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PubMed2005

Carotenoid biosynthetic pathway: molecular phylogenies and evolutionary behavior of crt genes in eubacteria.

Phylogenetic analysis of carotenoid biosynthetic pathway genes and their evolutionary rate variations were studied among eubacterial taxa. The gene sequences for the enzymes involved in this pathway were obtained for major phylogenetic groups of eubacteria (green sulfur bacteria, green nonsulphur bacteria, Gram-positive bacteria, proteobacteria, flavobacteria, cyanobacteria) and archeabacteria. These gene datasets were distributed under five major steps of carotenoid biosynthesis in eubacteria; isoprenoid precursor biosynthesis, phytoene synthesis, dehydrogenation of phytoene, lycopene cyclization, formation of acyclic xanthophylls, formation of cyclic xanthophylls and carotenoid biosynthesis regulation. The NJ algorithm was used on protein coding DNA sequences to deduce the evolutionary relationship for the respective crt genes among different eubacterial lineages. The rate of nonsynonymous nucleotide substitutions per nonsynonymous site (d(N)) and synonymous nucleotide substitutions per synonymous site (d(S)) were calculated for different clades of the respective phylogenetic tree for specific crt genes. The phylogenetic analysis suggests that evolutionary pattern of crt genes in eubacteria is characterized by lateral gene transfer and gene duplication events. The d(N) values indicate that carotenoid biosynthetic genes are more conserved in proteobacteria than in any other eubacterial phyla. Furthermore, of the genes involved in carotenoid biosynthesis pathway, structural genes evolve slowly than the regulatory genes in eubacteria.

Bacteria↗
PubMed2005

Prediction of cyclosporine blood levels in heart transplantation patients using a pharmacokinetic model identified by evolutionary algorithms.

BACKGROUND: Artificial intelligence (AI)-based computation methods have been recently shown to be applicable in several clinical diagnostic fields. The purpose of this study was to introduce a novel AI method called evolutionary algorithms (EAs) to clinical predictions. The technique was used to create a pharmacokinetic model for the prediction of whole blood levels of cyclosporine (CyA). METHODS: One hundred one adult cardiac transplant recipients were randomly selected and included in this study. All patients had been receiving oral cyclosporine twice daily, and the trough levels in whole blood were measured by monoclonal-specific radioimmunoassay. An evolutionary algorithm (EA)-based software tool was trained with pre- and post-operative variables from 64 patients. The results of this process were then tested on data sets from 37 patients. RESULTS: The mean value of the predicted CyA level throughout the measurement period for the test data was 175 +/- 27 ng/ml, which compared well with the mean observed CyA level of 180 +/- 31 ng/ml. The system bias expressed as the mean percent error (MPE) for the training and test data sets were 7.1 +/- 5.4% (0.1% to 26.7%) and 8.0 +/- 6.7% (0.8% to 28.8%), respectively. The prediction accuracy ranged from 80% to 90%. The correlation coefficient between predicted and observed CyA concentration for the training data were 0.93 (p < 0.001) and for the test data were 0.85 (p < 0.001), respectively. CONCLUSIONS: The results of this study suggest that the use of evolutionary algorithms to identify pharmacokinetic models yields accurate prediction of cyclosporine whole blood levels in heart transplant recipients. This and other similar technologies should be considered as future clinical tools to reduce costs in our health systems.

Adult↗
PubMed2005

The theoretical underpinnings of affective temperaments: implications for evolutionary foundations of bipolar disorder and human nature.

We sketch out putative evolutionary roles for affective temperaments within the theoretical framework of mood disorders conceptualized as extremes in an oligogenic model of inheritance, whereby the constituent traits in their dilute phenotypes confer adaptive advantages to individuals and/or their social group. Depressive traits, among other functions, would subserve sensitivity to the suffering of other members of the species, overlapping with those of the generalized anxious temperament, thereby enhancing the survival of not only kin but also other conspecifics. The pursuit of romantic opportunities in cyclothymia suggests that it may have evolved as a mechanism in reproductive success; cyclothymics' creative bent in poetry, music, painting, cooking or fashion design (among men, in particular) also appears useful for sexual seduction. Hyperthymic traits would lend distinct advantages in leadership, exploration, territoriality and mating. These are just some of the possibilities of the rich and complex temperamental traits subserving bipolarity within an evolutionary framework. We test selected aspects of these hypotheses with the use of correlations between the constituent traits of the Temperament Evaluation of Memphis, Pisa, Paris and San Diego (TEMPS) and correlations between the TEMPS and the Temperament and Character Inventory (TCI). Such data support the counterbalancing protective influence of harm avoidance on the risk-taking behavior of cyclothymic individuals, in both men and women. Finally, we outline a hypothesis on the evolutionary function of anxious-depressive traits for women.

Affective Symptoms↗
PubMed2005

Phylogenetics by likelihood: evolutionary modeling as a tool for understanding the genome.

Molecular evolutionary studies provide a means of investigating how cells function and how organisms adapt to their environment. The products of evolutionary studies provide medically important insights to the source of major diseases, such as HIV, and hold the key to understand the developing immunity of pathogenic bacteria to antibiotics. They have also helped mankind understand its place in nature, casting light on the selective forces and environmental conditions that resulted in modern humans. The use of likelihood as a framework for statistical modeling in phylogenetics has played a fundamental role in studying molecular evolution, enabling rigorous and robust conclusions to be drawn from sequence data. The first half of this article is a general introduction to the likelihood method for inferring phylogenies, the properties of the models used, and how it can be used for statistical testing. The latter half of the article focuses on the emerging new generation of phylogenetic models that describe heterogeneity in the evolutionary process along sequences, including the recoding of protein coding sequence data to amino acids and codons, and various approaches for describing dependencies between sites in a sequence. We conclude with a detailed case study examining how modern modeling approaches have been successfully employed to identify adaptive evolution in proteins.

Animals↗
PubMed2005

Evolutionary profiles derived from the QR factorization of multiple structural alignments gives an economy of information.

We present a new algorithm, based on the multidimensional QR factorization, to remove redundancy from a multiple structural alignment by choosing representative protein structures that best preserve the phylogenetic tree topology of the homologous group. The classical QR factorization with pivoting, developed as a fast numerical solution to eigenvalue and linear least-squares problems of the form Ax=b, was designed to re-order the columns of A by increasing linear dependence. Removing the most linear dependent columns from A leads to the formation of a minimal basis set which well spans the phase space of the problem at hand. By recasting the problem of redundancy in multiple structural alignments into this framework, in which the matrix A now describes the multiple alignment, we adapted the QR factorization to produce a minimal basis set of protein structures which best spans the evolutionary (phase) space. The non-redundant and representative profiles obtained from this procedure, termed evolutionary profiles, are shown in initial results to outperform well-tested profiles in homology detection searches over a large sequence database. A measure of structural similarity between homologous proteins, Q(H), is presented. By properly accounting for the effect and presence of gaps, a phylogenetic tree computed using this metric is shown to be congruent with the maximum-likelihood sequence-based phylogeny. The results indicate that evolutionary information is indeed recoverable from the comparative analysis of protein structure alone. Applications of the QR ordering and this structural similarity metric to analyze the evolution of structure among key, universally distributed proteins involved in translation, and to the selection of representatives from an ensemble of NMR structures are also discussed.

Algorithms↗
PubMed2004

Evolutionary computer programming of protein folding and structure predictions.

In order to understand the mechanism of protein folding and to assist the rational de-novo design of fast-folding, non-aggregating and stable artificial enzymes it is very helpful to be able to simulate protein folding reactions and to predict the structures of proteins and other biomacromolecules. Here, we use a method of computer programming called "evolutionary computer programming" in which a program evolves depending on the evolutionary pressure exerted on the program. In the case of the presented application of this method on a computer program for folding simulations, the evolutionary pressure exerted was towards faster finding deep minima in the energy landscape of protein folding. Already after 20 evolution steps, the evolved program was able to find deep minima in the energy landscape more than 10 times faster than the original program prior to the evolution process.

Amino Acid Sequence↗
PubMed2005

The evolutionary language game: an orthogonal approach.

Evolutionary game dynamics have been proposed as a mathematical framework for the cultural evolution of language and more specifically the evolution of vocabulary. This article discusses a model that is mutually exclusive in its underlying principals with some previously suggested models. The model describes how individuals in a population culturally acquire a vocabulary by actively participating in the acquisition process instead of passively observing and communicate through peer-to-peer interactions instead of vertical parent-offspring relations. Concretely, a notion of social/cultural learning called the naming game is first abstracted using learning theory. This abstraction defines the required cultural transmission mechanism for an evolutionary process. Second, the derived transmission system is expressed in terms of the well-known selection-mutation model defined in the context of evolutionary dynamics. In this way, the analogy between social learning and evolution at the level of meaning-word associations is made explicit. Although only horizontal and oblique transmission structures will be considered, extensions to vertical structures over different genetic generations can easily be incorporated. We provide a number of simplified experiments to clarify our reasoning.

Biological Evolution↗
PubMed2006

Unpredictability induced by unfocused games in evolutionary game dynamics.

Evolutionary game theory is a basis of replicator systems and has applications ranging from animal behavior and human language to ecosystems and other hierarchical network systems. Most studies in evolutionary game dynamics have focused on a single game, but, in many situations, we see that many games are played simultaneously. We construct a replicator equation with plural games by assuming that a reward of a player is a simple summation of the reward of each game. Even if the numbers of the strategies of the games are different, its dynamics can be described in one replicator equation. We here show that when players play several games at the same time, the fate of a single game cannot be determined without knowing the structures of the whole other games. The most absorbing fact is that even if a single game has a ESS (evolutionary stable strategy), the relative frequencies of strategies in the game does not always converge to the ESS point when other games are played simultaneously.

Animals↗
PubMed2006

Fisher's geometrical model of evolutionary adaptation--beyond spherical geometry.

Fisher's geometrical model of evolutionary adaptation has recently been used in a variety of contexts of interest to evolutionary biologists. The renewed interest in this model strongly motivates generalizations that make it a more realistic description of evolutionary adaptation. Previously, the distribution of mutant effects has, for analytical tractability, rather than biological realism, been taken as spherically symmetric. Here we substantially extend Fisher's model, by allowing a wider class of mutational distributions that incorporate mutational bias and more general deviations from spherical symmetry such as correlations between mutant effects. We also incorporate work on generalized fitness landscapes, thereby reducing the number of artificial assumptions underlying the model. The generalized model exhibits a substantially increased flexibility and a far richer underlying geometry. We find that the distribution characterizing selection coefficients of new mutations is expressed in terms of a number of geometrical invariants associated with mutation, selection and the parental phenotype.

Adaptation, Physiological↗
PubMed2004

A Bayesian statistical analysis of human T-cell lymphotropic virus evolutionary rates.

HTLV is a genetically-stable retrovirus that is considered to have evolved partly in concert with human migrations. Its rate of evolution is low and therefore, difficult to estimate reliably. In the first part of this study, we provide an improved estimate of HTLV evolutionary rate using anthropological calibration of phylogenetic nodes. We investigate two different anthropological calibrations using a Bayesian method that implements a relaxed molecular clock model and can combine data from multiple genes. The analysis shows that the two calibrations are compatible. In the second part, we develop a Bayesian statistical model to combine and compare the anthropology-based estimates of evolutionary rate with a rate recently calculated using pedigree data from vertically HTLV-infected families. We compare the statistical power of the two estimates and show that the current pedigree estimate, although resulting in considerably higher evolutionary rates, is too statistically weak to warrant a re-examination of the commonly used anthropology-based estimates. Statistical uncertainty burdens HTLV rate estimates based on both anthropological calibrations and on pedigree data; the former method rests on an untested assumption, whilst that latter is affected by small sample sizes.

Bayes Theorem↗
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↗
PubMed2004

Evolutionary legacy: form of ingestion, not quantity, is the key factor in producing the effects of sugar on human health.

Tens of dietary trials have been conducted to investigate the metabolic effects of sugar (sucrose) and its impact on human health. All of those studies took into account only the quantity of ingested sugar. By contrast, not a single study attempted to assess whether the form in which sugar is consumed plays a role in producing its metabolic effects. The failure of cohorts of researchers to specify how they administered sugar in their dietary trials may well explain why the results of those studies are extremely contradictory. These discrepant findings, understandably, resulted in conflicting opinions about sugar and in divergent guidelines about its recommended consumption. The evolutionary line of reasoning expounded in this article leads to conclude that the form in which sugar is ingested, not its quantity, constitutes the most important factor in producing the metabolic effects of sugar and its impact on human health. As a consequence, for example, the consumption of 100 g of sugar per day can be either detrimental or innocuous, depending on the form in which sugar is ingested. Specifically, the evolutionary hypothesis advanced in this paper implies that sugar can predispose to type 2 diabetes and can cause unhealthy changes in blood lipids if it is consumed in solid forms or in dense solutions containing more than 250 g/L, whereas sugar is harmless if it is consumed in more dilute concentrations. This evolutionary hypothesis, in view of its intuitively far-reaching clinical implications, should be tested by at least one dietary trial.

Administration, Oral↗
PubMed2005

Origin and evolution of viruses: escaped DNA/RNA sequences as evolutionary accelerators and natural biological weapons.

Knowledge of the origin and evolution of viruses could provide a better understanding of a number of phenomena in the field of evolution such as the origin and development of multi-cellular organisms, the rapid diversification of species over the last 600-700 million years and the lack of transitional forms in the evolution of species ("missing links") etc. One of the possible effects of escaped DNA/RNA sequences or viruses on the evolution of multi-cellular organisms, especially vertebrates, could be the phenomenon of horizontal transmission and dissemination of genes. Interestingly, if so, this effect could be considered as a model of primeval and natural genetic engineering. Other possible links between the evolution of multi-cellular organisms and viruses are connected with the fact that viruses represent the source of different forms of selective pressure such as epidemics of infectious diseases, autoimmunity, malignant alteration, reproductive efficiency, etc. At the same time, these two models of "long-term evolutionary relations" could represent "key factors" in the evolution between viruses and multi-cellular organisms. The capability of a genome to produce and emit DNA/RNA sequences or de novo created viruses which can be a vector of genes horizontal transmission and/or cause selective pressure on concurrent or predator species gives a new characteristic to viruses--the possibility of their acting as natural biological weapons. Finally, possibly evolutionary advantages of this genome capability could be one of explanations for the phenomena such as genome instability and its ability to emit DNA/RNA sequences and/or de novo created viruses, as well as evolutionary conservation of this unique phenomena.

Animals↗
PubMed2006

The evolutionary role of erectile dysfunction.

Biologic processes that affect the ability of an organism to reproduce are subject to heavy evolutionary pressure. Erectile dysfunction (ED), a common condition in elderly males, definitely affects the ability of the organism to reproduce, and therefore, it is expected to play a significant evolutionary role. Whereas oogenesis is limited to young females, spermatogenesis is a lifelong process. As a male gets older, the number of (pre-meiotic) mitotic cell divisions during spermatogenesis increases, as does the risk of de novo gene mutations. In this paper, I examine the hypothesis that ED, in addition to decrease in fertility, are two evolutionary safety mechanisms that reduce the probability of an ovum being fertilized with genetically altered sperm from an aged or sick male. This hypothesis is supported by the parallel rise in the occurrence of ED, infertility, and risk of congenital anomalies with age; by the occurrence of these three processes in the same medical conditions; and by the presence of a theory unifying the etiologies of three processes-the "free radical theory of aging". This hypothesis can predict the occurrence of congenital anomalies under conditions associated with ED and infertility but are presently not known to be associated with congenital anomalies.

Aged↗
PubMed2006

The evolutionary biology of cryptic pregnancy: A re-appraisal of the "denied pregnancy" phenomenon.

Previous research on 'denied pregnancy', i.e. lack of subjective awareness of pregnancy until the end of gestation in pregnant women, is reviewed and reinterpreted in an evolutionary biological framework. Recent epidemiological studies show that this condition has a much higher incidence than previously thought (about 1:475). Very often, bodily symptoms of pregnancy (nausea, amenorrhea and abdomen swelling) are absent or greatly reduced, and neonates tend to be underweight; in many cases, pregnancy goes undetected also by relatives and physicians. Current explanations in the clinical literature are based on psychodynamic hypotheses about pregnancy-related unconscious conflicts; the lack of symptoms is accounted for by 'somatic denial'. I argue that such psychodynamic accounts are misguided for two reasons: (1) they rest on a failure to recognize the active biological role of the fetus in determining the course of pregnancy, and (2) they ignore the many levels of mother-fetus conflict over resource allocation described by biological theories of parent-offspring conflict. Here I propose to redefine this condition as 'cryptic pregnancy', and begin to explore its possible physiological correlates and evolutionary significance. In the light of parent-offspring conflict theory, cryptic pregnancy appears to reduce the costs of pregnancy, both energetic and ecological (mobility, dependence on kin/mate, etc.), thus favoring the mother at the expense of the fetus. Reduced hCG production and/or effectiveness is likely to be involved in the process. I propose and discuss three nonexclusive evolutionary hypotheses to account for this phenomenon: (1) cryptic pregnancy could be a nonadaptive outcome of conflict resolution processes over resource allocation in pregnancy, possibly related to minor disruptions of genomic imprinting mechanisms. (2) Cryptic pregnancy could result from missed spontaneous abortions of low-quality fetuses. (3) Finally, cryptic pregnancy could be an adaptive pattern of 'forced cooperation' between mother and fetus in stressful or threatening ecological circumstances, as suggested by the reported association with elevated psychosocial stress. In case of reduced survival probability, both mother and fetus would benefit if the mother reduced investment in pregnancy in order to maximize her chances of surviving and reaching delivery.

Abortion, Missed↗
PubMed2006

Emotional endophenotypes in evolutionary psychiatry.

Evolutionary psychiatry emerged from the conceptual successes of sociobiology and evolutionary psychology. It will need to avoid the many mistakes that biology-free Evolutionary Psychology has been prey to. It should not ignore the wealth of information that exists between the phenotypic expression of symptoms and the genotypic sources of core brain/mind processes that are disrupted in psychiatric disorders. Syndromal-conceptual thinking has become a barrier to illuminating the biological sources of psychiatric disorders. Endophenoytpic-biomarker approaches now offer robust alternatives for generating linkages between psychiatrically relevant psychological changes and the neurobiological infrastructure of disordered mentation. Here I summarize recent advances in endophenotypic thinking in biological psychiatry, and suggest that various core emotional-affective processes may be among the most important endophenotypes that need to be clarified at both neurobiological and genetic levels of analysis. To this end, I discuss strategies to link basic emotional processes that are commonly imbalanced in psychiatric disorders to neuroanatomical, neurochemical, neurophysiology, and molecular genetic levels of analysis. Conjoint animal behavioral-genetic and gene expression, microarray analyses can clarify a variety of key emotional endophenotypes and thereby provide a coherent infrastructure for psychiatric systematics. To further clarify the neurobiological dimensions of psychiatric disorders, we must also focus on psychosocial and environmental stress vectors that converge to create imbalanced emotional and motivational brain activities of psychiatric significance.

Animals↗
PubMed2005

Paradigm change in evolutionary microbiology.

Thomas Kuhn had little to say about scientific change in biological science, and biologists are ambivalent about how applicable his framework is for their disciplines. We apply Kuhn's account of paradigm change to evolutionary microbiology, where key Darwinian tenets are being challenged by two decades of findings from molecular phylogenetics. The chief culprit is lateral gene transfer, which undermines the role of vertical descent and the representation of evolutionary history as a tree of life. To assess Kuhn's relevance to this controversy, we add a social analysis of the scientists involved to the historical and philosophical debates. We conclude that while Kuhn's account may capture aspects of the pattern (or outcome) of an episode of scientific change, he has little to say about how the process of generating new understandings is occurring in evolutionary microbiology. Once Kuhn's application is limited to that of an initial investigative probe into how scientific problem-solving occurs, his disciplinary scope becomes broader.

Biological Evolution↗
PubMed2006

Hox genes, homology and axis formation--the application of morphological concepts to evolutionary developmental biology.

This article focuses on the interphyletic comparison of gene expression patterns. By means of the hypothesis of the inversion of the dorsoventral axis during the evolution of the Bilateria, it is demonstrated, that evolutionary developmental biologists use similarities in spatial and temporal gene expression patterns as evidence for the formulation of hypotheses of homology concerning either developing structures or body regions. The molecular genetic and morphogenetic evidence used is discussed within the framework of a cladistic-phylogenetic analysis based on the phylogenetic tree of the Bilateria. I argue that similarity of spatial and temporal gene expression patterns is not a sufficient criterion for homology inference. Therefore, gene expression patterns should be coded as characters. Their homology should be tested in concert with other characters. Furthermore, it is demonstrated, that spatial and temporal similar gene expression patterns, indicating similar molecular genetic mechanisms, were interpreted as an analytical criterion of homology, offering the possibility to identify similar structures. In contrast to this, the evolutionary developmental biologists have not developed a causal-analytically extended concept of shape, from which a causal-analytical concept of homology could be deduced. Instead, the homology concept from evolutionary morphology is used.

Animals↗