Molecular anthropology: Toward a new evolutionary paradigm

Molecular anthropology: Toward a new evolutionary paradigm     

Mitochondrial gene rearrangements: new paradigm in the evolutionary biology and systematics

Mitochondrial (mt) genomic study may reveal significant insight into the molecular evolution and several other aspects of genome evolution such as gene rearrangements evolution, gene regulation, and replication mechanisms. Other questions such as patterns of gene expression mechanism evolution, genomic variation and its correlation with physiology, and other molecular and biochemical mechanisms can be addressed by the mt genomics. Rare genomic changes have attracted evolutionary biology community for providing homoplasy free evidence of phylogenetic relationships. Gene rearrangements are considered to be rare evolutionary events and are being used to reconstruct the phylogeny of diverse group of organisms. Mt gene rearrangements have been established as a hotspot for the phylogenetic and evolutionary analysis of closely as well as distantly related organisms.     

How evolutionary biology challenges the classical theory of rational choice

A fundamental philosophical question that arises in connection with evolutionary theory is whether the fittest patterns of behavior are always the most rational. Are fitness and rationality fully compatible? When behavioral rationality is characterized formally as in classical decision theory, the question becomes mathematically meaningful and can be explored systematically by investigating whether the optimally fit behavior predicted by evolutionary process models is decision-theoretically coherent. Upon investigation, it appears that in nontrivial evolutionary models the expected behavior is not always in accord with the norms of the standard theory of decision as ordinarily applied. Many classically irrational acts, e.g. betting on the occurrence of one event in the knowledge that the probabilities favor another, can under certain circumstances constitute adaptive behavior. One interesting interpretation of this clash is that the criterion of rationality offered by classical decision theory is simply incorrect (or at least incomplete) as it stands, and that evolutionary theory should be called upon to provide a more generally applicable theory of rationality. Such a program, should it prove feasible, would amount to the logical reduction of the theory of rational choice to evolutionary theory.     

Proteomics: a paradigm shift

Proteome--the protein complement of a genome--has become the protein renaissance and a key research tool in the post-genomic era. The basic technology involves the routine usage of gel electrophoresis and spectrometry procedures for deciphering the primary protein sequence/structure as well as knowing certain unique post-translational modifications that a particular protein has undergone to perform a specific function in the cell. However, the recent advancements in protein analysis have ushered this science to provide deeper, bigger and more valuable perspectives regarding performance of subtle protein-protein interactions. Applications of this branch of molecular biology are as vast as the subject is and include clinical diagnostics, pharmaceutical and biotechnological industries. The 21st century hails the use of products, procedures and advancements of this science as finer touches required for the grooming of fast-paced technology.     

A new evolutionary paradigm for the Parkinson disease gene DJ-1

The DJ-1 gene is extensively studied because of its involvement in familial Parkinson disease. DJ-1 belongs to a complex superfamily of genes that includes both prokaryotic and eukaryotic representatives. We determine that many prokaryotic groups, such as proteobacteria, cyanobacteria, spirochaetes, firmicutes, or fusobacteria, have genes, often incorrectly called "Thij," that are very close relatives of DJ-1, to the point that they cannot be clearly separated from the eukaryotic DJ-1 genes by phylogenetic analyses of their sequences. In addition, and contrary to a previous study that suggested that DJ-1 genes were animal specific, we show that DJ-1 genes are found in at least 5 of the 6 main eukaryotic groups: opisthokonta (both animals and fungi), plantae, chromalveolata, excavata, and amoebozoa. Our results thus provide strong evidence for DJ-1 genes originating before the origin of eukaryotes. Interestingly, we found that some fungal species, among them the model yeast Schizosaccharomyces pombe, have DJ-1-like genes, most likely orthologous to the animal genes. This finding opens new ways for the analysis of the functions of this group of genes.     

Mimicry: the hunting of the supergene

Mimicry is an example of an adaptation that requires the integration of several components. Genetic characterisation of a mimicry polymorphism in a butterfly reveals the expected suppression of recombination among its components, preventing the production of unfit character combinations.     

Playing with Black and Yellow: The Evolvability of a Batesian Mimicry

Irrespective of the selective advantage deriving from similar color pattern, the evolution of Batesian (and Müllerian) mimicry between distantly related insects groups has been perhaps facilitated by the availability to both models and mimics of similar pattern units more likely to be expressed, and to be modified in parallel ways, due to shared developmental constraints. We explore this hypothesis in a comparison of units of black-and-yellow color patterns between wasps (Vespidae) and those syrphids (Syrphidae) that are considered to be their Batesian mimics. As a proxy for evolvability we analyzed the co-occurrence of multiple color pattern within species (either as serial homologues or as expression of intraspecific variation) in 203 species of syrphids and 127 species of wasps. In both the wasps and the syrphids, the most frequent black-and-yellow patterns on the abdomen—all shared between the two insect groups—are also the most extensively linked in the networks of intraspecific co-occurrence, but are not the same in the two insect groups: in accordance with our hypothesis, this suggests positively biased evolvability.     

The influence of trade-off shape on evolutionary behaviour in classical ecological scenarios

Trade-off shapes are crucial to evolutionary outcomes. However, due to different ecological feedbacks their implications may depend not only on the trade-off being considered but also the ecological scenario. Here, we apply a novel geometric technique, trade-off and invasion plots (TIPs), to examine in detail how the shape of trade-off relationships affect evolutionary outcomes under a range of classic ecological scenarios including Lotka-Volterra type and host-parasite interactions. We choose models of increasing complexity in order to gain an insight into the features of ecological systems that determine the evolutionary outcomes. In particular we focus on when evolutionary attractors, repellors and branching points occur and how this depends on whether the costs are accelerating (benefits become ‘increasingly’ costly), decelerating (benefits become ‘decreasingly’ costly) or constant. In all cases strongly accelerating costs lead to attractors while strongly decelerating ones lead to repellors, but with weaker relationships, this no longer holds. For some systems weakly accelerating costs may lead to repellors and decelerating costs may lead to attractors. In many scenarios it is weakly decelerating costs that lead to branching points, but weakly accelerating and linear costs may also lead to disruptive selection in particular ecological scenarios. Using our models we suggest a classification of ecological interactions, based on three distinct criteria, that can produce one of four fundamental TIPs which allow for different evolutionary behaviour. This provides a baseline theory which may inform the prediction of evolutionary outcomes in similar yet unexplored ecological scenarios. In addition we discuss the implications of our results to a number of specific life-history trade-offs in the classic ecological scenarios represented by our models.     

Comparing folding codes in simple heteropolymer models of protein evolutionary landscape: robustness of the superfunnel paradigm

Understanding the evolution of biopolymers is a key element in rationalizing their structures and functions. Simple exact models (SEMs) are well-positioned to address general principles of evolution as they permit the exhaustive enumeration of both sequence and structure (conformational) spaces. The physics-based models of the complete mapping between genotypes and phenotypes afforded by SEMs have proven valuable for gaining insight into how adaptation and selection operate among large collections of sequences and structures. This study compares the properties of evolutionary landscapes of a variety of SEMs to delineate robust predictions and possible model-specific artifacts. Among the models studied, the ruggedness of evolutionary landscape is significantly model-dependent; those derived from more protein-like models appear to be smoother. We found that a common practice of restricting protein structure space to maximally compact lattice conformations results in (i.e., "designs in") many encodable (designable) structures that are not otherwise encodable in the corresponding unrestrained structure space. This discrepancy is especially severe for model potentials that seek to mimic the major role of hydrophobic interactions in protein folding. In general, restricting conformations to be maximally compact leads to larger changes in the model genotype-phenotype mapping than a moderate shifting of reference state energy of the model potential function to allow for more specific encoding via the "designing out" effects of repulsive interactions. Despite these variations, the superfunnel paradigm applies to all SEMs we have tested: For a majority of neutral nets across different models, there exists a funnel-like organization of native stabilities for the sequences in a neutral net encoding for the same structure, and the thermodynamically most stable sequence is also the most robust against mutation.     

Caribbean ciguatera: a changing paradigm

Analyses of ciguatoxicity in the great barracuda Sphyraena barracuda and quantity of toxic benthic dinoflagellates on coastal reefs (correlated with the number of cases of human ciguatera intoxications in Puerto Rico) were used to construct a model formulated on data obtained during the period of 1985-1988. The validity of the proposed model has been questioned by recent data obtained during the period of 1990-2000. Barracuda ciguatoxicity no longer showed a prominent seasonality while the fraction of randomly caught barracuda that were ciguatoxic significantly increased during this period. These two changes, accompanied by the discovery that ciguatoxic fish contained a variety of multiple toxins, appear to be correlated with the steadily increasing periods of elevated sea surface temperatures in this region.