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351 results for “gene tree”
DEPP: Deep learning enables extending species trees using single genes
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QuCo: quartet-based co-estimation of species trees and gene trees
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DEPP: Deep learning enables extending species trees using single genes
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Completing gene trees without species trees in sub-quadratic time
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Disentangling sources of gene tree discordance in phylogenomic datasets: testing ancient hybridizations in Amaranthaceae s.l.
<p>Gene tree discordance in large genomic datasets can be caused by evolutionary processes such as incomplete lineage sorting and hybridization, as well as model violation, and errors in data processing, orthology inference, and gene tree estimation. Species tree methods that identify and accommodate all sources of conflict are not available, but a combination of multiple approaches can help tease apart alternative sources of conflict. Here, using a phylotranscriptomic analysis in combination with reference genomes, we test a hypothesis of ancient hybridization events within the plant family Amaranthaceae s.l. that was previously supported by morphological, ecological, and Sanger-based molecular data. The dataset included seven genomes and 88 transcriptomes, 17 generated for this study. We examined gene-tree discordance using coalescent-based species trees and network inference, gene tree discordance analyses, site pattern tests of introgression, topology tests, synteny analyses, and simulations. We found that a combination of processes might have generated the high levels of gene tree discordance in the backbone of Amaranthaceae s.l. Furthermore, we found evidence that three consecutive short internal branches produce anomalous trees contributing to the discordance. Overall, our results suggest that Amaranthaceae s.l. might be a product of an ancient and rapid lineage diversification, and remains, and probably will remain, unresolved. This work highlights the potential problems of identifiability associated with the sources of gene tree discordance including, in particular, phylogenetic network methods. Our results also demonstrate the importance of thoroughly testing for multiple sources of conflict in phylogenomic analyses, especially in the context of ancient, rapid radiations. We provide several recommendations for exploring conflicting signals in such situations.</p>
Data from: Phylogenomics reveals ancient gene tree discordance in the amphibian Tree of Life
<p>Molecular phylogenies have yielded strong support for many parts of the amphibian Tree of Life, but poor support for the resolution of deeper nodes, including relationships among families and orders. To clarify these relationships, we provide a phylogenomic perspective on amphibian relationships by developing a taxon-specific Anchored Hybrid Enrichment protocol targeting hundreds of conserved exons which are effective across the class. After obtaining data from 220 loci for 286 species (representing 94% of the families and 44% of the genera), we estimate a phylogeny for extant amphibians and identify gene tree–species tree conflict across the deepest branches of the amphibian phylogeny. We perform locus-by-locus genealogical interrogation of alternative topological hypotheses for amphibian monophyly, focusing on interordinal relationships. We find that phylogenetic signal deep in the amphibian phylogeny varies greatly across loci in a manner that is consistent with incomplete lineage sorting in the ancestral lineage of extant amphibians. Our results overwhelmingly support amphibian monophyly and a sister relationship between frogs and salamanders, consistent with the Batrachia hypothesis. Species tree analyses converge on a small set of topological hypotheses for the relationships among extant amphibian families. These results clarify several contentious portions of the amphibian Tree of Life, which in conjunction with a set of vetted fossil calibrations, support a surprisingly younger timescale for crown and ordinal amphibian diversification than previously reported. More broadly, our study provides insight into the sources, magnitudes, and heterogeneity of support across loci in phylogenomic data sets.</p>
FIGURE 3. Combined gene tree for Lucininae, expanded from Figure 1 in New molecular phylogeny of Lucinidae: increased taxon base with focus on tropical Western Atlantic species (Mollusca: Bivalvia)
FIGURE 3. Combined gene tree for Lucininae, expanded from Figure 1.
FIGURE 2. Combined gene tree for Codakiinae, expanded from Figure 1 in New molecular phylogeny of Lucinidae: increased taxon base with focus on tropical Western Atlantic species (Mollusca: Bivalvia)
FIGURE 2. Combined gene tree for Codakiinae, expanded from Figure 1.
Comprehensive phylogenomic time tree of bryophytes reveals deep relationships and uncovers gene incongruences in the last 500 million years of diversification
<p class="MsoNormal"><strong><span>Premise</span></strong></p> <p class="MsoNormal"><span>Bryophytes, land plants defined by a free-living gametophyte and an unbranched sporophyte, form a major component of terrestrial plant biomass, structuring ecological communities in all biomes. </span><span>Our understanding of the evolutionary history of hornworts, liverworts and mosses has been significantly reshaped by inferences from molecular data, highlighting extensive homoplasy in various traits and repeated bursts of diversification. However, the timing of key events in the phylogeny, and the degree to which the observed homoplasy represents error or biological processes, remain poorly resolved.</span></p> <p class="MsoNormal"><strong><span>Methods</span></strong></p> <p class="MsoNormal"><span>Using the GoFlag probe set, we sampled 405 exons representing 228 nuclear genes for 531 species from 51 of the 53 orders of bryophytes. We inferred the species phylogeny from gene tree analyses using concatenated and coalescence approaches, assessed gene conflict, and estimated the timing of divergences based on 29 fossil calibrations.</span></p> <p class="MsoNormal"><strong><span>Results</span></strong></p> <p class="MsoNormal"><span>The phylogeny resolves many relationships across the bryophytes, enabling us to resurrect five liverwort orders and recognize three more, and propose ten new orders of mosses. Most orders originated in the Jurassic or earlier and diversified in the Cretaceous or later. The phylogenomic data also highlight topological conflict in parts of the tree, suggesting complex processes of diversification that cannot be adequately captured in a single gene tree topology. </span></p> <p class="MsoNormal"><strong><span>Conclusions</span></strong></p> <p class="MsoNormal"><span>We sampled hundreds of homologous loci across a broad phylogenetic spectrum spanning at least 450 Ma of evolution, and these data resolved many of the critical nodes of the diversification of bryophytes. The data also highlight the need to explore the mechanisms underlying the phylogenetic ambiguity at specific nodes. The phylogenomic data provide an expandable framework toward reconstructing a comprehensive phylogeny of bryophytes and for investigating the transformations of traits in this important group of plants.</span></p>
Data from: Phylogenetic conflict between species tree and maternally inherited gene trees in a clade of Emberiza buntings (Aves: Emberizidae)
<p>Different genomic regions may reflect conflicting phylogenetic topologies on account of incomplete lineage sorting and/or gene flow. Genomic data are necessary to reconstruct the true species tree and explore potential causes of phylogenetic conflict. Here, we investigate the phylogenetic relationships of four <em>Emberiza</em> species (Aves: Emberizidae) and discuss the potential causes of the observed mitochondrial non-monophyly of <em>Emberiza godlewskii</em> (Godlewski's bunting) using phylogenomic analyses based on whole genome resequencing data from 41 birds. Phylogenetic analyses based on both the whole mitochondrial genome and ~39 kilobases from the non-recombining W chromosome reveal that the northern and southern populations of <em>E. godlewskii</em> are each sister to <em>E. cioides</em> and <em>E. cia</em>, respectively. In contrast, phylogenetic analysis based on genome-wide data support the monophyly of <em>E. godlewskii</em> with the following tree topology: (((<em>E. godlewskii</em>, <em>E. cia</em>), <em>E. cioides</em>), <em>E. jankowskii</em>).<em> </em>Using D-statistics, we detected multiple gene flow events among different lineages, indicating pervasive introgressive hybridization within this clade. Introgression from an unsampled lineage that is sister to <em>E. cioides</em> or introgression from an unsampled mitochondrial + W chromosomal lineage of <em>E. cioides</em> into northern <em>E. godlewskii </em>may explain the phylogenetic conflict between the species tree estimated from genome-wide data and mtDNA/W trees. These results underscore the importance of using genomic data for phylogenetic reconstruction and species delimitation.</p>
Contrasting the depths of divergence between gene-tree and coalescent estimates in the North American Racers (Colubridae: Coluber constrictor)
<p>The North American racers (<em>Coluber constrictor</em>) are widely distributed across the Nearctic and numerous studies have demonstrated extensive variation in morphology, ecology, and population genetic structure. Here we take an integrative approach to understand lineage diversification within this taxon by combining genomic sequence capture data, mtDNA sequence data, morphometrics, and ecological niche models. Both the genomic data and mtDNA phylogeographic analyses support five lineages distributed across the range of this species. However, demographic model selection based on these two datasets strongly conflict in both the model of divergence and estimates of timing of lineage divergence. While mtDNA and concatenated genomic data suggest a Miocene origin of these distinct groups, coalescent-based demographic models of sequence capture data suggest lineage diversification occurred at ~33 kya in allopatry without gene flow. Using linear morphological measurements of head shape we demonstrate that lineages distributed largely east and west of the Mississippi River are distinguishable. Furthermore, ecological niche modelling demonstrates that lineages distributed in subtropical habitats have environmental niche space that is significantly differentiated from lineages distributed across the continent. Taken together, these results suggest that ecology is an important axis of lineage divergence within this group and that more fine-scale analyses may find even greater differentiation across the populations identified here.</p>
Gene trees and corresponding nucleotide/protein alignments across 17 species (including 13 fishes)
<p>This archive contains gene trees and corresponding nucleotide/protein alignments across 17 species (including 13 fishes).</p>
Genotype data of 1970 Pedunculate oak trees (Quercus robur L.) in 13 European countries at 381 gene loci covering the nuclear and organelle genome
<p>The data set is the result of genetic inventory on 1970 Pedunculate oak trees from 197 locations in Europe. The samples are from the countries: Belarus, Bosnia, Bulgaria, Croatia, Finland, France, Germany, Hungary, Italy, Latvia, Poland, Russia and Ukraine. At each location ten individual trees were collected. The data set includes the location ID and geographic coordinates of each sampled tree (longitude and latitude in decimal degrees) and the genotype data. All samples were screened with a targeted sequencing approach on a set of 381 polymorphic loci (356 nuclear SNPs, 3 nuclear InDels, 17 chloroplast SNPs and five mitochondrial SNPs).</p> <p>The genotype of each individual is one row in the csv-file "genotypes". The genotypes at the nuclear markers are diploid and represented by two columns per gene marker. The genetic information at the organelle genome is haploid. For each of these gene markers one column is used. Genotypes are coded by Arabic numbers. The meaning of the numbers is explained in the table "coding genotypes" in a second csv-file.</p>
Genotype data of 970 Pedunculate oak trees (Quercus robur L.) in Russia and neighbouring countries at 385 gene loci covering the nuclear and organelle genome
<p>The data set is the result of genetic inventory on 970 Pedunculate oak trees from 97 locations in Russia, Belarus, Ukraine and Latvia representing the eastern part of the natural species range. The data set includes the sample IDs, geographic coordinates of each sampled tree (longitude and latitude in decimal degrees) and the genotype data. All samples were screened with a set of 385 gene markers covering the nuclear (n=364) and the organelle genomes (chloroplast: n=14, mitochondria: n=7) by use of a genotyping by sequencing approach. With exception of three INDELs (Insert and Deletion mutations) all gene markers are SNPs (Single nucleotide Polymorphism).</p>
Gene flow between wild trees and cultivated varieties shapes the genetic structure of sweet chestnut (Castanea sativa Mill.) populations
<p>The sweet chestnut orchards (<em>Castanea sativa</em> Mill.) are traditionally planted in the northern Adriatic region. This study investigates their population structure, as well as the genetic background of three toponymous clonal varieties. Six genomic simple sequence repeat (gSSR) and nine EST-derived SSR (EST-SSR) loci were utilized in this study. We have identified five closely related clones, which represent a singular, polyclonal marron variety, found in all three cultivation areas, acompanied by many hybrids, resulting from the breeding between cultivated and wild chestnuts. </p>
Phylogenomic analyses in Phrymaceae reveal extensive gene tree discordance in relationships among major clades
<p>• Premise of the study: Phylogenomic datasets using genomes and transcriptomes provide rich opportunities beyond resolving bifurcating phylogenetic relationships. Monkeyflower (Phrymaceae) is a model system for evolutionary ecology. However, it lacks a well-supported phylogeny for a stable taxonomy and for macroevolutionary comparisons.</p> <p>• Methods: We sampled 24 genomes and transcriptomes in Phrymaceae and closely related families, including eight newly sequenced transcriptomes. We reconstructed the phylogeny using IQ-TREE and ASTRAL, evaluated gene tree discordance using PhyParts, Quartet Sampling, and cloudogram, and carried out phylogenetic network analyses using PhyloNet and HyDe. We searched for whole genome duplication (WGD) events using chromosome numbers, synonymous distance, and gene duplication events.</p> <p>• Key results: Most gene trees support the monophyly of Phrymaceae and each of its tribes. Most gene trees also support the tribe Mimuleae being sister to Phrymeae + Diplaceae + Leucocarpeae, with extensive gene tree discordance among the latter three. Despite the discordance, polyphyly of Mimulus s.l. is strongly supported, and no particular reticulation event among the Phrymaceae tribes is well supported. Reticulation likely occurred among Erythranthe bicolor and close relatives. No ancient WGD event was detected in Phrymaceae. Instead, small-scale duplications are among potential drivers of macroevolutionary diversification of Phrymaceae.</p> <p>• Conclusions: We show that analysis of reticulate evolution is sensitive to taxon sampling and methods used. We also demonstrate that genome-scale data do not always fully "resolve" phylogenetic relationships. They present rich opportunities to investigate reticulate evolution, and gene and genome evolution involved in lineage diversification and adaptation.</p>
Data from: Species tree estimation and the impact of gene loss following whole-genome duplication
<p>Whole-genome duplication (WGD) has been demonstrated to occur broadly and repeatedly in the evolutionary history of eukaryotes, and is recognized as a prominent evolutionary force, especially in plants. Immediately following WGD, most genes are present in two copies as paralogs. Due to this redundancy, one copy of a paralog pair commonly undergoes pseudogenization and is eventually lost. When speciation occurs shortly after WGD, however, differential loss of paralogs may lead to spurious phylogenetic inference resulting from the inclusion of pseudoorthologs – paralogous genes mistakenly identify as orthologs because they are present in single copes within each sampled species. The influence and impact of including pseudoorthologs versus true orthologs as result of gene extinction (or incomplete laboratory sampling) in a phylogenetic context is only recently starting to gain empirical attention. Moreover, few of these studies have yet to investigate this phenomenon in an explicit coalescent framework. Here, using mathematical models, numerous simulated data sets, and two newly assembled empirical data sets, we assess the effect of pseudoorthologs on species tree estimation under varying levels of incomplete lineage sorting (ILS) and different patterns of gene loss following WGD. When gene loss occurs in the terminal branches of the species tree, the alignment-based (BPP) and gene-tree-based (ASTRAL, MP-EST, and STAR) coalescent methods are adversely affected as the level of ILS increases. This can be greatly improved by sampling a sufficiently large number of genes. Under the same circumstances, however, concatenation methods consistently estimate incorrect species trees as the number of sampled genes increases. Furthermore, pseudoorthologs can mislead species tree inference if gene loss occurs in the internal branches of the species tree, where both coalescent and concatenation methods are prone to produce inconsistent results. However, pseudoorthologs are problematic when filtering only for single-copy genes in phylogenomic data sets. Pruning orthologs or even randomly selecting a copy from multi-copy genes can avoid most of those pseudoorthologs. These results underscore the importance of understanding the influence of pseudoorthologs in the phylogenomics era.</p>
Phylogenomic analyses of 2,786 genes in 158 lineages support a root of the eukaryotic tree of life between opisthokonts and all other lineages
<p>Advances in phylogenetic methods and high-throughput sequencing have allowed the reconstruction of deep phylogenetic relationships in the evolutionary history of eukaryotes. Yet, the root of the eukaryotic tree of life remains elusive. The most 'popular' (i.e. in textbooks and reviews) hypothesis for the root is between Unikonta (Opisthokonta + Amoebozoa) and Bikonta (all other eukaryotes), which emerged from analyses of a single gene fusion and a limited sampling of eukaryotic lineages. Subsequent highly-cited studies based on concatenation of genes supported this hypothesis with some variations or proposed a root within the Excavata. However, concatenation of genes neither considers phylogenetically-informative events (i.e. gene duplications and losses) nor provides an estimate of the root. A more recent study using gene tree-species tree reconciliation methods suggested the root lies between Opisthokonta and all other eukaryotes, but only including 59 taxa and 20 genes. Here we apply a gene tree – species tree reconciliation approach to a gene-rich and taxon-rich dataset (i.e. 2,786 gene families from two sets of ~158 diverse eukaryotic lineages) to assess the root, and we iterate each analysis 100 times to quantify tree space uncertainty. Our results estimate a root between Fungi and all other eukaryotes, or between Opisthokonta and all other eukaryotes, and reject alternative popular roots from the literature. Based on further analysis of genome size, we propose Opisthokonta + others as the most likely root. Finding the root of the eukaryotic tree of life is critical for the field of comparative biology as it allows us to understand the timing and mode of evolution of characters across the evolutionary history of eukaryotes.</p>
Dataset for: Smith et al., Phylogenomic analysis of the parrots of the world distinguishes artifactual from biological sources of gene tree discordance
<p>Gene tree discordance is expected in phylogenomic trees and biological processes are often invoked to explain it. However, heterogeneous levels of phylogenetic signal among individuals within datasets may cause artifactual sources of topological discordance. We examined how the information content in tips and subclades impacts topological discordance in the parrots (Order: Psittaciformes), a diverse and highly threatened clade of nearly 400 species. Using ultraconserved elements from 96% of the clade's species-level diversity, we estimated concatenated and species trees for 382 ingroup taxa. We found that discordance among tree topologies was most common at nodes dating between the late Miocene and Pliocene, and often at the taxonomic level of genus. Accordingly, we used two metrics to characterize information content in tips and assess the degree to which conflict between trees was being driven by lower quality samples. Most instances of topological conflict and non-monophyletic genera in the species tree could be objectively identified using these metrics. For subclades still discordant after tip-based filtering, we used a machine learning approach to determine whether phylogenetic signal or noise was the more important predictor of metrics supporting the alternative topologies. We found that when signal favored one of the topologies, noise was the most important variable in poorly performing models that favored the alternative topology. In sum, we show that artifactual sources of gene tree discordance, which are likely a common phenomenon in many datasets, can be distinguished from biological sources by quantifying the information content in each tip and modeling which factors support each topology.</p>
Gene Trees for Octopus bocki ANC neuron markers
<p>The evolutionary history was inferred by using the Maximum Likelihood method and Whelan And Goldman model [1]. The trees with the highest log likelihood are shown. The percentage of trees in which the associated taxa clustered together is shown next to the branches. Initial tree(s) for the heuristic search were obtained automatically by applying Neighbor-Join and BioNJ algorithms to a matrix of pairwise distances estimated using the JTT model, and then selecting the topology with superior log likelihood value. The trees are drawn to scale, with branch lengths measured in the number of substitutions per site. Evolutionary analyses were conducted in MEGA11 [2]</p> <p>1. Whelan, S. and Goldman, N. (2001). A general empirical model of protein evolution derived from multiple protein families using a maximum-likelihood approach. Molecular Biology and Evolution 18:691-699.<br>2. Tamura K., Stecher G., and Kumar S. (2021). MEGA 11: Molecular Evolutionary Genetics Analysis Version 11. Molecular Biology and Evolution https://doi.org/10.1093/molbev/msab120.</p>
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Allen Brain Atlas
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