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PubMed2004

Evolutionary genetic analysis of the emergence of epidemic Vibrio cholerae isolates on the basis of comparative nucleotide sequence analysis and multilocus virulence gene profiles.

Vibrio cholerae, the causative agent of cholera, is a natural inhabitant of the aquatic ecosystem. We examined a unique collection of V. cholerae clinical and environmental isolates of widespread geographic distribution recovered over a 60-year period to determine their evolutionary genetic relationships based on analysis of two housekeeping genes, malate dehydrogenase (mdh) and a chaperonin (groEL). In addition, the phylogenetic distribution of 12 regions associated with virulence was determined. Comparative sequence analysis of mdh revealed that all V. cholerae O1 and O139 serogroup isolates belonged to the same clonal lineage. Single-strand conformational polymorphism (SSCP) analysis of these O1 and O139 strains at groEL confirmed the presence of an epidemic clonal complex. Of the 12 virulence regions examined, only three regions, Vibrio seventh pandemic island 1 (VSP-I), VSP-II, and RS1, were absent from all classical V. cholerae isolates. Most V. cholerae El Tor biotype and O139 serogroup isolates examined encoded all 12 virulence regions assayed. Outside of V. cholerae O1/O139 serogroup isolates, only one strain, VO7, contained VSP-I. Two V. cholerae El Tor isolates, GP155 and 2164-78, lacked both VSP-I and VSP-II, and one El Tor isolate, GP43, lacked VSP-II. Five non-O1/non-O139 serogroup isolates had an mdh sequence identical to that of the epidemic O1 and O139 strains. These isolates, similar to classical strains, lack both VSP-I and VSP-II. Four of the 12 virulence regions examined were found to be present in all isolates: hlyA, pilE, MSHA and RTX. Among non-O1/non-O139 isolates, however, the occurrence of the additional eight regions was considerably lower. The evolutionary relationships and multilocus virulence gene profiles of V. cholerae natural isolates indicate that consecutive pandemic strains arose from a common O1 serogroup progenitor through the successive acquisition of new virulence regions.

Bacterial Proteins↗

PubMed2005

An evolutionary concept analysis of caring.

AIM: The aim of this paper is to identify the core, enduring attributes of nursing caring in order to increase understanding of the concept and to identify its implications for research and practice. BACKGROUND: Caring is considered a core concept in nursing as a practice discipline. During the past 20 years, research into nurse caring has been evolving, but the concept of caring remains ambiguous. METHODS: Using a rigorous evolutionary method of concept analysis, the concept caring was examined for its significance, use and application as it has unfolded over time, between 1988 and 2002. After applying inclusion and exclusion criteria and a sampling method, a total of 61 articles was included in the final analysis. RESULTS: Defining attributes, antecedents, and consequences of caring were identified. Core attributes included relationship, action, attitude, acceptance and variability. CONCLUSION: Identification of the core attributes of concepts, including caring, allows nurses to determine appropriate research questions, develop theory and identify practice priorities at a time of increasing demands and constrained resources.

Attitude of Health Personnel↗

PubMed2005

VariScan: Analysis of evolutionary patterns from large-scale DNA sequence polymorphism data.

SUMMARY: VeriScan is a software package for the analysis of DNA sequence polymorphisms at the whole genome scale. Among other features, the software (1) can conduct many population genetic analyses; (2) incorporates a multiresolution wavelet transform-based method that allows capturing relevant information from DNA polymorphism data; (3) facilitates the visualization of the results in the most commonly used genome browsers.

Algorithms↗

PubMed2004

Evolutionary trace analysis of scorpion toxins specific for K-channels.

Scorpion alpha-K(+) channel toxins are a large family of polypeptides with a similar structure but diverse pharmacological activities. Despite many structural and functional data available at present, little progress has been made in understanding the toxin's molecular basis responsible for the functional diversification. In this paper, we report the first complete cDNA sequences of toxins belonging to subfamily 6 and identify five new members, called alpha-KTx 6.6-6.10. By analyzing the rates of mutations that occurred in the corresponding cDNAs, we suggest that accelerated evolution in toxin-coding regions may be associated with the functional diversification of this subfamily. To pinpoint sites probably involved in the functional diversity of alpha-KTx family, we analyzed this family of sequences using the evolutionary trace method. This analysis highlighted one channel-binding surface common for all the members. This surface is composed of one conserved lysine residue at position 29 assisted by other residues at positions 10, 26, 27, 32, 34, and 36. Of them, the positions 29, 32, and 34 have been reported to be the most major determinants of channel specificity. Interestingly, another contrary surface was also observed at a higher evolutionary time cut-off value, which may be involved in the binding of ERG (ether-a-go-go-related gene) channel-specific toxins. The good match between the trace residues and the functional epitopes of the toxins suggested that the evolutionary trace results reported here can be applied to predict channel-binding sites of the toxins. Because, the side-chain variation in the trace positions is strongly linked with the functional alteration and channel-binding surface transfer of alpha-KTx family, we conclude that our findings should also be important for the rational design of new toxins targeting a given potassium channel with high selectivity.

Animals↗

PubMed2006

PUMA2--grid-based high-throughput analysis of genomes and metabolic pathways.

The PUMA2 system (available at http://compbio.mcs.anl.gov/puma2) is an interactive, integrated bioinformatics environment for high-throughput genetic sequence analysis and metabolic reconstructions from sequence data. PUMA2 provides a framework for comparative and evolutionary analysis of genomic data and metabolic networks in the context of taxonomic and phenotypic information. Grid infrastructure is used to perform computationally intensive tasks. PUMA2 currently contains precomputed analysis of 213 prokaryotic, 22 eukaryotic, 650 mitochondrial and 1493 viral genomes and automated metabolic reconstructions for >200 organisms. Genomic data is annotated with information integrated from >20 sequence, structural and metabolic databases and ontologies. PUMA2 supports both automated and interactive expert-driven annotation of genomes, using a variety of publicly available bioinformatics tools. It also contains a suite of unique PUMA2 tools for automated assignment of gene function, evolutionary analysis of protein families and comparative analysis of metabolic pathways. PUMA2 allows users to submit batch sequence data for automated functional analysis and construction of metabolic models. The results of these analyses are made available to the users in the PUMA2 environment for further interactive sequence analysis and annotation.

Computational Biology↗

PubMed2003

Detailed computational study of p53 and p16: using evolutionary sequence analysis and disease-associated mutations to predict the functional consequences of allelic variants.

Deciding whether a missense allelic variant affects protein function is important in many contexts. We previously demonstrated that a detailed analysis of p53 intragenic conservation correlates with somatic mutation hotspots. Here we refine these evolutionary studies and expand them to the p16/Ink4a gene. We calculated that in order for 'absolute conservation' of a codon across multiple species to achieve P<0.05, the evolutionary substitution database must contain at least 3(M) variants, where M equals the number of codons in the gene. Codons in p53 were divided into high (73% of codons), intermediate (29% of codons), and low (0 codons) likelihood of being mutation hotspots. From a database of 263 somatic missense p16 mutations, we identified only four codons that are mutational hotspots at P<0.05 (8 mutations). However, data on function, structure, and disease association support the conclusion that 11 other codons with > or =5 somatic mutations also likely indicate functionally critical residues, even though P0.05. We calculated p16 evolution using amino acid substitution matrices and nucleotide substitution distances. We looked for evolutionary parameters at each codon that would predict whether missense mutations were disease associated or disrupted function. The current p16 evolutionary substitution database is too small to determine whether observations of 'absolute conservation' are statistically significant. Increasing the number of sequences from three to seven significantly improved the predictive value of evolutionary computations. The sensitivity and specificity for conservation scores in predicting disease association of p16 codons is 70-80%. Despite the small p16 sequence database, our calculations of high conservation correctly predicted loss of cell cycle arrest function in 75% of tested codons, and low conservation correctly predicted wild-type function in 80-90% of codons. These data validate our hypothesis that detailed evolutionary analyses help predict the consequences of missense amino-acid variants.

Amino Acid Sequence↗

PubMed2003

The logic of social sharing: an evolutionary game analysis of adaptive norm development.

Although norms can potentially serve useful constructs to understand human minds, being fundamentally social in evolutionary as well as cultural senses, there are as yet no useful psychological theories of adaptive norm development. This article provides an illustrative model about how a norm emerges in a society. We focus on the "communal-sharing norm" in primordial societies, a norm designating uncertain resources as common properties to be shared with other members. Based on anthropological findings, we develop a theory about how the communal-sharing norm emerges and is maintained. Then, using evolutionary computer simulations, we test several hypotheses about the conditions under which the norm will dominate social resource sharing. We further test behavioral implications of the norm, demonstrating that uncertainty involved in resource acquisition is a key factor that triggers the psychology of sharing even in highly industrialized societies. Finally, we discuss the importance of norm construct for analyzing the dynamic relation between minds and society.

Adaptation, Psychological↗

PubMed2005

Prediction and evolutionary information analysis of protein solvent accessibility using multiple linear regression.

A multiple linear regression method was applied to predict real values of solvent accessibility from the sequence and evolutionary information. This method allowed us to obtain coefficients of regression and correlation between the occurrence of an amino-acid residue at a specific target and its sequence neighbor positions on the one hand, and the solvent accessibility of that residue on the other. Our linear regression model based on sequence information and evolutionary models was found to predict residue accessibility with 18.9% and 16.2% mean absolute error respectively, which is better than or comparable to the best available methods. A correlation matrix for several neighbor positions to examine the role of evolutionary information at these positions has been developed and analyzed. As expected, the effective frequency of hydrophobic residues at target positions shows a strong negative correlation with solvent accessibility, whereas the reverse is true for charged and polar residues. The correlation of solvent accessibility with effective frequencies at neighboring positions falls abruptly with distance from target residues. Longer protein chains have been found to be more accurately predicted than their smaller counterparts.

Amino Acids↗

PubMed2002

Cognitive requirements for hawk-dove games: A functional analysis for evolutionary design.

Like other social animals, humans play adaptively important games, and current evolutionary theory predicts special-purpose, domain-specific cognitive mechanisms for playing such games. We offer a functional analysis of the information requirements for successfully playing one important social game, the "hawk-dove" conflict-of-interest game, developing new graphic conventions for doing so. In particular, we address the orders of recognition necessary for successfully playing such games, showing that there are adaptive advantages of capacities for first, second, third, and fourth such orders, but no more. We suggest that first-order recognition is not only the most basic in analytic terms but is likely to have been the first to evolve, with subsequent orders added later in evolution.

Journal Article↗

PubMed1994

A discrete Fourier analysis for evolutionary trees.

Discrete Fourier transformations have recently been developed to model the evolution of two-state characters (the Cavender/Farris model). We report here the extension of these transformations to provide invertible relationships between a phylogenetic tree T (with three probability parameters of nucleotide substitution on each edge corresponding to Kimura's 3ST model) and the expected frequencies of the nucleotide patterns in the sequences. We refer to these relationships as spectral analysis. In either model with independent and identically distributed site substitutions, spectral analysis allows a global correction for all multiple substitutions (second- and higher-order interactions), independent of any particular tree. From these corrected data we use a least-squares selection procedure, the closest tree algorithm, to infer an evolutionary tree. Other selection criteria such as parsimony or compatibility analysis could also be used; each of these criteria will be statistically consistent for these models. The closest tree algorithm selects a unique best-fit phylogenetic tree together with independent edge length parameters for each edge. The method is illustrated with an analysis of some primate hemoglobin sequences.

Animals↗

PubMed2003

High-dimensional analysis of evolutionary autonomous agents.

This article presents a new approach to the important challenge of localizing function in a neurocontroller. The approach is based on the basic functional contribution analysis (FCA) presented earlier, which assigns contribution values to the elements of the network, such that the ability to predict the network's performance in response to multi-unit lesions is maximized. These contribution values quantify the importance of each element to the tasks the agent performs. Here we present a generalization of the basic FCA to high-dimensional analysis, using high-order compound elements. Such elements are composed of conjunctions of simple elements. Their usage enables the explicit expression of sets of neurons or synapses whose contributions are interdependent, a prerequisite for localizing the function of complex neurocontrollers. High-dimensional FCA is shown to significantly improve on the accuracy of the basic analysis, to provide new insights concerning the main subsets of simple elements in the network that interact in a complex nonlinear manner, and to systematically reveal the types of interactions that characterize the evolved neurocontroller.

Artificial Intelligence↗

PubMed2006

A method for rapid similarity analysis of RNA secondary structures.

BACKGROUND: Owing to the rapid expansion of RNA structure databases in recent years, efficient methods for structure comparison are in demand for function prediction and evolutionary analysis. Usually, the similarity of RNA secondary structures is evaluated based on tree models and dynamic programming algorithms. We present here a new method for the similarity analysis of RNA secondary structures. RESULTS: Three sets of real data have been used as input for the example applications. Set I includes the structures from 5S rRNAs. Set II includes the secondary structures from RNase P and RNase MRP. Set III includes the structures from 16S rRNAs. Reasonable phylogenetic trees are derived for these three sets of data by using our method. Moreover, our program runs faster as compared to some existing ones. CONCLUSION: The famous Lempel-Ziv algorithm can efficiently extract the information on repeated patterns encoded in RNA secondary structures and makes our method an alternative to analyze the similarity of RNA secondary structures. This method will also be useful to researchers who are interested in evolutionary analysis.

Algorithms↗

PubMed2003

Molecular studies on Babesia, Theileria and Hepatozoon in southern Europe. Part II. Phylogenetic analysis and evolutionary history.

Following a study on molecular epizootiology of Hepatozoon canis and piroplasmids (Babesia spp. and Theileria spp.) in southern Europe, newly obtained sequences of 18s rRNA gene were used for phylogenetic analysis. Partial sequences were analysed in isolates showing high degree of homology (>99%) with previous GenBank entries: H. canis, B. canis vogeli, B. equi (two isolates, Spain1 and Spain2), T. annulata and Theileria sp. The complete gene sequences were used for B. ovis and B. bovis, that showed lower homology (<95%) with rapport to previously reported species or isolates. A first set of phylogenetic trees constructed with partial 18s rRNA sequences showed that most European isolates clustered unambiguously with previously described species, so that minor sequence dissimilarities found are due probably to strain variations. The second set of phylogenetic trees was made using the complete 18s rRNA sequences of 44 species from GenBank and the newly sequenced B. ovis and B. bovis. The analysis revealed for the first time a division of piroplasmids in five clades: (1) B. microti group, with B. rodhaini, B. felis, B. leo, B. microti and T. annae (proposed name for the group, without taxonomic value: Archaeopiroplasmids), (2) Western USA Theilerid-like group (proposed name: Prototheilerids), (3) Theileria group, containing all Theileria species from Bovinae (proposed name: Theilerids), (4) A first group of Babesia species including B. canis and B. gibsoni from canids together with B. divergens and B. odocoilei (proposed name: Babesids), (5) A second group composed mainly by Babesia species from ungulates: B. caballi, B. bigemina, B. ovis, B. bovis and Babesia sp. from cow (proposed name: Ungulibabesids). The bootstrap support obtained with several analytical procedures for this new dicotomy of Babesiidae was always very high. Taking into account the present phylogenetic analysis and additional paleogeographic, parasitological and zoological evidences, two hypothesis on the origin and evolution of piroplasmids groups are presented.

Animals↗

PubMed1996

Population haplotype analysis and evolutionary relations of the COL2A1 gene.

We have determined the allele frequencies and pairwise linkage disequilibria of restriction fragment length polymorphisms (RFLPs) distributed over the entire COL2A1 gene (spanning 23.6 kb) in a population of unrelated Dutch Caucasians. Pairwise linkage disequilibrium analysis of RFLP sites between exon 5B and 51 indicated a high degree of partly positive (the rare alleles of both loci are associated) and partly negative (the rare allele is associated with the common allele) linkage disequilibrium. The high degree of linkage disequilibrium enabled the assignment of 13 out of 128 possible haplotypes with 7 RFLPs. An evolutionary tree of these haplotypes was derived using a minimum spanning tree approach, indicating at least two ancestral haplotypes. Our data indicate that disease related population studies involving the COL2A1 gene should include a minimum of 4 RFLPs (D9, A9, H33, P51) to obtain 98% of possible haplotypes occurring.

Collagen↗

PubMed1995

Sequence analysis and evolutionary aspects of piscine alpha-1-microglobulin/bikunin mRNA transcripts.

Studies on mammalian alpha-1-microglobulin/bikunin (AMBP) protein sequences suggest the ancestral AMBP gene arose between 270 and 80 million years ago. Here we report a similar study including recently reported piscine AMBP messenger RNA sequences. The analysis implies a far earlier data for the assembly of the ancestral AMBP gene, more than 450 million years ago. Similarly, a revised date for the origin of the ancestral Kunitz-type protein is estimated at approximately 875 million years ago. Evolutionary conservation is apparent among all the AMBP amino acid sequences. This implies a common functional significance in both teleosts and mammals. However, an unusually rapid rate of evolution is observed for domain II of the piscine bikunin sequences, suggesting that this domain is no longer truly orthologous in fish.

Alpha-Globulins↗

PubMed2006

Strain-specific single-nucleotide polymorphism assays for the Bacillus anthracis Ames strain.

Highly precise diagnostics and forensic assays can be developed through a combination of evolutionary analysis and the exhaustive examination of genomic sequences. In Bacillus anthracis, whole-genome sequencing efforts revealed ca. 3,500 single-nucleotide polymorphisms (SNPs) among eight different strains and evolutionary analysis provides the identification of canonical SNPs. We have previously shown that SNPs are highly evolutionarily stable, and the clonal nature of B. anthracis makes them ideal signatures for subtyping this pathogen. Here we identified SNPs that define the lineage of B. anthracis that contains the Ames strain, the strain used in the 2001 bioterrorist attacks in the United States. Sequencing and real-time PCR were used to validate these SNPs across B. anthracis strains, including (i) 88 globally and genetically diverse isolates; (ii) isolates that were shown to be genetic relatives of the Ames strain by multiple-locus variable number tandem repeat analysis (MLVA); and (iii) several different lab stocks of the Ames strain, including a clinical isolate from the 2001 letter attack. Six SNPs were found to be highly specific for the Ames strain; four on the chromosome, one on the pX01 plasmid, and one on the pX02 plasmid. All six SNPs differentiated the B. anthracis Ames strain from the 88 unique B. anthracis strains, while five of the six separated Ames from its close genetic relatives. The use of these SNPs coupled with real-time PCR allows specific and sensitive (<100 fg of template DNA) identification of the Ames strain. This evolutionary and genomics-based approach provides an effective means for the discovery of strain-specific SNPs in B. anthracis.

Anthrax↗

PubMed2025

Meta-evolutionary exome analysis identifies novel type 2 diabetes mellitus genes in the UK Biobank and all of us.

Type 2 diabetes mellitus (T2DM) risk is heavily influenced by genetics, yet current association tests have explained only parts of its heritability. We developed MEVA (Meta-Evolutionary Action), a meta-analytic framework that integrates three complementary methods-EAML, Sigma-Diff, and GeneEMBED-to assess the functional burden of protein-coding variants using evolutionary data. MEVA was applied to exome data from 28,115 T2DM cases and 28,115 controls in the UK Biobank (UKB), identifying 101 genes (p < 1e-5). MEVA outperformed its component methods, each of which substantially outperformed a conventional burden test (MAGMA), in recovering known T2DM genes (AUROC = 0.925) and maintaining robustness in progressively smaller cohorts (AUROC = 0.917). MEVA showed significant enrichment for T2DM-related loci (p = 6.8e-10, p = 2.0e-34), protein interactions (z = 4.6, z = 4.2), pathways (p = 1.3e-6, z = 2.0), phenotypes (p = 1.3e-21, z = 9.1), and literature mentions (z = 7.2). Replication in 16,915 T2DM cases and 16,915 controls from All of Us (AoU) yielded 99 genes (p < 1e-5), 23 of which were also recovered in the UKB cohort - far exceeding random chance. These included established genes (SLC30A8, WFS1, HNF1A) and less-characterized candidates (NRIP1, ADAM30, CALCOCO2, TUBB1, ZFP36L2, WDR90). Notably, NRIP1 loss-of-function variants were associated with increased T2DM risk in both the UKB (OR = 1.09, FDR = 5.4e-4) and AoU (OR = 1.09, FDR = 0.046), and TUBB1 and CALCOCO2 gain-of-function variants showed consistent risk effects (FDR < 0.05). Pathway analyses revealed convergence on endoplasmic reticulum chaperone complexes (FDR = 0.02) and Hippo signaling (FDR = 8.5e-4). Finally, all 177 candidate genes were functionally prioritized using ten orthogonal criteria to guide experimental follow-up. These results demonstrate that combining complementary, impact-aware association tests increases sensitivity, improves replication, and expands the catalog of genetic risk factors for T2DM.

Humans↗

PubMed1999

Evolutionary trace analysis of the Kunitz/BPTI family of proteins: functional divergence may have been based on conformational adjustment.

The structural and functional evolution of the Kunitz/bovine pancreatic trypsin inhibitor (BPTI) family of proteins, which includes serine proteinase inhibitors and potassium channel blockers, was analysed with the evolutionary trace method. This method highlights sites in aligned primary sequences whose side-chain variation can be strongly linked with the past development of different functional classes or subgroups within the family. A total of 16 such "class-specific" positions distributed throughout the molecular fold were identified. On average, the side-chain chemistry at these positions had been more conserved and made greater contribution to molecular stability than the side-chain chemistry at remaining sites of variation. It was possible to use these 16 positions to describe the division of the Kunitz/BPTI family into general functional classes. According to known complexes of inhibitor variants with serine proteinases, only two of the 16 class-specific positions appear to be directly involved in intermolecular recognition via the "antiproteinase site". Instead, from various critical locations in the fold, the remainder seem to have been associated with various degrees of intramolecular conformational adjustment to the underlying framework of the antiproteinase site. It is, therefore, implied that functional diversification in this family has been founded upon both sustained evolutionary selection and conformational adjustment. The findings are important for protein engineers wishing to alter the binding selectivity of these molecules, because it appears that the issue of target recognition is dependent on the conformation of the chain segment to which the interactive side-chains are attached. To retarget members of this family towards potentially novel peptide binding sites, substitutions at certain structurally significant class-specific positions could be a good starting point.

Amino Acid Sequence↗