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A phylogenomic study of DNA repair genes, proteins, and processes.

The ability to recognize and repair abnormal DNA structures is common to all forms of life. Studies in a variety of species have identified an incredible diversity of DNA repair pathways. Documenting and characterizing the similarities and differences in repair between species has important value for understanding the origin and evolution of repair pathways as well as for improving our understanding of phenotypes affected by repair (e.g., mutation rates, lifespan, tumorigenesis, survival in extreme environments). Unfortunately, while repair processes have been studied in quite a few species, the ecological and evolutionary diversity of such studies has been limited. Complete genome sequences can provide potential sources of new information about repair in different species. In this paper, we present a global comparative analysis of DNA repair proteins and processes based upon the analysis of available complete genome sequences. We use a new form of analysis that combines genome sequence information and phylogenetic studies into a composite analysis we refer to as phylogenomics. We use this phylogenomic analysis to study the evolution of repair proteins and processes and to predict the repair phenotypes of those species for which we now know the complete genome sequence.

Adenosine Triphosphatases↗

An empirical assessment of long-branch attraction artefacts in deep eukaryotic phylogenomics.

In the context of exponential growing molecular databases, it becomes increasingly easy to assemble large multigene data sets for phylogenomic studies. The expected increase of resolution due to the reduction of the sampling (stochastic) error is becoming a reality. However, the impact of systematic biases will also become more apparent or even dominant. We have chosen to study the case of the long-branch attraction artefact (LBA) using real instead of simulated sequences. Two fast-evolving eukaryotic lineages, whose evolutionary positions are well established, microsporidia and the nucleomorph of cryptophytes, were chosen as model species. A large data set was assembled (44 species, 133 genes, and 24,294 amino acid positions) and the resulting rooted eukaryotic phylogeny (using a distant archaeal outgroup) is positively misled by an LBA artefact despite the use of a maximum likelihood-based tree reconstruction method with a complex model of sequence evolution. When the fastest evolving proteins from the fast lineages are progressively removed (up to 90%), the bootstrap support for the apparently artefactual basal placement decreases to virtually 0%, and conversely only the expected placement, among all the possible locations of the fast-evolving species, receives increasing support that eventually converges to 100%. The percentage of removal of the fastest evolving proteins constitutes a reliable estimate of the sensitivity of phylogenetic inference to LBA. This protocol confirms that both a rich species sampling (especially the presence of a species that is closely related to the fast-evolving lineage) and a probabilistic method with a complex model are important to overcome the LBA artefact. Finally, we observed that phylogenetic inference methods perform strikingly better with simulated as opposed to real data, and suggest that testing the reliability of phylogenetic inference methods with simulated data leads to overconfidence in their performance. Although phylogenomic studies can be affected by systematic biases, the possibility of discarding a large amount of data containing most of the nonphylogenetic signal allows recovering a phylogeny that is less affected by systematic biases, while maintaining a high statistical support.

Animals↗

The average common substring approach to phylogenomic reconstruction.

We describe a novel method for efficient reconstruction of phylogenetic trees, based on sequences of whole genomes or proteomes, whose lengths may greatly vary. The core of our method is a new measure of pairwise distances between sequences. This measure is based on computing the average lengths of maximum common substrings, which is intrinsically related to information theoretic tools (Kullback-Leibler relative entropy). We present an algorithm for efficiently computing these distances. In principle, the distance of two l long sequences can be calculated in O(l) time. We implemented the algorithm using suffix arrays our implementation is fast enough to enable the construction of the proteome phylogenomic tree for hundreds of species and the genome phylogenomic forest for almost two thousand viruses. An initial analysis of the results exhibits a remarkable agreement with "acceptable phylogenetic and taxonomic truth." To assess our approach, our results were compared to the traditional (single-gene or protein-based) maximum likelihood method. The obtained trees were compared to implementations of a number of alternative approaches, including two that were previously published in the literature, and to the published results of a third approach. Comparing their outcome and running time to ours, using a "traditional" trees and a standard tree comparison method, our algorithm improved upon the "competition" by a substantial margin. The simplicity and speed of our method allows for a whole genome analysis with the greatest scope attempted so far. We describe here five different applications of the method, which not only show the validity of the method, but also suggest a number of novel phylogenetic insights.

Algorithms↗

A phylogenomic study of the MutS family of proteins.

The MutS protein of Escherichia coli plays a key role in the recognition and repair of errors made during the replication of DNA. Homologs of MutS have been found in many species including eukaryotes, Archaea and other bacteria, and together these proteins have been grouped into the MutS family. Although many of these proteins have similar activities to the E.coli MutS, there is significant diversity of function among the MutS family members. This diversity is even seen within species; many species encode multiple MutS homologs with distinct functions. To better characterize the MutS protein family, I have used a combination of phylogenetic reconstructions and analysis of complete genome sequences. This phylogenomic analysis is used to infer the evolutionary relationships among the MutS family members and to divide the family into subfamilies of orthologs. Analysis of the distribution of these orthologs in particular species and examination of the relationships within and between subfamilies is used to identify likely evolutionary events (e.g. gene duplications, lateral transfer and gene loss) in the history of the MutS family. In particular, evidence is presented that a gene duplication early in the evolution of life resulted in two main MutS lineages, one including proteins known to function in mismatch repair and the other including proteins known to function in chromosome segregation and crossing-over. The inferred evolutionary history of the MutS family is used to make predictions about some of the uncharacterized genes and species included in the analysis. For example, since function is generally conserved within subfamilies and lineages, it is proposed that the function of uncharacterized proteins can be predicted by their position in the MutS family tree. The uses of phylogenomic approaches to the study of genes and genomes are discussed.

Adenosine Triphosphatases↗

A phylogenomic investigation of CYCLOIDEA-like TCP genes in the Leguminosae.

Numerous TCP genes (transcription factors with a TCP domain) occur in legumes. Genes of this class in Arabidopsis (TCP1) and snapdragon (Antirrhinum majus; CYCLOIDEA) have been shown to be asymmetrically expressed in developing floral primordia, and in snapdragon, they are required for floral zygomorphy (bilaterally symmetrical flowers). These genes are therefore particularly interesting in Leguminosae, a family that is thought to have evolved zygomorphy independently from other zygomorphic angiosperm lineages. Using a phylogenomic approach, we show that homologs of TCP1/CYCLOIDEA occur in legumes and may be divided into two main classes (LEGCYC group I and II), apparently the result of an early duplication, and each class is characterized by a typical amino acid signature in the TCP domain. Furthermore, group I genes in legumes may be divided into two subclasses (LEGCYC IA and IB), apparently the result of a duplication near the base of the papilionoid legumes or below. Most papilionoid legumes investigated have all three genes present (LEGCYC IA, IB, and II), inviting further work to investigate possible functional difference between the three types. However, within these three major gene groups, the precise relationships of the paralogs between species are difficult to determine probably because of a complex history of duplication and loss with lineage sorting or heterotachy (within-site rate variation) due to functional differentiation. The results illustrate both the potential and the difficulties of orthology determination in variable gene families, on which the phylogenomic approach to formulating hypotheses of function depends.

Amino Acid Sequence↗

Phylogenomic evidence provides insights into the phylogeny and speciation patterns in the subgenus Caloscordum (Allium, Amaryllidaceae).

Phylogenomics with abundant informative sites offers a powerful means for elucidating complex diversification history. Here, we collected 22 samples from 18 populations representing all species of subgenus Caloscordum (Allium). Using transcriptome and whole-genome resequencing data, we generated 1755 low-copy nuclear genes and 81 plastid genes. By integrating morphological and phylogenomic evidence, we clarified the subgenus's complex evolutionary histories and speciation patterns. A total of 18 morphological characteristics were analysed, with a taxonomic framework established. Our analyses resolved robust species relationships despite detecting extensive phylogenetic discordances, which were attributed to incomplete lineage sorting (ILS) and hybridization. Specifically, our results suggest that A. inutile originated via rapid budding speciation from the widespread A. tubiflorum. This process likely coincided with mid-Pleistocene glacial-interglacial cycles and may have been reinforced by geographic isolation and ecological adaptation. In contrast, the sole tetraploid species, A. peikingense, was confirmed to be of hybrid origin, derived from A. neriniflorum and A. tubiflorum. This allopolyploidization event appears to have been facilitated by secondary contact between the parent species, which was likely associated with climatic oscillations within the 35° N-45° N arid belt. Overall, our findings elucidate the intricate speciation patterns within Caloscordum and highlight how the interplay of polyploidization, ecological isolation, and tectonic uplift-driven aridification has shaped plant diversity in East Asia.

Phylogeny↗

RIO: analyzing proteomes by automated phylogenomics using resampled inference of orthologs.

BACKGROUND: When analyzing protein sequences using sequence similarity searches, orthologous sequences (that diverged by speciation) are more reliable predictors of a new protein's function than paralogous sequences (that diverged by gene duplication). The utility of phylogenetic information in high-throughput genome annotation ("phylogenomics") is widely recognized, but existing approaches are either manual or not explicitly based on phylogenetic trees. RESULTS: Here we present RIO (Resampled Inference of Orthologs), a procedure for automated phylogenomics using explicit phylogenetic inference. RIO analyses are performed over bootstrap resampled phylogenetic trees to estimate the reliability of orthology assignments. We also introduce supplementary concepts that are helpful for functional inference. RIO has been implemented as Perl pipeline connecting several C and Java programs. It is available at http://www.genetics.wustl.edu/eddy/forester/. A web server is at http://www.rio.wustl.edu/. RIO was tested on the Arabidopsis thaliana and Caenorhabditis elegans proteomes. CONCLUSION: The RIO procedure is particularly useful for the automated detection of first representatives of novel protein subfamilies. We also describe how some orthologies can be misleading for functional inference.

Animals↗

PhyloFacts: an online structural phylogenomic encyclopedia for protein functional and structural classification.

The Berkeley Phylogenomics Group presents PhyloFacts, a structural phylogenomic encyclopedia containing almost 10,000 'books' for protein families and domains, with pre-calculated structural, functional and evolutionary analyses. PhyloFacts enables biologists to avoid the systematic errors associated with function prediction by homology through the integration of a variety of experimental data and bioinformatics methods in an evolutionary framework. Users can submit sequences for classification to families and functional subfamilies. PhyloFacts is available as a worldwide web resource from http://phylogenomics.berkeley.edu/phylofacts.

Animals↗

[Phylogenomics--an attractive avenue to reconstruct "tree of life"].

The successive start-up of genome project in recent years has far-reaching impact on present phylogenetic studies. A new synthesized discipline--"Phylogenomics", combing genomics with phylogenetics together, is emerging, and becomes an attractive avenue to reconstruct "Tree of Life". In the review, the conception and analytic method of phylogenomics are summarized. The potential problems are also suggested.

Animals↗

Protein molecular function prediction by Bayesian phylogenomics.

We present a statistical graphical model to infer specific molecular function for unannotated protein sequences using homology. Based on phylogenomic principles, SIFTER (Statistical Inference of Function Through Evolutionary Relationships) accurately predicts molecular function for members of a protein family given a reconciled phylogeny and available function annotations, even when the data are sparse or noisy. Our method produced specific and consistent molecular function predictions across 100 Pfam families in comparison to the Gene Ontology annotation database, BLAST, GOtcha, and Orthostrapper. We performed a more detailed exploration of functional predictions on the adenosine-5'-monophosphate/adenosine deaminase family and the lactate/malate dehydrogenase family, in the former case comparing the predictions against a gold standard set of published functional characterizations. Given function annotations for 3% of the proteins in the deaminase family, SIFTER achieves 96% accuracy in predicting molecular function for experimentally characterized proteins as reported in the literature. The accuracy of SIFTER on this dataset is a significant improvement over other currently available methods such as BLAST (75%), GeneQuiz (64%), GOtcha (89%), and Orthostrapper (11%). We also experimentally characterized the adenosine deaminase from Plasmodium falciparum, confirming SIFTER's prediction. The results illustrate the predictive power of exploiting a statistical model of function evolution in phylogenomic problems. A software implementation of SIFTER is available from the authors.

Adenosine Deaminase↗

Bayesian decomposition analysis of bacterial phylogenomic profiles.

BACKGROUND: The past two decades have seen the appearance of new infectious diseases and the reemergence of old diseases previously thought to be under control. At the same time, the effectiveness of the existing antibacterials is rapidly decreasing due to the spread of multidrug-resistant pathogens. AIM: The aim of this study was to the identify candidate molecular targets (e.g. enzymes) within essential metabolic pathways specific to a significant subset of bacterial pathogens as the first step in the rational design of new antibacterial drugs. METHODS: We constructed a dataset of phylogenomic profiles (vectors that encode the similarity, measured by BLAST scores, of a gene across many species) for a series of 31 pathogenic bacteria of interest with 1073 genes taken from the reference organisms Escherichia coli and Mycobacterium tuberculosis. We applied Bayesian Decomposition, a matrix decomposition algorithm, to identify functional metabolic units comprising overlapping sets of genes in this dataset. RESULTS: Although no information on phylogeny was provided to the system, Bayesian Decomposition retrieved the known bacteria phylogenic relationships on the basis of the proteins necessary for survival. In addition, a set of genes required by all bacteria was identified, as well as components and enzymes specific to subsets of bacteria. CONCLUSION: The use of phylogenomic profiles and Bayesian Decomposition provide important insights for the design of new antibacterial therapeutics.

Algorithms↗

Cross-Kingdom Genomic Conservation of Putative Human Sleep-Related Genes: Phylogenomic Evidence From Chlamydomonas reinhardtii.

Sleep is a widespread and evolutionarily conserved process observed in diverse organisms, from jellyfish to mammals, hinting at its origin as a life-supporting mechanism over 500 million years ago. Although its fundamental purpose and mechanisms remain unclear, sleep's evolution and adaptive significance continue to be debated. This study explores the evolutionary origins of sleep using Chlamydomonas reinhardtii as a model organism, identifying 112 putative sleep-related genes across species and highlighting the evolutionary conservation of sleep-regulatory pathways. Additionally, discovering uncharacterized proteins with high sequence similarity and significant e-values suggests unexplored roles in sleep regulation, underscoring the potential of C. reinhardtii to reveal new insights into the molecular basis of sleep. This study provides a foundation for identifying previously unknown sleep-associated proteins, particularly within single-celled organisms, which may offer novel perspectives on the biological role of sleep. The study demonstrates that phylogenomic analysis of diverse model organisms can expand our understanding of the evolutionary trajectory of sleep and its fundamental function, paving the way for further research in sleep biology and its health implications. Overall, the fundamental functions of sleep observed in higher animal phyla originated from its primordial activities, demonstrating an evolutionary continuum wherein more specialized tasks were integrated with sleep's essential restorative properties.

Chlamydomonas reinhardtii↗

Phenotypic and phylogenomic characterization of Lactococcus garvieae isolates from rainbow trout (Oncorhynchus mykiss) in Türkiye.

Lactococcosis is an important bacterial disease of farmed fish and causes substantial economic losses in rainbow trout (Oncorhynchus mykiss) aquaculture. In this study, Lactococcus garvieae isolates recovered from rainbow trout farms in Türkiye were characterized using phenotypic, molecular, and phylogenomic methods. Among 32 presumptive Lactococcus isolates recovered from 127 dead rainbow trout, four were confirmed as L. garvieae and exhibited identical biochemical characteristics, Pulsed Field Gel Electrophoresis (PFGE) profiles, and broad growth tolerance across different pH, salinity, and temperature conditions. All isolates were presumptively classified as resistant to ciprofloxacin and florfenicol, while remaining susceptible to tetracycline and penicillin. Based on the AMR profiles, strain LG2, which exhibited the most susceptible antimicrobial profile among the isolates, was selected for whole-genome sequencing (WGS). WGS of the representative isolate LG2 generated a single 2,214,687-bp chromosomal contig with 38.5% GC content and 99.0% BUSCO completeness. In silico PCR assigned LG2 to serotype I, and the genome contained an intact capsule-associated cps/kps locus. The chromosomal lsa(D) determinant and an mdt(A)-like efflux-associated gene were detected, whereas no plasmid replicons or acquired quinolone or florfenicol resistance genes were identified, indicating discordance between the phenotypic and genomic AMR results. Taxonomic verification of 236 publicly available Lactococcus assemblies yielded 41 verified public L. garvieae genomes, which, together with LG2, formed a 42-genome within-species dataset. LG2 was most closely related to the Turkish isolate OS-37, sharing 99.96% ANI and differing by three core SNPs; both belonged to ST109, whereas the other Turkish isolates belonged to ST139. cgMLST identified a conserved genomic backbone, while pan-genome analysis identified 5,655 gene clusters and an open pan-genome characterized by a large cloud-gene fraction. These findings demonstrate the importance of species verification in Lactococcus population genomics and reveal substantial accessory-genome diversity within L. garvieae. The genomic features of LG2 provide a basis for future pathogenicity and immunogenicity studies, although experimental validation is required. Overall, these findings highlight the importance of local genomic surveillance for understanding L. garvieae population structure and provide a genomic framework for future region-specific vaccine research.

Animals↗

Phylogenomic and Clinical Perspectives of an East Asia-Specific Cluster of Mycobacterium massiliense.

BACKGROUND: Mycobacterium abscessus subspecies massiliense (MAM) can form genetically related clusters through continuous within-host adaptations. RESEARCH QUESTION: What is the epidemiologic and clinical significance of the sequence type 120 (ST120) strain of MAM, an East Asia-specific cluster? STUDY DESIGN AND METHODS: Isolates were obtained from patients with MAM pulmonary disease at Seoul National University Hospital between October 1, 2019, and December 31, 2023. These isolates were analyzed using multilocus sequence typing and colony morphotyping and were evaluated for glycopeptidolipid biosynthesis-related gene deletions. Whole-genome sequencing was performed for phylogenomic and pangenome analyses, incorporating MAM genome data from public databases. Finally, the clinical course and treatment outcomes of patients infected with ST120 were evaluated. RESULTS: Among the isolates obtained from 136 patients, 50 isolates (36.8%) were classified as ST120. All ST120 isolates exhibited a rough colony morphotype and harbored deletions in glycopeptidolipid biosynthesis-related genes. From 796 global strains, ST120 was identified exclusively in the isolates obtained from South Korea (51/137 isolates [37.1%]), Japan (3/53 [5.7%]), and Taiwan (2/52 [3.8%]). Genomic analysis revealed the stepwise genetic evolution of ST120, suggesting transmission from Taiwan to Japan and from Japan to South Korea. The ST120 strains exhibited genetic mutations associated with virulence and structural alterations within the ESX system. Consequently, patients with ST120 strain infections had a higher prevalence of cavitary disease (23/50 [46%]) than those infected with non-ST120 strains (19/86 [22.1%]; P = .004). Among those who initiated treatment, the proportion of microbiological cure was lower in patients with ST120 infection (6/15 [40.0%]) than in those with non-ST120 infection (24/34 [70.6%]; P = .043). INTERPRETATION: Our results show that ST120, a strain predominantly found in South Korea, is characterized by the extensive loss of glycopeptidolipid biosynthesis-related genes and is associated with increased disease severity and worse treatment outcomes.

Humans↗

Characterisation of the chloroplast genome of Macrotyloma species: comparative analysis and phylogenomic insights.

Macrotyloma is an underutilised legume genus within the tribe Phaseoleae (Fabaceae) that includes nutritionally and agronomically important crops such as horse gram (Macrotyloma uniflorum) and Kersting's groundnut (Macrotyloma geocarpum). Despite their importance, knowledge of the chloroplast (cp.) genome of this genus remains limited. In this study, we assembled and analysed the complete chloroplast genomes of three Macrotyloma species: M. uniflorum, M. geocarpum, and M. axillare. The chloroplast genomes were assembled into two isoforms that differ in the orientation of the small single-copy (SSC) region. Genome sizes ranged from 150,811 to 151,013 bp and exhibited the canonical quadripartite structure, comprising a pair of inverted repeats (IRa and IRb; 26,416-26,436 bp each), a large single-copy region (LSC; 80,229-80,446 bp), and a small single-copy region (SSC; 17,710-17,711 bp). Each genome encoded 110 unique genes, including 4 rRNA genes, 30 tRNA genes, and 76 protein-coding genes. All three species also possessed the ~ 50 kb inversion in the LSC region, a synapomorphy shared among a large clade within the Papilionoideae subfamily of Fabaceae. Although overall chloroplast genome structure and organisation were highly conserved among Macrotyloma species, gene-wise nucleotide diversity analysis identified seven relatively variable genes: rps18, rps15, ccsA, ndhA, ycf1, ycf4, and psaI. Phylogenomic analysis based on complete chloroplast genomes robustly resolved Macrotyloma as a monophyletic group within the Phaseolinae clade of the Papilionoideae subfamily. Within the genus, M. uniflorum and M. axillare formed a strongly supported sister pair, with M. geocarpum sister to this clade. Overall, this study provides valuable insights into chloroplast genome evolution in Macrotyloma and enhances understanding of its phylogenetic placement within Phaseoleae, offering genomic resources for future evolutionary, taxonomic, and conservation studies of this underutilised legume genus.

Genome, Chloroplast↗

Phylogenomics reveals persistent gene-tree discordance in the Chenopodium album aggregate.

BACKGROUND AND AIMS: Complex genomic histories shaped by hybridisation and polyploidy can influence traits related to plant defence, stress tolerance and toxicity, particularly in Amaranthaceae, which includes crops such as quinoa and spinach. Within this family, white goosefoot (Chenopodium album), a widespread agricultural weed and traditional food resource, belongs to a diploid-polyploid aggregate with extensive phylogenetic discordance. Clarifying its evolutionary history provides context for interpreting ecologically and agronomically relevant trait variation across the aggregate. Building on the established genome-lineage framework, we tested whether discordance persists when constituent genome-lineage components are represented separately and whether the remaining signal is compatible with reticulate evolution. METHODS: We analysed 2,298 conserved nuclear BUSCO families across 27 assembly-level terminals using tree- and network-based approaches. Genome-lineage-aware analyses used 2,156 families after separating polyploid Chenopodium into A-H components, with Dysphania ambrosioides as outgroup. HyDe tested site-pattern asymmetry under global false-discovery-rate correction. KEY RESULTS: Assembly-level analyses grouped the Danish C. album aggregate accession Ca6-1 with hexaploid C. album sensu stricto dcCheAlbu1.1, whereas relationships among surrounding Chenopodium taxa were less stable. Genome-lineage-aware analyses recovered the expected B-, C- and D-affinity relationships, but substantial gene-family heterogeneity persisted. Reticulate network models fitted the assembly-level data better than bifurcating models, although inferred patterns differed between methods. HyDe detected significant site-pattern asymmetry in a small subset of loci, with most retained signal shared between the focal assemblies. CONCLUSIONS: Gene-tree discordance persists in the C. album aggregate after genome-lineage separation. The established genome-lineage framework captures the dominant phylogenomic structure, while residual heterogeneity is compatible with both tree-like and reticulate processes without identifying direct progenitors or a unique hybridisation history. This framework supports future analyses of lineage-specific and trait-associated loci related to plant defence, food quality and toxicity in C. album and related Amaranthaceae.

Chenopodium album↗

Resolving the "Yucca queretaroensis problem": Phylogenomic analysis of Yucca reveals the identity of an enigmatic species and the origin of an obligate pollination mutualism.

PREMISE: The genus Yucca is a group of ~50 species of woody monocots endemic to the North American arid regions. Their obligate pollination mutualism with yucca moths is considered a "textbook example" of coevolution and is hypothesized to have promoted rapid diversification. However, testing this hypothesis has been difficult due to uncertainty about the placement of a rogue taxon, Yucca queretaroensis, a rare endemic of the Sierra Gorda region of central Mexico. Past work placed this species in different positions within the Agavoideae, producing starkly different age estimates for Yucca (25 to 4 million years). METHODS: We generated new sequence capture data for 353 nuclear genes and for all coding regions of the plastid genome from wild-collected plants and samples included in previous studies to provide a new phylogeny and new age estimate for Yucca. RESULTS: The data presented here suggest that Y. queretaroensis is closely related to other species of Yucca. A relaxed molecular clock analysis of the plastid genome produced an estimated age for the genus of approximately 6.8 million years. CONCLUSIONS: The results resolve a mystery that has bedeviled evolutionary biologists for decades and provide a surprisingly young estimate for the age of Yucca, suggesting rapid diversification. The past difficulties in identifying the correct placement of Y. queretaroensis appear to be the product of laboratory errors, mistakes in field identification, and frequent hybridization with co-distributed taxa. The "Yucca queretaroensis problem" reaffirms the essential role for traditional botanical tools in phylogenomics.

ASTRAL↗

Phylogenomics of type II DNA topoisomerases.

Type II DNA topoisomerases (Topo II) are essential enzymes implicated in key nuclear processes. The recent discovery of a novel kind of Topo II (DNA topoisomerase VI) in Archaea led to a division of these enzymes into two non-homologous families, (Topo IIA and Topo IIB) and to the identification of the eukaryotic protein that initiates meiotic recombination, Spo11. In the present report, we have updated the distribution of all Topo II in the three domains of life by a phylogenomic approach. Both families exhibit an atypical distribution by comparison with other informational proteins, with predominance of Topo IIA in Bacteria, Eukarya and viruses, and Topo IIB in Archaea. However, plants and some Archaea contain Topo II from both families. We confront this atypical distribution with current hypotheses on the evolution of the three domains of life and origin of DNA genomes.

Animals↗