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At least 19 recordsLinked to original sources

Genetic structure, conservation genetics and evidence of speciation by range expansion in shy and white-capped albatrosses.

Six variable microsatellite loci were used to examine genetic structuring in the closely related shy albatross (Thalassarche cauta) and white-capped albatross (T. steadi). First, levels of genetic differentiation between the species, and among three populations within each species, were analysed using amova, FST and RST. We found high levels of genetic structuring and detected many unshared alleles between the species, which provide strong evidence against any contemporary gene flow between them. Within each species, shy albatross populations were found to be genetically distinct whereas white-capped albatross populations were undifferentiated, which implies that dispersal events are much rarer in the former than in the latter. These results formed the basis for the recommendation that the three white-capped albatross populations (as a whole) and each shy albatross population be treated as separate units for conservation. Second, levels of genetic diversity and allelic patterns in shy and white-capped albatrosses were assessed for whether they support earlier mtDNA results suggesting that shy albatrosses arose through range expansion of white-capped albatrosses. All measures indicated lower genetic diversity within shy albatrosses than within white-capped albatrosses and upheld the hypothesis that shy albatrosses were founded by white-capped albatrosses.

Analysis of Variance↗

Genetic structure and genetic variation of influenza viruses.

The following contribution summarizes our most recent results concerning analysis of the influenza A, B and C virus genomes. In addition, we present data on the extent of genetic variation of H1N1 influenza viruses isolated during the months following the 1977 outbreak of H1N1 influenza in China and Russia. A detailed description of these results is published elsewhere.

Base Sequence↗

Molecular ecology of social behaviour: analyses of breeding systems and genetic structure.

Molecular genetic studies of group kin composition and local genetic structure in social organisms are becoming increasingly common. A conceptual and mathematical framework that links attributes of the breeding system to group composition and genetic structure is presented here, and recent empirical studies are reviewed in the context of this framework. Breeding system properties, including the number of breeders in a social group, their genetic relatedness, and skew in their parentage, determine group composition and the distribution of genetic variation within and between social units. This group genetic structure in turn influences the opportunities for conflict and cooperation to evolve within groups and for selection to occur among groups or clusters of groups. Thus, molecular studies of social groups provide the starting point for analyses of the selective forces involved in social evolution, as well as for analyses of other fundamental evolutionary problems related to sex allocation, reproductive skew, life history evolution, and the nature of selection in hierarchically structured populations. The framework presented here provides a standard system for interpreting and integrating genetic and natural history data from social organisms for application to a broad range of evolutionary questions.

Animals↗

Climate Gradients and Habitat Discontinuity Structure Genetic Variation in a Spring-Specialist Plant.

BACKGROUND AND AIMS: Groundwater-dependent ecosystems support disproportionate biodiversity in arid regions, yet the population genetics of spring-specialist plants remains poorly understood. Here, we present the first species-wide genetic dataset for crimson monkeyflower (Mimulus verbenaceus, Phrymaceae), a spring-specialist plant distributed in seeps, springs, and associated riparian areas across desert regions of North America. We aim to relate landscape features and climate gradients to the spatial genetic structuring within this system. METHODS: Using genome-wide reduced representation sequencing data consisting of 10,760 SNPs from 175 individuals across 17 populations, we characterized the patterns of genetic differentiation and diversity. Population structure was assessed using ADMIXTURE and Principal Component Analysis. We examined the contributions of climate to range-wide genetic variation in crimson monkeyflower using redundancy analysis. KEY RESULTS: Patterns of genetic differentiation were more consistent with those of spring-specialist animal taxa than those of upland plants or generalist riparian plants. We found strong population structure at both broad regional scales and at fine local scales. While geographic and spatial structuring was a primary driver of genetic structure across all scales, riparian connectivity influenced local patterns of diversity, and adaptation to local climatic variation was more influential at regional scales, with temperature, relative humidity, and a monsoon-driven climate gradient contributing to genetic differentiation. CONCLUSIONS: Our findings highlight the distinctive association with isolated perennial groundwater sources, as well as climate gradients, with genetic variation in this spring-specialist plant. These findings suggest that spring-specialist plants deserve special consideration in ecological theory, management, and conservation.

Mimulus↗

Neighbour joining trees, dominant markers and population genetic structure.

Population genetic theory for 'traditional' codominant loci showing low levels of allelic diversity (eg allozymes) has been well characterised and evaluated. In contrast, appropriate methods for the analysis of data from more recently developed marker systems are still being refined. For multilocus dominant markers such as amplified fragment length polymorphisms (AFLPs) and randomly amplified polymorphic DNA (RAPDs), the methods of data analysis can be split into two main categories. In population-based approaches, population allele frequencies are compared to obtain some measure of the partitioning of genetic diversity into within- and between-population components. In contrast, individual-based approaches use individual multilocus genotypes as the unit of analysis. Inferences on population processes such as gene flow are based on inter-relationships among individual samples as visualised on phenetic diagrams such as neighbour joining trees. Using a simulation approach coupled with neighbour joining analyses, we show that while the underlying population genetic structure is an important determinant of tree shape in the analysis of dominant data, the number of loci examined also affects the topology. At low levels of population differentiation (eg FST=0.07), mutually exclusive clustering of individuals into their respective populations can occur when sufficiently large numbers of loci are scored (eg 250 loci, typical of many AFLP studies). In contrast, unresolved star-shaped topologies can be recovered at higher levels of population differentiation (FST= >0.15) when lower numbers of loci are employed (eg 50 loci, typical of many RAPD studies). Thus, the relationship between tree topology and the extent of genetic structuring of populations is contingent upon the number of dominant loci scored. The consequences of these findings for the biological interpretation of individual-based analysis of dominant data sets are discussed.

Alleles↗

Spatially structured genetic variation in a broadcast spawning bivalve: quantitative vs. molecular traits.

Understanding the origin, maintenance and significance of phenotypic variation is one of the central issues in evolutionary biology. An ongoing discussion focuses on the relative roles of isolation and selection as being at the heart of genetically based spatial variation. We address this issue in a representative of a taxon group in which isolation is unlikely: a marine broadcast spawning invertebrate. During the free-swimming larval phase, dispersal is potentially very large. For such taxa, small-scale population genetic structuring in neutral molecular markers tends to be limited, conform expectations. Small-scale differentiation of selective traits is expected to be hindered by the putatively high gene flow. We determined the geographical distribution of molecular markers and of variation in a shell shape measure, globosity, for the bivalve Macoma balthica (L.) in the western Dutch Wadden Sea and adjacent North Sea in three subsequent years, and found that shells of this clam are more globose in the Wadden Sea. By rearing clams in a common garden in the laboratory starting from the gamete phase, we show that the ecotypes are genetically different; heritability is estimated at 23%. The proportion of total genetic variation that is between sites is much larger for the morphological additive genetic variation (QST = 0.416) than for allozyme (FST = 0.000-0.022) and mitochondrial DNA cytochrome-c-oxidase-1 sequence variation (phiST = 0.017). Divergent selection must be involved and intraspecific spatial genetic differentiation in marine broadcast spawners is apparently not constrained by low levels of isolation.

Analysis of Variance↗

Differences in structural color and population genetic structure of Western and Central Palearctic Polyommatus icarus populations.

The blue structural coloration of male Polyommatus icarus butterflies functions as a sexual signaling trait and exhibits remarkable spectral stability within populations despite being generated by highly complex photonic nanoarchitectures. The correlation of the blue sexual signaling color and population genetic variation of the butterflies was investigated across the Western and Central Palearctic regions. Dorsal wing reflectance spectra was measured for 95 male specimens and compared with the population genetic structure revealed in 99 specimens by 18 recently developed microsatellites. Reflectance measurements indicated a clear separation between the European and Central Asian populations, consistent with our previous findings, while the intermediate populations near the Ural Mountains exhibited distinct European spectral characteristics. In contrast, genetic variation showed limited structuring and correlated primarily with geographic distance, as indicated by a significant isolation-by-distance pattern. Thus, although both reflectance and genetic variations are geographically structured, spectral properties are only weakly correlated with genetic differentiation. Populations near the Ural Mountains exhibited genetic ancestry linked to Central Palearctic groups, while displaying distinct Western Palearctic coloration, suggesting that the focal species' sexual signaling is strongly influenced by local factors. These findings suggest that sexual signaling coloration may evolve at least partially independently of the neutral genetic background, offering additional insight into evolutionary divergence across broad geographic scales.

Animals↗

The genetic structure of tetraploid Avena: a comparison of isozyme and RAPD markers.

Isozymes were the first widely used molecular markers in plant population analysis. They yielded valuable information on the amount and the structure of genetic variability. DNA technology has provided new types of markers based on DNA sequence, which make it possible to study polymorphisms in a much greater proportion of the genome. This is the reason why the use of isozymes is less popular nowadays. This effect would be justified if all markers provided the same type of information on polymorphism and genetic relationships among populations; otherwise, it would be necessary to use different markers to obtain the complete picture of the genetic structure of populations and species. In this study, we compared data of isozyme and RAPD markers in the populations of two tetraploid species of wild oats: Avena barbata populations collected in Argentina, and Avena murphyi populations collected in Spain and Morocco. The samples were evaluated for 9 isozymatic systems and 10 primers. The structure of genetic variability was studied using Nei's method, and the relationships between populations were estimated using Hedrick and Jaccard's similarities for isozymes and RAPDs, respectively. As expected, RAPDs were more polymorphic than isozymes, but the information obtained from both markers was weakly correlated. The various reasons for this observation are discussed, but our conclusion is that in order to study the structure of genetic variability, several types of markers should be used.

Argentina↗

[Genetic structure and intraspecific genetic polymorphisms in natural populations of Psathyrostachys huashanica].

Psathyrostachys huashanica Keng, which is endemic to China, only distributes in Mt. Hua of Shaanxi Province. 5 enzyme systems coding 13 loci were analyzed in 13 subpopulations of P. huashanica from Mt. Hua. Allozyme analysis showed that high genetic variability and clonal diversity existed in the species. Mean proportions of polymorphic loci (95% criterion), average number of alleles per locus, and mean expected heterozygosity were 69.2%, 1.8 and 0.344, respectively. Simpson index was 0.998. A negative species mean fixation indice (-0.252) indicates that there is a considerable excess of heterozygotes compared to the expected proportions of heterozygote loci. Mean genetic distance among populations was 0.049 (range: 0-0.139), and 91% of the genetic variation resided within populations. Gene flow estimated by indirect methods was 2.77, which was much lower than the Nm value (5.24) of anemophytes. This suggested that gene flow of P. huashanica might be in a critical level, and genetic differentiation might occur in natural population of this species.

Genetic Variation↗

Spatial genetic structure within a metallicolous population of Arabidopsis halleri, a clonal, self-incompatible and heavy-metal-tolerant species.

Arabidopsis halleri, a close wild relative of A. thaliana, is a clonal, insect-pollinated herb tolerant to heavy metals (Zn, Pd, Cd) and a hyperaccumulator of Zn and Cd. It is of particular interest in the study of evolutionary processes and phytoremediation. However, little is known about its population gene flow patterns and the structure of its genetic diversity. We used five microsatellite loci to investigate the genetic structure at a fine spatial scale (10 cm to 500 m) in a metallicolous population of A. halleri. We also studied the contributions made by clonal propagation and sexual reproduction (seed and pollen dispersal) to the genetic patterns. Clonal diversity was high (D(G) > 0.9). Clonal spread occurs only at short distances (< 1 m). Both clonal spread and limited dispersal, associated with sexual reproduction, contribute to the significant spatial genetic structure revealed by spatial autocorrelation analysis. The shape of the autocorrelogram suggests that seed dispersal is restricted and pollen flow extensive, which may be related to intense activity by insect pollinators. Clonal spread was more extensive in the lowly polluted zone than in the highly polluted zone. This cannot be interpreted as a strategy for promoting the propagation of adapted genotypes under the harshest ecological constraints (highest heavy metal concentrations). The higher fine-scale spatial genetic structure found in the lowly polluted zone can be ascribed to plant densities that were lower than in the highly polluted zone. No evidence of genetic divergence due to spatial heavy metal heterogeneity was found between lowly and highly polluted zones.

Analysis of Variance↗

Variation in the genetic structure of Peromyscus populations. I. Genetic heterozygosity--its relationship to adaptive divergence.

The genetic structure of nine Peromyscus maniculatus nebrascensis demes from southeastern Wyoming was determined by analyzing allozymes encoded by 23 genetic loci with polyacrylamide gel electrophoresis. Genetic variability is extremely high for two genetic parameters; the proportion of loci polymorphic per deme averaged 0.41. Previous estimates of genetic heterozygosity for species within the genus Peromyscus have a mean of 0.06. The results of the present study suggest that genetic heterozygosity is considerably higher within P. maniculatus demes than within demes of other species in the genus. Geographic range is correlated with heterozygosity among Peromyscus species, as is adaptive divergence into broad-niched species. These correlates suggest that high heterozygosity may reflect an adaptation to a variable environment.

Adaptation, Physiological↗

[Geographic distribution of surnames and genetic structure: the county of Ardeche at the beginning of the twentieth century].

The analysis of the geographical distribution of surnames (whose transmission in the European societies is similar to that of the Y chromosome) allows to study in an exhaustive way the spatial and temporal human population structure and the influence of environmental variations on this structure. The genetic structure of the Ardèche county was analysed through a study of the surname characteristics (diversity, frequency, geographical dispersion, etc.) of individuals born between 1891 and 1915. The estimation of the intra-community average consanguinity and the inter-district genetic relationships reveals a clear differentiation between populations of the mountainous part (geographically isolated, highly inbred) and those of the Rhône valley (less isolated, weakly inbred). As predicted by the isolation by distance model, inter-population coefficients of kinship decreases as distance increases, confirming the presence of a spatial structure, characterized by neighborhood exchange and resulting from former migratory flow.

Alleles↗

Spatial genetic structure of allozyme polymorphisms within populations of Pinus Strobus (Pinaceae).

The population structure of genetic variation for four allozyme loci was investigated for two populations (one old growth, OG, and the other logged, SS) of eastern white pine (Pinus strobus). Both seedlings and reproductive adults were studied for both study populations. Spatial autocorrelation statistics were used to examine the distribution of allozyme polymorphisms. The spatial genetic structure in adults of population OG indicated that individual genotypes were distributed in a structured, isolation-by-distance manner, consistent with observed levels of pollen and seed dispersal. In contrast, adult genotypes in population SS were nearly randomly distributed, probably as a result of logging. Nonetheless, spatial structuring of genotypes of seedlings occurred at both sites, indicating the power of limited seed flow, as well as temporal Wahlund effects, to create structure. None of four loci in both seedling populations showed a significant departure from Hardy-Weinberg proportions, whereas one and two significant deviations were found for loci in the two respective adult populations. These departures may be attributed to episodic reproductive events.

Journal Article↗

Spatial autocorrelation analysis of individual multiallele and multilocus genetic structure.

Population genetic theory predicts that plant populations will exhibit internal spatial autocorrelation when propagule flow is restricted, but as an empirical reality, spatial structure is rarely consistent across loci or sites, and is generally weak. A lack of sensitivity in the statistical procedures may explain the discrepancy. Most work to date, based on allozymes, has involved pattern analysis for individual alleles, but new PCR-based genetic markers are coming into vogue, with vastly increased numbers of alleles. The field is badly in need of an explicitly multivariate approach to autocorrelation analysis, and our purpose here is to introduce a new approach that is applicable to multiallelic codominant, multilocus arrays. The procedure treats the genetic data set as a whole, strengthening the spatial signal and reducing the stochastic (allele-to-allele, and locus-to-locus) noise. We (i) develop a very general multivariate method, based on genetic distance methods, (ii) illustrate it for multiallelic codominant loci, and (iii) provide nonparametric permutational testing procedures for the full correlogram. We illustrate the new method with an example data set from the orchid Caladenia tentaculata, for which we show (iv) how the multivariate treatment compares with the single-allele treatment, (v) that intermediate frequency alleles from highly polymorphic loci perform well and rare alleles poorly, (vi) that a multilocus treatment provides clearer answers than separate single-locus treatments, and (vii) that weighting alleles differentially improves our resolution minimally. The results, though specific to Caladenia, offer encouragement for wider application.

Alleles↗

[Influence of selection forms on genetic structure of domestic animals].

Analysis of genetic structure of pure and crossbred sheep and cattle with the use of genetic-biochemical markers was carried out. Data on breed- and locus-specific genetic traits, stable in the time, were obtained. In sheep, breed-specific peculiarities of genetic structure partly related with the belonging of breeds to breed groups with fine-, semi-fine and coarse wool. The preferable influence of artificial selection at the phenotype complex traits in comparison with natural selection and animal origin on the genetic structure of crossbred sheep was revealed. However, the more profound effects of natural selection on the genetic structure of crossbred cattle were observed.

Alleles↗

Trypanosoma cruzi: genetic structure of populations and relevance of genetic variability to the pathogenesis of chagas disease.

Chagas disease, caused by the protozoan Trypanosoma cruzi, has a variable clinical course, ranging from symptomless infection to severe chronic disease with cardiovascular or gastrointestinal involvement or, occasionally, overwhelming acute episodes. The factors influencing this clinical variability have not been elucidated, but it is likely that the genetic variability of both the host and the parasite are of importance. In this work we review the the genetic structure of T. cruzi populations and analyze the importance of genetic variation of the parasite in the pathogenesis of the disease under the light of the histotropic-clonal model.

Animals↗

Differences in genetic structure between two Japanese beech (Fagus crenata Blume) stands.

To examine the effects of forest cutting on within-population genetic structure, the genetic structure and variability of two Japanese beech (Fagus crenata Blume) stands with contrasting histories in relation to cutting were investigated. Six hundred and sixty beech trees, covering two hectares in total, were mapped and genetically analysed using nine isozyme loci encoding eight enzyme systems. The proportion of polymorphic loci, the average number of alleles per locus, the effective number of alleles per locus, the expected heterozygosity and the observed heterozygosity were 78, 3.3, 1.31, 0.200 and 0.189, respectively, in a secondary stand (designated AK) cut during the 1920s. Corresponding figures were 78, 3.3, 1.33, 0.203 and 0.193, respectively, in a primary stand designated KU. The inbreeding coefficient and the grand mean of the number of alleles in common (NAC) were 0.055 and 1.684 in AK, and 0. 042 and 1.649 in KU, respectively. The genetic variability was slightly but significantly lower in AK. The genetic structure of the two stands was strikingly different. The proportions of positively significant Moran's I and SND values found in the shortest distance class were 0.86 and 0.38 for AK, and 0.14 and 0.29 for KU, respectively. Furthermore, significant linkage disequilibrium was observed in AK, but none at all in KU. To examine which, if any, differences in the genetic structure would be likely to influence succeeding generations, we simulated a self-thinning process. The simulation suggested that reduced genetic variability and linkage disequilibrium would have significant influence in the AK stand for several generations.

Alleles↗