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Convergence of experimental, computational and evolutionary approaches predicts the presence of a tetrameric form for CD3-zeta.

Experimental results using multiple site-specific infrared dichroism have shown that, when reconstituted into lipid bilayers, the orientation of the transmembrane domain of CD3-zeta is not compatible with a dimeric right-handed model reported previously. This model, obtained using a computational approach that uses evolutionary data, is in agreement with mutagenesis data and homology modelling. This suggested that, in our experimental conditions, the oligomeric state of CD3-zeta may not be dimeric. We have explored this possibility by performing global searching molecular dynamics simulations assuming different homo-oligomeric sizes (from 2 to 6). In these simulations, the helix tilt was restrained to the average helix tilt obtained experimentally, 12 degrees. Only a left-handed tetrameric model was compatible with the experimentally observed tilt and rotational orientation of the helix, and was also the lowest-energy model amongst the candidate structures obtained. Furthermore, simulations performed using close homologues demonstrate that this model is compatible with evolutionary conservation data. Finally, the pattern of residue conservation in the zeta family of proteins strongly argues in favour of the presence of a left-handed hetero-oligomer with an orientation compatible with the tetramer we present. These results show that both the known dimeric and the so far undetected tetrameric form may be of functional importance in the cell.

Amino Acid Sequence↗

Structural clusters of evolutionary trace residues are statistically significant and common in proteins.

Given the massive increase in the number of new sequences and structures, a critical problem is how to integrate these raw data into meaningful biological information. One approach, the Evolutionary Trace, or ET, uses phylogenetic information to rank the residues in a protein sequence by evolutionary importance and then maps those ranked at the top onto a representative structure. If these residues form structural clusters, they can identify functional surfaces such as those involved in molecular recognition. Now that a number of examples have shown that ET can identify binding sites and focus mutational studies on their relevant functional determinants, we ask whether the method can be improved so as to be applicable on a large scale. To address this question, we introduce a new treatment of gaps resulting from insertions and deletions, which streamlines the selection of sequences used as input. We also introduce objective statistics to assess the significance of the total number of clusters and of the size of the largest one. As a result of the novel treatment of gaps, ET performance improves measurably. We find evolutionarily privileged clusters that are significant at the 5% level in 45 out of 46 (98%) proteins drawn from a variety of structural classes and biological functions. In 37 of the 38 proteins for which a protein-ligand complex is available, the dominant cluster contacts the ligand. We conclude that spatial clustering of evolutionarily important residues is a general phenomenon, consistent with the cooperative nature of residues that determine structure and function. In practice, these results suggest that ET can be applied on a large scale to identify functional sites in a significant fraction of the structures in the protein databank (PDB). This approach to combining raw sequences and structure to obtain detailed insights into the molecular basis of function should prove valuable in the context of the Structural Genomics Initiative.

Binding Sites↗

Collective phenomena in spatially extended evolutionary games.

A class of spatially extended evolutionary games with simple local rules is introduced. The emergent properties are studied through two complementary approaches. One is based on a heuristic local analysis, the other on exact global techniques. The local analysis provides criteria to group the games into classes with distinct behavior. The results facilitate numerical simulations and reveal that even simple games allow for complex spatio-temporal phenomena. The global analysis demonstrates that certain games perform an uphill march in a fitness landscape determined by the payoff parameters and the topology of the underlying lattice structure. For generic game parameters, the landscape is rugged owing to competing interactions and generates dynamical phenomena well known from frustrated systems: trapping in local maxima for noiseless dynamics and very long relaxation times for stochastic dynamics. Although the model is a mere caricature of evolutionary processes, some of its emergent properties are reminiscent of those observed in nature. It is argued that similar dynamical phenomena will be present in more elaborate approaches.

Animals↗

Evolutionary optimization of enzyme kinetic parameters; effect of constraints.

The distribution of the kinetic parameters of enzymic reactions is theoretically studied, on the assumption that, during evolution, the increase of reaction rates was an important target of natural selection. In extension of previous work on the optimization of enzyme kinetic parameters, the influence of constraints concerning upper limits of the individual rate constants is analyzed. The concept of "evolutionary effort" is applied to derive an expression for the cost function, leading to an overall upper limit for the values of the rate constants. The resulting optimization problem is solved for ordered mechanisms involving different numbers of elementary steps. It is shown that the optimum for the enzyme kinetic parameters strongly depends on the concentrations of the reactants. Low reactant concentrations lead generally to a tight binding of the reactants, while high concentrations result in a weak binding, favouring the rate constants of the other steps. In particular, states of maximum activity are not always characterized by maximal values of second-order rate constants. The results support the hypothesis that there is a mutual adaptation of Michaelis constants and reactant concentrations in an evolutionary timescale. In the limit of infinite values of the exponent of the cost function the results of the present "overall limit model" turn into the results of a model which takes into account individual upper limits for rate constants ("separate limit model"). The distributions of optimal rate constants are discussed in terms of free-energy profiles. The model is applied to the interpretation of the kinetic data of triosephosphate isomerase and inorganic pyrophosphatase.

Animals↗

Phylogenetic invariants for more general evolutionary models.

An invariant Q of a tree T under a k-state Markov model, where a generalized time parameter is identified with the E edges of T, allows us to recognize whether data on N observed species (usually, N DNA sequences, one from each species) can be associated with the N leaves of T in the sense of having been generated on T rather than on any other N-leaf tree. The form of the generalized time parameter is a positive determinant matrix in some semigroup S of Markov matrices. The invariance is with respect to the choice of the set of E matrices in S, one associated with each of the E edges of T. The parametric form of S represents a model of the evolutionary process. In this paper, we apply a general method of finding invariants of a parametrized functional form to find low-degree polynomial invariants for different models. Quadratic invariants are obtained for the Kimura two-parameter model, for a model allowing evolutionary dependence between positions in the sequences and for an asymmetric model that allows for A + T versus G + C asymmetries in DNA base composition. Those invariants are found for trees (unrooted in case of the Kimura model and rooted for the others) with N = 3 or N = 4 terminal vertices. We also find cubic invariants for a ten-parameter model with k = 4 states, for rooted trees with N = 4. In each case, we use implicit function theory to predict the number of algebraically independent invariants and then use this prediction to guide a systematic search for algebraic dependence within the set of invariants produced by our method.

Animals↗

Hypothesis testing in evolutionary inference.

The comparative method, amongst other things, searches for correlations between evolutionary variables. These can be used to test null hypotheses. Here I consider, in the context of binary variables, the bases of such tests. I examine grounds upon which evolutionary traits and events can be regarded as statistically independent of each other. I argue that no description of observations as independent or non-independent makes sense except in the context of a population of possible observations from which they are regarded as having being sampled. Significant correlations between traits or changes in traits in comparative tests have been taken by some to imply causal links between traits. However, the statistical significance of an observed correlation between traits is neither necessary nor sufficient for the inference of a causal connection between them.

Animals↗

Role of enzyme-substrate flexibility in catalytic activity: an evolutionary perspective.

Site-directed mutagenesis has proved an effective experimental technique to investigate catalytic mechanisms and to determine relations between enzyme structure and function. This article invokes an analytical model based on evolution by mutation and natural selection-Nature's analogue of site-directed mutagenesis-to derive a set of general rules relating enzyme structure and activity. The catalysts are described in terms of the structural parameters, rigidity and flexibility, and the functional variables, reaction rate and substrate specificity. The evolutionary model predicts the following structure-activity relations: (a) rigid enzyme-flexible substrate: large variation in reaction rates, broad substrate specificity; (b) rigid enzyme-rigid substrate: diffusion controlled rates, absolute specificity; (c) flexible enzyme-rigid substrate: intermediate reaction rates, group specificity; (d) flexible enzyme-flexible substrate: slow rates, absolute specificity. Spectroscopic methods and X-ray crystallography now yield important characteristics of enzyme-substrate complexes such as molecular flexibility. The evolutionary analysis we have exploited provides general principles for inferring catalytic activity from structural studies of enzyme-substrate complexes.

Animals↗

Optimal stoichiometric designs of ATP-producing systems as determined by an evolutionary algorithm.

The design of metabolic pathways is thought to be the result of an optimization process such that the structure of contemporary metabolic routes maximizes a particular objective function. Recently, it has been shown that some essential stoichiometric properties of glycolysis can be explained on the basis of the requirement for a high ATP production rate. Because the number of stoichiometrically feasible designs increases strongly with the number of reactions involved, a systematic analysis of all the possibilities turns out to be inaccessible beyond a certain system size. We present, therefore, an alternative approach to compute in a more efficient way the optimal design of glycolysis interacting with an external ATP-consuming reaction. The algorithm is based on the laws of evolution by natural selection, and may be viewed as a particular version of evolutionary algorithms. The following conclusions are derived: (a) evolutionary algorithms are very useful search strategies in determining optimal stoichiometries of metabolic pathways. (b) Essential topological features of the glycolytic network may be explained on the basis of flux optimization. (c) There is a strong interrelation between the optimal stoichiometries and the thermodynamic and kinetic properties of the participating reactions. (d) Some subsequences of reactions in optimal pathways are strongly conserved at variation of system parameters, which may be understood by applying principles of metabolic control analysis.

Adenosine Triphosphatases↗

The evolutionary language game.

We explore how evolutionary game dynamics have to be modified to accomodate a mathematical framework for the evolution of language. In particular, we are interested in the evolution of vocabulary, that is associations between signals and objects. We assume that successful communication contributes to biological fitness: individuals who communicate well leave more offspring. Children inherit from their parents a strategy for language learning (a language acquisition device). We consider three mechanisms whereby language is passed from one generation to the next: (i) parental learning: children learn the language of their parents; (ii) role model learning: children learn the language of individuals with a high payoff; and (iii) random learning: children learn the language of randomly chosen individuals. We show that parental and role model learning outperform random learning. Then we introduce mistakes in language learning and study how this process changes language over time. Mistakes increase the overall efficacy of parental and role model learning: in a world with errors evolutionary adaptation is more efficient. Our model also provides a simple explanation why homonomy is common while synonymy is rare.

Biological Evolution↗

The influence of selection on the evolutionary distance estimated from the base changes observed between homologous nucleotide sequences.

In most studies of molecular evolution, the nucleotide base at a site is assumed to change with the apparent rate under functional constraint, and the comparison of base changes between homologous genes is thought to yield the evolutionary distance corresponding to the site-average change rate multiplied by the divergence time. However, this view is not sufficiently successful in estimating the divergence time of species, but mostly results in the construction of tree topology without a time-scale. In the present paper, this problem is investigated theoretically by considering that observed base changes are the results of comparing the survivals through selection of mutated bases. In the case of weak selection, the time course of base changes due to mutation and selection can be obtained analytically, leading to a theoretical equation showing how the selection has influence on the evolutionary distance estimated from the enumeration of base changes. This result provides a new method for estimating the divergence time more accurately from the observed base changes by evaluating both the strength of selection and the mutation rate. The validity of this method is verified by analysing the base changes observed at the third codon positions of amino acid residues with four-fold codon degeneracy in the protein genes of mammalian mitochondria; i.e. the ratios of estimated divergence times are fairly well consistent with a series of fossil records of mammals. Throughout this analysis, it is also suggested that the mutation rates in mitochondrial genomes are almost the same in different lineages of mammals and that the lineage-specific base-change rates indicated previously are due to the selection probably arising from the preference of transfer RNAs to codons.

Animals↗

Molecular systematics, zoogeography, and evolutionary ecology of the atlantic parrotfish genus Sparisoma.

Parrotfishes of the genus Sparisoma (Scaridae) are ecologically important tropical reef fishes restricted to the Atlantic Ocean. We investigated phylogenetic relationships among the eight extant species within this genus using mitochondrially encoded 12S and 16S ribosomal genes. Our molecular data support the view that (i) Sparisoma originated approximately 14-35 million years ago (mya), probably in the tropical western Atlantic, off Brazil; (ii) there have been at least four discrete bouts of cladogenesis within the genus, with the most recent one ( approximately 2.8-5.6 mya) involving four events in both the east and the west Atlantic and across the Atlantic; and (iii) the genus invaded the eastern Atlantic on two different occasions, probably by at least two different routes. The data also offer support for Bellwood's ideas concerning the evolutionary changes in adult feeding patterns and habitat use within Scarids. Specifically, they support the evolutionary position of the ecological traits of Sparisoma as intermediate within the family.

Animals↗

Parallel acceleration of evolutionary rates in symbiont genes underlying host nutrition.

The overproduction of essential amino acids by Buchnera aphidicola, the primary bacterial mutualist of aphids, is considered an adaptation for increased production of nutrients that are lacking in aphids' diet of plant sap. Given their shared role in host nutrition, amino acid biosynthetic genes of Buchnera are expected to experience parallel changes in selection that depend on host diet quality, growth rate, and population structure. This study evaluates the hypothesis of parallel selection across biosynthetic pathways by testing for correlated changes in evolutionary rates at biosynthetic genes of Buchnera. Previous studies show fast evolutionary rates at tryptophan biosynthetic genes among Buchnera associated with the aphid genus Uroleucon and suggest reduced purifying selection on symbiont nutritional functions in this aphid group. Here, we test for parallel rate acceleration at other amino acid biosynthetic genes of Buchnera-Uroleucon, including those for leucine (leuABC) and isoleucine/valine biosynthesis (ilvC). Ratios of nonsynonymous to synonymous substitutions (d(N)/d(S)) were estimated using codon-based maximum-likelihood methods that account for the extreme AT compositional bias of Buchnera sequences. A significant elevation in d(N)/d(S) at biosynthetic loci but not at two housekeeping genes sampled (dnaN and tuf) suggests reduced host-level selection on biosynthetic capabilities of Buchnera-Uroleucon. In addition, the discovery of trpEG pseudogenes in Buchnera-U. obscurum further supports reduced selection on amino acid biosynthesis.

Alcohol Oxidoreductases↗

Evolutionary relationships of trichostrongyloid nematodes (Strongylida) inferred from ribosomal DNA sequence data.

The evolutionary relationships of 21 species of trichostrongyloid nematodes were determined by use of sequence data of the second internal transcribed spacer of the ribosomal DNA aligned according to secondary structure information. Irrespective of the method of analysis used, the topologies of the phylogenetic trees derived from the molecular data differed with respect to all four hypotheses proposed previously for the evolutionary relationships of the different subfamilies within the Trichostrongylidae based on morphological data. Thus, the molecular data set did not resolve the conflict between the four previous proposals for the subfamilial relationships. Nonetheless, all trees derived from the molecular data showed strong support for the exclusion of the genera Filarinema and Amidostomum from the clade containing the species within the family Trichostrongylidae. This represents a major difference from the most recent proposal of the systematics of the Trichostrongyloidea in which these two genera were included within the Trichostrongylidae. Therefore, the molecular data support an earlier systematic framework in which Filarinema and Amidostomum were considered to be sister groups of the Trichostrongyloidea.

Animals↗

Evolutionary health promotion.

Health promotion's promise is enormous, but its potential is, as yet, unmatched by accomplishment. Life expectancy increases track more closely with economic prosperity and sanitary engineering than with strictly medical advances. Notable achievements in the past century--the decreased incidences of epidemic infections, dental caries, and stomach cancer--are owed to virologists, dentists, and (probably) refrigeration more than to physicians. Prevention speaks against tobacco abuse with a single voice, but in many other areas contradictory research findings have generated skepticism and even indifference among the general public for whom recommendations are targeted. Health promotion's shortcomings may reflect lack of an overall conceptual framework, a deficiency that might be corrected by adopting evolutionary premises: (1) The human genome was selected in past environments far different from those of the present. (2) Cultural evolution now proceeds too rapidly for genetic accommodation--resulting in dissociation between our genes and our lives. (3) This mismatch between biology and lifestyle fosters development of degenerative diseases. These principles could inform a research agenda and, ultimately, public policy: (1) Better characterize differences between ancient and modern life patterns. (2) Identify which of these affect the development of disease. (3) Integrate epidemiological, mechanistic, and genetic data with evolutionary principles to create an overarching formulation upon which to base persuasive, consistent, and effective recommendations.

Biological Evolution↗

Evolutionary health promotion: a consideration of common counterarguments.

The proposal that Late Paleolithic (50,000-10,000 BP) ancestral experience might serve as a model for prevention research and even, if justified by experiment, as a paradigm for health promotion recommendations is sometimes discounted, before critical assessment, because of reservations based on unjustified preconceptions. Most often such biases involve comparative life expectancy, potential genetic change since agriculture, the heterogeneity of ancestral environments, and/or innate human adaptability. This paper examines these topics and attempts to show that none of them justifies a priori dismissal of the evolutionary approach to preventive medicine. Evolutionary health promotion may ultimately be invalidated because of its falsification by experiment or because another theory accords better with known facts, but these commonly held prejudices should not forestall its thoughtful consideration and investigative evaluation.

Adaptation, Physiological↗

Evolutionary preservation of redundant duplicated genes.

Gene duplication events produce both perfect and imperfect copies of genes. Perfect copies are said to be functionally redundant when knockout of one gene produces no 'scoreable', phenotypic effects. Preserving identical, duplicate copies of genes is problematic as all copies are prone to accumulate neutral mutations as pseudogenes, or more rarely, evolve into new genes with novel functions. We summarise theoretical treatments for the invasion and subsequent evolutionary modification of functionally redundant genes. We then consider the preservation of functionally identical copies of a gene over evolutionary time. We present several models for conserving redundancy: asymmetric mutation, asymmetric efficacy, pleiotropy, developmental buffering, allelic competition and regulatory asymmetries. In all cases, some form of symmetry breaking is required to maintain functional redundancy indefinitely.

Animals↗

An Evolutionary Framework Exploiting Virologs and Their Host Origins to Inform Poxvirus Protein Functions.

Poxviruses represent evolutionary successful infectious agents. As a family, poxviruses can infect a wide variety of species including humans, fish, and insects. While many other viruses are species-specific, an individual poxvirus species is often capable of infecting diverse hosts and cell types. For example, the prototypical poxvirus, vaccinia, is well known to infect numerous human cell types but can also infect cells from divergent hosts like frog neurons. Notably, poxvirus infections result in both detrimental human and animal diseases. The most infamous disease linked to a poxvirus is smallpox caused by variola virus. Poxviruses are large double-stranded DNA viruses, which uniquely replicate in the cytoplasm of cells. The model poxvirus genome encodes ~200 nonoverlapping protein-coding open reading frames (ORFs). Poxvirus gene products impact various biological processes like the production of virus particles, the host range of infectivity, and disease pathogenesis. In addition, poxviruses and their gene products have biomedical application with several species commonly engineered for use as vaccines and oncolytic virotherapy. Nevertheless, we still have an incomplete understanding of the functions associated with many poxvirus genes. In this chapter, we outline evolutionary insights that can complement ongoing studies of poxvirus gene functions and biology, which may serve to elucidate new molecular activities linked to this biomedically relevant class of viruses.

Animals↗

Synthetic amphiploids in breeding--genetic and evolutionary studies in wheat.

Synthetic amphiploids play an important role in breeding programs of wheat and in the genetic and evolutionary studies of the wheat group. One of the most obvious uses of amphiploidy has been the development of hexaploid and octaploid Triticale. The utilization of synthetic amphiploids as a means of introducing commercially important features of related species into cultivated wheat is now well documented. The projects to produce hybrid wheat are based on the manipulation of cytoplasms and restorers by means of artificially obtained amphiploids. The amphiploidization of interspecific hybrids by treatment with colchicine results in homozygosity. Therefore, a direct use of synthetic amphiploids for genetic studies has been limited to some extent. More often they were used indirectly, viz. as the initial step in the production of single chromosome addition and substitution lines. Such lines were used for detailed and highly informative genetic analyses and also as sources of alien variation for wheat breeding. Crosses between some of the synthetic amphiploids resembling natural species and the cultivated wheats have been successfully used in the evolutionary studies of wheats.

Biological Evolution↗