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PubMed1997

The relationship between evolutionary theory and phylogenetic analysis.

The relationship between phylogenetic reconstruction and evolutionary theory is reassessed. It is argued here that phylogenies, and evolutionary principles, should be analysed initially as independently from each other as possible. Only then can they be used to test one another. If the phylogenies and evolutionary principles are totally consistent with one another, this consilience of independent lines of evidence increases confidence in both. If, however, there is a conflict, then one should assess the relative support for each hypothesis, and tentatively accept the more strongly supported one. We review examples where the phylogenetic hypothesis is preferred over the evolutionary principle, and vice versa, and instances where the conflict cannot be readily resolved. Because the analyses of pattern and process must initially be kept separate, the temporal order in which they are performed is unimportant. Therefore, the widespread methodology of always proceeding from cladogram to evolutionary 'scenario' cannot be justified philosophically. Such an approach means that cladograms cannot be properly tested against evolutionary principles, and that evolutionary 'scenarios' have no independent standing. Instead, we propose the 'consilience' approach where phylogenetic and evolutionary hypotheses are formulated independently from each other and then examined for agreement.

Animals↗
PubMed1991

[Quantitative analysis of the teleost brain: evolutionary and adaptive characteristics of encephalization. III. Multivariate analysis of the cephalic index].

A multivariate analysis of 9 brain indices from 83 teleost species showed a marked opposition between the non-olfactory telencephalon (and diencephalon) and the medulla oblongata (phylogenetic characters) and between the olfactory bulbs and the optic tectum (adaptive characters). Results of three different classifying algorithms allowed determination of 6 stable groupings and 9 intermediate ones, some with systematic importance and some purely adaptive. For this reason brain organization criteria must be used with precaution for systematic purposes. Nevertheless, the position of Brotula multibarbata showed that this fish is an evolved acanthopterygian.

Adaptation, Physiological↗
PubMed2006

Phylogenetic relationships among clonal groups of extraintestinal pathogenic Escherichia coli as assessed by multi-locus sequence analysis.

The evolutionary origins of extraintestinal pathogenic Escherichia coli (ExPEC) remain uncertain despite these organisms' relevance to human disease. A valid understanding of ExPEC phylogeny is needed as a framework against which the observed distribution of virulence factors and clinical associations can be analyzed. Accordingly, phylogenetic relationships were defined by multi-locus sequence analysis among 44 representatives of selected ExPEC clonal groups and the E. coli Reference (ECOR) collection. Recombination, which significantly obscured the phylogenetic signal for several strains, was dealt with by excluding strains or specific sequences. Conflicting overall phylogenies, and internal phylogenies for virulence-associated phylogenetic group B2, were inferred depending on the specific dataset (i.e., how extensively purged of recombination), outgroup (Salmonella enterica and/or Escherichia fergusonii), and analysis method (neighbor joining, maximum parsimony, maximum likelihood, or Bayesian likelihood). Nonetheless, the major E. coli phylogenetic groups A, B1, and B2 were consistently well resolved, as was a major sub-component of group D and an ECOR 37-O157:H7 clade. Moreover, nine important ExPEC clonal groups within groups B2 and D, characterized by serotypes O6:K2:H1, O18:K1:H7, O6:H31, and O4:K+:H+ (from group B2), and O1:K1:H-, O7:K1:H-, O157:K+:H (non-7), O15:K52:H1, and O11/17/77:K52:H18 ("clonal group A") (from group D), were consistently well resolved, regardless of clinical background (cystitis, pyelonephritis, neonatal meningitis, sepsis, or fecal), host group, geographical origin, and virulence profile. Among the group B2-derived clonal groups the O6:K2:H1 clade appeared basal. Within group D, "clonal group A" and the O15:K52:H1 clonal group were consistently placed with ECOR 47 and ECOR 44, respectively, as nearest neighbors. These findings clarify phylogenetic relationships among key ExPEC clonal groups but also emphasize that recombination appears to obscure the oldest evolutionary relationships, despite extensive targeted sequencing and use of a wide range of analysis techniques.

Animals↗
PubMed1986

Evolutionary origin of autoreactive determinants (autogens).

The question addressed in this report focuses on the autoantigenicity of self antigens, principally cytochrome c and lysozyme. Of interest is whether the immune system produces autoantibodies to its host proteins reacting randomly with all potential antigen sites or is autoreactively selective for certain determinants. Based on experimental evidence from autoantibodies against cytochromes c, Jemmerson and Margoliash [Jemmerson, R. & Margoliash, E. (1979) Nature (London) 282, 468-471] have described a striking correlation between autoreactive sequence regions and evolutionary instability. While their analysis of evolutionary variation was based on simple sequence variability plots, we present here a refined approach that takes into account the distinction between evolutionary substitutions that induce a change in the protein surface from those that do not (surface-neutral substitutions). A quantitative aspect of surface variation (surface consensus) is included in the algorithm that produces a ranked order for autoantigenic determinants. The final plot, called surface variability, indicates sequence regions having a preference for autoimmune reaction. We propose the term "autogen" to designate such protein determinants.

Amino Acid Sequence↗
PubMed1995

Sequence similarity analysis of Escherichia coli proteins: functional and evolutionary implications.

A computer analysis of 2328 protein sequences comprising about 60% of the Escherichia coli gene products was performed using methods for database screening with individual sequences and alignment blocks. A high fraction of E. coli proteins--86%--shows significant sequence similarity to other proteins in current databases; about 70% show conservation at least at the level of distantly related bacteria, and about 40% contain ancient conserved regions (ACRs) shared with eukaryotic or Archaeal proteins. For > 90% of the E. coli proteins, either functional information or sequence similarity, or both, are available. Forty-six percent of the E. coli proteins belong to 299 clusters of paralogs (intraspecies homologs) defined on the basis of pairwise similarity. Another 10% could be included in 70 superclusters using motif detection methods. The majority of the clusters contain only two to four members. In contrast, nearly 25% of all E. coli proteins belong to the four largest superclusters--namely, permeases, ATPases and GTPases with the conserved "Walker-type" motif, helix-turn-helix regulatory proteins, and NAD(FAD)-binding proteins. We conclude that bacterial protein sequences generally are highly conserved in evolution, with about 50% of all ACR-containing protein families represented among the E. coli gene products. With the current sequence databases and methods of their screening, computer analysis yields useful information on the functions and evolutionary relationships of the vast majority of genes in a bacterial genome. Sequence similarity with E. coli proteins allows the prediction of functions for a number of important eukaryotic genes, including several whose products are implicated in human diseases.

Algorithms↗
PubMed1999

Elasticity analysis as an important tool in evolutionary and population ecology.

Elasticity analysis estimates the proportional change in the population growth rate for a proportional change in a vital rate (i.e. survival, growth or reproduction). It can be used to pinpoint those parts of an organism's life history that should be the focus of management effort, or those that contribute most to fitness. Recent theoretical work has emphasized some limitations of the technique, has overcome other problems, and has shown that it is robust to some violations of its underlying assumptions. Thus, although care is needed, elasticity analysis is a simple first step in answering important questions in evolutionary and population ecology.

Journal Article↗
PubMed1993

P-glycoprotein structure and evolutionary homologies.

Analysis of multidrug resistant cell lines has led to the identification of the P-glycoprotein multigene family. Two of the three classes of mammalian P-glycoproteins have the ability to confer cellular resistance to a broad range of structurally and functionally diverse cytotoxic agents. P-glycoproteins are integral membrane glycoproteins comprised of two similar halves, each consisting of six membrane spanning domains followed by a cytoplasmic domain which includes a nucleotide binding fold. The P-glycoprotein is a member of a large superfamily of transport proteins which utilize ATP to translocate a wide range of substrates across biological membranes. This superfamily includes transport complexes comprised of multicomponent systems, half P-glycoproteins and P-glycoprotein-like homologs which appear to require 12 alpha-helical transmembrane domains and two nucleotide binding folds for substrate transport. P-glycoprotein homologs have been isolated and characterized from a wide range of species. Amino acid sequences, the similarities between the halves and intron/exon boundaries have been compared to understand the evolutionary origins of the P-glycoprotein.

ATP Binding Cassette Transporter, Subfamily B, Mem↗
PubMedDate not supplied

Introducing the consensus modeling concept in genetic algorithms: application to interpretable discriminant analysis.

An evolutionary statistical learning method was applied to classify drugs according to their biological target and also to discriminate between a compilation of oral and nonoral drugs. The emphasis was placed not only on how well the models predict but also on their interpretability. In an enhancement to previous studies, the consistency of the model weights over several runs of the genetic algorithm was considered with the goal of producing comprehensible models. Via this approach, the descriptors and their ranges that contribute most to class discrimination were identified. Selecting a bin step size that enables the average descriptor properties of the class being trained to be captured improves the interpretability and discriminatory power of a model. The performance, consistency, and robustness of such models were further enhanced by using two novel approaches that reduce the variability between individual solutions: consensus and splice modeling. Finally, the ability of the genetic algorithm to discriminate between activity classes was compared with a similarity searching method, while naïve Bayes classifiers and support vector machines were applied in discriminating the oral and nonoral drugs.

Algorithms↗
PubMed2004

Poxvirus genomes: a phylogenetic analysis.

The evolutionary relationships of 26 sequenced members of the poxvirus family have been investigated by comparing their genome organization and gene content and by using DNA and protein sequences for phylogenetic analyses. The central region of the genome of chordopoxviruses (ChPVs) is highly conserved in gene content and arrangement, except for some gene inversions in Fowlpox virus (FPV) and species-specific gene insertions in FPV and Molluscum contagiosum virus (MCV). In the central region 90 genes are conserved in all ChPVs, but no gene from near the termini is conserved throughout the subfamily. Inclusion of two entomopoxvirus (EnPV) sequences reduces the number of conserved genes to 49. The EnPVs are divergent from ChPVs and between themselves. Relationships between ChPV genera were evaluated by comparing the genome size, number of unique genes, gene arrangement and phylogenetic analyses of protein sequences. Overall, genus Avipoxvirus is the most divergent. The next most divergent ChPV genus is Molluscipoxvirus, whose sole member, MCV, infects only man. The Suipoxvirus, Capripoxvirus, Leporipoxvirus and Yatapoxvirus genera cluster together, with Suipoxvirus and Capripoxvirus sharing a common ancestor, and are distinct from the genus Orthopoxvirus (OPV). Within the OPV genus, Monkeypox virus, Ectromelia virus and Cowpox virus strain Brighton Red (BR) do not group closely with any other OPV, Variola virus and Camelpox virus form a subgroup, and Vaccinia virus is most closely related to CPV-GRI-90. This suggests that CPV-BR and GRI-90 should be separate species.

Amino Acid Sequence↗
PubMed2006

Evolutionary trace report_maker: a new type of service for comparative analysis of proteins.

: Evolutionary trace report_maker offers a new type of service for researchers investigating the function of novel proteins. It pools, from different sources, information about protein sequence, structure and elementary annotation, and to that background superimposes inference about the evolutionary behavior of individual residues, using real-valued evolutionary trace method. As its only input it takes a Protein Data Bank identifier or UniProt accession number, and returns a human-readable document in PDF format, supplemented by the original data needed to reproduce the results quoted in the report.

Algorithms↗
PubMed1996

Spectral analysis of clinical signals: an interface between medical statisticians and medical engineers.

This paper reviews the current use of spectral analysis in clinical medicine. We cover the problems of aliasing and estimation of the spectrum using windowing and autoregressive techniques. These techniques are modified for nonstationary data to include evolutionary spectral analysis and recursive autoregressive methods. The relationship between evolutionary spectral analysis and the time-frequency methods such as the Wigner-Ville distribution is discussed. Other techniques covered are Walsh Transforms and cosinor analysis. The methods are shown to apply in the analysis of signals from heart rate, blood pressure, EEG, other electrical signals and hormone levels. The engineering and statistical approaches are contrasted.

Blood Pressure↗
PubMed1981

Intra- and interspecific variation of the mitochondrial genome in Rattus norvegicus and Rattus rattus: restriction enzyme analysis of variant mitochondrial DNA molecules and their evolutionary relationships.

Restriction endonuclease analysis has revealed extensive mtDNA polymorphism in two species of rats, Rattus rattus and Rattus norvegicus. Sequence divergence values for the eight detected R. norvegicus variants range from 0.2% to 1.8% and for the eight R. rattus variants, from 0.2% to 9.6%. Three of the most closely related R. norvegicus mtDNA's appear to differ by deletions/insertions of about 4 base pairs apiece. Restriction sites for seven enzymes have been mapped for 11 of these variants. The 31 intraspecific and 41 interspecific variant sites appear to be evenly distributed on the mtDNA molecule outside of the rRNA cistrons. The location of sites present in all the DNAs suggests that the rRNA genes and possibly the light strand origin of replication may be more highly evolutionarily conserved than other parts of the molecule. The sequence divergences among the mtDNAs of animals whose geographic origins are separated by major barriers, such as oceans, were significantly greater than those among animals found within large land masses, such as the continental United States. Dendrograms (phenograms), which have been constructed to depict the relationships among the various DNAs, indicate that East Asian members of the R. rattus species are more closely related to American rats of this species than to other Asian R. rattus animals from Sri Lanka. Moreover, it appears that R. norvegicus comprises a group taxonomically distinct from any of the R. rattus subspecies.

Animals↗
PubMed2006

Evolutionary clues from comparative analysis of Mycobacterium tuberculosis variable-number tandem repeat sequences within genetic families.

Mycobacterium tuberculosis is one of the most successful bacterial pathogens in the history of mankind, and the study of the evolutionary and genetic behaviour of this organism is ongoing. The potential of variable-number tandem repeat (VNTR) regions to provide insight into the evolutionary past of this organism has yet to be evaluated. The aim of this study was to investigate diversity occurring within VNTR loci within established evolutionary lineages. Mycobacterial interspersed repetitive unit (MIRU) 4 and 26 nucleotide sequencing was undertaken revealing significant differences in VNTR discriminatory power and distribution of allelic types within defined sub-lineages, within a moderately discriminant and a highly discriminant locus, respectively. These findings indicate potential allele bias at these loci within the defined groups dependent on the genotype of their progenitor strain, and the patterns of distribution suggest that a step-wise contraction/expansion process is responsible for VNTR repeat evolution. The results also identified a possible incidence of genetic drift within major genetic group 2 (MGG2), which has a point mutation at locus MIRU26 in a clonal subgroup.

Amino Acid Sequence↗
PubMed2002

Complexities in ETS-domain transcription factor function and regulation: lessons from the TCF (ternary complex factor) subfamily. The Colworth Medal Lecture.

The ETS-domain transcription factor family can be divided into a series of subfamilies. Elk-1 represents the founding member of the ternary complex factor (TCF) subfamily. By focusing on the TCF subfamily, we can demonstrate the complexities that exist in the function and regulation of ETS-domain transcription factors. This article focuses on Elk-1 in detail and summarizes the functions of other TCFs. The key themes covered include the domain structure of the TCFs, the mechanisms of complex formation with serum response factor, regulation of TCFs by mitogen-activated protein kinase cascades, and transcriptional regulatory properties of the TCFs. Finally, the emerging role of the TCFs in vivo is discussed. A picture is developing indicating that, while these proteins exhibit significant sequence and functional conservation, key differences in their structure and regulation are being identified which may relate to unique functions of these proteins in vivo.

Amino Acid Sequence↗
PubMed2004

Evolutionary expressed sequence tag analysis of Drosophila female reproductive tracts identifies genes subjected to positive selection.

Genes whose products are involved in reproduction include some of the fastest-evolving genes found within the genomes of several organisms. Drosophila has long been used to study the function and evolutionary dynamics of genes thought to be involved in sperm competition and sexual conflict, two processes that have been hypothesized to drive the adaptive evolution of reproductive molecules. Several seminal fluid proteins (Acps) made in the Drosophila male reproductive tract show evidence of rapid adaptive evolution. To identify candidate genes in the female reproductive tract that may be involved in female-male interactions and that may thus have been subjected to adaptive evolution, we used an evolutionary bioinformatics approach to analyze sequences from a cDNA library that we have generated from Drosophila female reproductive tracts. We further demonstrate that several of these genes have been subjected to positive selection. Their expression in female reproductive tracts, presence of signal sequences/transmembrane domains, and rapid adaptive evolution indicate that they are prime candidates to encode female reproductive molecules that interact with rapidly evolving male Acps.

Animals↗
PubMed2005

Candidate nsSNPs that can affect the functions and interactions of cell cycle proteins.

Nonsynonymous single nucleotide polymorphisms (nsSNPs) alter the encoded amino acid sequence, and are thus likely to affect the function of the proteins, and represent potential disease-modifiers. There is an enormous number of nsSNPs in the human population, and the major challenge lies in distinguishing the functionally significant and potentially disease-related ones from the rest. In this study, we analyzed the genetic variations that can alter the functions and the interactions of a group of cell cycle proteins (n = 60) and the proteins interacting with them (n = 26) using computational tools. As a result, we extracted 249 nsSNPs from 77 cell cycle proteins and their interaction partners from public SNP databases. Only 31 (12.4%) of the nsSNPs were validated. The majority (64.5%) of the validated SNPs were rare (minor allele frequencies < 5%). Evolutionary conservation analysis using the SIFT tool suggested that 16.1% of the validated nsSNPs may disrupt the protein function. In addition, 58% of the validated nsSNPs were located in functional protein domains/motifs, which together with the evolutionary conservation analysis enabled us to infer possible biological consequences of the nsSNPs in our set. Our study strongly suggests the presence of naturally occurring genetic variations in the cell cycle proteins that may affect their interactions and functions with possible roles in complex human diseases, such as cancer.

Alleles↗
PubMed2003

NMR structure of the forkhead-associated domain from the Arabidopsis receptor kinase-associated protein phosphatase.

Forkhead-associated (FHA) domains are phosphoprotein-binding modules found in diverse signaling proteins that bind partners phosphorylated on threonine or serine. Kinase-associated protein phosphatase from Arabidopsis employs its FHA domain for negative regulation of receptor-like kinase signaling pathways, which are important in plant development. The solution structure of the free state of kinase-interacting FHA domain (KI-FHA) of kinase-associated protein phosphatase has been determined with high precision and accuracy using residual dipolar couplings. KI-FHA is a sandwich of a five-stranded mixed beta-sheet with a six-stranded antiparallel beta-sheet. Despite homology only in the recognition loops, this fold is shared with FHA domains from checkpoint proteins from yeast and humans, as well as with nonhomologous MH2 domains of Smad tumor suppressors. A shared pattern of hydrophobicity throughout FHA domains and Smad MH2 domains may stabilize the core of the beta-sandwich. Evolutionary trace analysis of FHA domains suggests class-specific residues in the recognition loops that could tune their phosphoprotein-binding specificity. This surface agrees with that of KI-FHA in contact with a phosphothreonine peptide ligand. Evolutionary trace analysis also predicts an unexpected swath of class-specific residues on another face of FHA domains. Protein interactions with these faces may affect assembly of transmembrane signaling complexes in plants, and in other FHA domain-containing assemblies.

Amino Acid Sequence↗
PubMed2005

Uncovering the design principles of circadian clocks: mathematical analysis of flexibility and evolutionary goals.

In this paper, we present the mathematical details underlying both an approach to the flexibility of regulatory networks and an analytical characterization of evolutionary goals of circadian clock networks. A fundamental problem in cellular regulation is to understand the relation between the form of regulatory networks and their function. Circadian clocks present a particularly interesting instance of this. Recent work has shown that they have complex structures involving multiple interconnected feedback loops with both positive and negative feedback. We address the question of why they have such a complex structure and argue that it is to provide the flexibility necessary to simultaneously attain multiple key properties of circadian clocks such as robust entrainment and temperature compensation. To do this we address two fundamental problems: (A) to understand the relationships between the key evolutionary aims of the clock and (B) to ascertain how flexible the clock's structure is. To address the first problem we use infinitesimal response curves (IRCs), a tool that we believe will be of general utility in the analysis of regulatory networks. To understand the second problem we introduce the flexibility dimension d, show how to calculate it and then use it to analyse a range of models. We believe our results will generalize to a broad range of regulatory networks.

Animals↗