The recent rise in cultivation-independent genome sequencing has provided key material to explore uncharted branches of the Tree of Life. This has been particularly spectacular concerning the Archaea, projecting them at the center stage as prominently relevant to understand early stages in evolution and the emergence of fundamental metabolisms as well as the origin of eukaryotes. Yet, resolving deep divergences remains a challenging task due to well-known tree-reconstruction artefacts and biases in extracting robust ancient phylogenetic signal, notably when analyzing data sets including the three Domains of Life. Among the various strategies aimed at mitigating these problems, divide-and-conquer approaches remain poorly explored, and have been primarily based on reconciliation among single gene trees which however notoriously lack ancient phylogenetic signal.
We analyzed sub-sets of full supermatrices covering the whole Tree of Life with specific taxonomic sampling to robustly resolve different parts of the archaeal phylogeny in light of their current diversity. Our results strongly support the existence and early emergence of two main clades, Cluster I and Cluster II, which we name Ouranosarchaea and Gaiarchaea, and we clarify the placement of important novel archaeal lineages within these two clades. However, the monophyly and branching of the fast evolving nanosized DPANN members remains unclear and worth of further study.
We inferred a well resolved rooted phylogeny of the Archaea that includes all recently described phyla of high taxonomic rank. This phylogeny represents a valuable reference to study the evolutionary events associated to the early steps of the diversification of the archaeal domain. Beyond the specifics of archaeal phylogeny, our results demonstrate the power of divide-and-conquer approaches to resolve deep phylogenetic relationships, which should be applied to progressively resolve the entire Tree of Life.
The recent rise in cultivation-independent genome sequencing has provided key material to explore the so-called 'microbial dark matter' and led to the discovery of a myriad of new major bacterial and archaeal lineages with unexpected metabolic and ecological features [1,2,3,4]. This has profoundly changed our understanding of microbial biodiversity and challenged established scenarios for the emergence of present-day lineages.
Overlooked for a long time, the Archaea have gained a central place in the Tree of Life [5,6,7]. Not only are they at the origin of important metabolisms such as methanogenesis, but it is now largely accepted that they are at the origin of Eucarya . In particular, phylogenetic analyses of recently obtained genomes has identified the Asgard archaea as the closest relatives of Eucarya, consistently with their enrichment in Eukaryote Signature Proteins (ESP) [8,9,10,11]. However, resolving the deepest divergences in the Tree of Life is a very challenging task. Most recent studies aiming at reconstructing Domain-level phylogenies of the Archaea have relied on phylogenetic analyses of large supermatrices of universal genes [1, 6, 10,11,12,13,14,15,16,17,18,19,20,21,22]. Supermatrices are very efficient because they combine the weak phylogenetic signal contained in single genes. However, they are also very sensitive to systematic biases, among which the most frequently encountered are those resulting from substitutional biases, multiple substitutions occurring at the same sites, and across-sites evolutionary rate variations [23, 24]. Systematic biases can mask the historical phylogenetic signal and lead to incorrect inferences . The choice of methods specifically designed to overcome these issues, such as the recoding of amino acids, the removal of the fastest-evolving sites and/or species, and the use of sophisticated models of sequence evolution (e.g., site or branch heterogeneous), have disclosed several major tree reconstruction artefacts affecting the deep phylogeny of the archaeal domain. For instance, Methanopyrus kandleri has been shown to be a member of the Methanomada super-class and not an early diverging lineage . More recently, the position of Halobacteria and Nanohaloarchaeota, two lineages of extreme halophilic archaea, has been clarified by showing that they emerged independently from two distinct methanogen Class II lineages , contradicting the hypothesis that Nanohaloarchaeota belong to the DPANN, a proposed deep-branching archaeal superphylum gathering fast-evolving nanosized archaea . Finally, it also revealed that Methanonatronarchaeia, a unique archaeal lineage of extremely halophilic, moderately thermophilic, methyl-reducing methanogens, proposed to represent evolutionary intermediates on the path from methanogens to extreme halophiles due to their supposed close relationships with Halobacteria , branch more deeply in the archaeal phylogeny and independently adapted to these environments [29, 30].
Besides the use of specific methods and models to overcome these systematic biases, divide-and-conquer strategies are also powerful approaches which nevertheless remain poorly explored. They rely on breaking the dataset into smaller subsets, inferring optimal trees for these subsets, and finally combining the resulting trees into a larger tree . Such strategies allow the use of larger taxonomic samplings and more markers, produce higher-quality alignments, and detect more easily tree reconstruction artifacts. For example, such an approach was applied to test the 2Domain versus 3Domain Tree of Life topology by separately analyzing datasets of concatenated protein supermatrices containing Archaea and Eucarya on one side, and Archaea and Bacteria on the other . Reconciling the unrooted Archaea / Eucarya and the rooted Archaea / Bacteria trees robustly placed Eucarya as the sister lineage of the TACK superphylum (no Asgard genomes were available at that time) and disclosed an unexpected root of the archaeal domain  that challenges the ‘traditional’ one located between Euryarchaeota and the TACK superphylum . Here, the deepest divergence occurred within Euryarchaeota and more precisely between two well-supported clades, which were named Cluster I and Cluster II . These results imply a reconsideration of the early evolution of the Archaea, and notably all inferences on their last common ancestor.
More recently, Williams and colleagues applied another two-step strategy . First, they inferred a robust unrooted phylogeny of Archaea using both supermatrices and supertrees. Then, they applied a probabilistic gene-species tree reconciliation model on 31,236 archaeal gene families that placed the root in-between the DPANN superphylum and a large clade encompassing all other archaea, this clade being further divided into the Euryarchaeota on the one hand and the TACK/Asgard groups on the other hand . This approach is interesting because it does not require the use of an outgroup, thus reducing the risk of tree reconstruction artefacts introduced by the long branch of Bacteria. Yet, the efficiency of reconciliation approaches relies strongly on the quality of single gene trees, and these often do not contain enough information to obtain firm statistical support for particular nodes, especially the most ancient. Single gene trees are also very sensitive to stochastic errors resulting from the relative short length of the multiple alignments  and do not allow to use the most sophisticated evolutionary models which necessitate large multiple alignments. Finally, these approaches rely upon gene-tree rooting techniques for reconciliation with species trees that could be strongly biased .
Over the past two years, the tree of Archaea has been considerably enriched by the discovery of new major archaeal lineages (e.g. the Altiarchaea, the Stygia, the Bathyarchaeota, the Theionarchaea, the Methanofastidosa, the Heimdallarchaeota, the Thorarchaeota, the Odinarchaeota, the Verstraetearchaeota), some of them representing early-diverging lineages (see [5, 6] and references therein). These taxa are important to understand the earliest steps of the diversification of the Archaea and the nature of the last common archaeal ancestor. Here, we evaluated the divide-and-conquer approach based on supermatrices by including these novel data. Our results firmly confirm a specific relationship between Eucarya and the Asgard, and strongly support the existence and ancient divergence between Cluster I and Cluster II.
A robust unrooted phylogeny of the Archaea
We retrieved homologues of the 81 protein families from the study by Raymann et al. (2015) from 435 archaeal proteomes representative of current archaeal diversity. Nine protein families presented complex evolutionary patterns combining multiple horizontal gene transfers (HGT), gene duplications, and gene losses, leading to the non-monophyly of known archaeal orders, and were therefore removed from further analysis. Finally, to avoid taxonomic bias, we selected 218 out of the 435 archaeal genomes by keeping at least three representatives for each archaeal order when possible and only one strain per species. The retaining 72 protein families were concatenated into a supermatrix gathering 16,006 amino acid positions (A supermatrix). The BI and ML analyses of the A supermatrix provided consistent and robust unrooted trees of the archaeal domain (Fig. 1, Additional file 1: Figs. S1 and S2). Notably, they recover a number of clades for which we proposed placeholder names [6, 26]. These names are not meant to identify taxonomic ranks but will help scientific communication about these clades. Remarkably, neither of the two trees recovered the monophyly of Euryarchaeota, but instead showed a clear distinction between Cluster I and Cluster II archaea. In fact, Methanomada (i.e., Methanopyri, Methanobacteria, and Methanococci) and Acherontia (Thermococci, Theionarchaea, and Methanofastidosa) are not monophyletic with other euryarchaeota (i.e., Diaforarchaea, Archaeoglobi, Methanonatronarchaeia, and Stenosarchaea) and branch with Cluster I lineages (Fig. 1).
A detailed comparison of supports for these clades and their relationships by the BI and ML analyses and the different supermatrices is presented in Fig. 2A. More precisely, all major lineages (orders, classes, superclasses, phyla, and superphyla) were strongly supported as well as their relationships (most posterior probabilities (PP) = 1 and bootstrap values (BV) > 90%) (green dots in Fig. 2A) in agreement with some recent reports [6, 9, 18]. Regarding Cluster I, both trees support the early emergence of Korarchaeota within the TACK superphylum, the clustering of Crenarchaeota with Verstraetarchaeota, the sisterhood of Bathyarchaeota with Thaumarchaeota and Aigarchaeota, and the branching of Stygia in the stem leading to the TACK and Asgard. Concerning the DPANN, both trees inferred a specific relationship with the Altiarchaea, as proposed elsewhere . Within Cluster II, both trees strongly support the close relationship between Halobacteria and Methanomicrobiales, while Methanocellales and Methanosarcinales formed two sister-lineages in agreement with a recent report . Furthermore, Methanonatronarchaeia branched in the stem of Methanotecta in agreement with two recent studies showing that Halobacteria and Methanonatronarchaeia do not represent two sister-lineages [29, 30], as initially proposed . Within DPANN, we have recovered placements consistent with previous works: (i) a basal branching of the Diapherotrites, (ii) the sistership of the Aenigmarchaeota and the Nanohaloarchaeota, and (iii) the grouping of the Pacearchaeota, the Woesearchaeota, and the Nanoarchaeota [31, 33]. The only areas of the archaeal tree that remain unresolved are the internal branching within Diaforarchaea, the base of Cluster I, and the relationships within the Asgard (light green and orange dots in Fig. 2A).
We investigated whether the relationships within Archaea are affected by tree-reconstruction artefacts by applying the desaturation method to the A supermatrix. The progressive removal of the fastest evolving sites did not reveal major changes in topology or branch support, even when excluding the DPANN (Fig. 2B, C and Additional file 1: Figs. S3 and S4). In particular, the monophyly of Euryarchaeota was never observed in these analyses due to the branching of Altiarchaea and/or DPANN between Cluster I and Cluster II (Fig. 2B and Additional file 1: Fig. S3) or within Cluster I, as the sister-lineage of Methanomada (purple stars, Fig. 2C and Additional file 1: Fig. S4).
Branching of Eucarya with respect to Archaea
To investigate further the branching of Eucarya with respect to Archaea, we analyzed a supermatrix containing the 64 protein families shared by Archaea and Eucarya (AE supermatrix, 13,468 amino acid positions). We obtained consistent and well-resolved unrooted phylogenies (Fig. 3, and Additional file 1: Figs. S5 and S6). The internal archaeal topology previously inferred by the A supermatrix was largely supported by the AE supermatrix (green dots in Fig. 2A), indicating that adding eukaryotes neither introduces tree reconstruction artifacts nor does it blur the phylogenetic signal contained in the data. In both trees the Eucarya displayed a very long stem and branched as sister of the Asgard superphylum (PP = 1, BV = 86%, Fig. 3, and Additional file 1: Figs. S5 and S6). To investigate this relationship in more detail and avoid potential artifacts due to the presence of very distantly related lineages or very long branches such as the ones leading to Halobacteria or DPANN, we subsampled the original dataset into one including only eukaryotes and their closest archaeal relatives. More precisely, the TACK, the Asgard, the Eucarya, and the Stygia represented the ingroup, while the Acherontia was used of outgroup. The resulting tree is fully resolved and consistently supports the Asgard as the sister-lineage of Eucarya (PP = 1, Fig. 4). A sister-grouping of Asgard and Eucarya was also observed when applying two different amino acid recoding schemes (here Dayhoff4 and Dayhoff6, Additional file 1: Figs. S7 and S8). These results suggest that the sistership of Eucarya and Asgard is robust and confirm their close relationships with TACK and Stygia within Cluster I.
Deep divergences of the Archaea inferred by using Bacteria as outgroup
We next sought to investigate the deepest divergences within Archaea, notably by resolving the branching of new lineages (Asgard, Verstraetearchaeota, Stygia, Methanonatronarchaeia, and Altiarchaea) that were not analyzed in Raymann et al. (2015). We therefore proceeded to root the archaeal tree by using a bacterial outgroup using the 41 protein families shared by Archaea and Bacteria (AB supermatrix, 7,853 amino acid positions). The inferred ML and BI trees were overall robust and consistent (Fig. 5, Additional file 1: Figs. S9 and S10). In particular, the monophyly of major bacterial groups such as the Chlorobi / Bacteroidetes, Spirochaetes, Chloroflexi, Deinococcus-Thermus, Cyanobacteria, Actinobacteria, Firmicutes, and Thermotogae, including Proteobacteria and PVC that are particularly difficult to infer, were robustly supported (most PP = 1, BV > 95%). Furthermore, the BI tree recovered the deep split between Terrabacteria (Deinococcus-Thermus, Chloroflexi, Cyanobacteria, Actinobacteria, and Firmicutes) and Thermotogae on the one hand, and other major bacterial lineages on the other hand (PP = 0.93, Fig. 5 and Additional file 1: Fig. S9), consistently with previous reports [16, 34, 35]. The ML tree is overall consistent with the BI tree, albeit relationships among bacterial lineages are less supported (Additional file 1: Fig. S10). In particular, the position of Deinococcus-Thermus was unresolved in the ML tree.
Most interestingly, the two trees are again incompatible with the monophyly of Euryarchaeota. In fact, both trees supported monophyly of Cluster I (PP = 0.91 and BV = 92%) and Cluster II (PP = 1 and BV = 100%). More precisely, the Methanomada represent the deepest branches of the Cluster I (Figs. 2A and 5, and Additional file 1: Figs. S9 and S10), whereas Acherontia appear to be the sister-lineage of the large clade encompassing the TACK, the Asgard and the Stygia (BI = 1 and BV = 100%, Fig. 5). The speciation between Cluster I and Cluster II occurred deeply in the BI and ML trees of Archaea, meaning these two lineages are ancient.
It is worth to notice that the ML and the BI trees are inconsistent regarding the phylogenetic position of DPANN. According to the BI tree, the root is located in-between Cluster I and Cluster II, while the DPANN and Altiarchaea branch within Cluster I, albeit with a non-significant support (PP = 0.8, Fig. 5). In contrast, according to the ML tree, the root of Archaea is located within the large clade encompassing DPANN and Altiarchaea, meaning that this group is paraphyletic (BV = 99%, Additional file 1: Fig. S10). More precisely, the clade grouping Aenigmarchaeota, Nanohaloarchaeota, Nanoarchaeota, Woesearchaeota, and Pacearchaeota represent the very first diverging lineage, while Diapherotrites and Altiarchaea emerge later. Even if the relationships among DPANN are not fully resolved, the ML tree suggests that the DPANN superphylum diverged before the speciation between Clusters I and II (BV = 100%). Because BI and trees differ in the placement of the root with respect to DPANN and because the inclusion of the bacterial outgroup impacts the position of DPANN, we wonder whether the DPANN lineages impact the placement of the root itself. To address this question, we removed the DPANN and Altiarchaea lineages from the AB supermatrix. The BI tree inferred with this new AB dataset is fully consistent with previous ML and BI trees and supports Cluster I and Cluster II (Additional file 1: Figs. S9-S11). More precisely, the bacterial outgroup branches in-between Cluster I and Cluster II (PP = 0.89), and more importantly, the grouping Acherontia with TACK, Asgard, and Stygia taxa is again strongly supported (PP = 1, Additional file 1: Fig. S11).
Based on these rooted archaeal trees, the placement of other recently described lineages can be robustly inferred. For example, the Verstraetearchaeota, the Asgard, and the Stygia reliably branch with Cluster I lineages (all PP = 1 and BV > 95%), while the Methanonatronarchaeia belong to Cluster II (PP = 1 and BV = 100%), in agreement with recent reports [28, 29].
Altogether, these results indicate that the root of Archaea can be confidently excluded from within Cluster I or II, although the precise phylogenetic position of DPANN lineages and their relationship with Altiarchaea remain to be assessed by future analyses including additional sampling from these lineages.
In recent years, the availability of new genome sequences, especially for archaea and bacteria, along with the development of more realistic phylogenetic models and methods, has provided key material and tools to investigate ancient relationships and evolutionary events. Yet, deep evolutionary relationships within Domains or even the entire Tree of Life have to be robustly assessed by using suitable phylogenetic markers and taxonomic sampling. Here, we have shown that a divide-and-conquer approach based on character supermatrices is a reliable and promising approach to successfully resolve deep divergences by combining the phylogenetic signal brought by large supermatrices and at the same time using different sub-samplings of taxa and markers specifically adapted to different parts of the phylogeny.
Our results provide a robust rooted phylogeny of the Archaea allowing to decipher the relative order of divergence of important clades and pinpointing Asgard as the closest relatives of Eucarya. The genomic sampling of the Asgard is rapidly increasing, and notably the sequencing of the first Asgard representatives in isolated form  will certainly allow to determine more accurately their relationship with eukaryotes. Our data also strongly indicate that Euryarchaeota do not form a monophyletic group. Instead, we further support the hypothesis that one of the earliest divergences in the Archaea separated two large clades, Cluster I and Cluster II, which we proposed to name Ouranosarchaea and Gaiarchaea, two ancient and major Greek divinities representing sky and earth, respectively. Again, these names are placeholders and not taxonomic proposals. Because methanogens are present in both clades, whether the root of the Archaea lies between Cluster I and II or before their divergence from DPANN is of primary importance to infer whether this metabolism was present in the last archaeal common ancestor. Accordingly, a major open question is whether the monophyly and the basal branching of DPANN are real or rather due to an artifact. While the phylogenetic signal contained in the A and AE supermatrices suggests that DPANN and Altiarchaea branch between Cluster I or Cluster II, their phylogenetic position remains unresolved by the AB dataset. This could reflect a lack of phylogenetic signal due the smaller set of markers analyzed and/or to biases resulting from the introduction of the very distant bacterial lineage to root the tree. Investigating the monophyly of the DPANN superphylum, its links with Altiarchaea, and its position in relation to Cluster I, Cluster II, remains one of the biggest methodological challenges, which would require the assembly of specific datasets and the implementation of protocols specifically designed to address this issue.
Our analysis significantly increases the ecological and molecular diversity of Cluster I by showing that many recently described lineages belong to this clade. Within Cluster I, the relative divergence order from root to tips is: Methanomada, Acherontia, Stygia, and finally TACK and Asgard. Moreover, we robustly confirm the specific evolutionary relationship between Eucarya and Asgard [9,10,11, 17, 18, 36], although additional genomic sampling of this group will be necessary to resolve more precisely this relationship. We show here that new Cluster I members represent important close outgroups to retrace even further back in time the processes that led to the emergence of eukaryotes from archaeal ancestors.
The fast pace in acquisition of genomic data from a larger and larger fraction of microbial diversity imposes a giant challenge for obtaining large-scale phylogenies, and hoping to be able to resolve them from tip to toe based on one unique large concatenation  does not seem to be a realistic goal. Instead, this prompts for a collective effort to develop new methodological solutions. Here, we propose a divide-and-conquer approach based on the use of character supermatrices instead, to keep higher information, and we apply it to resolve the Domain-level phylogeny of the Archaea, as well as their relationships with eukaryotes. This approach allows the inference of a well resolved rooted phylogeny of the Archaea that includes all recently described phyla of high taxonomic rank. This phylogeny represents a valuable reference to study the evolutionary events associated to the early steps of the diversification of the archaeal domain, including the emergence of eukaryotes. Beyond this study, we would like to stress that divide-and-conquer approaches based on supermatrices represent a promising strategy to resolve deep phylogenetic relationships, which should be applied to progressively resolve the entire Tree of Life.
435 representative archaeal genomes and their corresponding proteomes were retrieved from the National Center for Biotechnology Information (NCBI) (Additional file 1: Table S1). The 81 protein families from the study by Raymann and colleagues (2015) Additional file 1: Table S2) were updated using the engine of the RiboDB database that combines reciprocal Best-Blast-Hits (rBBH) and Hidden Markov Model (HMM) profiles to identify homologues . More precisely, sequences of the 81 protein families were used as seeds for rBBH to query the 435 proteomes with BLASTP and to build HMM profiles. Subject protein sequences displaying High Scoring Pairs E-values < 10–4 or matching with HMM profiles with an E-values < 10–1 according to HMMER version 3.1b2 were retained.
The 81 updated protein families were aligned with MAFFT version 7.215 with the high-quality L-INS-I option  and trimmed using BMGE version 1.12 with the BLOSUM30 substitution matrix . Trimmed multiple alignments were used to build maximum likelihood trees with IQTREE version 1.6.9 using the best-suited evolutionary model according to ModelFinder (Bayesian information criterion) [41, 42]. Visual inspection of the resulting trees revealed that nine out of the 81 protein families presented complex evolutionary patterns mixing multiple horizontal gene transfers (HGT), gene duplications, and gene losses, leading to known archaeal orders to be non-monophyletic (Additional file 1: Table S2). This is likely due to increased taxonomic sampling which discloses previously undetectable complex evolutionary histories. These nine families were therefore eliminated from further analyses. The remaining 72 families recovered the monophyly of known classes and orders within each of the three domains of life. Among these 72 selected markers, 33 are present in the three domains of life, eight are shared only by Archaea and Bacteria, and 31 are found only in Archaea and Eucarya. The phylogeny of these protein families revealed a few punctual HGT or gene duplications. The corresponding sequences were removed from the datasets.
Finally, to avoid taxonomic bias and to reduce computational burden, we selected 218 out of the 435 archaeal genomes by keeping at least three representatives for each archaeal order when possible and only one strain per species (Additional file 1: Tables S1 and S2).
Three supermatrices were built by combining various subsets of the 72 protein families and taxonomic samplings (Additional file 1: Table S1):
The A supermatrix gathered the archaeal sequences from the 72 protein families (218 representative strains including DPANN, 16,006 amino acid positions);
The AE supermatrix gathered the eukaryotic and archaeal sequences from 64 protein families: 33 universal families and 31 families shared between Eucarya and Archaea (236 representative strains including DPANN, 13,468 amino acid positions);
The AB supermatrix gathered bacterial and archaeal sequences from 41 protein families: 33 universal families and eight families shared between Archaea and Bacteria (285 representative strains including DPANN, 7,853 amino acid positions).
For each supermatrix, the single protein families were aligned and trimmed by considering each separate taxonomic sampling in order to limit alignment errors and to maximize the number of positions kept during the trimming step.
Bayesian inference (BI) analyses were performed with PHYLOBAYES version 4.1  with the CAT + GTR + G4 model. The CAT + GTR model allows the amino acid replacement patterns at different sites of a protein alignment to be described by distinct substitution processes . A gamma distribution (G4) with four discrete classes of sites and an estimated alpha parameter was used to model the heterogeneity of evolutionary rates across sites. For some analyses, recoding schemes were applied in order to reduce the substitutional saturation and thus the risk of tree reconstruction artefacts. The Dayhohh4 and Dayhoff6 recoding schemes, corresponding to the four- and six-Dayhoff’s amino acid families were used. They correspond to [(A,G,P, S, T), (D,E,N,Q), (H,K,R), (F,Y,W,I,L,M,V) plus cysteine treated as missing data (C = ?)] and to [(A,G,P, S, T), (D,E,N,Q), (H,K,R), (F,Y,W), (I,L,M,V), (C), respectively.
For tree reconstruction, two chains were run in parallel for at least 10,000 cycles. The first 1,500 trees were discarded as “burnin” and one out of two of the remaining trees from each chain was sampled to test for convergence (maxdiff < 0.3) and to compute 50% majority rule consensus trees.
Maximum likelihood (ML) trees were inferred with IQ-TREE , using the LG + C20 + G4 profile mixture model, a ML variant of Bayesian CAT model. Branch supports were computed using the non-parametric procedure implemented in IQ-TREE (100 replicates).
The progressive site-by-site removal of the fastest-evolving sites was performed using the Slow-Fast method implemented in SLOW-FASTER . At each step, a BI phylogenetic tree was inferred, allowing to follow the impact of the removed positions on important branches [24, 46]. This approach requires the definition of reliable monophyletic groups to estimate the evolutionary rate of each site . Groups corresponding to undisputable monophyletic classes or phyla were considered. For Archaea, we defined 19 groups: DPANN group 1 (Diapherotrites), DPANN group 2 (Aenigmarchaeota and Nanohaloarchaeota), DPANN group 3 (Pacearchaeota, Woesearchaeota, and Nanoarchaeota), Stygia, Acherontia, Crenarchaeota group 1 (Desulfurococcales), Crenarchaeota group 2 (Sulfolobales), Crenarchaeota group 3 (Thermoproteales), Crenarchaeota group 4 (Geoarchaeota), Verstraetearchaeota, Thaumarchaeota, Aigarchaeota, Diaforarchaea, Methanomicrobia, Methanomada, Archaeoglobi, Asgard, Bathyarchaeota, and Altiarchaea. Halobacteria were not included because their very long stem is a potential source of tree reconstruction artifacts, and they represent a late-emerging lineage whose placement is robustly assessed.
To avoid biases due to unbalanced taxonomic sampling, each group was represented by three-to-seven representatives.
Availability of data and materials
All data generated or analysed during this study are included in this published article and its supplementary information files.
Eukaryote signature proteins
Horizontal gene transfers
The supermatrix containing protein families shared by Archaea and Eucarya
The supermatrix containing protein families shared by Archaea and Bacteria
National Center for Biotechnology Information
Hidden Markov Model
Rinke C, Schwientek P, Sczyrba A, Ivanova NN, Anderson IJ, Cheng JF, Darling A, Malfatti S, Swan BK, Gies EA, et al. Insights into the phylogeny and coding potential of microbial dark matter. Nature. 2013;499(7459):431–7.
Almeida A, Nayfach S, Boland M, Strozzi F, Beracochea M, Shi ZJ, Pollard KS, Sakharova E, Parks DH, Hugenholtz P, et al. A unified catalog of 204,938 reference genomes from the human gut microbiome. Nat Biotechnol. 2021;39(1):105–14.
Parks DH, Rinke C, Chuvochina M, Chaumeil PA, Woodcroft BJ, Evans PN, Hugenholtz P, Tyson GW. Recovery of nearly 8,000 metagenome-assembled genomes substantially expands the tree of life. Nat Microbiol. 2017;2(11):1533–42.
Spang A, Saw JH, Jorgensen SL, Zaremba-Niedzwiedzka K, Martijn J, Lind AE, van Eijk R, Schleper C, Guy L, Ettema TJG. Complex archaea that bridge the gap between prokaryotes and eukaryotes. Nature. 2015;521(7551):173–9.
Spang A, Stairs CW, Dombrowski N, Eme L, Lombard J, Caceres EF, Greening C, Baker BJ, Ettema TJG. Proposal of the reverse flow model for the origin of the eukaryotic cell based on comparative analyses of Asgard archaeal metabolism. Nat Microbiol. 2019;4(7):1138–48.
Petitjean C, Deschamps P, Lopez-Garcia P, Moreira D. Rooting the domain archaea by phylogenomic analysis supports the foundation of the new kingdom Proteoarchaeota. Genome Biol Evol. 2014;7(1):191–204.
Petitjean C, Deschamps P, Lopez-Garcia P, Moreira D, Brochier-Armanet C. Extending the conserved phylogenetic core of archaea disentangles the evolution of the third domain of life. Mol Biol Evol. 2015;32(5):1242–54.
Sorokin DY, Makarova KS, Abbas B, Ferrer M, Golyshin PN, Galinski EA, Ciordia S, Mena MC, Merkel AY, Wolf YI, et al. Discovery of extremely halophilic, methyl-reducing euryarchaea provides insights into the evolutionary origin of methanogenesis. Nat Microbiol. 2017;2:17081.
Williams TA, Szollosi GJ, Spang A, Foster PG, Heaps SE, Boussau B, Ettema TJG, Embley TM. Integrative modeling of gene and genome evolution roots the archaeal tree of life. Proc Natl Acad Sci USA. 2017;114(23):E4602–11.
Dombrowski N, Williams TA, Sun J, Woodcroft BJ, Lee JH, Minh BQ, Rinke C, Spang A. Undinarchaeota illuminate DPANN phylogeny and the impact of gene transfer on archaeal evolution. Nat Commun. 2020;11(1):3939.
Criscuolo A, Gribaldo S. BMGE (Block Mapping and Gathering with Entropy): a new software for selection of phylogenetic informative regions from multiple sequence alignments. BMC Evol Biol. 2010;10:210.
We thank the PRABI (Pôle Rhône-Alpes de Bioinformatique) and the Institut Pasteur for providing computing facilities.
This work has been funded by the French National Agency for Research, Grant ArchEvol (Grant No. ANR-16-CE02-0005-01). M.A. has been funded by a doctoral fellowship from the Région Rhône-Alpes-ARC 1 Santé.
Authors and Affiliations
Université de Lyon, Université Lyon 1, CNRS, UMR5558, Laboratoire de Biométrie et Biologie Évolutive, 43 bd du 11 novembre 1918, 69622, Villeurbanne, France
CB-A, SG, and J-PF designed the study. MA and FJ assembled the datasets. MA performed the phylogenetic analyses. CB-A, MG and J-PF supervised the analyses. All authors analyzed the results. CB-A, SG, and MA wrote the manuscript. All authors read and approved the final manuscript.
Unrooted Bayesian phylogeny of Archaea. The tree corresponds to the A supermatrix (72 protein families, 218 taxa, 16,006 amino acids positions). The tree was inferred with PHYLOBAYES using the CAT+GTR+G4 model. Values at branch correspond to branch lengths (top) and posterior probabilities (bottom). The scale bar indicates the average number of substitutions per site. Figure S2. Unrooted Maximum Likelihood phylogeny of Archaea. The tree corresponds to the A supermatrix (72 protein families (218 taxa, 16,006 amino acids positions). The tree was inferred with IQ-TREE using the LG+C20+G4 model. Values at branch correspond to branch lengths (top) and bootstrap values (bottom). The scale bar indicates the average number of substitutions per site. Figure S3. Unrooted Bayesian phylogeny of Archaea inferred through the Slow-Fast procedure. Starting from the A supermatrix (72 protein families, 218 taxa, 16,006 amino acids positions), the fastest evolving sites were removed progressively. At each step, a Bayesian tree was inferred with PHYLOBAYES using the CAT+GTR+G4 model. Values at branch correspond to posterior probabilities. The scale bars indicate the average number of substitutions per site. Figure S4. Unrooted Bayesian phylogeny of Archaea inferred through the Slow-Fast procedure by excluding the DPANN. Starting from the A supermatrix (72 protein families, 199 taxa, 15,430 amino acids positions), the fastest evolving sites were removed progressively. At each step, a Bayesian tree was inferred with PHYLOBAYES using the CAT+GTR+G4 model. Values at branch correspond to posterior probabilities. The scale bars indicate the average number of substitutions per site. Figure S5. Unrooted Bayesian phylogeny of Archaea and Eucarya. The tree corresponds to the AE supermatrix (61 protein families, 236 taxa, 13,468 amino acids positions). The tree was inferred with PHYLOBAYES using the CAT+GTR+G4 model. Values at branch correspond to branch lengths (top) and posterior probabilities (bottom). The scale bar indicates the average number of substitutions per site. Figure S6. Unrooted maximum likelihood phylogeny of Archaea and Eucarya. The tree corresponds to the AE supermatrix (61 protein families, 236 taxa, 13,468 amino acids positions). The tree was inferred with IQ-TREE using the LG+C20+G4 model. Values at branch correspond to branch lengths (top) and bootstrap values (bottom). The scale bar indicates the average number of substitutions per site. Figure S7. Phylogenetic position of the Eucarya relatively to Cluster I lineages by Dayhoff4 recoding. Unrooted Bayesian phylogenetic tree built using the AE supermatrix (64 protein families, 114 taxa, 13,468 amino acids positions). The tree was inferred with PHYLOBAYES using the CAT+GTR+G4 model and the amino acid recoding scheme Dayhoff4. The length of the branches corresponds to evolutionary distances. Supports at branch correspond to posterior probabilities. Figure S8. Phylogenetic position of the Eucarya relatively to Cluster I lineages by Dayhoff6 recoding. Unrooted Bayesian phylogenetic tree built using the AE supermatrix (64 protein families, 114 taxa, 13,468 amino acids positions). The tree was inferred with PHYLOBAYES using the CAT+GTR+G4 model and the amino acid recoding scheme Dayhoff6. The length of the branches corresponds to evolutionary distances. Supports at branch correspond to posterior probabilities. Figure S9. Rooted Bayesian phylogeny of the Archaea. The tree corresponds to the AB supermatrix (41 protein families, 285 taxa, 7,853 amino acids positions). The tree was inferred with PHYLOBAYES using the CAT+GTR+G4 model. Values at branch correspond to branch lengths (top) and posterior probabilities (bottom). The scale bar indicates the average number of substitutions per site. Figure S10. Rooted maximum likelihood phylogeny of Archaea. The tree corresponds to the AB supermatrix (41 protein families, 285 taxa, 7,853 amino acids positions). The tree was inferred with IQ-TREE using the LG+C20+G4 model. Values at branch correspond to branch lengths (top) and bootstrap values (bottom). The scale bar indicates the average number of substitutions per site. Figure S11. Rooted Bayesian phylogeny of Archaea without DPANN and Altiarchaea. The tree corresponds to a version AB supermatrix built without DPANN and Altiarchaea (41 protein families, 261 taxa, 7,952 amino acids positions). Values at branch correspond to branch lengths (top) and posterior probabilities (bottom). The scale bar indicates the average number of substitutions per site. Table S1. List of the taxa used in the study (435 archaea, 67 bacteria, and 18 eukaryotes). The 42 archaeal species useid in the study by Raymann et al. (2015) are indicated. The 218 representative archaeal species kept for phylogenetic analyses are in green. Their presence in the 72 archaeal protein families used in this study is indicated. Representative species kept for the Slow-Fast analysis are in dark green. Table S2. List of markers from Raymann et al. (2015) used in this study. For each marker, the corresponding COG name and general description are also indicated. The nine markers displaying complex evolutionary histories are indicated in red. These markers were not retained for supermatrices construction.
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Aouad, M., Flandrois, JP., Jauffrit, F. et al. A divide-and-conquer phylogenomic approach based on character supermatrices resolves early steps in the evolution of the Archaea.
BMC Ecol Evo22, 1 (2022). https://0-doi-org.brum.beds.ac.uk/10.1186/s12862-021-01952-0