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PubMed2007

The emergence of HIV transmitted resistance in Botswana: "when will the WHO detection threshold be exceeded?".

BACKGROUND: The Botswana antiretroviral program began in 2002 and currently treats 42,000 patients, with a goal of treating 85,000 by 2009. The World Health Organization (WHO) has begun to implement a surveillance system for detecting transmitted resistance that exceeds a threshold of 5%. However, the WHO has not determined when this threshold will be reached. Here we model the Botswana government's treatment plan and predict, to 2009, the likely stochastic evolution of transmitted resistance. METHODS: We developed a model of the stochastic evolution of drug-resistant strains and formulated a birth-death Master equation. We analyzed this equation to obtain an analytical solution of the probabilistic evolutionary trajectory for transmitted resistance, and used treatment and demographic data from Botswana. We determined the temporal dynamics of transmitted resistance as a function of: (i) the transmissibility (i.e., fitness) of the drug-resistant strains that may evolve and (ii) the rate of acquired resistance. RESULTS: Transmitted resistance in Botswana will be unlikely to exceed the WHO's threshold by 2009 even if the rate of acquired resistance is high and the strains that evolve are half as fit as the wild-type strains. However, we also found that transmission of drug-resistant strains in Botswana could increase to approximately 15% by 2009 if the drug-resistant strains that evolve are as fit as the wild-type strains. CONCLUSIONS: Transmitted resistance will only be detected by the WHO (by 2009) if the strains that evolve are extremely fit and acquired resistance is high. Initially after a treatment program is begun a threshold lower than 5% should be used; and we advise that predictions should be made before setting a threshold. Our results indicate that it may be several years before the WHO's surveillance system is likely to detect transmitted resistance in other resource-poor countries that have significantly less ambitious treatment programs than Botswana.

Anti-HIV Agents↗
PubMed1988

DNA, mutations and aging.

Genetic instability is widely thought to be involved in the process of aging. Evolutionary theory suggests that aging may well result from stochastic damage to DNA. However, studies of the dynamics of accumulation of simple somatic mutations have shown that such a mechanism cannot readily account for experimental observations. A more complex mutational theory of aging is emerging which allows for interaction between mutations, for damage to epigenetic controls on gene expression, and for interaction of (epi)genetic changes with other possible molecular events contributing to aging.

Aging↗
PubMed1987

CAMs and Igs: cell adhesion and the evolutionary origins of immunity.

The lymphoid system and cells of immunity are as morphologically well defined as those of any complex organ but in addition they show dynamic long-range interactions between the fluid tissues (lymphocytes, monocytes, etc.) and the solid, vascular and generative tissues and organs which they comprise. Given the observation that CAMs are present in epithelial components of lymphoid organs, it appears that, in their ontogeny, the organs of immunity will share a common principle of morphoregulation by CAMs with brains, feathers and other parts of the phenotype. As discussed here, this principle is a regulatory one operating across many levels of organization from the genes to tissues and back again (see Fig. 1). At some early point in the evolution of the immune system, a gene corresponding to an N-CAM precursor must have duplicated to provide a basis for the Ig superfamily with its increasing specializations for recognition and for cellular regulation during the immune response. Lymphocyte cellular families also developed later specializations (along with other leukocytes) for adhesive functions accessory to specific recognition. As far as we can see, the molecules for these accessory functions only remotely resemble CAMs, but closely resemble receptors for matrix molecules and SAMs. What CAMs and Ig superfamily members have in common is an evolutionary path and important roles in mediating complex regulatory responses that arise from cell-cell interactions. In the one case, this regulation leads to morphology, and in the other, to immune recognition. The first depends directly upon pattern (the formation of definite tissue structure); the regulation of the second also depends upon pattern to the extent that its function is dependent upon the morphology of lymphoid organs and vasculature. But although specific immune recognition depends locally upon adhesion through special mechanisms, it does not lead to morphology. One must not therefore impute too much in the physiological sense to the resemblance among brain molecules and molecules of the immune system. CAMs themselves are not directly histotypic at the level of individual differentiated cells but rather are used to link early tissue boundaries in induction and function in a wide variety of different tissues. As a consequence, N-CAM is central to the formation and maintenance of neural tissue but has a much wider tissue distribution and a fundamental role in very early embryogenesis as is the case with other primary CAMs. Thus, the immune system did not evolve from the nervous system, but from a cell adhesion system essential to both.(ABSTRACT TRUNCATED AT 400 WORDS)

Animals↗
PubMed2000

An evolutionary bridge to a new protein fold.

Arc repressor bearing the N11L substitution (Arc-N11L) is an evolutionary intermediate between the wild type protein, in which the region surrounding position 11 forms a beta-sheet, and a double mutant 'switch Arc', in which this region is helical. Here, Arc-N11L is shown to be able to adopt either the wild type or mutant conformations. Exchange between these structures occurs on the millisecond time scale in a dynamic equilibrium in which the relative populations of each fold depend on temperature, solvent conditions and ligand binding. The N11L mutation serves as an evolutionary bridge from the beta-sheet to the helical fold because in the mutant, Leu is an integral part of the hydrophobic core of the new structure but can also occupy a surface position in the wild type structure. Conversely, the polar Asn 11 side chain serves as a negative design element in wild type Arc because it cannot be incorporated into the core of the mutant fold.

Amino Acid Sequence↗
PubMed2026

Pervasive positive selection on X-linked ampliconic genes in primates.

Mammalian sex chromosomes harbour ampliconic gene families, which are multi-copy genes with ≥97% sequence identity, predominantly expressed in testis tissue and essential for male fertility. The amplification of testis-specific genes is conserved across mammals, yet the specific gene families that expand show striking lineage-specific variation. Previous studies suggest a dynamic turnover with adaptive evolution for several of these families, but their analysis has been limited by the quality of reference genomes of repetitive regions. To characterise the molecular evolutionary processes of ampliconic gene families on both sex chromosomes, we analysed telomere-to-telomere genome assemblies from eight primate species spanning 25 million years of evolution. We identified 53 X-linked and 19 Y-linked ampliconic gene families with dynamic copy number variation. Gene conversion through palindromic pairing and tandem arrays maintained high sequence similarity despite accumulating mutations. X-linked families maintained conserved chromosomal positions despite copy number changes, whereas Y-linked families showed frequent positional turnover. Strikingly, multiple X-linked families (GAGE, SSX, CSAG, and VCX) showed pervasive positive selection across the primate phylogeny and multiple (MAGEB, CT45, HSFX) showed lineage specific positive selection. Y-linked families predominantly evolve under purifying selection. Examining intraspecific copy number variation of the X-linked ampliconic families in chimpanzees, humans, and gorillas, we found variation among individuals but clear differences between species, with the largest families varying the most. These patterns could suggest that sperm competition, meiotic drive, or dosage-dependent selection drive the rapid, lineage-specific evolution of testis-expressed ampliconic genes in primates.

Journal Article↗
PubMed2006

Identification of biochemical networks by S-tree based genetic programming.

MOTIVATION: Most previous approaches to model biochemical networks have focused either on the characterization of a network structure with a number of components or on the estimation of kinetic parameters of a network with a relatively small number of components. For system-level understanding, however, we should examine both the interactions among the components and the dynamic behaviors of the components. A key obstacle to this simultaneous identification of the structure and parameters is the lack of data compared with the relatively large number of parameters to be estimated. Hence, there are many plausible networks for the given data, but most of them are not likely to exist in the real system. RESULTS: We propose a new representation named S-trees for both the structural and dynamical modeling of a biochemical network within a unified scheme. We further present S-tree based genetic programming to identify the structure of a biochemical network and to estimate the corresponding parameter values at the same time. While other evolutionary algorithms require additional techniques for sparse structure identification, our approach can automatically assemble the sparse primitives of a biochemical network in an efficient way. We evaluate our algorithm on the dynamic profiles of an artificial genetic network. In 20 trials for four settings, we obtain the true structure and their relative squared errors are <5% regardless of releasing constraints about structural sparseness. In addition, we confirm that the proposed algorithm is robust within +/-10% noise ratio. Furthermore, the proposed approach ensures a reasonable estimate of a real yeast fermentation pathway. The comparatively less important connections with non-zero parameters can be detected even though their orders are below 10(-2). To demonstrate the usefulness of the proposed algorithm for real experimental biological data, we provide an additional example on the transcriptional network of SOS response to DNA damage in Escherichia coli. We confirm that the proposed algorithm can successfully identify the true structure except only one relation.

Algorithms↗
PubMed2003

On dynamics of overlapping genes in bacterial genomes.

A genome-wide computational analysis of overlapping genes in various prokaryotic genomes was conducted to study the evolutionary rates of the formation and degradation of overlapping genes. Overlapping genes are adjacent genes that overlap partially or entirely. Overlapping gene pairs extracted from complete bacterial genome sequences were classified into three directional patterns, namely, 'convergent' (--><--), 'unidirectional' (-->-->), and 'divergent' (<---->). Divergent overlapping genes were rare compared to the other two patterns. We also compared the structures of overlapping genes that are not conserved in the homologous genes of different species. We found that overlapping genes are mainly generated from gene pairs with short intergenic regions. Overlapping genes caused by mutations at the 3'-end of genes occur more frequently than overlapping genes generated by mutations at the 5'-end of genes in closely related species. In contrast, gene overlaps due to mutations at the 5'-ends accumulate in distant species. These differences presumably correlate to the genomic divergence among species. The evolution of these overlapping gene structures is probably related to the evolutionary time scale, which suggests that the evolution of overlapping genes occurs at a universal mutation rate across species.

Bacteria↗
PubMed2005

Population differentiation decreases with depth in deep-sea bivalves.

The deep sea is the largest ecosystem on Earth. Recent exploration has revealed that it supports a highly diverse and endemic benthic invertebrate fauna, yet the evolutionary processes that generate this remarkable species richness are virtually unknown. Environmental heterogeneity, topographic complexity, and morphological divergence all tend to decrease with depth, suggesting that the potential for population differentiation may decrease with depth. To test this hypothesis, we use mitochondrial DNA (16S rRNA gene) to examine patterns of population differentiation in four species of protobranch bivalves (Nuculoma similis, Deminucula atacellana, Malletia abyssorum, and Ledella ultima) distributed along a depth gradient in the western North Atlantic. We sequenced 268 individuals from formalin-fixed samples and found 45 haplotypes. The level of sequence divergence among haplotypes within species was similar, but shifted from between populations at bathyal depths to within populations at abyssal depths. Levels of population structure as measured by phiST were considerably greater in the upper bathyal species (N. similis = 0.755 and D. atacellana = 0.931; 530-3834 m) than in the lower bathyal/abyssal species (M. abyssorum = 0.071 and L. ultima = 0.045; 2864-4970 m). Pairwise genetic distances among the samples within each species also decreased with depth. Population trees (UPGMA) based on modified coancestry coefficients and nested clade analysis both indicated strong population-level divergence in the two upper bathyal species but little for the deeper species. The population genetic structure in these protobranch bivalves parallels depth-related morphological divergence observed in deep-sea gastropods. The higher level of genetic and morphological divergence, coupled with the strong biotic and abiotic heterogeneity at bathyal depths, suggests this region may be an active area of species formation. We suggest that the steep, topographically complex, and dynamic bathyal zone, which stretches as a narrow band along continental margins, plays a more important role in the evolutionary radiation of the deep-sea fauna than the much more extensive abyss.

Analysis of Variance↗
PubMed2002

Replicator dynamics for optional public good games.

The public goods game represents a straightforward generalization of the prisoner's dilemma to an arbitrary number of players. Since the dominant strategy is to defect, both classical and evolutionary game theory predict the asocial outcome that no player contributes to the public goods. In contrast to the compulsory public goods game, optional participation provides a natural way to avoid deadlocks in the state of mutual defection. The three resulting strategies--collaboration or defection in the public goods game, as well as not joining at all--are studied by means of a replicator dynamics, which can be completely analysed in spite of the fact that the payoff terms are nonlinear. If cooperation is valuable enough, the dynamics exhibits a rock-scissors-paper type of cycling between the three strategies, leading to sizeable average levels of cooperation in the population. Thus, voluntary participation makes cooperation feasible. But for each strategy, the average payoff value remains equal to the earnings of those not participating in the public goods game.

Altruism↗
PubMed1999

The genetics and evolution of the mariner transposable element in Drosophila simulans: worldwide distribution and experimental population dynamics.

We have studied both the frequency and biogeographical distribution of the transposable DNA element mariner in natural populations of Drosophila simulans and the short-term evolutionary characteristics of mariner in experimental populations. The mariner element has been identified in natural populations of D. simulans from Africa, Europe, the Middle East, Japan, Australia, several Pacific islands, North America, and South America. Only four lines out of 296 were devoid of active mariner elements, as measured by the presence of functional mariner transposase. A slight correlation was found between the latitudinal coordinate of the collection sites and the level of mariner activity in the populations; this correlation became highly significant in Australia where a cline in mariner activity was observed along the eastern coast of the continent. We also observed that wild-type laboratory strains kept for several years as small populations might lose mariner activity over time. Using experimental populations, we modeled what might happen when naturally occurring populations exhibiting high and low levels of mariner activity encounter one another. We found that active mariner elements either will tend to lose their activity over time and gradually become inactive or possibly will be lost from the population; in either case, this will lead to the pattern seen in this experiment of a significant loss of mariner activity over time.

Animals↗
PubMed2003

Evolution of plant resistance at the molecular level: ecological context of species interactions.

Molecular data regarding the diversity of plant loci involved in resistance to herbivores or pathogens are becoming increasingly available. These genes demonstrate variable patterns of diversity, suggesting that they differ in their evolutionary history. In parallel, the study of natural variation for resistance, generally conducted at the phenotypic level, has shown that resistance does not evolve solely under selection pressures exerted by enemies. Metapopulation dynamics and other ecological characteristics of interacting species also appear to have a large impact on resistance evolution. Until now, studies of resistance at the molecular level have been conducted separately from ecological studies in extant populations. Future progress requires an evolutionary approach integrating both molecular and ecological aspects of resistance evolution. Such an approach will contribute greatly to our understanding of the evolution of molecular diversity at loci involved in biotic stress.

Biological Evolution↗
PubMed2005

The innovation triad: an EvoDevo agenda.

This article introduces a special issue on evolutionary innovation and morphological novelty, two interrelated themes that have received a remarkable increase of attention over the past few years. We begin with a discussion of the question of whether innovation and novelty represent distinct evolutionary problems that require a distinct conceptualization. We argue that the mechanisms of innovation and their phenotypic results--novelty--can only be properly addressed if they are distinguished from the standard evolutionary themes of variation and adaptation, and we present arguments for making such a distinction. We propose that origination, the first formation of biological structures, is another distinct problem of morphological evolution, and that together with innovation and novelty it constitutes a conceptual complex we call the innovation triad. We define a problem agenda of the triad, which separates the analysis of the initiating conditions from the mechanistic realization of innovation, and we discuss the theoretical problems that arise from treating innovation as distinct from variation. Further, we categorize the empirical approaches that address themes of the innovation triad in recognizing four major strands of research: the morphology and systematics program, the gene regulation program, the epigenetic program, and the theoretical biology program. We provide examples of each program, giving priority to contributions in the present issue. In conclusion, we observe that the innovation triad is one of the defining topics of EvoDevo research and may represent its most pertinent contribution to evolutionary theory. We point out that an inclusion of developmental systems properties into evolutionary theory represents a shift of explanatory emphasis from the external factors of natural selection to the internal dynamics of developmental systems, complementing adaptation with emergence, and contingency with inherency.

Adaptation, Physiological↗
PubMed2003

Genomewide structural annotation and evolutionary analysis of the type I MADS-box genes in plants.

The type I MADS-box genes constitute a largely unexplored subfamily of the extensively studied MADS-box gene family, well known for its role in flower development. Genes of the type I MADS-box subfamily possess the characteristic MADS box but are distinguished from type II MADS-box genes by the absence of the keratin-like box. In this in silico study, we have structurally annotated all 47 members of the type I MADS-box gene family in Arabidopsis thaliana and exerted a thorough analysis of the C-terminal regions of the translated proteins. On the basis of conserved motifs in the C-terminal region, we could classify the gene family into three main groups, two of which could be further subdivided. Phylogenetic trees were inferred to study the evolutionary relationships within this large MADS-box gene subfamily. These suggest for plant type I genes a dynamic of evolution that is significantly different from the mode of both animal type I (SRF) and plant type II (MIKC-type) gene phylogeny. The presence of conserved motifs in the majority of these genes, the identification of Oryza sativa MADS-box type I homologues, and the detection of expressed sequence tags for Arabidopsis thaliana and other plant type I genes suggest that these genes are indeed of functional importance to plants. It is therefore even more intriguing that, from an experimental point of view, almost nothing is known about the function of these MADS-box type I genes.

Amino Acid Motifs↗
PubMed2005

Reverse-engineering gene-regulatory networks using evolutionary algorithms and grid computing.

OBJECTIVE: Living organisms regulate the expression of genes using complex interactions of transcription factors, messenger RNA and active protein products. Due to their complexity, gene-regulatory networks are not fully understood.However, by building computational models it is possible to gain insight into their function and operation. METHODS: Evolutionary algorithms are used to create computational models of gene-regulatory networks based on observed microarray data. These algorithms can be computationally intensive. They will be implemented within an existing grid computing infrastructure, that has been developed for data mining purposes, and which is able to deliver the required compute power. RESULTS: We discuss how models can built achieved using distributed and grid computing technology. In particular we investigate how Condor and JavaSpaces technology is suited to the requirements of our modeling approach. CONCLUSIONS: Determining network models of gene-regulatory networks using evolutionary algorithms not only requires considerable computational power, but also a modeling formalism that can explain the underlying dynamics.

Algorithms↗
PubMedDate not supplied

The gene encoding the T-cell receptor alpha-chain maps close to the Np-2 locus on mouse chromosome 14.

Serological and molecular genetic analyses of T-cell clones have shown that the T-cell antigen receptor apparently comprises two glycosylated, disulphide-linked polypeptide chains (alpha and beta), both of which span the cell membrane. Cloning of the genes encoding the two chains from mouse and human DNA has shown that the alpha- and beta-chains are composed of variable (V) and conserved (C) regions in agreement with peptide mapping data. Gene segments encoding variable and conserved domains of the beta-chain have been identified and undergo rearrangements during T-cell differentiation. The genes encoding the alpha-chain, so far described at the level of complementary DNA clones, also identify DNA rearrangements. Thus, the genes encoding the T-cell receptor show the same structure and dynamic behaviour as immunoglobulin genes, indicating that the two gene families belong to the same supergene family; this evolutionary relationship is supported by the fact that the genes encoding the beta-chain of the T-cell receptor are closely linked to immunoglobulin kappa light-chain genes on chromosome 6 in mouse. In man, however, the beta genes map to chromosome 7 (ref. 14) whereas the kappa-chain genes are located on chromosome 2, indicating that linkage between the two gene families is not needed for proper expression. Here we describe genomic clones encoding the constant portion of the T-cell receptor alpha-chain and map the gene to chromosome 14 in mouse, close to the gene for purine nucleoside phosphorylase (Np-2) which, in man, has been associated with T-cell immunodeficiencies.

Animals↗
PubMed2004

Convergent evolution in mechanical design of lamnid sharks and tunas.

The evolution of 'thunniform' body shapes in several different groups of vertebrates, including whales, ichthyosaurs and several species of large pelagic fishes supports the view that physical and hydromechanical demands provided important selection pressures to optimize body design for locomotion during vertebrate evolution. Recognition of morphological similarities between lamnid sharks (the most well known being the great white and the mako) and tunas has led to a general expectation that they also have converged in their functional design; however, no quantitative data exist on the mechanical performance of the locomotor system in lamnid sharks. Here we examine the swimming kinematics, in vivo muscle dynamics and functional morphology of the force-transmission system in a lamnid shark, and show that the evolutionary convergence in body shape and mechanical design between the distantly related lamnids and tunas is much more than skin deep; it extends to the depths of the myotendinous architecture and the mechanical basis for propulsive movements. We demonstrate that not only have lamnids and tunas converged to a much greater extent than previously known, but they have also developed morphological and functional adaptations in their locomotor systems that are unlike virtually all other fishes.

Animals↗
PubMed2004

Functional evolution of the yeast protein interaction network.

Protein interactions are central to most biological processes. We investigated the dynamics of emergence of the protein interaction network of Saccharomyces cerevisiae by mapping origins of proteins on an evolutionary tree. We demonstrate that evolutionary periods are characterized by distinct connectivity levels of the emerging proteins. We found that the most-connected group of proteins dates to the eukaryotic radiation, and the more ancient group of pre-eukaryotic proteins is less connected. We show that functional classes have different average connectivity levels and that the time of emergence of these functional classes parallels the observed connectivity variation in evolution. We take these findings as evidence that the evolution of function might be the reason for the differences in connectivity throughout evolutionary time. We propose that the understanding of the mechanisms that generate the scale-free protein interaction network, and possibly other biological networks, requires consideration of protein function.

Computational Biology↗
PubMed2003

Quantifying male attractiveness.

Genetic models of sexual selection are concerned with a dynamic process in which female preference and male trait values coevolve. We present a rigorous method for characterizing evolutionary endpoints of this process in phenotypic terms. In our phenotypic characterization the mate-choice strategy of female population members determines how attractive females should find each male, and a population is evolutionarily stable if population members are actually behaving in this way. This provides a justification of phenotypic explanations of sexual selection and the insights into sexual selection that they provide. Furthermore, the phenotypic approach also has enormous advantages over a genetic approach when computing evolutionarily stable mate-choice strategies, especially when strategies are allowed to be complex time-dependent preference rules. For simplicity and clarity our analysis deals with haploid mate-choice genetics and a male trait that is inherited phenotypically, for example by vertical cultural transmission. The method is, however, easily extendible to other cases. An example illustrates that the sexy son phenomenon can occur when there is phenotypic inheritance of the male trait.

Animals↗