Biology subjects

Snel, B.

Publications and source records attributed to Snel, B..

At least 19 recordsLinked to original sources

bioRxiv2026

Origins of eukaryotic metabolism

The origin of eukaryotes is a key event in the evolution of cellular life hypothesized to involve a symbiotic integration between a member of the Asgard archaea and the Alphaproteobacteria. Recent work has provided evidence for additional genetic input from other prokaryotes to the eukaryotic proteome yet the extent and sources of these contributions remain debated. Here we aimed to further resolve the prokaryotic origins of eukaryotic genes to inform our understanding of eukaryogenesis. Specifically, we developed a phylogenetic framework to investigate the origins of eukaryotic gene families associated with metabolism and informational processing for comparison. We found that informational processing genes were predominantly derived by archaea whereas eukaryotic metabolism is highly chimeric in its origin. In contrast to previous studies, we report a substantial number of archaeal origins of diverse metabolic enzymes including key metabolic regulators. This highlights an overlooked participation of archaeal metabolism and pinpoints potential metabolic integrations during eukaryogenesis. Apart from the alphaproteobacterial contributions to the eukaryotic metabolism, we found an additional dominant phylogenetic signal of genes potentially derived from Myxococcota, especially for gene families associated with lipid metabolism. By systematically analysing the origins of eukaryotic metabolism, this research offers novel insights into the origin of eukaryotic membranes and refine our current models for the origin of the eukaryotic cell.

evolutionary biology↗

bioRxiv2025

Unconventional components complement the cryptic kinetochore of the ciliate Tetrahymena thermophila

The accurate segregation of chromosomes is mediated by kinetochores, multi-protein structures that connect centromeric chromatin to the dynamic microtubules of the spindle apparatus. Comparative genomics surveys predict a complex kinetochore in the last eukaryotic common ancestor (LECA) and recurrent loss or replacement of its subcomplexes across the eukaryotic tree of life. Understanding kinetochore composition and organization in diverse lineages can reveal the trajectories of kinetochore evolution in eukaryotes and aid in dissecting the function of each subcomplex. Tetrahymena thermophila is a unicellular eukaryote of the phylum Ciliophora with a largely elusive kinetochore composition. Here, we leverage proximity proteomics coupled to deep homology detection approaches to identify 16 kinetochore proteins in T. thermophila, dubbed KiTTs (Kinetochore of Tetrahymena thermophila 1-16). We find that nine KiTTs (3-9 + 15-16) are cryptic orthologs of conventional kinetochore proteins that previously remained undetected due to extensive sequence divergence. Four KiTTs (10-13) are not orthologous to known subunits and therefore represent unconventional kinetochore proteins. Super-resolution imaging places three of these novel proteins (KiTT10/11/13) at the inner kinetochore, whereas the fourth (KiTT12) localizes near the MIS12 complex at the outer kinetochore. RNAi-mediated depletion of KiTT12 reduces levels of the outer kinetochore protein KiTT1NDC80 and causes chromosome segregation errors, showcasing a bona fide role at the kinetochore. Our work reveals a unique kinetochore composition in a ciliate, providing new insights into the evolution of an essential cellular protein machine.

cell biology↗

bioRxiv2025

Natural protein structures have evolved exceptional robustness to mutations

Protein structures are often conserved across widely divergent sequences, suggesting high mutational robustness. However, how such robustness emerges through evolution, and how it relates to the underlying sequence-structure map, remains poorly understood. In contrast, the mutational profiles (distribution of structures upon point mutation) of RNA secondary structures are well characterised, exhibiting both high mutational robustness and high evolvability through mutational access to diverse folds. The recent revolution in protein structure prediction now enables analagous large-scale analyses for proteins. Here, we use the structure prediction algorithm ESMFold to systematically investigate the mutational profiles of natural, random, and de novo proteins. Unlike RNA, where functional and random sequences share similar mutational profiles, natural proteins are substantially more robust than random amino acid sequences, suggesting an evolutionary drive toward robustness. They also exhibit limited structural variation among close sequence neighbours, potentially constraining access to new folds. Interestingly, many de novo proteins do resemble random sequences in their mutational profiles, with low robustness relative to established proteins. These findings reveal how gene duplication and de novo gene birth follow distinct evolutionary trajectories toward functional proteins and highlight a potential role for large-effect mutations in the emergence of structural complexity.

evolutionary biology↗

bioRxiv2024

Chimeric Origins and Dynamic Evolution of Central Carbon Metabolism in Eukaryotes

The origin of eukaryotes was a key event in the history of life. Current leading hypotheses propose that a symbiosis between an asgardarchaeal host cell and an alphaproteobacterial endosymbiont represented a crucial step in eukaryotic origins and invoke a central role for syntrophic interactions - that is, metabolic cross-feeding between the partners as the basis for their subsequent evolutionary integration. A major unanswered question is whether the metabolism of modern eukaryotes bears any vestige of this ancestral interaction. To investigate this question in detail, we systematically analyze the evolutionary origins of the eukaryotic gene repertoires mediating central carbon metabolism. Our phylogenetic and sequence analyses reveal that this gene repertoire is chimeric, with ancestral contributions from Asgardarchaeota and Alphaproteobacteria operating predominantly in glycolysis and TCA, respectively. Furthermore, our analyses reveal diverse additional contributions from other prokaryotic sources as well as the extent to which this ancestral metabolic interplay has been remodeled via gene loss, transfer, and subcellular retargeting in the >2Ga since the origin of eukaryotic cells. Together, our work demonstrates that in contrast to previous assumptions, the eukaryotic metabolism preserves information about the nature of the original asgardarchaeal-alphaproteobacterial interactions, and supports syntrophy scenarios on the origin of the eukaryotic cell.

evolutionary biology↗

bioRxiv2023

Distinct functions for the paralogous RBM41 and U11/U12-65K proteins in the minor spliceosome

In this work, we identify RBM41 as a novel unique protein component of the minor spliceosome. RBM41 has no previously recognized cellular function but has been identified as a paralog of the U11/U12-65K protein, a known unique component of the minor spliceosome that functions during the early steps of minor intron recognition as a component of the U11/U12 di-snRNP. We show that both proteins use their highly similar C-terminal RRMs to bind to 3-terminal stem-loops in U12 and U6atac snRNAs with comparable affinity. Our BioID data indicate that the unique N-terminal domain of RBM41 is necessary for its association with complexes containing DHX8, an RNA helicase, which in the major spliceosome drives the release of mature mRNA from the spliceosome. Consistently, we show that RBM41 associates with excised U12-type intron lariats, is present in the U12 mono-snRNP, and is enriched in Cajal bodies, together suggesting that RBM41 functions in the post-splicing steps of the minor spliceosome assembly/disassembly cycle. This contrasts with the U11/U12-65K protein, which uses the N-terminal region to interact with U11 snRNP during the intron recognition step. Finally, we show that while RBM41 knockout cells are viable, they show alterations in the splicing of U12-type introns, particularly differential U12-type 3 splice site usage. Together, our results highlight the role 3-terminal stem-loop of U12 snRNA as a dynamic binding platform for the paralogous U11/U12-65K and RBM41 proteins, which function at distinct stages of minor spliceosome assembly/disassembly cycle.

molecular biology↗

bioRxiv2023

Intracellular signaling in proto-eukaryotes evolves to alleviate regulatory conflicts of endosymbiosis

The complex eukaryotic cell resulted from a merger between simpler prokaryotic cells, yet the relative timing and the role of the mitochondrial endosymbiosis with respect to other eukaryotic innovations has remained under dispute. Although expansion of the regulatory repertoire has been inferred from phylogenetic studies, gene regulation has not been taken into account in current scenarios of the mitochondrial endosymbiosis which mostly focus on the complementary energetic and ecological perspectives. The endosymbiotic state introduced several unique challenges to cells such as coordination of host and symbiont cell cycles and its disruption by leaking gene products and DNA fragments between host and symbionts. To investigate how these unique challenges impacted genome and network evolution during eukaryogenesis, we study a constructive computational model where two simple cells are forced into an obligate endosymbiosis. Across multiple in silico evolutionary replicates, we observe the emergence of different mechanisms for the coordination of host and symbiont cell cycles, stabilizing the endosymbiotic relationship. The most commonly evolved mechanism, implicit control, works without signaling between host and symbiont. Signaling only evolves under the influence of leaking gene products, while such regulatory interference is inherently harmful. In the fittest evolutionary replicate, the host controls the symbiont cell cycle entirely through signaling, mimicking the regulatory dominance of the nucleus over the mitochondrion that evolved during eukaryogenesis.

evolutionary biology↗

bioRxiv2023

A farnesyl-dependent structural role for CENP-E in expansion of the fibrous corona

Correct chromosome segregation during cell division depends on proper connections between spindle microtubules and kinetochores. During prometaphase, kinetochores are temporarily covered with a dense protein meshwork known as the fibrous corona. Formed by oligomerization of ROD/ZW10/ZWILCH-SPINDLY (RZZ-S) complexes, the fibrous corona promotes spindle assembly, chromosome orientation and spindle checkpoint signaling. The molecular requirements for formation of the fibrous corona are not fully understood. Here we show that the fibrous corona depends on the mitotic kinesin CENP-E, and that poorly expanded fibrous coronas after CENP-E depletion are functionally compromised. This previously unrecognized role for CENP-E does not require its motor activity but instead is driven by farnesyl modification of its C-terminal kinetochore-and microtubule-binding domain. We show that in cells CENP-E interacts with RZZ-S complexes in a farnesyl-dependent manner. CENP-E is recruited to kinetochores following RZZ-S, and - while not required for RZZ-S oligomerization per se - promotes subsequent fibrous corona expansion. Our comparative genomics analyses suggest that the farnesylation motif in CENP-E orthologs emerged alongside the full RZZ-S module in an ancestral lineage close to the fungi-animal split (Obazoa), revealing potential conservation of the mechanisms for fibrous corona formation. Our results show that proper spindle assembly has a potentially conserved non-motor contribution from the kinesin CENP-E through stabilization of the fibrous corona meshwork during its formation.

cell biology↗

bioRxiv2023

Uncoupled evolution of the Polycomb system and deep origin of non-canonical PRC1

Polycomb group (PcG) proteins modulate chromatin states to silence gene transcription in plants and animals. Most PcG proteins function as part of distinct multi-subunit Polycomb repressive complexes (PRCs). Gene repression by the Polycomb system involves chromatin compaction by canonical PRC1 (cPRC1), mono-ubiquitylation of histone H2A (H2Aub1) by non-canonical PRC1 (ncPRC1) and tri-methylation of histone H3K27 (H3K27me3) by PRC2. Prevalent models for Polycomb repression emphasize a tight functional coupling between PRC1 and PRC2. However, whether this paradigm indeed reflects the evolution and functioning of the Polycomb system remains unclear. Here, we examined the relationship between cPRC1, ncPRC1 and PRC2 through a comprehensive analysis of their presence and evolution across the entire eukaryotic tree of life. We show that both PRC1 and PRC2 were present in the Last Eukaryotic Common Ancestor (LECA), but that their subsequent evolution is uncoupled. The identification of orthologs for ncPRC1-defining subunits in unicellular relatives of animals and of fungi suggests that the origin of ncPRC1 predates that of cPRC1, and we develop a scenario for the evolution of cPRC1 from ncPRC1. Our results demonstrate the independent evolution and function of PRC1 and PRC2 and show that crosstalk between these complexes is a secondary development in evolution.

evolutionary biology↗

bioRxiv2022

Obligate Endosymbiosis Explains Genome Expansion During Eukaryogenesis

The endosymbiosis of an alpha-proteobacterium that gave rise to mitochondria was one of the key events in eukaryogenesis. Common patterns in eukaryogenesis and present-day endosymbiotic relations include genomic streamlining of the symbiont, endosymbiotic gene transfer, and regulatory control by the host through protein targeting to the symbiont. One unique outcome for eukaryogenesis was a much more complex cell with a large genome, which may or may not be related to the mitochondrial endosymbiosis. Despite the existence of many plausible hypotheses for the observed patterns, a constructive evolutionary model in which these hypotheses can be studied is still lacking. Here we construct an evolutionary model of cell-cycle regulation to study how obligate endosymbiosis between two prokaryote-like cells impacts cellular behavior and genome evolution. The model does not predefine an explicit fitness criterion and thereby allows for the evolution of various emergent behaviors. For instance, even though we do not allow for communication between host and symbiont, they achieve implicit cell-cycle coordination through their interaction with the environment. This evolved cell-cycle coordination can drive genome expansion as well as symmetry breaking in genome size. Many replicate runs of our evolution experiment yield organisms with a large host and small symbiont genome, but interestingly, some yield the opposite. Still on long timescales, organisms with a large host and small symbiont genome perform best, and mimic the outcome of eukaryogenesis. By designing and studying a constructive evolutionary model of obligate endosymbiosis, we uncovered some of the forces that may drive the patterns observed in nature. Our results provide a theoretical foundation for patterns related to the mitochondrial endosymbiosis, such as genome size asymmetry, and reveal evolutionary outcomes that have not been considered so far, such as cell-cycle coordination without direct communication.

evolutionary biology↗

bioRxiv2022

Increased sampling and intra-complex homologies favor vertical over horizontal inheritance of the Dam1 complex

Kinetochores connect chromosomes to spindle microtubules to ensure their correct segregation during cell division. Kinetochores of human and yeast are largely homologous, their ability to track depolymerizing microtubules however is carried out by the non-homologous complexes Ska1-C and Dam1-C, respectively. We previously reported the unique anti-correlating phylogenetic profiles of Dam1-C and Ska-C found amongst a wide variety of eukaryotes. Based on these profiles and the limited presence of Dam1-C, we speculated that horizontal gene transfer (HGT) could have played a role in the evolutionary history of Dam1-C. Here, we present expanded analyses of Dam1-c evolution, using additional genome as well as transcriptome sequences and recently acquired 3D structure data. This analysis revealed a wider and more complete presence of Dam1-C in Cryptista, Rhizaria, Ichthyosporea, CRuMs, and Colponemidia. The fungal Dam1-C cryo-EM structure supports earlier hypothesized intra-complex homologies, which enables the reconstruction of rooted and unrooted phylogenies. The rooted tree of concatenated Dam1-C subunits is statistically consistent with the species tree of eukaryotes, suggesting that Dam1-C is ancient, and that the present-day phylogenetic distribution is best explained by multiple, independent losses and no HGT was involved. Furthermore, we investigated the ancient origin of Dam1-C via profile-profile searches. Homology among eight out of the ten Dam1-C subunits suggested that the complex largely evolved from a single multimerizing subunit that diversified into an octameric core via stepwise duplication and sub-functionalization of the subunits before the origin of the Last Common Ancestor. SignificanceThe Dam1 complex has a crucial role in cell division yet its distribution across species is very patchy. To resolve the evolutionary origin of this peculiar distribution, we used the recently acquired 3D structure to obtain a rooted phylogeny. This study makes an important step in discovering the evolutionary history of the Dam1 complex, by determining that Dam1-C was part of the Last eukaryotic Common Ancestor and arose via stepwise duplications during the transition from prokaryotes to eukaryotes.

evolutionary biology↗

bioRxiv2022

Integrating phylogenetics with intron positions illuminates the origin of the complex spliceosome

Eukaryotic genes are characterised by the presence of introns that are removed from the pre-mRNA by the spliceosome. This ribonucleoprotein complex is comprised of multiple RNA molecules and over a hundred proteins, which makes it one of the most complex molecular machines that originated during the prokaryote-to-eukaryote transition. Previous work has established that these introns and the spliceosomal core originated from self-splicing introns in prokaryotes. Yet it remains largely elusive how the spliceosomal core expanded by recruiting many additional proteins. In this study we use phylogenetic analyses to infer the evolutionary history of the 145 proteins that we could trace back to the spliceosome in the last eukaryotic common ancestor (LECA). We found that an overabundance of proteins derived from ribosome-related processes were added to the prokaryote-derived core. Extensive duplications of these proteins substantially increased the complexity of the emerging spliceosome. By comparing the intron positions between spliceosomal paralogs, we infer that most spliceosomal complexity postdates the spread of introns through the proto-eukaryotic genome. The reconstruction of early spliceosomal evolution provides insight into the driving forces behind the emergence of complexes with many proteins during eukaryogenesis.

evolutionary biology↗

bioRxiv2022

Caenorhabditis elegans MES-3 is a highly divergent ortholog of the canonical PRC2 component SUZ12

Polycomb Repressive Complex 2 (PRC2) catalyzes the mono-, di, and trimethylation of histone protein H3 on lysine 27 (H3K27), which is strongly associated with transcriptionally silent chromatin. The functional core of PRC2 is highly conserved in animals and consists of four subunits. One of these, SUZ12, has not been identified in the genetic model Caenorhabditis elegans, whereas C. elegans PRC2 contains the clade-specific MES-3 protein. Through unbiased sensitive sequence similarity searches complemented by high-quality structure predictions of monomers and multimers, we here demonstrate that MES-3 is a highly divergent ortholog of SUZ12. MES-3 shares protein folds and conserved residues of key domains with SUZ12 and is predicted to interact with core PRC2 members similar to SUZ12 in human PRC2. Thus, in agreement with previous genetic and biochemical studies, we provide evidence that C. elegans contains a diverged yet evolutionary conserved core PRC2, like other animals.

evolutionary biology↗

bioRxiv2021

The spread of the first introns in proto-eukaryotic paralogs

Spliceosomal introns are a unique feature of eukaryotic genes. Previous studies have established that many introns were present in the protein-coding genes of the last eukaryotic common ancestor (LECA). Intron positions shared between genes that duplicated before LECA could in principle provide insight into the emergence of the first introns. In this study we use ancestral intron position reconstructions in two large sets of duplicated families to systematically identify these ancient paralogous intron positions. We found that 20-35% of introns inferred to have been present in LECA were shared between paralogs. These shared introns, which likely preceded ancient duplications, were widespread across different functions, with the notable exception of nuclear transport. Since we observed a clear signal of pervasive intron loss prior to LECA, it is likely that substantially more introns were shared at the time of duplication than we can detect in LECA. The large extent of shared introns indicates an early origin of introns during eukaryogenesis and suggests an early origin of a nuclear structure, before most of the other complex eukaryotic features were established.

evolutionary biology↗

bioRxiv2021

Evolution of Regulatory Complexity for Cell-Cycle Control

How complexity arises is a fundamental evolutionary question. Complex gene regulation is thought to arise by the interplay between adaptive and non-adaptive forces at multiple organizational levels. Using a computational model, we investigate how complexity arises in cell-cycle regulation. Starting from the well-known Caulobacter crescentus network, we study how cells adapt their cell-cycle behaviour to a gradient of limited nutrient conditions using 10 replicate in silico evolution experiments. We find adaptive expansion of the gene regulatory network: improvement of cell-cycle behaviour allows cells to overcome the inherent cost of complexity. Replicates traverse different evolutionary trajectories leading to distinct eco-evolutionary strategies. In four replicates, cells evolve a generalist strategy to cope with a variety of nutrient levels; in two replicates, different specialist cells evolve for specific nutrient levels; in the remaining four replicates, an intermediate strategy evolves. The generalist and specialist strategies are contingent on the regulatory mechanisms that arise early in evolution, but they are not directly linked to network expansion and overall fitness. This study shows that functionality of cells depends on the combination of gene regulatory network topology and genome structure. For example, the positions of dosage-sensitive genes are exploited to signal to the regulatory network when replication is completed, forming a de novo evolved cell-cycle checkpoint. Complex gene regulation can arise adaptively both from expansion of the regulatory network and from the genomic organization of the elements in this network, demonstrating that to understand complex gene regulation and its evolution, it is necessary to integrate systems that are often studied separately.

evolutionary biology↗

bioRxiv2021

Phylogenetic profiling in eukaryotes: The effect of species, orthologous group, and interactome selection on protein interaction prediction

Phylogenetic profiling in eukaryotes is of continued interest to study and predict the functional relationships between proteins. This interest is likely driven by the increased number of available diverse genomes and computational methods to infer orthologies. The evaluation of phylogenetic profiles has mainly focussed on reference genome selection in prokaryotes. However, it has been proven to be challenging to obtain high prediction accuracies in eukaryotes. As part of our recent comparison of orthology inference methods for eukaryotic genomes, we observed a surprisingly high performance for predicting interacting orthologous groups. This high performance, in turn, prompted the question of what factors influence the success of phylogenetic profiling when applied to eukaryotic genomes. Here we analyse the effect of species, orthologous group and interactome selection on protein interaction prediction using phylogenetic profiles. We select species based on the diversity and quality of the genomes and compare this supervised selection with randomly generated genome subsets. We also analyse the effect on the performance of orthologous groups defined to be in the last eukaryotic common ancestor of eukaryotes to that of orthologous groups that are not. Finally, we consider the effects of reference interactome set filtering and reference interactome species. In agreement with other studies, we find an effect of genome selection based on quality, less of an effect based on genome diversity, but a more notable effect based on the amount of information contained within the genomes. Most importantly, we find it is not merely selecting the correct genomes that is important for high prediction performance. Other choices in meta parameters such as orthologous group selection, the reference species of the interaction set, and the quality of the interaction set have a much larger impact on the performance when predicting protein interactions using phylogenetic profiles. These findings shed light on the differences in reported performance amongst phylogenetic profiles approaches, and reveal on a more fundamental level for which types of protein interactions this method has most promise when applied to eukaryotes.

bioinformatics↗

bioRxiv2020

Chromosomal instability by mutations in a novel specificity factor of the minor spliceosome

Aneuploidy is the leading cause of miscarriage and congenital birth defects, and a hallmark of cancer. Despite this strong association with human disease, the genetic causes of aneuploidy remain largely unknown. Through exome sequencing of patients with constitutional mosaic aneuploidy, we identified biallelic truncating mutations in CENATAC (CCDC84). We show that CENATAC is a novel component of the minor (U12-dependent) spliceosome that promotes splicing of a specific, rare minor intron subtype. This subtype is characterized by AT-AN splice sites and relatively high basal levels of intron retention. CENATAC depletion or expression of disease mutants resulted in excessive retention of AT-AN minor introns in ~100 genes enriched for nucleocytoplasmic transport and cell cycle regulators, and caused chromosome segregation errors. Our findings reveal selectivity in minor intron splicing with a specific impact on the chromosome segregation process, and show how defects herein can cause constitutional aneuploidy.

molecular biology↗

bioRxiv2020

Comparing orthology methods and their performance by recapitulating patterns of eukaryotic genome evolution.

Insights into the evolution of ancestral complexes and pathways are generally achieved through careful and time-intensive manual analysis often using phylogenetic profiles of the constituent proteins. This manual analysis limits the possibility of including more protein-complex components, repeating the analyses for updated genome sets, or expanding the analyses to larger scales. Automated orthology inference should allow such large scale analyses, but substantial differences between orthologous groups generated by different approaches are observed. We evaluate orthology methods for their ability to recapitulate a number of observations that have been made with regards to genome evolution in eukaryotes. Specifically, we investigate phylogenetic profile similarity (co-occurrence of complexes), the Last Eukaryotic Common Ancestors gene content, pervasiveness of gene loss, and the overlap with manually determined orthologous groups. Moreover, we compare the inferred orthologies to each other. We find that most orthology methods reconstruct a large Last Eukaryotic Common Ancestor, with substantial gene loss, and can predict interacting proteins reasonably well when applying phylogenetic co-occurrence. At the same time derived orthologous groups show imperfect overlap with manually curated orthologous groups. There is no strong indication of which orthology method performs better than another on individual or all of these aspects. Counterintuitively, despite the orthology methods behaving similarly regarding large scale evaluation, the obtained orthologous groups differ vastly from one another. Availability and implementationThe data and code underlying this article are available in github and/or upon reasonable request to the corresponding author: https://github.com/ESDeutekom/ComparingOrthologies. SummaryO_LIWe compared multiple orthology inference methods by looking at how well they perform in recapitulating multiple observations made in eukaryotic genome evolution. C_LIO_LICo-occurrence of proteins is predicted fairly well by most methods and all show similar behaviour when looking at loss numbers and dynamics. C_LIO_LIAll the methods show imperfect overlap when compared to manually curated orthologous groups and when compared to orthologous groups of the other methods. C_LIO_LIDifferences are compared between methods by looking at how the inferred orthologies represent a high-quality set of manually curated orthologous groups. C_LIO_LIWe conclude that all methods behave similar when describing general patterns in eukaryotic genome evolution. However, there are large differences within the orthologies themselves, arising from how a method can differentiate between distant homology, recent duplications, or classifying orthologous groups. C_LI

bioinformatics↗

bioRxiv2020

PhyRepID: a comparative phylogenomics approach for large-scale quantification of protein repeat evolution

Protein repeats consisting of domains or motifs are involved in key biological processes such as neural development, host-pathogen interactions, and speciation. Expansion and contraction of these repeats can strongly impact protein function as was shown for KNL1 and PRDM9. However, these known cases could only be identified manually and were previously incorrectly reported as conserved in large-scale analyses, because signatures of repeat evolution are difficult to resolve automatically. We developed PhyRepID to compare protein domain repeat evolution and analysed 4939 groups of orthologous proteins (OGs) from 14 vertebrate species. Our main contributions are 1) detecting a wide scope of repeats consisting of Pfam structural domains and motifs, 2) improving sensitivity and precision of repeat unit detection through optimization for the OGs, 3) using phylogenetic analysis to detect evolution within repeat regions. From these phylogenetic signals, we derived a "protein repeat duplication" (PRD) score that quantifies evolution in repeat regions and thereby enables large-scale comparison of protein families. Zinc finger repeats show remarkably fast evolution, comprising 25 of 100 fastest evolving proteins in our dataset, whilst cooperatively-folding domain repeats like beta-propellers are mostly conserved. Motif repeats have a similar PRD score distribution as domain repeats and also show a large diversity in evolutionary rates. A ranking based on the PRD score reflects previous manual observations of both highly conserved (CDC20) and rapidly evolving repeats (KNL1, PRDM9) and proposes novel candidates (e.g. AHNAK, PRX, SPATA31) showing previously undescribed rapid repeat evolution. PhyRepID is available on https://github.com/ivanbelzen/PhyRepID/.

bioinformatics↗