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PubMed2002

Increased taxon sampling greatly reduces phylogenetic error.

Several authors have argued recently that extensive taxon sampling has a positive and important effect on the accuracy of phylogenetic estimates. However, other authors have argued that there is little benefit of extensive taxon sampling, and so phylogenetic problems can or should be reduced to a few exemplar taxa as a means of reducing the computational complexity of the phylogenetic analysis. In this paper we examined five aspects of study design that may have led to these different perspectives. First, we considered the measurement of phylogenetic error across a wide range of taxon sample sizes, and conclude that the expected error based on randomly selecting trees (which varies by taxon sample size) must be considered in evaluating error in studies of the effects of taxon sampling. Second, we addressed the scope of the phylogenetic problems defined by different samples of taxa, and argue that phylogenetic scope needs to be considered in evaluating the importance of taxon-sampling strategies. Third, we examined the claim that fast and simple tree searches are as effective as more thorough searches at finding near-optimal trees that minimize error. We show that a more complete search of tree space reduces phylogenetic error, especially as the taxon sample size increases. Fourth, we examined the effects of simple versus complex simulation models on taxonomic sampling studies. Although benefits of taxon sampling are apparent for all models, data generated under more complex models of evolution produce higher overall levels of error and show greater positive effects of increased taxon sampling. Fifth, we asked if different phylogenetic optimality criteria show different effects of taxon sampling. Although we found strong differences in effectiveness of different optimality criteria as a function of taxon sample size, increased taxon sampling improved the results from all the common optimality criteria. Nonetheless, the method that showed the lowest overall performance (minimum evolution) also showed the least improvement from increased taxon sampling. Taking each of these results into account re-enforces the conclusion that increased sampling of taxa is one of the most important ways to increase overall phylogenetic accuracy.

Likelihood Functions↗

PubMed2007

Phylogenetic measures of biodiversity.

We developed a theoretical framework based on phylogenetic comparative methods to integrate phylogeny into three measures of biodiversity: species variability, richness, and evenness. These metrics can be used in conjunction with permutation procedures to test for phylogenetic community structure. As an illustration, we analyzed data on the composition of 58 lake fish communities in Wisconsin. The fish communities showed phylogenetic underdispersion, with communities more likely to contain closely related species. Using information about differences in environmental characteristics among lakes, we demonstrated that phylogenetic underdispersion in fish communities was associated with environmental factors. For example, lakes with low pH were more likely to contain species in the same clade of acid-tolerant species. Our metrics differ from existing metrics used to calculate phylogenetic community structure, such as net relatedness index and Faith's phylogenetic diversity. Our metrics have the advantage of providing an integrated and easy-to-understand package of phylogenetic measures of species variability, richness, and evenness with well-defined statistical properties. Furthermore, they allow the easy evaluation of contributions of individual species to different aspects of the phylogenetic organization of communities. Therefore, these metrics should aid with the incorporation of phylogenetic information into strategies for understanding biodiversity and its conservation.

Animals↗

PubMed2005

More genes or more taxa? The relative contribution of gene number and taxon number to phylogenetic accuracy.

The relative contribution of taxon number and gene number to accuracy in phylogenetic inference is a major issue in phylogenetics and of central importance to the choice of experimental strategies for the successful reconstruction of a broad sketch of the tree of life. Maximization of the number of taxa sampled is the strategy favored by most phylogeneticists, although its necessity remains the subject of debate. Vast increases in gene number are now possible due to advances in genomics, but large numbers of genes will be available for only modest numbers of taxa, raising the question of whether such genome-scale phylogenies will be robust to the addition of taxa. To examine the relative benefit of increasing taxon number or gene number to phylogenetic accuracy, we have developed an assay that utilizes the symmetric difference tree distance as a measure of phylogenetic accuracy. We have applied this assay to a genome-scale data matrix containing 106 genes from 14 yeast species. Our results show that increasing taxon number correlates with a slight decrease in phylogenetic accuracy. In contrast, increasing gene number has a significant positive effect on phylogenetic accuracy. Analyses of an additional taxon-rich data matrix from the same yeast clade show that taxon number does not have a significant effect on phylogenetic accuracy. The positive effect of gene number and the lack of effect of taxon number on phylogenetic accuracy are also corroborated by analyses of two data matrices from mammals and angiosperm plants, respectively. We conclude that, for typical data sets, the number of genes utilized may be a more important determinant of phylogenetic accuracy than taxon number.

Evolution, Molecular↗

PubMed2001

Commensal Escherichia coli isolates are phylogenetically distributed among geographically distinct human populations.

An intraspecies phylogenetic grouping of 168 human commensal Escherichia coli strains isolated from the stools of three geographically distinct human populations (France, Croatia, Mali) was generated by triplex PCR. The distributions of seven known extraintestinal virulence determinants (ibeA, pap, sfa/foc, afa, hly, cnf1, aer) were also determined by PCR. The data from the three populations were compiled, which showed that strains from phylogenetic groups A (40%) and B1 (34%) were the most common, followed by phylogenetic group D strains (15%). Strains of the phylogenetic group B2 were rare (11%). However, a significant specific distribution for strains of groups A, B1 and B2 within each population was observed, which may indicate the influence of (i) geographic/climatic conditions, (ii) dietary factors and/or the use of antibiotics or (iii) host genetic factors on the commensal flora. Virulence determinants were rarely detected, with only 25.6% of the strains harbouring at least one of the virulence genes tested. The strains with virulence factors most frequently belonged to phylogenetic group B2. The commensal strains of phylogenetic groups A, B1 and D had fewer virulence determinants than pathogenic strains of the corresponding groups when these data were compared with those for previous collections of virulent extraintestinal infection strains studied using the same approach. However, the virulence patterns of commensal and pathogenic B2 phylogenetic group strains were the same. The data thus suggest that strains of the A, B1 and D phylogenetic groups predominate in the gut flora and that these strains must acquire virulence factors to become pathogenic. In contrast, commensal phylogenetic group B2 strains are rare but appear to be potentially virulent.

Croatia↗

PubMed2006

Multi-locus phylogeny of dolphins in the subfamily Lissodelphininae: character synergy improves phylogenetic resolution.

BACKGROUND: Dolphins of the genus Lagenorhynchus are anti-tropically distributed in temperate to cool waters. Phylogenetic analyses of cytochrome b sequences have suggested that the genus is polyphyletic; however, many relationships were poorly resolved. In this study, we present a combined-analysis phylogenetic hypothesis for Lagenorhynchus and members of the subfamily Lissodelphininae, which is derived from two nuclear and two mitochondrial data sets and the addition of 34 individuals representing 9 species. In addition, we characterize with parsimony and Bayesian analyses the phylogenetic utility and interaction of characters with statistical measures, including the utility of highly consistent (non-homoplasious) characters as a conservative measure of phylogenetic robustness. We also explore the effects of removing sources of character conflict on phylogenetic resolution. RESULTS: Overall, our study provides strong support for the monophyly of the subfamily Lissodelphininae and the polyphyly of the genus Lagenorhynchus. In addition, the simultaneous parsimony analysis resolved and/or improved resolution for 12 nodes including: (1) L. albirostris, L. acutus; (2) L. obscurus and L. obliquidens; and (3) L. cruciger and L. australis. In addition, the Bayesian analysis supported the monophyly of the Cephalorhynchus, and resolved ambiguities regarding the relationship of L. australis/L. cruciger to other members of the genus Lagenorhynchus. The frequency of highly consistent characters varied among data partitions, but the rate of evolution was consistent within data partitions. Although the control region was the greatest source of character conflict, removal of this data partition impeded phylogenetic resolution. CONCLUSION: The simultaneous analysis approach produced a more robust phylogenetic hypothesis for Lagenorhynchus than previous studies, thus supporting a phylogenetic approach employing multiple data partitions that vary in overall rate of evolution. Even in cases where there was apparent conflict among characters, our data suggest a synergistic interaction in the simultaneous analysis, and speak against a priori exclusion of data because of potential conflicts, primarily because phylogenetic results can be less robust. For example, the removal of the control region, the putative source of character conflict, produced spurious results with inconsistencies among and within topologies from parsimony and Bayesian analyses.

Actins↗

PubMed2006

Phylogenetic structure of Floridian plant communities depends on taxonomic and spatial scale.

Consideration of the scale at which communities are defined both taxonomically and spatially can reconcile apparently contradictory results on the extent to which plants show phylogenetic niche conservatism. In plant communities in north central Florida, we collected species abundances in 55 0.1-ha plots in several state parks. When communities were defined narrowly to include a single phylogenetic lineage, such as Quercus, Pinus, or Ilex, neighbors tended to be less related than expected (phylogenetic overdispersion) or there was no pattern. If the same communities were defined more broadly, such as when all seed plants were included, neighbors tended to be more related than expected (phylogenetic clustering). These results provide evidence that species interactions among close relatives influence community structure, but they also show that niche conservatism is increasingly evident as communities are defined to include greater phylogenetic diversity. We also found that, as the spatial scale is increased to encompass greater environmental heterogeneity, niche conservatism emerges as the dominant pattern. We then examined patterns of trait evolution in relation to trait similarity within communities for 11 functional traits for a single phylogenetic lineage (Quercus) and for all woody plants. Among the oaks, convergent evolution of traits important for environmental filtering contributes to the observed pattern of phylogenetic overdispersion. At the broader taxonomic scale, traits tend to be conserved, giving rise to phylogenetic clustering. The shift from overdispersion to clustering can be explained by the increasing conservatism of traits at broader phylogenetic scales.

Biological Evolution↗

PubMed2003

Efficient reconstruction of phylogenetic networks with constrained recombination.

A phylogenetic network is a generalization of a phylogenetic tree, allowing structural properties that are not tree-like. With the growth of genomic data, much of which does not fit ideal tree models, there is greater need to understand the algorithmics and combinatorics of phylogenetic networks [10, 11]. However, to date, very little has been published on this, with the notable exception of the paper by Wang et al.[12]. Other related papers include [4, 5, 7] We consider the problem introduced in [12], of determining whether the sequences can be derived on a phylogenetic network where the recombination cycles are node disjoint. In this paper, we call such a phylogenetic network a "galled-tree". By more deeply analysing the combinatorial constraints on cycle-disjoint phylogenetic networks, we obtain an efficient algorithm that is guaranteed to be both a necessary and sufficient test for the existence of a galled-tree for the data. If there is a galled-tree, the algorithm constructs one and obtains an implicit representation of all the galled trees for the data, and can create these in linear time for each one. We also note two additional results related to galled trees: first, any set of sequences that can be derived on a galled tree can be derived on a true tree (without recombination cycles), where at most one back mutation is allowed per site; second, the site compatibility problem (which is NP-hard in general) can be solved in linear time for any set of sequences that can be derived on a galled tree. The combinatorial constraints we develop apply (for the most part) to node-disjoint cycles in any phylogenetic network (not just galled-trees), and can be used for example to prove that a given site cannot be on a node-disjoint cycle in any phylogenetic network. Perhaps more important than the specific results about galled-trees, we introduce an approach that can be used to study recombination in phylogenetic networks that go beyond galled-trees.

Computer Simulation↗

PubMed2005

Predicting protein functional sites with phylogenetic motifs.

In this report, we demonstrate that phylogenetic motifs, sequence regions conserving the overall familial phylogeny, represent a promising approach to protein functional site prediction. Across our structurally and functionally heterogeneous data set, phylogenetic motifs consistently correspond to functional sites defined by both surface loops and active site clefts. Additionally, the partially buried prosthetic group regions of cytochrome P450 and succinate dehydrogenase are identified as phylogenetic motifs. In nearly all instances, phylogenetic motifs are structurally clustered, despite little overall sequence proximity, around key functional site features. Based on calculated false-positive expectations and standard motif identification methods, we show that phylogenetic motifs are generally conserved in sequence. This result implies that they can be considered motifs in the traditional sense as well. However, there are instances where phylogenetic motifs are not (overall) well conserved in sequence. This point is enticing, because it implies that phylogenetic motifs are able to identify key sequence regions that traditional motif-based approaches would not. Further, phylogenetic motif results are also shown to be consistent with evolutionary trace results, and bootstrapping is used to demonstrate tree significance.

Amino Acid Motifs↗

PubMed2004

Utilization of the relative complexity measure to construct a phylogenetic tree for fungi.

The relative complexity measure (RCM) is a new approach to evaluate relatedness of DNA sequences which eliminates the requirement to align sequences prior to analysis, a step required with standard reference methods. The value of the RCM approach to generate distance matrices for use in phylogenetic analysis of organisms has not been determined. This study compared RCM with the algorithmic and tree searching reference methods for phylogenetic analysis using fungal sequences. Sequences of the cytochrome b gene and the 18S rDNA gene were obtained from the GenBank database to determine feasibility of this method for phylogenetic relatedness. The RCM approach was also used to construct a phylogenetic tree using internal transcribed spacer (ITS) sequences from 23 medically relevant fungal species. The robustness of the RCM and reference approaches was determined by comparing the topology of seven medically relevant fungi within the phylogenetic trees generated after progressive removal of 10, 20, 30, 40 and 50% of the nucleotide bases from either the 5' or 3' end of the three genomic target sequences. The results demonstrated that the RCM method was equivalent to the reference methods for construction of phylogenetic trees from cytochrome b and 18S rDNA gene sequences. The phylogenetic tree constructed using the ITS sequence generated no contradictory topology. The RCM generated trees retained the appropriate topology after removal of up to 50% of the cytochrome b sequence, 40% of the ITS sequence, and 30% of the 18S gene target sequence. Comparatively, the reference methods failed to maintain topology after only a 10% sequence deletion for each genomic target. The results showed the RCM to be a reliable and robust computational approach for use in the construction of fungal phylogenetic trees without the requirement for prior sequence alignment.

Algorithms↗

PubMed2002

A phylogenetic supertree of the bats (Mammalia: Chiroptera).

We present the first estimate of the phylogenetic relationships among all 916 extant and nine recently extinct species of bats Mammalia: Chiroptera), a group that accounts for almost one-quarter of extant mammalian diversity. This phylogeny was derived by combining 105 estimates of bat phylogenetic relationships published since 1970 using the supertree construction technique of Matrix Representation with Parsimony (MRP). Despite the explosive growth in the number of phylogenetic studies of bats since 1990, phylogenetic relationships in the order have been studied non-randomly. For example, over one-third of all bat systematic studies to date have locused on relationships within Phyllostomidae, whereas relationships within clades such as Kerivoulinae and Murinae have never been studied using cladistic methods. Resolution in the supertree similarly differs among clades: overall resolution is poor (46.4%, of a fully bifurcating solution) but reaches 100% in some groups (e.g. relationships within Mormoopidae). The supertree analysis does not support a recent proposal that Microchiroptera is paraphyletic with respect to Megachiroptera, as the majority of source topologies support microbat monophyly. Although it is not a substitute for comprehensive phylogenetic analyses of primary molecular and morphological data, the bat supertree provides a useful tool for future phylogenetic comparative and macroevolutionary studies. Additionally, it identifies clades that have been little studied, highlights groups within which relationships are controversial, and like all phylogenetic studies, provides preliminary hypotheses that can form starting points for future phylogenetic studies of bats.

Animals↗

PubMed1999

Phylogenetic approaches to nomenclature: a comparison based on a nemertean case study.

Phylogenetic approaches to biological nomenclature are becoming increasingly common. Here I compare the behaviour of two such approaches, the phylogenetic system of definition and the phylogenetic system of reference, when there is a shift in the preference of phylogenetic hypotheses. The comparison is based on a case study from nemertean systematics and is the first to compare two different phylogenetic approaches throughout three stages of change, including two stages of phylogenetic nomenclature. It is concluded that a phylogenetic system of reference in combination with uninomials is superior in conveying phylogenetic information.

Animals↗

PubMed1996

Phylogenetic relationships among members of the ascomycetous yeast genera Brettanomyces, Debaryomyces, Dekkera, and Kluyveromyces deduced by small-subunit rRNA gene sequences.

A molecular systematic investigation of members of the ascomycetous yeast genera Brettanomyces, Debaryomyces, Dekkera, and Kluyveromyces was performed by using 18S rRNA gene sequence analysis. Our comparative sequence analysis revealed that Brettanomyces anomalus and Brettanomyces bruxellensis were closely related to one another and also to their teleomorphs, Dekkera anomala and Dekkera bruxellensis, respectively. Together with Dekkera custersiana and Dekkera naardenensis, these four species formed a stable and distinct phylogenetic group. The three representative species of the genus Debaryomyces examined (viz., Debaryomyces castellii, Debaryomyces hansenii, and Debaryomyces udenii) were found to be genealogically highly related to each other and exhibited a specific phylogenetic affinity (level of sequence similarity, approximately 99.2%) with Candida guilliermondii (teleomorph, Pichia guilliermondii). Debaryomyces species and C. guilliermondii formed a distinct phylogenetic group, which displayed a significant association with a phylogenetically coherent cluster encompassing Lodderomyces elongisporus, Candida albicans, and four other Candida species. In contrast to the situation with the genera Brettanomyces and Debaryomyces, the genus Kluyveromyces displayed very marked phylogenetic heterogeneity. Kluyveromyces polysporus, the type species of the genus Kluyveromyces, and six other Kluyveromyces species (viz., Kluyveromyces africanus, Kluyveromyces delphensis, Kluyveromyces lodderae, Kluyveromyces thermotolerans, Kluyveromyces waltii, and Kluyveromyces yarrowii) were phylogenetically intermixed with species of the genera Zygosaccharomyces, Saccharomyces, and Torulaspora. In contrast, Kluyveromyces aestuarii, Kluyveromyces dobzhanskii, Kluyveromyces lactis, Kluyveromyces wickerhamii, and three Kluyveromyces marxianus varieties, along with their anamorph, Candida kefyr, formed a highly stable monophyletic group worthy of separate generic status. Kluyveromyces blattae and Kluyveromyces phaffii formed two distinct phylogenetic lines that did not exhibit particularly close affinity with each other or other ascomycetous yeast genera. Our phylogenetic findings are discussed in the context of the results of other genotypic and phenotypic studies.

Ascomycota↗

PubMed2004

The genus Spiroplasma and its non-helical descendants: phylogenetic classification, correlation with phenotype and roots of the Mycoplasma mycoides clade.

The genus Spiroplasma (helical mollicutes: Bacteria: Firmicutes: Mollicutes: Entomoplasmatales: Spiroplasmataceae) is associated primarily with insects. The Mycoplasma mycoides cluster (sensu Weisburg et al. 1989 and Johansson and Pettersson 2002) is a group of mollicutes that includes the type species - Mycoplasma mycoides - of Mycoplasmatales, Mycoplasmataceae and Mycoplasma. This cluster, associated solely with ruminants, contains five other species and subspecies. Earlier phylogenetic reconstructions based on partial 16S rDNA sequences and a limited sample of Spiroplasma and Mycoplasma sequences suggested that the genus Mycoplasma was polyphyletic, as the M. mycoides cluster and the grouping that consisted of the hominis and pneumoniae groups of Mycoplasma species were widely separated phylogenetically and the M. mycoides cluster was allied with Spiroplasma. It is shown here that the M. mycoides cluster arose from Spiroplasma through an intermediate group of non-helical spiroplasmal descendants - the Entomoplasmataceae. As this conclusion has profound implications in the taxonomy of Mollicutes, a detailed phylogenetic study of Spiroplasma and its non-helical descendants was undertaken. These analyses, done with maximum-parsimony, provide cladistic status; a new nomenclature is introduced here, based on 'bottom-up' rather than 'top-down' clade classification. The order Entomoplasmatales consists of four major clades: (i) the Mycoides-Entomoplasmataceae clade, which contains M. mycoides and its allies and Entomoplasma and Mesoplasma species and is a sister lineage to (ii) the Apis clade of Spiroplasma. Spiroplasma and the Entomoplasmataceae are paraphyletic, but this status does not diminish their phylogenetic usefulness. Five species that were previously unclassified phylogenetically are basal to the Apis clade sensu strictu and to the Mycoides clade. One of these species, Spiroplasma sp. TIUS-1, has very poor helicity and a very small genome (840 kbp); this putative species can be envisioned as a 'missing link' in the evolution of the Mycoides-Entomoplasmataceae clade. The other two Spiroplasma clades are: (iii) the Citri-Chrysopicola-Mirum clade (serogroups I, II, V and VIII) and (iv) the ixodetis clade (serogroup VI). As Mesoplasma lactucae represents a basal divergence within the Mycoides-Entomoplasmataceae clade, and as Entomoplasma freundtii is basal to the Mycoides clade, M. mycoides and its allies must have arisen from an ancestor in the Entomoplasmataceae. The paraphyletic grouping that consists of the Hominis and Pneumoniae groups (sensu Johansson & Pettersson 2002) of Mycoplasma species contains the ancestral roots of Ureaplasma spp. and haemoplasmas. This clade is a sister lineage to the Entomoplasmatales clade. Serological classifications of spiroplasma are very highly supported by the trees presented. Genome size and G+C content of micro-organismal DNA were moderately conserved, but there have been frequent and polyphyletically distributed genome reductions. Sterol requirements were polyphyletic, as was the ability to grow in the presence of polyoxyethylene sorbitan-supplemented, but not serum-supplemented, media. As this character is not phylogenetically distributed, Mesoplasma and Entomoplasma should be combined into a single genus. The phylogenetic trees presented here confirm previous reports of polyphyly of the genus Mycoplasma. As both clades of Mycoplasma contain several species of great practical importance, a change of the genus name for species in either clade would have immense practical implications. In addition, a change of the genus name for M. mycoides would have to be approved by the Judicial Commission. For these reasons, the Linnaean and phylogenetic classifications of Mycoplasma must for now be discrepant.

Base Composition↗

PubMed2000

Estimating phylogenetic inertia in Tithonia (Asteraceae): a comparative approach.

Phylogenetic inertia is a difficult issue in evolutionary biology because we have yet to reach a consensus about how to measure it. In this study a comparative approach is used to evaluate phylogenetic inertia in 14 demographic and morphological characters in 10 species and one subspecies of the genus Tithonia (Asteraceae). Three different methods, autocorrelational analysis, phylogenetic correlograms, and ancestor-state reconstruction, were used to evaluate phylogenetic inertia in these traits. Results were highly dependent on the method applied. Autoregression and phylogenetic eigenvector regression (PVR) methods found more inertia in morphological traits. In contrast, phylogenetic correlograms and ancestor-state reconstruction suggest that morphological characters exhibit less phylogenetic inertia than demographic ones. The differences between results are discussed and methods are compared in an effort to understand phylogenetic inertia more thoroughly.

Asteraceae↗

PubMed2003

Testing for phylogenetic signal in comparative data: behavioral traits are more labile.

The primary rationale for the use of phylogenetically based statistical methods is that phylogenetic signal, the tendency for related species to resemble each other, is ubiquitous. Whether this assertion is true for a given trait in a given lineage is an empirical question, but general tools for detecting and quantifying phylogenetic signal are inadequately developed. We present new methods for continuous-valued characters that can be implemented with either phylogenetically independent contrasts or generalized least-squares models. First, a simple randomization procedure allows one to test the null hypothesis of no pattern of similarity among relatives. The test demonstrates correct Type I error rate at a nominal alpha = 0.05 and good power (0.8) for simulated datasets with 20 or more species. Second, we derive a descriptive statistic, K, which allows valid comparisons of the amount of phylogenetic signal across traits and trees. Third, we provide two biologically motivated branch-length transformations, one based on the Ornstein-Uhlenbeck (OU) model of stabilizing selection, the other based on a new model in which character evolution can accelerate or decelerate (ACDC) in rate (e.g., as may occur during or after an adaptive radiation). Maximum likelihood estimation of the OU (d) and ACDC (g) parameters can serve as tests for phylogenetic signal because an estimate of d or g near zero implies that a phylogeny with little hierarchical structure (a star) offers a good fit to the data. Transformations that improve the fit of a tree to comparative data will increase power to detect phylogenetic signal and may also be preferable for further comparative analyses, such as of correlated character evolution. Application of the methods to data from the literature revealed that, for trees with 20 or more species, 92% of traits exhibited significant phylogenetic signal (randomization test), including behavioral and ecological ones that are thought to be relatively evolutionarily malleable (e.g., highly adaptive) and/or subject to relatively strong environmental (nongenetic) effects or high levels of measurement error. Irrespective of sample size, most traits (but not body size, on average) showed less signal than expected given the topology, branch lengths, and a Brownian motion model of evolution (i.e., K was less than one), which may be attributed to adaptation and/or measurement error in the broad sense (including errors in estimates of phenotypes, branch lengths, and topology). Analysis of variance of log K for all 121 traits (from 35 trees) indicated that behavioral traits exhibit lower signal than body size, morphological, life-history, or physiological traits. In addition, physiological traits (corrected for body size) showed less signal than did body size itself. For trees with 20 or more species, the estimated OU (25% of traits) and/or ACDC (40%) transformation parameter differed significantly from both zero and unity, indicating that a hierarchical tree with less (or occasionally more) structure than the original better fit the data and so could be preferred for comparative analyses.

Animals↗

PubMed2005

Exploration of phylogenetic data using a global sequence analysis method.

BACKGROUND: Molecular phylogenetic methods are based on alignments of nucleic or peptidic sequences. The tremendous increase in molecular data permits phylogenetic analyses of very long sequences and of many species, but also requires methods to help manage large datasets. RESULTS: Here we explore the phylogenetic signal present in molecular data by genomic signatures, defined as the set of frequencies of short oligonucleotides present in DNA sequences. Although violating many of the standard assumptions of traditional phylogenetic analyses--in particular explicit statements of homology inherent in character matrices--the use of the signature does permit the analysis of very long sequences, even those that are unalignable, and is therefore most useful in cases where alignment is questionable. We compare the results obtained by traditional phylogenetic methods to those inferred by the signature method for two genes: RAG1, which is easily alignable, and 18S RNA, where alignments are often ambiguous for some regions. We also apply this method to a multigene data set of 33 genes for 9 bacteria and one archea species as well as to the whole genome of a set of 16 gamma-proteobacteria. In addition to delivering phylogenetic results comparable to traditional methods, the comparison of signatures for the sequences involved in the bacterial example identified putative candidates for horizontal gene transfers. CONCLUSION: The signature method is therefore a fast tool for exploring phylogenetic data, providing not only a pretreatment for discovering new sequence relationships, but also for identifying cases of sequence evolution that could confound traditional phylogenetic analysis.

Algorithms↗

PubMed2026

Can't see the forest for the trees: The influence of marker type on inferred phylogenetic relationships in a cosmopolitan bat genus.

Fine-resolution information on species relationships and biological diversity is critically needed to guide conservation efforts amidst rapid environmental changes. Systematics, which forms the foundation of this knowledge, has been revolutionized by phylogenomics, utilizing genome-scale datasets. However, the use of diverse marker types, non-comparable taxon sampling, and outgroup selection can lead to conflicting phylogenetic hypotheses. These inconsistencies complicate study comparisons and hinder our ability to assess marker-specific impacts on phylogenetic resolution. The phylogenetic reconstruction of the bat genus Myotis, encompassing over 140 species and characterized by a rapid radiation in the last 20 million years, has been particularly influenced by these challenges. Achieving phylogenetic resolution in Myotis is particularly complex due to subtle interspecific differences in both morphological and molecular traits. Mitochondrial and nuclear markers often produce discordant trees, influenced by hybridization, introgression, and methodological variations. In this study, we employed a consistent taxonomic sample set of 44 Myotis taxa to evaluate the impact of five different genetic marker types on phylogenetic reconstruction. We observed significant discordance between topologies derived from conserved nuclear and mitochondrial markers and found that transposable elements were inadequate for resolving relationships across the entire genus. Our results also clarify the placement of previously problematic taxa within the genus. These findings emphasize the importance of aligning genetic marker choice with specific phylogenetic questions and highlight the influence of taxonomic and methodological variation on phylogenomic outcomes. This work provides a framework for improving phylogenetic inference in rapidly radiating groups and enhances our understanding of evolutionary history in Myotis.

Animals↗

PubMed1996

Early evolution of the Metazoa and phylogenetic status of diploblasts as inferred from amino acid sequence of elongation factor-1 alpha.

To understand the early evolution of the Metazoa, it is necessary to determine the correct phylogenetic status of diploblastic animals (poriferan, cnidaria, and ctenophora). Despite clasdistic studies of morphological characters and recent molecular phylogenetic studies, it remains uncertain whether diploblasts are monophyletic or paraphyletic, and how these three phyla of diploblasts are phylogenetically related. To obtain insight into these phylogenetic problems, we sequenced almost the entire nucleic acid sequence of elongation factor-1 alpha from a sponge, two cnidarians, a ctenophora, and a turbellarian. We then investigated the phylogenetic status of the diploblasts. We compared the amino acid sequences, nucleotide sequences at the first and second codon positions, and those at the second positions. Phylogenetic trees were inferred by neighbor-joining, maximum likelihood, and maximum parsimony, and they supported the monophyly of the Metazoa. However, the phylogenetic relationships of the diploblast groups were not significantly resolved, although the trees preferred the monopoly of the diploblasts.

Amino Acid Sequence↗