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At least 865 records · Page 48Linked to original sources
PubMed2006

Ecological and evolutionary genomics of Saccharomyces cerevisiae.

Saccharomyces cerevisiae, the budding yeast, is the most thoroughly studied eukaryote at the cellular, molecular, and genetic levels. Yet, until recently, we knew very little about its ecology or population and evolutionary genetics. In recent years, it has been recognized that S. cerevisiae occupies numerous habitats and that populations harbour important genetic variation. There is therefore an increasing interest in understanding the evolutionary forces acting on the yeast genome. Several researchers have used the tools of functional genomics to study natural isolates of this unicellular fungus. Here, we review some of these studies, and show not only that budding yeast is a prime model system to address fundamental molecular and cellular biology questions, but also that it is becoming a powerful model species for ecological and evolutionary genomics studies as well.

Ecology↗
PubMed2005

Evolutionary divergence and possible incipient speciation in post-glacial populations of a cosmopolitan aquatic plant.

Habitat configuration is expected to have a major influence on genetic exchange and evolutionary divergence among populations. Aquatic organisms occur in two fundamentally different habitat types, the sea and freshwater lakes, making them excellent models to study the contrasting effects of continuity vs. isolation on genetic divergence. We compared the divergence in post-glacial populations of a cosmopolitan aquatic plant, the pondweed Potamogeton pectinatus that simultaneously occurs in freshwater lakes and coastal marine sites. Relative levels of gene flow were inferred in 12 lake and 14 Baltic Sea populations in northern Germany using nine highly polymorphic microsatellite markers developed for P. pectinatus. We found highly significant isolation-by-distance in both habitat types (P < 0.001). Genetic differentiation increased approximately 2.5-times faster among freshwater populations compared with those from the Baltic Sea. As different levels of genetic drift or population history cannot explain these differences, higher population connectivity in the sea relative to freshwater populations is the most likely source of contrasting evolutionary divergence. These findings are consistent with the notion that freshwater angiosperms are more conducive to allopatric speciation than their life-history counterparts in the sea, the relative species poor seagrasses. Surprisingly, population pairs from different habitat types revealed almost maximal genetic divergence expected for complete reproductive isolation, regardless of their respective geographical distance. Hence, the barrier to gene flow between lake and sea habitat types cannot be due to dispersal limitation. We may thus have identified a case of rapid incipient speciation in post-glacial populations of a widespread aquatic plant.

Baltic States↗
PubMed2026

Identification and characterization of non-canonical azole antifungal resistance pathways in Aspergillus fumigatus.

UNLABELLED: Human fungal infections, especially those caused by Aspergillus fumigatus, pose a significant global health threat, particularly in immunocompromised individuals. Azole antifungals are the primary treatment for this pathogen; however, the prevalence of azole-resistant A. fumigatus strains is steadily increasing. Mutations in cyp51A, which encodes an enzyme involved in ergosterol biosynthesis and the molecular target of the azoles, are well established to confer resistance in this fungal species. However, additional mechanisms governing resistance to this antifungal class remain understudied and poorly characterized, despite growing recognition of their importance in clinical resistance. In this study, we investigated the genetic basis of azole resistance in A. fumigatus isolates from clinical settings worldwide, with a particular focus on mechanisms independent of cyp51A (non-canonical). Using a combination of genomic and functional approaches, including whole-genome sequencing and transcriptomic analysis, we identified novel genetic variants and characterized population structure, advancing our understanding of the genetic diversity and evolutionary dynamics of resistance in A. fumigatus. By expanding our understanding of the complex genetic and molecular factors underlying azole resistance in this important human fungal pathogen, this research is poised to inform the development of novel antifungal strategies and contribute to global efforts to combat fungal infections. IMPORTANCE: Azole antifungals are the frontline therapy for infections caused by the opportunistic mold Aspergillus fumigatus, yet resistance to these drugs is rapidly increasing worldwide. Most studies have focused on mutations in cyp51A, the canonical target of azoles; however, a growing proportion of resistant clinical isolates lack these mutations, indicating that alternative resistance mechanisms are emerging. Here, we integrate population genomics, transcriptomics, and functional analyses across a global collection of isolates to define the architecture of cyp51-independent (non-canonical) azole resistance. We show that this resistance phenotype is strongly associated with a distinct population lineage and is driven by a highly polygenic network of metabolic, mitochondrial, and regulatory adaptations rather than single target site mutations. These isolates exhibit extensive transcriptional rewiring and metabolic remodeling under azole stress, suggesting distinct survival strategies beyond canonical resistance. Our findings reveal that azole resistance in A. fumigatus can evolve through diverse evolutionary routes and emphasize the need to monitor and therapeutically target non-canonical pathways that may increasingly contribute to antifungal treatment failure.

Aspergillus fumigatus↗
PubMed2005

Population genetic analysis identifies source-sink dynamics for two sympatric garter snake species (Thamnophis elegans and Thamnophis sirtalis).

Population genetic structure can be shaped by multiple ecological and evolutionary factors, but the genetic consequences of these factors for multiple species inhabiting the same environment remain unexplored. We used microsatellite markers to examine the population structures of two coexisting species of garter snake, Thamnophis elegans and Thamnophis sirtalis, to determine if shared landscape and biology imposed similar population genetic structures. These snakes inhabit a series of ponds, lakes and flooded meadows in northern California and tend to converge on prey type wherever they coexist. Both garter snakes had comparable effective population sizes and bidirectional migration rates (estimated using a maximum-likelihood method based on the coalescent) with low but significant levels of genetic differentiation (F(ST) = 0.024 for T. elegans and 0.035 for T. sirtalis). Asymmetrical gene flow revealed large source populations for both species as well as potential sinks, suggesting frequent extinction-recolonization and metapopulation dynamics. In addition, we found a significant correlation between their genetic structures based on both pairwise F(ST)s for shared populations (P = 0.009) and for bidirectional migration rates (P = 0.024). Possible ecological and evolutionary factors influencing similarities and differences in genetic structure for the two species are discussed. Genetic measures of effective population size and migration rates obtained in this study are also compared with estimates obtained from mark-recapture data.

Animal Migration↗
PubMed2002

Playing chicken (Gallus gallus): methodological inconsistencies of molecular divergence date estimates due to secondary calibration points.

For any given taxonomic divergence event, one may find in the literature a wide range of time estimates. Many factors contribute to the variation in molecular date estimates for the same evolutionary event. High on the list is the choice of calibration points for converting genetic distances into evolutionary rates and, subsequently, into dates of divergence. In this study, we investigate one critical source of error in estimating divergence times, i.e. the use of secondary calibration points, which are divergence time estimates that have been derived from one molecular dataset on the basis of a primary external calibration point, and which are used again independently of the original external calibration point on a second dataset. Unless particular care is exercised, this practice leads to internal inconsistencies, and the inferred dates of divergence are by necessity unreliable. We present a consistency test for assessing the reliability of divergence time estimates based on secondary calibration points. As a case study, we examine recent estimates of divergence times among phyla and kingdoms based on multiple nuclear protein-coding genes, and show that they fail the consistency test.

Amino Acid Substitution↗
PubMed1997

Canalization: a molecular genetic perspective.

The phenomenon of canalization--the genetic capacity to buffer developmental pathways against mutational or environmental perturbations--was first characterized in the late 1930s and early 1940s. Despite enormous subsequent progress in understanding the nature of the genetic material and the molecular basis of gene expression, there have been few attempts to interpret the classical work on canalization in molecular genetic terms. Some recent findings, however, bear on one form of canalization, 'genetic canalization', the stabilization of development against mutational effects. These data indicate that co-expressed paralogous genes can function as mutual 'back-up' elements in developmental processes. Paralogues, however, are far from the only basis of canalization: other genetic sources can be readily envisaged and some of these are described here. The evolutionary questions about genetic canalization and the mechanistic questions about developmental instability that still need to be addressed are also briefly discussed.

Animals↗
PubMed1983

Conservation patterns of mouse "virus-like" (VL30) DNA sequences.

VL30 sequences are a murine dispersed multigene family with several "retrovirus-like" characteristics. Notably, they share basic structural features with retrovirus proviruses and 30S RNA transcripts of these genes are capable of efficient packaging in C-type virions and may be subsequently transmitted to other cells. It is not known whether VL30 information is genetically related to endogenous proviruses or to cellular elements. We extended our studies concerning evolutionary conservation and genetic relationships of VL30 sequences within and outside the genus Mus. The following observations were made: (i) Although VL30 DNA sequences were detected in all mice examined, analysis of VL30 reiteration disclosed up to a 100-fold difference among different Mus species. For example, only 1-3 VL30 copies were detected in M. pahari compared to approximately 200 VL30 copies in certain strains of M. musculus. (ii) Using low-stringency hybridization conditions, nucleotide sequences homologous to mouse VL30 DNA were detected in the DNAs of other animal cells such as rat and human. (iii) The cross-hybridization between mouse VL30 DNA and rat genomic DNA was fully accounted for by the cross-homology between the respective VL30 elements. The homologous regions were mapped and were found confined within a small fragment (less than 1kb) in both mouse VL30 and rat 30S DNA (as well as in Ha-MSV). The data suggested differential conservation of subsets of VL30 information. (iv) A subset of VL30 information was found in the mouse genome in molecular linkages other than "standard" VL30 units (that is a segment of VL30 DNA flanked by non-VL30 sequences). Results are discussed in terms of the possible evolution of VL30 sequences.

Animals↗
PubMed2005

Biological engineering applications of feedforward neural networks designed and parameterized by genetic algorithms.

Two neural network (NN) applications in the field of biological engineering are developed, designed and parameterized by an evolutionary method based on the evolutionary process of genetic algorithms. The developed systems are a fault detection NN model and a predictive modeling NN system. An indirect or 'weak specification' representation was used for the encoding of NN topologies and training parameters into genes of the genetic algorithm (GA). Some a priori knowledge of the demands in network topology for specific application cases is required by this approach, so that the infinite search space of the problem is limited to some reasonable degree. Both one-hidden-layer and two-hidden-layer network architectures were explored by the GA. Except for the network architecture, each gene of the GA also encoded the type of activation functions in both hidden and output nodes of the NN and the type of minimization algorithm that was used by the backpropagation algorithm for the training of the NN. Both models achieved satisfactory performance, while the GA system proved to be a powerful tool that can successfully replace the problematic trial-and-error approach that is usually used for these tasks.

Algorithms↗
PubMed2000

Permanence or change? The meaning of genetic variation.

Selected aspects of the evolutionary process and more specifically of the genetic variation are considered, with an emphasis in studies performed by my group. One key aspect of evolution seems to be the concomitant occurrence of dichotomic, contradictory (dialect) processes. Genetic variation is structured, and the dynamics of change at one level is not necessarily paralleled by that in another. The pathogenesis-related protein superfamily can be cited as an example in which permanence (the maintenance of certain key genetic features) coexists with change (modifications that led to different functions in different classes of organisms). Relationships between structure and function are exemplified by studies with hemoglobin Porto Alegre. The genetic structure of tribal populations may differ in important aspects from that of industrialized societies. Evolutionary histories also may differ when considered through the investigation of patrilineal or matrilineal lineages. Global evaluations taking into consideration all of these aspects are needed if we really want to understand the meaning of genetic variation.

Africa↗
PubMed1999

Patterns of gene flow inferred from genetic distances in the Mediterranean region.

The analysis of population structure may lead to inferences about demographic phenomena. In particular, regions of sharp genetic differentiation suggest the existence of factors that impaired gene flow and increased the evolutionary role of genetic drift. Here, we present an analysis of a data set of 10 allele frequencies in 39 populations of the Mediterranean region. As a preliminary step, we describe spatial patterns of allele frequencies using spatial autocorrelation analysis. We then construct a network connecting localities and estimate genetic distances along the edges of the network. By applying specific algorithms, we locate on the map the areas of sharpest genetic differentiation, or genetic boundaries. The main boundaries separate the northern and the southern coasts, especially in their western portions; in addition, several localities appear genetically isolated. The comparatively high genetic differentiation across the western Mediterranean, where the sea distances between localities are shorter, strongly suggests that the sea distance by itself can hardly be regarded as a major isolating factor among these populations. On the contrary, the decrease in genetic resemblance between populations of the 2 coasts as one proceeds westward may reflect an increased genetic exchange in the eastern Mediterranean basin or independent human dispersal along the 2 coasts or both.

Algorithms↗
PubMed2002

Does natural selection promote population divergence? A comparative analysis of population structure using amplified fragment length polymorphism markers and quantitative traits.

Divergent natural selection is considered an important force in plant evolution leading to phenotypic differentiation between populations exploiting different environments. Extending an earlier greenhouse study of population differentiation in the selfing annual plant Senecio vulgaris, we estimated the degree of population divergence in several quantitative traits related to growth and life history and compared these estimates with those based on presumably neutral molecular markers (amplified fragment length polymorphisms; AFLPs). This approach allowed us to disentangle the effects of divergent selection from that of other evolutionary forces (e.g. genetic drift). Five populations were examined from each of two habitat types (ruderal and agricultural habitats). We found a high proportion of total genetic variance to be among populations, both for AFLP markers (phiST = 0.49) and for quantitative traits (range of QST: 0.26-0.77). There was a strong correlation between molecular and quantitative genetic differentiation between pairs of populations (Mantel's r = 0.59). However, estimates of population differentiation in several quantitative traits exceeded the neutral expectation (estimated from AFLP data), suggesting that divergent selection contributed to phenotypic differentiation, especially between populations from ruderal and agricultural habitats. Estimates of within-population variation in AFLP markers and quantitative genetic were poorly correlated, indicating that molecular marker data may be of limited value to predict the evolutionary potential of populations of S. vulgaris.

DNA, Plant↗
PubMed2000

Budding yeast as a model organism for population genetics.

Population genetics is a highly theoretical field in which many models and theories of broad significance have received little experimental testing. Microbes are well-suited for empirical population genetics since populations of almost any size may be studied genetically, and because many have easily controlled life cycles. Saccharomyces cerevisiae is almost ideal for such studies as the growing body of knowledge and techniques that have made it the best characterized eukaryote genome also allow the experimental manipulation and analysis of its population genetics. In experiments to date, the evolution of laboratory yeast populations has been observed for up to 1000 generations. In several cases, adaptation has occurred by gene duplications. The interaction between mutation, selection and genetic drift at varying population sizes is a major area of theoretical study in which yeast experiments can provide particularly valuable data. Conflicts between gene-level and among-cell selection, and co-evolution between genes within a genome, are additional topics in which a population genetics perspective may be particularly helpful. The growing field of genomics is increasingly complementary with that of population genetics. The characterization of the yeast genome presents unprecedented opportunities for the detailed study of evolutionary and population genetics. Conversely, the redundancy of the yeast genome means that, for many open reading frames, deletion has only a quantitative effect that is most readily observed in competitions with a wild-type strain.

Adaptation, Biological↗
PubMed1990

Genetic variation in clonal vertebrates detected by simple-sequence DNA fingerprinting.

The measurement of clonal heterogeneity is central to understanding the evolutionary and population genetics of the roughly 50 species of vertebrates that lack effective genetic recombination. Simple-sequence DNA fingerprinting with oligonucleotide probes (CAC)5 and (GACA)4 is a sensitive and efficient means of detecting this heterogeneity in natural populations of two clonal fishes, Poecilia formosa, an apomictic unisexual, and Rivulus marmoratus, a selfing hermaphrodite. The fingerprints are clonally stable for at least three generations. The technique clearly differentiates allozymically identical laboratory lines of R. marmoratus that were previously distinguishable only by histocompatibility analysis. The technique also reveals apparent cases of shifts in clonal composition of a natural population of each species. Clonal variation in most natural populations is quite high. For example, a sample of 19 specimens of P. formosa from one station on the Rio Soto la Marina contained 16 clones (average clonal frequency = 0.07). This level of clonal diversity implies that mutation, subsequent to the founding of clonal lineages, is an important source of variation in these populations. It also suggests that chance (sampling error) has a previously unappreciated role in determining the clonal composition of populations even though some of the clones may be divergent in biologically significant features.

Animals↗
PubMed2001

Complete coding sequence of the Alkhurma virus, a tick-borne flavivirus causing severe hemorrhagic fever in humans in Saudi Arabia.

To date, tick-borne flaviviruses responsible for hemorrhagic fever in humans have been isolated in Siberia (Omsk hemorrhagic fever virus), India (Kyasanur Forest disease virus, KFDV), and in Saudi Arabia (Alkhurma virus, ALKV). Prior to this study, only partial coding sequences of these severe pathogens had been determined. We report here the complete coding sequence of ALK virus, which was determined to be 10,248 nucleotides (nt) long, and to encode a single 3,416 amino acid polyprotein. Independent analyses of the complete polyprotein and the envelope protein provided genetic and phylogenetic evidence that ALKV belongs to the tick-borne flavivirus group, within which it is most closely related to KFDV. Analysis of structural genes, genetic distances, and evolutionary relationship indicate that ALKV and KFDV derived from a common phylogenetic ancestor and constitute two genetic subtypes of the same virus species according to current genetic criteria of classification.

Flavivirus↗
PubMed1989

Linguistics of nucleotide sequences. I: The significance of deviations from mean statistical characteristics and prediction of the frequencies of occurrence of words.

Mathematical models of the generation of genetic texts appeared simultaneously with the first sequencing DNA. They are used to establish functional and evolutionary relations between genetic texts, to predict the number and distribution of specific sites in a sequence and to identify "meaningful" words. The present paper deals with two problems: 1) The significance of deviations from the mean statistical characteristics in a genetic text. Anyone who has addressed himself to the statistical analysis of sequenced DNA is familiar with the question: what deviations from the expected frequencies of occurrence of particular words testify to the "biological" significance of those words? We propose a formula for the variance of the number of word's occurrences in the text, with allowance for word overlaps, making it possible to assess the significance of the deviations from the expected statistical characteristics. 2) A new method for predicting the frequencies of occurrence of particular words in a genetic text using the statistical characteristics of "spaced" L-grams. The method can be used for predicting the number of restriction sites in human DNA and in planning experiments on the physical mapping and sequencing of the human genome.

Bacteriophage lambda↗
PubMedDate not supplied

[A possible role of genetic translation ambiguity in evolution ].

A hypothesis has been suggested that the variability of translation machinery is one of the key factors of evolutionary transformations of genetic material. It considers a module principle of the evolution theory based on the concepts of duplication and divergence of genetic material, which is required for origination of new genes and proteins with new functions. The duplication results in the appearance of pseudogenes, functionally inactive, but serving a material for creating new functions. The possible mechanisms changing the translation machinery have been considered, which may lead to the sporadic pseudogene activation "supplying" natural selection with mutational changes accumulated by pseudogenes to assess their adaptive value. This takes into account not only potential possibilities of mutational variability of the translation machinery, but also the possibility of protein prioritization: a prion mechanism of inheritance is also considered which is intensively studied nowadays.

Animals↗