Archaea and the prokaryote-to-eukaryote transition.

Since the late 1970s, determining the phylogenetic relationships among the contemporary domains of life, the Archaea (archaebacteria), Bacteria (eubacteria), and Eucarya (eukaryotes), has been central to the study of early cellular evolution. The two salient issues surrounding the universal tree of life are whether all three domains are monophyletic (i.e., all equivalent in taxanomic rank) and where the root of the universal tree lies. Evaluation of the status of the Archaea has become key to answering these questions. This review considers our cumulative knowledge about the Archaea in relationship to the Bacteria and Eucarya. Particular attention is paid to the recent use of molecular phylogenetic approaches to reconstructing the tree of life. In this regard, the phylogenetic analyses of more than 60 proteins are reviewed and presented in the context of their participation in major biochemical pathways. Although many gene trees are incongruent, the majority do suggest a sisterhood between Archaea and Eucarya. Altering this general pattern of gene evolution are two kinds of potential interdomain gene transferrals. One horizontal gene exchange might have involved the gram-positive Bacteria and the Archaea, while the other might have occurred between proteobacteria and eukaryotes and might have been mediated by endosymbiosis.     

Monophyly of Rhizaria and multigene phylogeny of unicellular bikonts

Reconstructing a global phylogeny of eukaryotes is an ongoing challenge of molecular phylogenetics. The availability of genomic data from a broad range of eukaryotic phyla helped in resolving the eukaryotic tree into a topology with a rather small number of large assemblages, but the relationships between these "supergroups" are yet to be confirmed. Rhizaria is the most recently recognized "supergroup," but, in spite of this important position within the tree of life, their representatives are still missing in global phylogenies of eukaryotes. Here, we report the first large-scale analysis of eukaryote phylogeny including data for 2 rhizarian species, the foraminiferan Reticulomyxa filosa and the chlorarachniophyte Bigelowiella natans. Our results confirm the monophyly of Rhizaria (Foraminifera + Cercozoa), with very high bootstrap supports in all analyses. The overall topology of our trees is in agreement with the current view of eukaryote phylogeny with basal division into "unikonts" (Opisthokonts and Ameobozoa) and "bikonts" (Plantae, alveolates, stramenopiles, and excavates). As expected, Rhizaria branch among bikonts; however, their phylogenetic position is uncertain. Depending on the data set and the type of analysis, Rhizaria branch as sister group to either stramenopiles or excavates. Overall, the relationships between the major groups of unicellular bikonts are poorly resolved, despite the use of 85 proteins and the largest taxonomic sampling for this part of the tree available to date. This may be due to an acceleration of evolutionary rates in some bikont phyla or be related to their rapid diversification in the early evolution of eukaryotes.     

PhyloFisher: A phylogenomic package for resolving eukaryotic relationships

Phylogenomic analyses of hundreds of protein-coding genes aimed at resolving phylogenetic relationships is now a common practice. However, no software currently exists that includes tools for dataset construction and subsequent analysis with diverse validation strategies to assess robustness. Furthermore, there are no publicly available high-quality curated databases designed to assess deep (>100 million years) relationships in the tree of eukaryotes. To address these issues, we developed an easy-to-use software package, PhyloFisher (https://github.com/TheBrownLab/PhyloFisher), written in Python 3. PhyloFisher includes a manually curated database of 240 protein-coding genes from 304 eukaryotic taxa covering known eukaryotic diversity, a novel tool for ortholog selection, and utilities that will perform diverse analyses required by state-of-the-art phylogenomic investigations. Through phylogenetic reconstructions of the tree of eukaryotes and of the Saccharomycetaceae clade of budding yeasts, we demonstrate the utility of the PhyloFisher workflow and the provided starting database to address phylogenetic questions across a large range of evolutionary time points for diverse groups of organisms. We also demonstrate that undetected paralogy can remain in phylogenomic “single-copy orthogroup” datasets constructed using widely accepted methods such as all vs. all BLAST searches followed by Markov Cluster Algorithm (MCL) clustering and application of automated tree pruning algorithms. Finally, we show how the PhyloFisher workflow helps detect inadvertent paralog inclusions, allowing the user to make more informed decisions regarding orthology assignments, leading to a more accurate final dataset.

Phylogenomic analyses of hundreds of protein-coding genes aimed at resolving phylogenetic relationships is now a common practice. This article presents PhyloFisher, a community-driven tool for phylogenomic dataset construction to infer deep and shallow phylogenetic relationships among eukaryotes.     

Accounting for evolutionary rate variation among sequence sites consistently changes universal phylogenies deduced from rRNA and protein-coding genes.

Phylogenetic analyses of gene and protein sequences have led to two major competing views of the universal phylogeny, the evolutionary tree relating the three kinds of living organisms, Bacteria, Archaea, and Eukarya. In the first scheme, called "the archaebacterial tree, " organisms of the same type are clustered together. In the second scenario, called "the eocyte tree," the archaeal phylum of Crenarchaeota is more closely related to eukaryotes than are other Archaea. A major property of the evolution of functional ribosomal and protein-encoding genes is that the rate of nucleotide and amino acid substitution varies across sequence sites. Here, using distance-based and maximum-likelihood methods, we show that universal phylogenies of ribosomal RNAs and RNA polymerases built by ignoring this variation are biased toward the archaebacterial tree because of attraction between long branches. In contrast, taking among-site rate variability into account gives support for the eocyte tree.     

真核生物系统发育和多样性概观

Our understanding of eukaryote biology is dominated by the study of land plants, animals and fungi. However, these are only three isolated fragments of the full diversity of extant eukaryotes. The majority of eukaryotes, in terms of major taxa and probably also sheer numbers of cells, consists of exclusively or predominantly unicellular lineages. A surprising number of these lineages are poorly characterized. Nonetheless, they are fundamental to our understanding of eukaryote biology and the underlying forces that shaped it. This article consists of an overview of the current state of our understanding of the eukaryote tree. This includes the identity of the major groups of eukaryotes, some of their important, defining or simply interesting features and the proposed relationships of these groups to each other.     

A congruent phylogenomic signal places eukaryotes within the Archaea

Determining the relationships among the major groups of cellular life is important for understanding the evolution of biological diversity, but is difficult given the enormous time spans involved. In the textbook ‘three domains’ tree based on informational genes, eukaryotes and Archaea share a common ancestor to the exclusion of Bacteria. However, some phylogenetic analyses of the same data have placed eukaryotes within the Archaea, as the nearest relatives of different archaeal lineages. We compared the support for these competing hypotheses using sophisticated phylogenetic methods and an improved sampling of archaeal biodiversity. We also employed both new and existing tests of phylogenetic congruence to explore the level of uncertainty and conflict in the data. Our analyses suggested that much of the observed incongruence is weakly supported or associated with poorly fitting evolutionary models. All of our phylogenetic analyses, whether on small subunit and large subunit ribosomal RNA or concatenated protein-coding genes, recovered a monophyletic group containing eukaryotes and the TACK archaeal superphylum comprising the Thaumarchaeota, Aigarchaeota, Crenarchaeota and Korarchaeota. Hence, while our results provide no support for the iconic three-domain tree of life, they are consistent with an extended eocyte hypothesis whereby vital components of the eukaryotic nuclear lineage originated from within the archaeal radiation.     

Eukaryotic origins

The origin of the eukaryotes is a fundamental scientific question that for over 30 years has generated a spirited debate between the competing Archaea (or three domains) tree and the eocyte tree. As eukaryotes ourselves, humans have a personal interest in our origins. Eukaryotes contain their defining organelle, the nucleus, after which they are named. They have a complex evolutionary history, over time acquiring multiple organelles, including mitochondria, chloroplasts, smooth and rough endoplasmic reticula, and other organelles all of which may hint at their origins. It is the evolutionary history of the nucleus and their other organelles that have intrigued molecular evolutionists, myself included, for the past 30 years and which continues to hold our interest as increasingly compelling evidence favours the eocyte tree. As with any orthodoxy, it takes time to embrace new concepts and techniques.     

Early branching eukaryotes?

Recent phylogenetic analyses suggest that Giardia, Trichomonas and Microsporidia contain genes of mitochondrial origin and are thus unlikely to be primitively amitochondriate as previously thought. Furthermore, phylogenetic analyses of multiple data sets suggest that Microsporidia are related to Fungi rather than being deep branching as depicted in trees based upon SSUrRNA analyses. There is also room for doubt, on the basis of a lack of consistent support from analyses of other genes, whether Giardia or Trichomonas branch before other eukaryotes. So, at present, we cannot be sure which eukaryotes are descendants of the earliest-branching organisms in the eukaryote tree. Future resolution of the order of emergence of eukaryotes will depend upon a more critical phylogenetic analysis of new and existing data than hitherto. Hypotheses of branching order should preferably be based upon congruence between independent data sets, rather than on single gene trees.     

New substitution models for rooting phylogenetic trees

The root of a phylogenetic tree is fundamental to its biological interpretation, but standard substitution models do not provide any information on its position. Here, we describe two recently developed models that relax the usual assumptions of stationarity and reversibility, thereby facilitating root inference without the need for an outgroup. We compare the performance of these models on a classic test case for phylogenetic methods, before considering two highly topical questions in evolutionary biology: the deep structure of the tree of life and the root of the archaeal radiation. We show that all three alignments contain meaningful rooting information that can be harnessed by these new models, thus complementing and extending previous work based on outgroup rooting. In particular, our analyses exclude the root of the tree of life from the eukaryotes or Archaea, placing it on the bacterial stem or within the Bacteria. They also exclude the root of the archaeal radiation from several major clades, consistent with analyses using other rooting methods. Overall, our results demonstrate the utility of non-reversible and non-stationary models for rooting phylogenetic trees, and identify areas where further progress can be made.     

Phylogenetic inference using discrete characters: performance of ordered and unordered parsimony and of three‐item statements

The cladistic literature does not always specify the kind of multistate character treatment that is applied for an analysis. Characters can be treated either as unordered transformation series or as rooted [three‐item analysis (3ia)] or unrooted state trees (ordered characters). We aimed to measure the impact of these character treatments on phylogenetic inference. Discrete characters can be represented either as rows or columns in matrices (e.g. for parsimony) or as hierarchies for 3ia. In the present study, we use simulated and empirical examples to assess the relative merits of each method considering both the character treatment and representation. We measure two parameters (resolving power and artefactual resolution) using a new tree comparison metric, ITRI (inter‐tree retention index). Our results suggest that the hierarchical character representation not only results (with our simulation settings) in the greatest resolving power, but also in the highest artefactual resolution. Our empirical examples provide equivocal results. Parsimony unordered states yield less resolving power and more artefactual resolutions than parsimony ordered states, both with our simulated and empirical data. Relationships between three operational taxonomic units (OTUs), irrespective of their relationships with other OTUs, are called three‐item statements (3is). We compare the intersection tree (which reconstructs a single tree from all of the common 3is of source trees) with the traditional strict consensus and show that the intersection tree retains more of the information contained in the source trees. © 2013 The Linnean Society of London, Biological Journal of the Linnean Society, 2013, 110 , 914–930.     

The Origin of Eukaryotes Is Suggested as the Symbiosis of Pyrococcus into γ-Proteobacteria by Phylogenetic Tree Based on Gene Content

Attempts were made to define the relationship among the three domains (eukaryotes, archaea, and eubacteria) using phylogenetic tree analyses of 16S rRNA sequences as well as of other protein sequences. Since the results are inconsistent, it is implied that the eukaryotic genome has a chimeric structure. In our previous studies, the origin of eukaryotes to be the symbiosis of archaea into eubacteria using the whole open reading frames (ORF) of many genomes was suggested. In these studies, the species participating in the symbiosis were not clarified, and the effect of gene duplication after speciation (in-paralog) was not addressed. To avoid the influence of the in-paralog, we developed a new method to calculate orthologous ORFs. Furthermore, we separated eukaryotic in-paralogs into three groups by sequence similarity to archaea, eubacteria (other than -proteobacteria), and -proteobacteria and treated them as individual organisms. The relationship between the three ORF groups and the functional classification was clarified by this analysis. The introduction of this new method into the phylogenetic tree analysis of 66 organisms (4 eukaryotes, 13 archaea, and 49 eubacteria) based on gene content suggests the symbiosis of pyrococcus into -proteobacteria as the origin of eukaryotes.     

核糖体蛋白RPL15 cDNA序列在真骨鱼类系统进化研究中的价值 &

应用RT-PCR, 从真骨总目（Teleostei）5目15种鱼类中首次克隆了核糖体大亚基蛋白L15 (RPL15, ribosomal protein L15) 的完整cDNA序列。以海鲢形亚组（Elopomorpha）的鳗鲡作为外类群, 对这些真骨鱼类的核糖体蛋白L15 cDNA序列进行了系统发育分析, 结果表明: (1)RPL15基因在真骨鱼类等许多真核生物进化中高度保守; (2)系统树中各物种之间的关系与形态分类一致。RPL15编码区适合于真骨鱼类目以上分类阶元的分子系统学研究。      

Interordinal relationships of birds and other reptiles based on whole mitochondrial genomes

Several different groups of birds have been proposed as being the oldest or earliest diverging extant lineage within the avian phylogenetic tree, particularly ratites (Struthioniformes), waterfowl (Anseriformes), and shorebirds (Charadriiformes). Difficulty in resolving this issue stems from several factors, including the relatively rapid radiation of primary (ordinal) bird lineages and the lack of characters from an extant outgroup for birds that is closely related to them by measure of time. To help resolve this question, we have sequenced entire mitochondrial genomes for five birds (a rhea, a duck, a falcon, and two perching birds), one crocodilian, and one turtle. Maximum parsimony and maximum likelihood analyses of these new sequences together with published sequences (18 taxa total) yield the same optimal tree topology, in which a perching bird (Passeriformes) is sister to all the other bird taxa. A basal position for waterfowl among the bird study taxa is rejected by maximum likelihood analyses. However, neither the conventional view, in which ratites (including rhea) are basal to other birds, nor tree topologies with falcon or chicken basal among birds could be rejected in the same manner. In likelihood analyses of a subset of seven birds, alligator, and turtle (9 taxa total), we find that increasing the number of parameters in the model shifts the optimal topology from one with a perching bird basal among birds to the conventional view with ratites diverging basally; moreover, likelihood scores for the two trees are not significantly different. Thus, although our largest set of taxa and characters supports a tree with perching birds diverging basally among birds, the position of this earliest divergence among birds appears unstable. Our analyses indicate a sister relationship between a waterfowl/chicken clade and ratites, relative to perching birds and falcon. We find support for a sister relationship between turtles and a bird/crocodilian clade, and for rejecting both the Haemothermia hypothesis (birds and mammals as sister taxa) and the placement of turtles as basal within the phylogenetic tree for amniote animals.     

Origin and early evolution of eukaryotes inferred from the amino acid sequences of translation elongation factors 1α/Tu and 2/G

Phylogenetic placements of archaebacteria and protozoa are important in understanding the origin and early evolution of eukaryotes. These problems have been analyzed mainly by comparisons of small subunit ribosomal RNA (SrRNA) sequences. However, the SrRNA phylogeny may sometimes be unreliable, especially when base compositions are biased among species. Because it is difficult to take full account of the bias in inferring the SrRNA tree, alternative examinations using protein sequence data have been very much desired. We analyzed the phylogenetic relationship among eukaryotes, archaebacteria, and eubacteria by the ML method of protein phylogeny using amino acid sequence data of EF-1α/Tu and 2/G. The unrooted tree analyses of both the EF-1α/Tu and 2/G consistently demonstrated that the ‘eocyte’ tree, in which archaebacteria are not monophyletic but eocytes are closer to eukaryotes than to other archaebacteria, is very likely. Further analysis using a composite tree of EF-1α/Tu and 2/G suggested that archaebacteria are closer to eukaryotes than to eubacteria but are not monophyletic. These results clearly support the hypothesis that eukaryotes have evolved from the eocyte-like organism. We also analyzed a protozoan phylogeny including mitochondrion-lacking species by the ML method using EF-1α and EF-2 data sets, and demonstrated (a) that two mitochondrion-lacking species, G. plecoglossi (Microsporidians) and G. lamblia (Diplomonads) probably represent the first and the second earliest offshoots of eukaryotes, respectively; (b) that Trypanosoma is not likely to have diverged next to Giardia as suggested by the SrRNA tree, but shows high affinity with higher eukaryotes; and (c) that protein phylogeny would give a robust estimation because amino acid compositions of conservative proteins do not differ significantly among species.     

Structure-based phylogeny of polyene macrolide antibiotic glycosyltransferases

Antibiotic glycosyltransferases (AGts) attach unusual deoxy-sugars to aglycons so antibiotics can exert function. It has been reported that polyene macrolide (PEM) AGts have different evolutionary origin when compared with other polyketide AGts, and our previous analysis have suggested that they could be results of horizontal gene transfer (HGT) from eukaryotes. In this paper, we compared the structures of PEM AGts with structures of eukaryotes and other AGts, and then built models of the representative PEM AGts and GT-1 glycosyltransferases. We also constructed the Neighbor-Joining (NJ) trees based on the normalized Root Mean Square (RMS) distance, the Bayesian tree guided by structural alignments, and carried out analysis on several key conserved residues in PEM AGts. The NJ tree showed a close relationship between PEM AGts and eukaryotic glycosyltransferases, and Bayesian tree further supported their affinity with UDP-glucuronosyltransferases (UGTs). Analysis on key conserved residues showed that PEM AGts may have similar interaction mechanism such as in the formation of hydrogen bonds as eukaryotic glycosyltransferases. Using structure-based phylogenetic approaches, this study further supported that PEM AGts were the result of HGT between prokaryotes and eukaryotes.     

Evaluating support for the current classification of eukaryotic diversity

Perspectives on the classification of eukaryotic diversity have changed rapidly in recent years, as the four eukaryotic groups within the five-kingdom classification--plants, animals, fungi, and protists--have been transformed through numerous permutations into the current system of six "supergroups." The intent of the supergroup classification system is to unite microbial and macroscopic eukaryotes based on phylogenetic inference. This supergroup approach is increasing in popularity in the literature and is appearing in introductory biology textbooks. We evaluate the stability and support for the current six-supergroup classification of eukaryotes based on molecular genealogies. We assess three aspects of each supergroup: (1) the stability of its taxonomy, (2) the support for monophyly (single evolutionary origin) in molecular analyses targeting a supergroup, and (3) the support for monophyly when a supergroup is included as an out-group in phylogenetic studies targeting other taxa. Our analysis demonstrates that supergroup taxonomies are unstable and that support for groups varies tremendously, indicating that the current classification scheme of eukaryotes is likely premature. We highlight several trends contributing to the instability and discuss the requirements for establishing robust clades within the eukaryotic tree of life.     

The primary divisions of life: a phylogenomic approach employing composition-heterogeneous methods

The three-domains tree, which depicts eukaryotes and archaebacteria as monophyletic sister groups, is the dominant model for early eukaryotic evolution. By contrast, the ‘eocyte hypothesis’, where eukaryotes are proposed to have originated from within the archaebacteria as sister to the Crenarchaeota (also called the eocytes), has been largely neglected in the literature. We have investigated support for these two competing hypotheses from molecular sequence data using methods that attempt to accommodate the across-site compositional heterogeneity and across-tree compositional and rate matrix heterogeneity that are manifest features of these data. When ribosomal RNA genes were analysed using standard methods that do not adequately model these kinds of heterogeneity, the three-domains tree was supported. However, this support was eroded or lost when composition-heterogeneous models were used, with concomitant increase in support for the eocyte tree for eukaryotic origins. Analysis of combined amino acid sequences from 41 protein-coding genes supported the eocyte tree, whether or not composition-heterogeneous models were used. The possible effects of substitutional saturation of our data were examined using simulation; these results suggested that saturation is delayed by among-site rate variation in the sequences, and that phylogenetic signal for ancient relationships is plausibly present in these data.     

Support,Ribosomal Sequences and the Phylogeny Of The Eukaryotes

Sequences of the small subunit (SSU) ribosomal RNA are considered useful for reconstructing the tree of life because this molecule is found in all organisms and is large enough not to have become saturated with multiple mutations. However, these data sets are large, difficult to align, and have extreme biases in base compositions which makes their phylogenetic signal ambiguous. Large ambiguous data sets may have many most-parsimonious trees, and finding them all may be impossible using convential phylogenetic methods. To examine the reliability of the number and relationships of eukaryotic kingdoms proposed by previous analyses of the SSU, we calculated trees from aligned sequences from eukaryotes in the Ribosomal Database Project using parsimony jackknifing which uses a resampling procedure to rapidly search large data sets for the branches that are strongly supported and eliminates poorly supported groups. Two separate analyses were carried out: an analysis in which all bases were equally weighted, and one in which transversions only were used. The parsimony jackknife procedure was able to efficiently find trees in which most major groups of eukaryotes were supported and in which some evolutionary hypotheses proposed by previous workers were tested. The relationships of these major groups to each other were largely unresolved, indicating that the SSU data, as represented in this database, is insufficient for answering questions about these deep branches. Interestingly, the analysis of transitions differs from the results of the entire data set, primarily being less resolved. This indicates that transversional mutations are important contributors to the resolved structure of the tree.     

Turning the crown upside down: gene tree parsimony roots the eukaryotic tree of life

The first analyses of gene sequence data indicated that the eukaryotic tree of life consisted of a long stem of microbial groups "topped" by a crown-containing plants, animals, and fungi and their microbial relatives. Although more recent multigene concatenated analyses have refined the relationships among the many branches of eukaryotes, the root of the eukaryotic tree of life has remained elusive. Inferring the root of extant eukaryotes is challenging because of the age of the group (～1.7-2.1 billion years old), tremendous heterogeneity in rates of evolution among lineages, and lack of obvious outgroups for many genes. Here, we reconstruct a rooted phylogeny of extant eukaryotes based on minimizing the number of duplications and losses among a collection of gene trees. This approach does not require outgroup sequences or assumptions of orthology among sequences. We also explore the impact of taxon and gene sampling and assess support for alternative hypotheses for the root. Using 20 gene trees from 84 diverse eukaryotic lineages, this approach recovers robust eukaryotic clades and reveals evidence for a eukaryotic root that lies between the Opisthokonta (animals, fungi and their microbial relatives) and all remaining eukaryotes.     

Genomic analyses and the origin of the eukaryotes

The availability of whole-genome data has created the extraordinary opportunity to reconstruct in fine details the 'tree of life'. The application of such comprehensive effort promises to unravel the enigmatic evolutionary relationships between prokaryotes and eukaryotes. Traditionally, biologists have represented the evolutionary relationships of all organisms by a bifurcating phylogenetic tree. But recent analyses of completely sequenced genomes using conditioned reconstruction (CR), a newly developed gene-content algorithm, suggest that a cycle graph or 'ring' rather than a 'tree' is a better representation of the evolutionary relationships between prokaryotes and eukaryotes. CR is the first phylogenetic-reconstruction method to provide precise evidence about the origin of the eukaryotes. This review summarizes how the CR analyses of complete genomes provide evidence for a fusion origin of the eukaryotes.