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501 results for “Phylogenetic tree”
FIGURE 7. Phylogenetic relationships among 15 in First report of the lace bug Neoplerochila paliatseasi (Rodrigues, 1981) (Hemiptera Tingidae) infesting cultivated olive trees in South Africa, and its complete mitochondrial sequence
FIGURE 7. Phylogenetic relationships among 15 lace bug species (Hemiptera: Tingidae) based on 13 mitochondrial proteincoding genes, using Bayesian inference. PCG123 was constructed using DNA sequences with partitioned codon positions. PCG12 was constructed using DNA sequences, excluding the 3rd codon position. AA was constructed using amino acid sequences. Trees were rooted by the outgroups Adelphocoris fasciaticollis and Apolygus lucorum (Miridae). Nodal statistical support is given as Bayesian posterior probability.
FIG 3 in Rooting the Phylogenetic Tree of Middle East Respiratory Syndrome Coronavirus by Characterization of a Conspecific Virus from an African Bat
FIG 3 Bayesian phylogenies of clade c betacoronaviruses, including NeoCoV. (A) Phylogenies of ORF1a, ORF1b, and ORFs coding for structural proteins. (B) Phylogenies of the S1 and S2 subunits, corresponding to amino acid positions 1 to 747 and 748 to 1353, respectively, of MERS-CoV strain EMC/2012. NeoCoV is shown in red, camel MERS-CoV is shown in blue, and human MERS-CoV is shown in cyan. HCoV-OC43 was used as an outgroup. (C) Phylogeny of MERS-CoV full genomes. MERS-CoVs obtained from humans are shown in black, and MERS-CoVs from camels are shown in blue. NeoCoV was used for rooting the tree. For all trees, statistical support of grouping from Bayesian posterior probabilities is shown at deep nodes. Only values above 0.7 are shown. The bar represents genetic distance. GenBank accession numbers are KJ477102 for NRCE-HKU205, KJ156881 for Wadi-Ad-Dawasir 1 2013, JX869059 for EMC/2012, KJ650296 for KFU-HKU19D, KC776174 for Jordan- N3/2012, KJ650297 for KFU-HKU1, KJ156910 for Hafr-Al-Batin2 2013, KF600613 for Riyadh 3 2013, KF186567 for Al-Hasa 1 2013, KC164505 for England1, KF961221 for Qatar3, KJ713299 for KSA-CAMEL-376, KJ156949 for Taif1 2013, KJ556336 for Jeddah1 2013, KJ713297 for KSA-CAMEL-503, KJ713295 for KSA-CAMEL-505, KF192507 for Munich 2013, KJ650098 for Qatar 2 2014, KF745068 for FRA/UAE, KF600630 for Buraidah1 2013, KJ650295 for KFU-HKU13, KF600628 for Hafr-Al-Batin1 2013, KJ713298 for KSA-CAMEL-363, KJ713296 for KSA-CAMEL-378, KF600620 for Bisha1 2012, KC869678 for NeoCoV, NC_005147 for HCoV-OC43, EF065512 for HKU5-5, NC_009020 for HKU5-1, NC_008315 for BtCoV/133, NC_009019 for HKU4-1, KC545386 for EriCoV/2012-216, KC545383 for EriCoV/2012- 174, and KM027259 for Jeddah 2014 C9055.
Supplementary tables S5, S7, S9, S10, original protein models fasta files used for alignments, aligned and manually curated protein modes files used for phylogenies (PHYLIP format), and phylogenetic trees of plant cell wall decomposition gene families from 44 basidiomycete genomes (.tre files)
<p><span><span><span><span><span><span><span><span><span><span><span>Litter-decomposing Agaricales play key role in terrestrial carbon cycling, but little is known about their decomposition mechanisms. We assembled datasets of 42 gene families involved in plant-cell-wall decomposition from seven newly sequenced litter decomposers and 35 other Agaricomycotina members, mostly white-rot and brown-rot species. Using sequence similarity and phylogenetics, we split the families into phylogroups and compared their gene composition across nutritional strategies. Subsequently, we used Raman spectroscopy to examine the ability of litter decomposers, white-rot fungi, and brown-rot fungi to decompose crystalline cellulose. Both litter decomposers and white-rot fungi share the enzymatic cellulose decomposition, whereas brown-rot fungi possess a distinct mechanism that disrupts cellulose crystallinity. However, litter decomposers and white-rot fungi differ with respect to hemicellulose and lignin degradation phylogroups, suggesting adaptation of the former group to the litter environment. Litter decomposers show high phylogroup diversity, which is indicative of high functional versatility within the group, whereas a set of white-rot species shows adaptation to bulk-wood decomposition. In both groups, we detected species that have unique characteristics associated with hitherto unknown adaptations to diverse wood and litter substrates. Our results suggest that the terms white-rot fungi and litter decomposers mask a much larger functional diversity.</span></span></span></span></span></span></span></span></span></span></span></p>
Newick trees for "Within-patient phylogenetic reconstruction reveals early events in Barrett's Esophagus"
<p>Newick format within-patient phylogenetic trees for a Barrett's Esophagus WGS dataset</p>
Scale-dependent drivers of the phylogenetic structure and similarity of tree communities in northwestern Amazonia
<p><span><span><span><span><span><span><span><span><span><span><span><span>1. The extent to which historical dispersal, environmental features and geographic barriers shape the phylogenetic structure and turnover of tree communities in northwestern Amazonia at multiple spatial scales remains poorly understood. </span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span>2. We used 85 floristically standardized 0.1-ha plots (DBH ³ 2.5 cm) distributed in three subregions of northwestern (NW) Amazonia across three main habitat types (floodplain, swamp, terra firme forests), to hypothesize that: i) historical dispersal overcome geographical barriers, which meant low local phylogenetic relatedness and low phylogenetic turnover. ii) Geographical barriers triggered dispersal limitation, causing high local and subregional phylogenetic clustering and high regional phylogenetic turnover. iii) Edaphic properties and flooding were negatively associated to stem size and determined the tree phylogenetic structure and turnover at local and regional scales in Amazon forests.</span></span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><span>3. We found that the extent to which environmental or evolutionary features shaped the phylogenetic structure and phylogenetic similarity of tree communities in NW Amazonia was scale dependent. Specifically, we show that the relative importance of environmental factors increases as spatial scale and species pool decreases. Further, we find that these results are generally robust for both adult and juvenile trees. </span></span></span></span></span></span></span></span></span></span></span></span></p> <p><i>Synthesis</i><span><span><span><span><span><span><span><span><span><span><span><span>: Our analysis at the regional (NW Amazon) scale lends support to the idea of Amazonian forests as a large metacommunity</span></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span><span> primarily structured by historical dispersal at large spatial scales with an increasing importance of environmental factors at finer spatial scales. The convergence of ancestral lineages across </span></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span><span>habitat types </span></span></span></span></span></span></span></span></span></span></span></span><span><span><span><span><span><span><span><span><span><span><span><span>may have been due to the relatively recent formation of geographical barriers that promoted local isolation and allopatric speciation.</span></span></span></span></span></span></span></span></span></span></span></span></p>
................................................................................................................................................. Fig. 5. Phylogenetic tree based on 16S rRNA sequences (a) and gltA sequences (b) showing the position of strains R1T, R3, R4 and R6 in relation to the known Bartonella spp. The tree was rooted by using Brucella abortus (a) and Sinorhizobium meliloti (b) as the outgroup. in Bartonella schoenbuchii sp. nov., isolated from the blood of wild roe deer.
................................................................................................................................................. Fig. 5. Phylogenetic tree based on 16S rRNA sequences (a) and gltA sequences (b) showing the position of strains R1T, R3, R4 and R6 in relation to the known Bartonella spp. The tree was rooted by using Brucella abortus (a) and Sinorhizobium meliloti (b) as the outgroup.
Supplementary information for: Using networks to identify structure in phylogenetic tree sets
<p>Modern phylogenomic studies produce large sets of trees that can represent variation in inferred phylogenies across genes, uncertainty in estimated phylogenies for a given gene, or both. Standard practice is to condense this variation down to a small set of point estimates or consensus trees in order to facilitate display and interpretation. However, doing so results in the loss of enormous amounts of information about the structure of the underlying tree set. Here, we propose new approaches to explore and detect structure in the tree set itself. These approaches rely on the well-developed mathematical foundations of community detection in networks and leverage two different network types. The first type uses nodes to represent trees and connects these nodes with edges whose weights are determined by the similarity (affinity) of the trees. The second type uses nodes to represent bipartitions and connects nodes with edges whose weights represent the covariance in bipartition presence/absence across trees in the set. These two network types carry information that is complementary, but not identical. A variety of methods may be applied to both networks in order to identify interesting community structure. These community detection approaches provide a rich view of the information contained in phylogenomic data sets and facilitate investigation into the forces driving inferred phylogenetic variation across genomes.</p>
FIGURE 1. Maximum Likelihood tree showing phylogenetic relationships among 124 in New insights on the systematics and reproductive behaviour in tree frogs of the genus Feihyla, with description of a new related genus from Asia (Anura, Rhacophoridae)
FIGURE 1. Maximum Likelihood tree showing phylogenetic relationships among 124 representative taxa from all recognised genera of the subfamily Rhacophorinae. Relationships are inferred based on 1,937 bp of mitochondrial (12SrRNA, tRNAVAL, 16SrRNA) and nuclear (RHO and RAG1) genes. Numbers above and below the branches indicate Bayesian Posterior Probabilities and RAxML bootstrap support values, respectively.
Data from: Phylogenetic relationships within the lizard clade Xantusiidae: using trees and divergence times to address evolutionary questions at multiple levels
Xantusiidae (night lizards) is a clade of small-bodied, cryptic lizards endemic to the New World. The clade is characterized by several features that would benefit from interpretation in a phylogenetic context, including: (1) monophyletic status of extant taxa Cricosaura, Lepidophyma, and Xantusia; (2) a species endemic to Cuba (Cricosaura typica) of disputed age; (3) origins of the parthenogenetic species of Lepidophyma; (4) pronounced micro-habitat differences accompanied by distinct morphologies in both Xantusia and Lepidophyma; and (5) placement of Xantusia riversiana, the only vertebrate species endemic to the California Channel Islands, which is highly divergent from its mainland relatives. This study incorporates extensive new character data from multiple gene regions to investigate the phylogeny of Xantusiidae using the most comprehensive taxonomic sampling available to date. Parsimony and partitioned Bayesian analyses of more than 7 kb of mitochondrial and nuclear sequence data from 11 loci all confirm that Xantusiidae is monophyletic, and comprises three well-supported clades: Cricosaura, Xantusia, and Lepidophyma. The Cuban endemic Cricosaura typica is well supported as the sister to all other xantusiids. Estimates of divergence time indicate that Cricosaura diverged from the (Lepidophyma + Xantusia) clade ∼81 million years ago (Ma), a time frame consistent with the separation of the Antilles from North America. Our results also confirm and extend an earlier study suggesting that parthenogenesis has arisen at least twice within Lepidophyma without hybridization, that rock-crevice ecomorphs evolved numerous times (>9) within Xantusia and Lepidophyma, and that the large-bodied Channel Island endemic X. riversiana is a distinct, early lineage that may form the sister group to the small-bodied congeners of the mainland.
Data from: Using parsimony-guided tree proposals to accelerate convergence in Bayesian phylogenetic inference
<p>Sampling across tree space is one of the major challenges in Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) algorithms. Standard MCMC tree moves consider small random perturbations of the topology, and select from candidate trees at random or based on the distance between the old and new topologies. MCMC algorithms using such moves tend to get trapped in tree space, making them slow in finding the globally most probable trees (known as `convergence') and in estimating the correct proportions of the different types of them (known as `mixing'). Here, we introduce a new class of moves, which propose trees based on their parsimony scores. The proposal distribution derived from the parsimony scores is a quickly computable albeit rough approximation of the conditional posterior distribution over candidate trees. We demonstrate with simulations that parsimony-guided moves correctly sample the uniform distribution of topologies from the prior. We then evaluate their performance against standard moves using six challenging empirical datasets, for which we were able to obtain accurate reference estimates of the posterior using long MCMC runs, a mix of topology proposals, and Metropolis coupling. On these datasets, ranging in size from 357 to 934 taxa and from 1,740 to 5,681 sites, we find that single chains using parsimony-guided moves usually converge an order of magnitude faster than chains using standard moves. They also exhibit better mixing, that is, they cover the most probable trees more quickly. Our results show that tree moves based on quick and dirty estimates of the posterior probability can significantly outperform standard moves. Future research will have to show to what extent the performance of such moves can be improved further by finding better ways of approximating the posterior probability, taking the trade-off between accuracy and speed into account.</p>
Data from: Stalking the fourth domain in metagenomic data: searching for, discovering, and interpreting novel, deep branches in phylogenetic trees of phylogenetic marker genes
BACKGROUND: Most of our knowledge about the ancient evolutionary history of organisms has been derived from data associated with specific known organisms (i.e., organisms that we can study directly such as plants, metazoans, and culturable microbes). Recently, however, a new source of data for such studies has arrived: DNA sequence data generated directly from environmental samples. Such metagenomic data has enormous potential in a variety of areas including, as we argue here, in studies of very early events in the evolution of gene families and of species. METHODOLOGY/PRINCIPAL FINDINGS: We designed and implemented new methods for analyzing metagenomic data and used them to search the Global Ocean Sampling (GOS) Expedition data set for novel lineages in three gene families commonly used in phylogenetic studies of known and unknown organisms: small subunit rRNA and the recA and rpoB superfamilies. Though the methods available could not accurately identify very deeply branched ss-rRNAs (largely due to difficulties in making robust sequence alignments for novel rRNA fragments), our analysis revealed the existence of multiple novel branches in the recA and rpoB gene families. Analysis of available sequence data likely from the same genomes as these novel recA and rpoB homologs was then used to further characterize the possible organismal source of the novel sequences. CONCLUSIONS/SIGNIFICANCE: Of the novel recA and rpoB homologs identified in the metagenomic data, some likely come from uncharacterized viruses while others may represent ancient paralogs not yet seen in any cultured organism. A third possibility is that some come from novel cellular lineages that are only distantly related to any organisms for which sequence data is currently available. If there exist any major, but so-far-undiscovered, deeply branching lineages in the tree of life, we suggest that methods such as those described herein currently offer the best way to search for them.
Data from: Species Selection Regime and Phylogenetic Tree Shape
<p>Species selection, the effect of heritable traits in generating between-lineage diversification rate differences, provides a valuable conceptual framework for understanding the relationship between traits, diversification and phylogenetic tree shape. An important challenge, however, is that the nature of real diversification landscapes – curves or surfaces which describe the propensity of species-level lineages to diversify as a function of one or more traits – remains poorly understood. Here we present a novel, time-stratified extension of the QuaSSE model in which speciation/extinction rate is specified as a static or temporally-shifting Gaussian or skewed-Gaussian function of the diversification trait. We then use simulations to show that the generally imbalanced nature of real phylogenetic trees, as well as their generally greater-than-expected frequency of deep branching events, are typical outcomes when diversification is treated as a dynamic, trait-dependent process. Focusing on four basic models (Gaussian-speciation with and without background extinction; skewed-speciation; Gaussian-extinction), we also show that particular features of the species selection regime produce distinct tree shape signatures and that, consequently, a combination of tree shape metrics has the potential to reveal the species selection regime under which a particular lineage diversified. We evaluate this idea empirically by comparing the phylogenetic trees of plant lineages diversifying within climatically- and geologically-stable environments of the Greater Cape Floristic Region, with those of lineages diversifying in environments that have experienced major change through the Late Miocene-Pliocene. Consistent with our expectations, the trees of lineages diversifying in a dynamic context are less balanced, show a greater concentration of branching events close to the present, and display stronger diversification rate-trait correlations. We suggest that species selection plays an important role in shaping phylogenetic trees but recognize the need for an explicit probabilistic framework within which to assess the likelihoods of alternative diversification scenarios as explanations of a particular tree shape.</p>
Phylogenetic tree of S-protein genes of selected betacoronaviruses
<p>The emergence of SARS-CoV-2 has resulted in more than 200,000 infections and nearly 9,000 deaths globally so far. This novel virus is thought to have originated from an animal reservoir, and acquired the ability to infect human cells using the SARS-CoV cell receptor hACE2. In the wake of a global pandemic it is essential to improve our understanding of the evolutionary dynamics surrounding the origin and spread of a novel infectious disease. One way theory predicts selection pressures should shape viral evolution is to enhance binding with host cells. We first assessed evolutionary dynamics in select betacoronavirus spike protein genes to predict where these genomic regions are under directional or purifying selection between divergent viral lineages at various scales of relatedness. With this analysis, we determine a region inside the receptor-binding domain with putative sites under positive selection interspersed among highly conserved sites, which are implicated in structural stability of the viral spike protein and its union with human receptor hACE2. Next, to gain further insights into factors associated with coronaviruses recognition of the human host receptor, we performed modeling studies of five different coronaviruses and their potential binding to hACE2. Modeling results indicate that interfering with the salt bridges at hot spot 353 could be an effective strategy for inhibiting binding, and hence for the prevention of coronavirus infections. We also propose that a glycine residue at the receptor binding domain of the spike glycoprotein can have a critical role in permitting bat variants of the coronaviruses to infect human cells.</p>
Data from: Phylogenetically informed spatial planning is required to conserve the mammalian tree of life
In the face of the current extinction crisis and severely limited conservation resources, safeguarding the tree of life is increasingly recognized as a high priority. We conducted a first systematic global assessment of the conservation of phylogenetic diversity (PD) that uses realistic area targets and highlights the key areas for conservation of the mammalian tree of life. Our approach offers a substantially more effective conservation solution than one focused on species. In many locations, priorities for PD differ substantially from those of a species-based approach that ignores evolutionary relationships. This discrepancy increases rapidly as the amount of land available for conservation declines, as does the relative benefit for mammal conservation (for the same area protected). This benefit is equivalent to an additional 5900 Myr of distinct mammalian evolution captured simply through a better informed choice of priority areas. Our study uses area targets for PD to generate more realistic conservation scenarios, and tests the impact of phylogenetic uncertainty when selecting areas to represent diversity across a phylogeny. It demonstrates the opportunity of using rapidly growing phylogenetic information in conservation planning and the readiness for a new generation of conservation planning applications that explicitly consider the heritage of the tree of life's biodiversity.
Data from: Current climate, isolation and history drive global patterns of tree phylogenetic endemism
Aim: We mapped global patterns of tree phylogenetic endemism (PE) to identify hotspots and test hypotheses about possible drivers. Specifically, we tested hypotheses related to current climate, geographical characteristics and historical conditions, and assessed their relative importance in shaping PE patterns. Location: Global. Time period: We used the present distribution of trees, and predictors covering conditions from the mid-Miocene to present. Major taxa studied: All seed-bearing trees. Methods: We compiled distributions for 58,542 tree species across 463 regions worldwide, matched these to a recent phylogeny of seed plants, and calculated PE for each region. We used a suite of predictor variables describing current climate (e.g. mean annual temperature), geographical characteristics (e.g. isolation) and historical conditions (e.g. tree cover at the last glacial maximum) in a spatial regression model to explain variation in PE. Results: Tree PE was highest on islands, and was higher closer to the equator. All three groups of predictor variables contributed substantially to the PE pattern. Isolation and topographic heterogeneity promoted high PE, as did high current tree cover. Among mainland regions, temperature seasonality was strongly negatively related to PE, while mean annual temperature was positively related to PE on islands. Some relationships differed among the major floristic regions. For example, tree cover at the last glacial maximum was a positive predictor of PE in the Paleotropics, while tree cover at the Miocene was a negative predictor of PE in the Neotropics. Main conclusions: Globally, PE can be explained by a combination of geographic, historical, and current factors. Some geographic variables appear to be key predictors of PE. However, the impact of historic and current climate variables differs considerably among the major floristic regions, reflecting their unique histories. Hence, the current distribution of trees is the result of globally relevant geographic drivers and regional climatic histories.
Data from: A metacalibrated time-tree documents the early rise of flowering plant phylogenetic diversity
The establishment of modern terrestrial life is indissociable from angiosperm evolution. While available molecular clock estimates of angiosperm age range from the Paleozoic to the Late Cretaceous, the fossil record is consistent with angiosperm diversification in the Early Cretaceous. The time-frame of angiosperm evolution is here estimated using a sample representing 87% of families and sequences of five plastid and nuclear markers, implementing penalized likelihood and Bayesian relaxed clocks. A literature-based review of the palaeontological record yielded calibrations for 137 phylogenetic nodes. The angiosperm crown age was bound within a confidence interval calculated with a method that considers the fossil record of the group. An Early Cretaceous crown angiosperm age was estimated with high confidence. Magnoliidae, Monocotyledoneae and Eudicotyledoneae diversified synchronously 135–130 million yr ago (Ma); Pentapetalae is 126–121 Ma; and Rosidae (123–115 Ma) preceded Asteridae (119–110 Ma). Family stem ages are continuously distributed between c. 140 and 20 Ma. This time-frame documents an early phylogenetic proliferation that led to the establishment of major angiosperm lineages, and the origin of over half of extant families, in the Cretaceous. While substantial amounts of angiosperm morphological and functional diversity have deep evolutionary roots, extant species richness was probably acquired later.
Figure 1. Maximum likelihood phylogenetic tree obtained from 514 in Target-enriched DNA sequencing from historical type material enables a partial revision of the Madagascar giant stream frogs (genus Mantidactylus)
Figure 1. Maximum likelihood phylogenetic tree obtained from 514 bp of the mitochondrial 16S rRNA gene. The values at the nodes are the bootstrap supports (not given for intra-lineage nodes for improved clarity). The type specimens of M. guttulatus and M. grandidieri from the London and Paris museum collections are highlighted in red and brown, respectively.
FIGURE 8. Single most parsimonious tree obtained for Chilicola s in Revision and phylogenetic analysis of Chilicola sensu stricto (Hymenoptera: Colletidae) with the description of a new species
FIGURE 8. Single most parsimonious tree obtained for Chilicola s. str. Support values are shown (GC value/frequency slope/Bremer support). Length: 100, CI: 62, RI: 67. The secondary sexual expansion of the male hind tibia has been mapped onto the phylogeny (blue branch without preapical concavity; red branches with preapical concavity).
FIGURE 7. Phylogenetic tree from Bayesian analysis. Thick branches indicate posterior probabilities over 80 in Revision of the Ranitomeya fantastica species complex with description of two new species from Central Peru (Anura: Dendrobatidae)
FIGURE 7. Phylogenetic tree from Bayesian analysis. Thick branches indicate posterior probabilities over 80.
FIGURE 5 Bayesian phylogenetic tree inferred from SSU gene DNA sequences. Posterior probabilities great than 50 in New Zealand species of the genus Tripyla Bastian, 1865 (Nematoda: Triplonchida: Tripylidae). I: A new species, a new record and key to long-tailed species
FIGURE 5 Bayesian phylogenetic tree inferred from SSU gene DNA sequences. Posterior probabilities great than 50% are given on appropriate clades. Nematode species, GenBank numbers, locations are listed for each taxon if known.
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