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Insights into the evolutionary history of tubercle bacilli as disclosed by genetic rearrangements within a PE_PGRS duplicated gene pair.

BACKGROUND: The highly homologous PE_PGRS (Proline-glutamic acid_polymorphic GC-rich repetitive sequence) genes are members of the PE multigene family which is found only in mycobacteria. PE genes are particularly abundant within the genomes of pathogenic mycobacteria where they seem to have expanded as a result of gene duplication events. PE_PGRS genes are characterized by their high GC content and extensive repetitive sequences, making them prone to recombination events and genetic variability. RESULTS: Comparative sequence analysis of Mycobacterium tuberculosis genes PE_PGRS17 (Rv0978c) and PE_PGRS18 (Rv0980c) revealed a striking genetic variation associated with this typical tandem duplicate. In comparison to the M. tuberculosis reference strain H37Rv, the variation (named the 12/40 polymorphism) consists of an in-frame 12-bp insertion invariably accompanied by a set of 40 single nucleotide polymorphisms (SNPs) that occurs either in PE_PGRS17 or in both genes. Sequence analysis of the paralogous genes in a representative set of worldwide distributed tubercle bacilli isolates revealed data which supported previously proposed evolutionary scenarios for the M. tuberculosis complex (MTBC) and confirmed the very ancient origin of "M. canettii" and other smooth tubercle bacilli. Strikingly, the identified polymorphism appears to be coincident with the emergence of the post-bottleneck successful clone from which the MTBC expanded. Furthermore, the findings provide direct and clear evidence for the natural occurrence of gene conversion in mycobacteria, which appears to be restricted to modern M. tuberculosis strains. CONCLUSION: This study provides a new perspective to explore the molecular events that accompanied the evolution, clonal expansion, and recent diversification of tubercle bacilli.

Evolution, Molecular↗

Genetic diversity and response to IFN of the NS3 protease gene from clinical strains of the hepatitis C virus.

The N-terminal one-third of the hepatitis C virus nonstructural gene 3 (NS3) codes for a serine protease. To investigate natural genetic diversity of this enzyme a nested PCR reaction was developed to obtain NS3 protease sequence data directly from patient strains. This data was used to determine genetic diversity, phylogenetic and evolutionary rates, and selection of variants by interferon therapy. The potential effect of genetic diversity on enzyme structure using molecular modeling was also attempted. Results show significant variability in clinical HCV strains at both the nucleotide (30.2% for 1a and 25.8% for 1b) and amino acid sequences (11.0% for 1a and 9.9% for 1b). Phylogenic analysis shows two distinct clades with two HCV isolates grouping as a sister clade to 1b. Structural analysis reveals that most mutations lie in the N-terminus of the enzyme. When strains were sorted as to whether or not the patient had received antiviral therapy, no difference was found in the number or locations of mutations in 1a strains. However, 1b strains demonstrated an overall drop in the number of positions that were mutated. This study demonstrates significant differences among natural strains that may pose a problem for structure based drug development.

Adult↗

Environmental influence on the genetic basis of mosquito resistance to malaria parasites.

The genetic basis of a host's resistance to parasites has important epidemiological and evolutionary consequences. Understanding this genetic basis can be complicated by non-genetic factors, such as environmental quality, which may influence the expression of genetic resistance and profoundly alter patterns of disease and the host's response to selection. In particular, understanding the environmental influence on the genetic resistance of mosquitoes to malaria gives valuable knowledge concerning the use of malaria-resistant transgenic mosquitoes as a measure of malaria control. We made a step towards this understanding by challenging eight isofemale lines of the malaria vector Anopheles stephensi with the rodent malaria parasite Plasmodium yoelii yoelii and by feeding the mosquitoes with different concentrations of glucose. The isofemale lines differed in infection loads (the numbers of oocysts), corroborating earlier studies showing a genetic basis of resistance. In contrast, the proportion of infected mosquitoes did not differ among lines, suggesting that the genetic component underlying infection load differs from the genetic component underlying infection rate. In addition, the mean infection load and, in particular, its heritable variation in mosquitoes depended on the concentration of glucose, which suggests that the environment affects the expression and the evolution of the mosquitoes' resistance in nature. We found no evidence of genotype-by-environment interactions, i.e. the lines responded similarly to environmental variation. Overall, these results indicate that environmental variation can significantly reduce the importance of genes in determining the resistance of mosquitoes to malaria infection.

Animals↗

Evolution of sex: why do organisms shuffle their genotypes?

Sexual processes alter associations among alleles. To understand the evolution of sex, we need to know both the short-term and long-term consequences of changing these genetic associations. Ultimately, we need to identify which evolutionary forces--for example, selection, genetic drift, migration--are responsible for building the associations affected by sex.

Alleles↗

Evolutionary dynamics of HIV-1 and the control of AIDS.

Human immunodeficiency viruses (HIV) have exhibited an extraordinary capacity for genetic change, exploring new evolutionary space after each transmission to a new host. This presents a great challenge to the prevention and management of HIV-1 infection. At the same time, the relentless diversification of HIV-1, developing as it does under the constraints imposed by the human immune system and other selective forces, contains within it information useful for understanding HIV epidemiology and pathogenesis. Comparing the sheer mutational potential of HIV with actual data representing viral lineages that can survive selection suggests that HIV does not have unlimited capacity for change. Rather, clinical and bioinformatic data suggest that, even in the most diverse gene of the most highly variable organism, natural selection places severe limits on the portion of amino acid sequence space that ensures viability. This suggests some optimism for those attempting to identify sets of antigens that can generate effective humoral and cellular immune responses against HIV.

Acquired Immunodeficiency Syndrome↗

Direct and correlated responses to artificial selection on acute thermal stress tolerance in a livebearing fish.

Tradeoffs in performance or fitness across environments have important implications regarding the nature of evolutionary constraints. It remains controversial whether tradeoffs such as these reflect genetic correlations that are genuine evolutionary constraints. However, if such long-term genetic constraints do exist, they must be due to underlying pleiotropy such that alleles that confer high performance in one environment invariably confer low performance in another. The distribution of genetic correlations within and among populations can provide insight about the existence of such pleiotropic tradeoffs. The long-term association of certain teleost fish taxa with particular abiotic environments suggests that tradeoffs in performance across environments have constrained the geographic distribution of those taxa. Here we report the results of an experiment in which we artificially selected on acute heat- and cold-stress tolerance in two stocks of the poeciliid fish Heterandria formosa from source populations with different thermal histories. Unexpectedly, we observed no direct responses to selection. Under certain conditions, fish from the different source populations differed significantly in cold tolerance, but not in heat tolerance. The results suggest there are no strong pleiotropic tradeoffs between heat- and cold-stress tolerance in these populations.

Animals↗

Reinforcement of genetic coherence in a two-locus model.

BACKGROUND: In order to maintain populations as units of reproduction and thus enable anagenetic evolution, genetic factors must exist which prevent continuing reproductive separation or enhance reproductive contact. This evolutionary principle is called genetic coherence and it marks the often ignored counterpart of cladistic evolution. Possibilities of the evolution of genetic coherence are studied with the help of a two-locus model with two alleles at each locus. The locus at which viability selection takes place is also the one that controls the fusion of gametes. The second locus acts on the first by modifying the control of the fusion probabilities. It thus acts as a mating modifier whereas the first locus plays the role of the object of selection and mating. Genetic coherence is enhanced by modifications which confer higher probabilities of fusion to heterotypic gametic combinations (resulting in heterozygous zygotes) at the object locus. RESULTS: It is shown that mutants at the mating modifier locus, which increase heterotypic fusions but do not lower the homotpyic fusions relative to the resident allele at the object locus, generally replace the resident allele. Since heterozygote advantage at the object locus is a necessary condition for this result to hold true, reinforcement of genetic coherence can be claimed for this case. If the homotypic fusions are lowered, complex situations may arise which may favor or disfavor the mutant depending on initial frequencies and recombination rates. To allow for a generalized analysis including alternative models of genetic coherence as well as the estimation of its degrees in real populations, an operational concept for the measurement of this degree is developed. The resulting index is applied to the interpretation of data from crossing experiments in Alnus species designed to detect incompatibility relations.

Alleles↗

[The genetics of obesity].

Although environmental factors clearly play a role, studies of twins and adoptees show that obesity is a familial trait which to a large degree can be ascribed to genetic factors. According to evolutionary models, obesity-causing variants may originally have had an evolutionary benefit, whereas in a modern environment they pose a risk. Despite a clear genetic cause, the molecular genetic variations underlying common forms of obesity are not clear. Out of many hundred candidates, only a few hold up, and only variations in the MC4R gene have been found with a prevalence which may lead to common forms of obesity.

Genetic Predisposition to Disease↗

Evolutionary speed of species invasions.

Successful invasion may depend of the capacity of a species to adjust genetically to a spatially varying environment. This research modeled a species invasion by examining the interaction between a quantitative genetic trait and population density. It assumed: (I) a quantitative genetic trait describes the adaptation of an individual to its local ecological conditions; (2) populations far from the local optimum grow more slowly than those near the optimum; and (3) the evolution of a trait depends on local population density, because differences in local population densities cause asymmetrical gene flow. This genetics-density interaction determined the propagation speed of populations. Numerical simulations showed that populations spread by advancing as two synchronic traveling waves, one for population density and one for trait adaptation. The form of the density wave was a step front that advances homogenizing populations at their carrying capacity; the adaptation wave was a curve with finite slope that homogenizes populations at full adaptation. The largest speed of population expansion, for a dimensionless analysis, corresponded to an almost homogeneous spatial environment when this model approached an ecological description such as the Fisher-Skellam's model. A large genetic response also favored faster speeds. Evolutionary speeds, in a natural scale, showed a wide range of rates that were also slower compared to models that only consider demographics. This evolutionary speed increased with high heritability, strong stabilizing selection, and high intrinsic growth rate. It decreased for steeper environmental gradients. Also indicated was an optimal dispersal rate over which evolutionary speed declined. This is expected because dispersal moves individuals further, but homogenizes populations genetically, making them maladapted. The evolutionary speed was compared to observed data. Furthermore, a moderate increase in the speed of expansion was predicted for ecological changes related to global warming.

Adaptation, Biological↗

Genetic changes associated with floral adaptation restrict future evolutionary potential.

A commonly accepted evolutionary principle is that adaptive change constrains the potential directions of future evolutionary change. One manifestation of this is Dollo's law, which states that character elimination is irreversible. Although the common occurrence of irreversibility has been documented by phylogenetic analyses of phenotypic transitions, little is known about the underlying causes of this phenomenon. One explanation for evolutionary irreversibility relies on the fact that many characteristics result from interactions between multiple gene products. Such characteristics may often be eliminated by inactivation of just one gene in the network. If they serve no other functions, other genes of the network are then free to accumulate mutations or evolve new functions. Evolutionary change after character loss results in the accumulation of redundant loss-of-function mutations. Such pathway degeneration makes it very unlikely that the characteristic will re-evolve, because multiple simultaneous mutations would be required. Here we describe what appear to be the initial stages of such degeneration in the anthyocyanin pigment pathway associated with an adaptive change from blue to red flowers in the morning glory Ipomoea quamoclit.

Adaptation, Physiological↗

Genetic code origin: are the pathways of type Glu-tRNA(Gln) --> Gln-tRNA(Gln) molecular fossils or not?

A logical-evolutionary analysis is conducted to clarify whether or not pathways of type Glu-tRNA(Gln) --> Gln-tRNA(Gln) are molecular fossils of the mechanism that gave rise to the evolutionary organization of the genetic code. The result of this analysis is that these pathways are most likely a manifestation of this mechanism. This provides strong evidence in favor of the coevolution theory of genetic code origin, as this theory is based on the amino acid biosynthetic transformation taking place on tRNA-like molecules which imprinted the genetic code structuring. Comments on the different interpretations of these pathways found in the literature are also provided.

Evolution, Molecular↗

Protostylid variation in Australopithecus.

Recent advances in computed tomography (CT) and genetics provide new insights into the morphology and biology of anatomical traits, particularly in the dentition. As we move towards a fuller understanding of the genetic and developmental bases for dental traits, we need to reassess the taxonomic and evolutionary variation of established characters. Quantitative genetic analyses indicate that the degree of expression of upper and lower primate cingular remnants are genetically interdependent. This has serious evolutionary implications that need to be explored for fossil hominids. Studies of Carabelli's cusp, a cingular remnant on hominid upper molars, have been advanced through both genetic and CT analyses setting the stage for such an investigation. But its mandibular morphological homologue, the protostylid has not been similarly studied. This paper represents the first step towards a quantitative understanding of the variation and evolution of this trait in early hominids. Since the first discoveries of Australopithecus specimens in South Africa more than sixty years ago, cingular features on lower molars have played a significant role in the description and comparison of hominid taxa. This largely qualitative history is reviewed. Because the modern human classification system for protostylid variation does not adequately describe the variation seen in Australopithecus samples, a quantification scheme with six expression states is established. Using this new protocol, protostylid variation in six species of Australopithecus is assessed. Results from these analyses show that the distribution of the degree of protostylid expression in these species is highly varied. When first, second, and third molar samples are considered separately, the distribution of expression states is found to differ considerably within the same species. These results provide a foundation for further genetic and developmental research on the evolutionary history of the hominid dentition.

Animals↗

Evolution and stability of the G-matrix on a landscape with a moving optimum.

In quantitative genetics, the genetic architecture of traits, described in terms of variances and covariances, plays a major role in determining the trajectory of evolutionary change. Hence, the genetic variance-covariance matrix (G-matrix) is a critical component of modern quantitative genetics theory. Considerable debate has surrounded the issue of G-matrix constancy because unstable G-matrices provide major difficulties for evolutionary inference. Empirical studies and analytical theory have not resolved the debate. Here we present the results of stochastic models of G-matrix evolution in a population responding to an adaptive landscape with an optimum that moves at a constant rate. This study builds on the previous results of stochastic simulations of G-matrix stability under stabilizing selection arising from a stationary optimum. The addition of a moving optimum leads to several important new insights. First, evolution along genetic lines of least resistance increases stability of the orientation of the G-matrix relative to stabilizing selection alone. Evolution across genetic lines of least resistance decreases G-matrix stability. Second, evolution in response to a continuously changing optimum can produce persistent maladaptation for a correlated trait, even if its optimum does not change. Third, the retrospective analysis of selection performs very well when the mean G-matrix (G) is known with certainty, indicating that covariance between G and the directional selection gradient beta is usually small enough in magnitude that it introduces only a small bias in estimates of the net selection gradient. Our results also show, however, that the contemporary G-matrix only serves as a rough guide to G. The most promising approach for the estimation of G is probably through comparative phylogenetic analysis. Overall, our results show that directional selection actually can increase stability of the G-matrix and that retrospective analysis of selection is inherently feasible. One major remaining challenge is to gain a sufficient understanding of the G-matrix to allow the confident estimation of G.

Adaptation, Biological↗

Male killers and the origins of paternal genome elimination.

The haploidizing male killer hypothesis suggests an evolutionary origin for paternal genome elimination (PGE) that is consistent with the ecological correlates of ancestral haplodiploid insect clades. We make use of population genetics models to test the logic and assumptions of this hypothesis with particular emphasis on the co-evolution between bacteria and host. We derive simple invasion conditions for rare modifiers of bacteria transmission and rare modifiers of host survivorship after haploidization. We also study the evolutionary dynamics of both these modifiers. We conclude that PGE shows evolutionary genetic stability and present a comprehensive analysis of the probability that such genetic system evolves due to the action of cytoplasmic genes.

Animals↗

A high-density genetic recombination map of sequence-tagged sites for sorghum, as a framework for comparative structural and evolutionary genomics of tropical grains and grasses.

We report a genetic recombination map for Sorghum of 2512 loci spaced at average 0.4 cM ( approximately 300 kb) intervals based on 2050 RFLP probes, including 865 heterologous probes that foster comparative genomics of Saccharum (sugarcane), Zea (maize), Oryza (rice), Pennisetum (millet, buffelgrass), the Triticeae (wheat, barley, oat, rye), and Arabidopsis. Mapped loci identify 61.5% of the recombination events in this progeny set and reveal strong positive crossover interference acting across intervals of </=50 cM. Significant variations in DNA marker density are related to possible centromeric regions and to probable chromosome structural rearrangements between Sorghum bicolor and S. propinquum, but not to variation in levels of intraspecific allelic richness. While cDNA and genomic clones are similarly distributed across the genome, SSR-containing clones show different abundance patterns. Rapidly evolving hypomethylated DNA may contribute to intraspecific genomic differentiation. Nonrandom distribution patterns of multiple loci detected by 357 probes suggest ancient chromosomal duplication followed by extensive rearrangement and gene loss. Exemplifying the value of these data for comparative genomics, we support and extend prior findings regarding maize-sorghum synteny-in particular, 45% of comparative loci fall outside the inferred colinear/syntenic regions, suggesting that many small rearrangements have occurred since maize-sorghum divergence. These genetically anchored sequence-tagged sites will foster many structural, functional and evolutionary genomic studies in major food, feed, and biomass crops.

Biological Evolution↗

Genetic variation in Australian isolates of myxoma virus: an evolutionary and epidemiological study.

Myxoma virus and the European rabbit have been coevolving in Australia since the introduction of the Standard Laboratory Strain (SLS) of myxoma virus as a biological control agent for rabbits in 1950. To examine the degree of genetic variation that has occurred in the virus between 1950 and 1995 and to find genetic markers to use for epidemiological studies, we have examined 37 recent field isolates of myxoma virus for restriction fragment length polymorphisms (RFLPs) by comparision with the progenitor SLS released in 1950. Fifteen RFLPs in Australian isolates have been identified and characterized by mapping and partial DNA sequence analysis. The RFLPs that are most common are deletion and insertion events in regions of tandem repeats. Some of these RFLPs have been investigated by using polymerase chain reaction to identify them in archival tissue samples. In epidemiological studies we characterized two polymorphisms which occur in the Lausanne strain of myxoma virus (widely introduced into Australia from the 1970s) but not in SLS and showed that all of the viruses we isolated were derived from the SLS.

Amino Acid Sequence↗

Genome structure and evolution in Drosophila: applications of the framework P1 map.

Physical maps showing the relative locations of cloned DNA fragments in the genome are important resources for research in molecular genetics, genome analysis, and evolutionary biology. In addition to affording a common frame of reference for organizing diverse types of genetic data, physical maps also provide ready access to clones containing DNA sequences from any defined region of the genome. In this paper, we present a physical map of the genome of Drosophila melanogaster based on in situ hybridization with 2461 DNA fragments, averaging approximately 80 kilobase pairs each, cloned in bacteriophage P1. The map is a framework map in the sense that most putative overlaps between clones have not yet been demonstrated at the molecular level. Nevertheless, the framework map includes approximately 85% of all genes in the euchromatic genome. A continuous physical map composed of sets of overlapping P1 clones (contigs), which together span most of the euchromatic genome, is currently being assembled by screening a library of 9216 P1 clones with single-copy genetic markers as well as with the ends of the P1 clones already assigned positions in the framework map. Because most P1 clones from D. melanogaster hybridize in situ with chromosomes from related species, the framework map also makes it possible to determine the genome maps of D. pseudoobscura and other species in the subgenus Sophophora. Likewise, a P1 framework map of D. virilis affords potential access to genome organization and evolution in the subgenus Drosophila.

Animals↗