structure has changed little since its inception ~4 billion years ago when ecosystems were anoxic and metal-rich. The ribosome is a model system for the study of bioinorganic chemistry, owing to the many highly coordinated divalent metal cations that are essential to its function. We studied the structure, function, and cation content of the ribosome under early Earth conditions (low O2, high Fe2+, high Mn2+). Our results expand the roles of Fe2+ and Mn2+ in ancient and extant biochemistry as cofactors for ribosomal structure and function.

biochemistry↗