The genetic underpinnings of population cyclicity: establishing expectations for the genetic anatomy of cycling populations

Despite extensive research into the mechanisms underlying population cyclicity, we have little understanding of the impacts of numerical fluctuations on the genetic variation of cycling populations. Thus, the potential implications of natural and anthropogenically‐driven variation in population cycle dynamics on the diversity and evolutionary potential of cyclic populations is unclear. Here, we use Canada lynx Lynx canadensis matrix population models, set up in a linear stepping‐stone, to generate demographic replicates of biologically realistic cycling populations. Overall, increasing cycle amplitude predictably reduced genetic diversity and increased genetic differentiation, with cyclic effects increased by population synchrony. Modest dispersal rates (1–3% of the population) between high and low amplitude cyclic populations did not diminish these effects suggesting that spatial variation in cyclic amplitude should be reflected in patterns of genetic diversity and differentiation at these rates. At high dispersal rates (6%) groups containing only high amplitude cyclic populations had higher diversity and lower differentiation than those mixed with low amplitude cyclic populations. Negative density‐dependent dispersal did not impact genetic diversity, but did homogenize populations by reducing differentiation and patterns of isolation by distance. Surprisingly, temporal changes in diversity and differentiation throughout a cycle were not always consistent with population size. In particular, negative density‐dependent dispersal simultaneously decreased differences in genetic diversity while increasing differences in genetic differentiation between numerical peaks and nadirs. Combined, our findings suggest demographic changes at fine temporal scales can impact genetic variation of interacting populations and provide testable predictions relating population cyclicty to genetic variation. Further, our results suggest that including realistic demographic and dispersal parameters in population genetic models and using information from temporal changes in genetic variation could help to discern complex demographic scenarios and illuminate population dynamics at fine temporal scales.     

Genetic-demographic study of the Gagauz population of Moldava

The genetic demographic structure of the Gagauz population of Moldova has been described for the first time. Data of interviews and official records have been used to analyze the sex and age structure of the population and marriage relationships, as well as to estimate the effective sizes of the populations of six settlements and selection intensity (according to Crow's formula). The demographic data indicate that social transformations have substantially affected the genetic demographic parameters of the population. The gene exchange rate per generation has been determined (m = 0.0204 in 1972 and m = 0.0309 in 1997). The estimated ratio between the components of Crow's index (I(m) < I(f)) in the Gagauz population is similar to those for the populations of developed countries with traditionally rural lifestyles. The study of marriage relationships of the Gagauz population has shown that Gagauzes are intensely mixing with Moldovans, Bulgarians, Russians, and Ukrainians.     

Distribution of ABO and Rhesus phenotypes and genes in the population of Kursk region

The distributions of AB0 and Rhesus phenotypes and the corresponding genes in the population of Kursk oblast were studied. Based on these data, genetic differentiation of rural populations with respect to the d gene frequency was revealed. The differentiation was determined by the differences in the genetic and demographic structure of these rural populations. The frequency of homozygotes for the recessive gene d and the incidence of malformations affecting the children's viability increased with an increase in the inbreeding level of a population. Genetic distances between the population of Kursk oblast and other populations were estimated.     

History vs. current demography: explaining the genetic population structure of the common frog (Rana temporaria)

The amount of genetic variability at neutral marker loci is expected to decrease, and the degree of genetic differentiation among populations to increase, as a negative function of effective population size. We assessed the patterns of genetic variability and differentiation at seven microsatellite loci in the common frog (Rana temporaria) in a hierarchical sampling scheme involving three regions (208-885 km apart), three subregions within regions and nine populations (5-20 km apart) within subregions, and related the variability and differentiation estimates to variation in local population size estimates. Genetic variability within local populations decreased significantly with increasing latitude, as well as with decreasing population size and regional site occupancy (proportion of censured localities occupied). The positive relationship between population size and genetic variability estimates was evident also when the effect of latitude (cf. colonization history) was accounted for. Significant genetic differentiation was found at all hierarchical levels, and the degree of population differentiation tended to increase with increasing latitude. Isolation by distance was evident especially at the regional sampling level, and its strength increased significantly towards the north in concordance with decreasing census and marker-based neighbourhood size estimates. These results are in line with the conjecture that the influence of current demographic factors can override the influence of historical factors on species population genetic structure. Further, the observed reductions in genetic variability and increased degree of population differentiation towards the north are in line with theoretical and empirical treatments suggesting that effective population sizes decline towards the periphery of a species' range.     

The importance of genetic variability and population differentiation in the Eurasian lynx Lynx lynx for conservation,in the context of habitat and climate change

• 1 The Eurasian lynx Lynx lynx occupies a variety of environmental and climatic conditions, and the majority of present‐day European populations have either recovered from severe demographic bottlenecks, or are living in fragmented habitat. These factors may have affected the genetic variability of lynx populations. We summarize available data on genetics, population status and ecology of these felids to shed light on the pattern and mechanisms behind their genetic variability and population differentiation in Europe.
• 2 Genetic studies conducted so far, based on mtDNA and microsatellites, have shown that the Eurasian lynx has low to moderate genetic variability. Variability is lowest in the north (Scandinavian bottlenecked population), but is also low in the Carpathian region. A trend towards loss of genetic variation has been noted in fragmented and reintroduced populations. Genetically, the populations are highly differentiated from each other.
• 3 There are clear relationships between the pattern of lynx genetic variability, differentiation between the populations, and such factors as population history (demographic bottlenecks), social interactions and habitat fragmentation. The genetic divergence between lynx populations is also strongly correlated with the depth and duration of snow cover.
• 4 Our review provides evidence that the lynx is undergoing significant genetic differentiation, due to several factors. To enable better planning of conservation programmes for the Eurasian lynx, researchers should identify the Evolutionarily Significant Units among its populations, using different classes of molecular markers.

     

The use of quantitative traits in the study of human population structure

Studies of human population structure and history have tended to use demographic and/or serological data for analysis. This paper reviews the methods and studies that incorporate quantitative traits (usually polygenic traits) in such analyses. Methods of assessing the degree and pattern of among-group variation are discussed, and are characterized as being model-free or model-bound. Model-free methods deal with the measure of overall populational differentiation and with comparative methods for describing the pattern of differentiation. Model-bound methods are used for direct incorporation into theoretical models of population structure in order to estimate genetic parameters, such as those in admixture and isolation by distance models. To date, studies have indicated that quantitative traits may often be used successfully in studies of human population structure, and show effects of microevolutionary forces on quantitative variation among populations.     

Detailed analysis of Japanese population substructure with a focus on the southwest islands of Japan

Uncovering population structure is important for properly conducting association studies and for examining the demographic history of a population. Here, we examined the Japanese population substructure using data from the Japan Multi-Institutional Collaborative Cohort (J-MICC), which covers all but the northern region of Japan. Using 222 autosomal loci from 4502 subjects, we investigated population substructure by estimating F(ST) among populations, testing population differentiation, and performing principal component analysis (PCA) and correspondence analysis (CA). All analyses revealed a low but significant differentiation between the Amami Islanders and the mainland Japanese population. Furthermore, we examined the genetic differentiation between the mainland population, Amami Islanders and Okinawa Islanders using six loci included in both the Pan-Asian SNP (PASNP) consortium data and the J-MICC data. This analysis revealed that the Amami and Okinawa Islanders were differentiated from the mainland population. In conclusion, we revealed a low but significant level of genetic differentiation between the mainland population and populations in or to the south of the Amami Islands, although genetic variation between both populations might be clinal. Therefore, the possibility of population stratification must be considered when enrolling the islander population of this area, such as in the J-MICC study.     

Effects of population structure on within-group variation in the Jirels of Nepal

The impact of population structure on phenotypic differentiation is most frequently considered in terms of between-subdivision variation. However, the demographic and social structures of a population also induce changes in within-group variation. We analyze the intragenerational dynamics of within-group variation for the Jirels, a tribal population of eastern Nepal. In the analyses we utilized age- and sex-corrected cranial measures (head length, head breadth, bizygomatic diameter, minimum frontal diameter, and head circumference) available for 526 adults (ages 15-54 years). We used a multivariate measure of variance, the standardized generalized variance, to assess levels of within-village variability, quantifying the sampling variance for this statistic by using a jackknife methodology. To generate null expectations of within-group variation, we used permutation procedures, which permit robust testing of significance without distributional assumptions. We also compared the within-birthplace variation in adults to the observed within-residence variation to examine migration effects. Contrary to expectation, some villages with high rates of in-migration have less variability than those with few migrants. When differences between the sexes at birth are controlled for, females in some villages exhibit greater variance than males, reflecting known differences in sex-specific dispersal.     

A spatial and temporal approach to microevolutionary forces affecting population biology in the freshwater snail Biomphalaria pfeifferi

The limitations of both population demography and genetics highlight the need to combine these approaches when inferring the influence of demographic processes and modes of migration on genetic structure. The aim of this study was to use spatiotemporal genetic and demographic surveys to reveal the microevolutionary forces acting on the metapopulation dynamics of the freshwater snail Biomphalaria pfeifferi. We also analyzed the consequences of population turnover on temporal genetic differentiation, an aspect that has been little explored. Genetic drift was revealed by both the demographic survey, which indicated severe bottlenecks or extinction during the rainy (resp. dry) season in open (resp. closed) habitats, and the genetic approach, which indicated high selfing rates and strong temporal differentiation. Genetic reassignments and temporal differentiation both confirmed the results of the demographic survey, which suggests that migration occurs in closed (resp. open) habitats during the hot and dry (resp. rainy) season, and indicated that source-sink functioning may be envisaged. A propagule pool mode of colonization was inferred in the open habitats during the rainy season and a migrant pool in the closed habitats during the dry season. Our study also suggests that selection might be inferred from patterns of neutral genetic markers when recombination is limited.     

Fine-scale genetic structure in Ethiopian wolves imposed by sociality,migration, and population bottlenecks

We used demographic, spatial, and microsatellite data to assess fine-scale genetic structure in Ethiopian wolves found in the Bale Mountains and evaluated the impact of historical versus recent demographic processes on genetic variation. We applied several analytical methods, assuming equilibrium and nonequilibrium conditions, to assess demography and genetic structure. Genetic variation (H _E = 0.584–0.607, allelic richness = 4.2–4.3) was higher than previously reported for this species and genetic structure was influenced by geography and social structure. Statistically significant F _ST values (0.06–0.08) implied differentiation among subpopulations. STRUCTURE analyses showed that neighbouring packs often have shared co-ancestry and spatial autocorrelation showed higher genetic similarity between individuals within packs and between individuals in neighbouring packs compared to random pairs of individuals. Recent effective population sizes were lower than 2n (where n is the number of packs) and lower than the number of breeding individuals with N _e /N ratios near 0.20. All subpopulations have experienced bottlenecks, one occurring due to a rabies outbreak in 2003. Nevertheless, differentiation among these subpopulations is consistent with long-term migration rates and fragmentation at the end of the Pleistocene. Enhanced drift due to population bottlenecks may be countered by higher migration into disease-affected subpopulations. Contemporary factors such as social structure and population bottlenecks are clearly influencing the level and distribution of genetic variation in this population, which has implications for its conservation.     

Scrounging behavior regulates population dynamics

The integration of behavioral and population ecology is necessary when behavior both feeds into demographic parameters and depends on population parameters. We show that scrounging behavior, the exploitation of others' resources, can affect both demographic parameters and population dynamics, including the stability of interactions with prey. Scrounging is a common tactic and its pay-offs exhibit both density- and frequency-dependence. We demonstrate that scrounging can act as a population regulator through its effects on individuals' reproductive rate and mortality. We also explore its effects on predator-prey population dynamics and show that the presence of scrounging predators allows an increased predator population size and contributes to the regulation of both predator and prey populations. Behavioral ecologists will appreciate that although scrounging is often pictured as imposing a social foraging cost to group membership, at the population level it also allows higher numbers of both prey and predators to coexist at equilibrium.     

Medico-genetic study of the population of Turkmenia. IV. The population geography of hemoglobinopathies

Large-scale screening for hereditary haemoglobinopathies in five districts and among main Turkmen tribes was carried out. The frequencies of ABO and HP pheno- and genotypes were determined in the same populations. The different kinds of haemoglobinopathies genes were discovered (beta +, beta 0-thalassemia, alpha beta-thalassemia, alpha-thalassemia, HPFH, haemoglobins D and E). The geographic and ethnic differentiation of Turkmen population for beta-thalassemia géne was discovered. The FST values were found to be the same for ABO, Hp and beta-thal gene systems. The role of genetic drift in differentiation of Turkmen population is discussed.     

Genetic variation and population structure of interleukin genes among seven ethnic populations from Karnataka,India

The extent of genetic variation and the degree of genetic differentiation among seven ethnic populations from Karnataka, India (Bunt, Havyak, Iyengar, Lingayath, Smartha, Vaishya, Vokkaliga), was investigated using four single nucleotide polymorphisms (SNPs: IL-1A 4845, IL-1B 3954, IL-1B 511 and IL-1RA 2018) of the interleukin gene cluster. Allele frequencies varied by threefold among these populations, which also differed for gene diversity and heterozygosity levels. The average degree of population subdivision among these castes was low (F _ST = 0.02). However, pair-wise interpopulation differentiation ranged from 0–7%, indicating no detectable differentiation to moderate differentiation between specific populations. The results of phylogenetic analysis based on genetic distances between populations agreed with known social and cultural data on these ethnic groups. Variation in the allele frequencies, as well as differentiation, may be attributed to differential selection and demographic factors including consanguinity among the ethnic groups. Information on the distribution of functionally relevant polymorphisms among ethnic populations may be important towards developing community medicine and public health policies.     

Landscape structure and the genetic effects of a population collapse

Both landscape structure and population size fluctuations influence population genetics. While independent effects of these factors on genetic patterns and processes are well studied, a key challenge is to understand their interaction, as populations are simultaneously exposed to habitat fragmentation and climatic changes that increase variability in population size. In a population network of an alpine butterfly, abundance declined 60–100% in 2003 because of low over-winter survival. Across the network, mean microsatellite genetic diversity did not change. However, patch connectivity and local severity of the collapse interacted to determine allelic richness change within populations, indicating that patch connectivity can mediate genetic response to a demographic collapse. The collapse strongly affected spatial genetic structure, leading to a breakdown of isolation-by-distance and loss of landscape genetic pattern. Our study reveals important interactions between landscape structure and temporal demographic variability on the genetic diversity and genetic differentiation of populations. Projected future changes to both landscape and climate may lead to loss of genetic variability from the studied populations, and selection acting on adaptive variation will likely occur within the context of an increasing influence of genetic drift.     

Migration of the Walser population

Migrations in prehistoric and protohistoric man are responsible for the genetic similarity observable in recent populations. As a consequence of these early migrations, small groups were founded and the resultant genetic drift and isolation were often involved in the differentiation of some populations. The Walsers of the Grisons (Switzerland) present a good example of these inter-related population-genetic phenomena: migration was the major determinant of the relatedness of the gene pool in all Walser populations. This can be proven by allele frequencies, and most convincingly by electrophoretic variants which are only shared by closely related Walser groups. This statement demonstrates clearly the congruence of the genetics and well-documented population history of the Walsers. Incidentally, blood genetic and demographic data support the hypothesis that a genetical cline exists in the valley of Safien from south to north. This is in accordance with the historical data describing the peopling of the valley by Rheinwald Walsers in the 14th to the 16th century.     

When genes go to sleep: the population genetic consequences of seed dormancy and monocarpic perenniality

In many annual plant populations, seeds may be dormant for several seasons before they germinate. Here, we investigate the consequences of both conditional (dispersed seeds cannot enter a dormant stage) and unconditional seed dormancy on the amount and the distribution of neutral genetic diversity within and among populations. We present joint demographic and population genetics models for single and subdivided populations and derive the effective size and population differentiation at both local and metapopulation scales. We suggest that a Wahlund effect is unlikely to result from age structure alone. Furthermore, the differentiation among populations is decreased by the presence of seed banks. We also extend these models to describe monocarpic (semelparous) perennial life cycle, where the nonreproductive stages are vegetative rosettes instead of dormant seeds. The main difference between the models relies in the way the density-dependent regulation is acting. The effective size of monocarpic perennial species may be less than the census number of individuals, and among-population differentiation is always larger than in annual species. We discuss our results in the light of recent population genetics surveys of annual plants with seed banks.     

The impact of interventions on a pre-industrial Austrian Alpine population

The purpose of the present study is to gain a better understanding of the role of culture in demographic behaviour. The case study uses demographic data to illustrate cultural factors intervening in the social organisation of an Austrian village in the period 1700-1900. Two sets of potential intervening variables that might explain the effects of culture on demographic behaviour were investigated: population policies through normative regulations and institutional changes due to shifts in government. The paper employs statistical techniques in a structural change setting for evaluating the impact of policies and institutional changes on the demographic development. There is clear evidence that normative interventions concerning the fraction of illegitimate births and the marriage pattern were effective.     

Genetic evidence of recent population contraction in the southernmost population of giant pandas

Anthropogenic habitat loss and fragmentation have been implicated in the endangerment and extinction of many species. Here we assess genetic variation and demographic history in the southernmost population of giant pandas (Ailuropoda melanoleuca) that continues to be threatened by habitat degradation and fragmentation, using noninvasive genetic sampling, mitochondrial control region sequence and 12 microsatellite loci. Compared to other giant panda populations, this population has medium-level genetic diversity based on the measure of both mitochondrial and nuclear markers. Mitochondrial DNA-based demographic analyses revealed that no historical population expansion or contraction has occurred, indicating a relatively stable population size. However, a Bayesian-coalescent method based on the observed allele distribution and allele frequencies of microsatellite clearly did detect, quantify and date a recent decrease in population size. Overall, the results indicate that a population contraction in the order of 95-96% has taken place over the last 910-999 years and is most likely due to anthropogenic habitat loss. These findings highlight the need for a greater focus on habitat protection and restoration for the long-term survival of this giant panda population.     

Genetic heterogeneity and population structure of Gond-related tribes in the Vidarbha region of Maharashtra.

Genetic heterogeneity in nine polymorphic loci is observed among Gond-related tribes in the Vidarbha region of Maharashtra. Pardhans, with their high ABO*A2 gene frequency (4.01%), low m gene frequency (57%), high P*1 gene frequency (42.7%), and high HbS trait (31.58%), differ significantly from other tribes. Per locus average heterozygosity among the studied tribes ranged from 36.24% to 40.37%, with Pardhans being more heterozygous. Analysis by FST and the empirical relationship between average allele frequencies and the ratio of within-gene to total gene diversity show that the tribes are isolated and that differentiation among them is at an early stage and approximately in conformity with expected differentiation under genetic drift. However, distances and principal components analysis reveal that Pardhans are far removed from the other tribes and from other central Dravidian tribes. Furthermore, of the various demographic parameters estimated, the high average heterozygosity in Pardhans is significantly correlated with mean marital distance (MMD), regression of MMD on wife's age, and effective population size. There is congruence between genetic and demographic data, showing that Pardhans are distinct. This conforms with Haimendorf's (1979) contention based on cultural traits that Pardhans are Gonds by historical accident and are later migrants to the Gond area from the north. The most significant and practical observation of the present study is that migration from an originally nontribal (Pardhan) to a tribal (Gond) area and admixture lead to severe disease course, differential selection pressure, and hence highly elevated HbS trait frequency.     

Evidence for recent population expansion in the evolutionary history of the malaria vectors Anopheles arabiensis and Anopheles gambiae.

Gene flow in malaria vectors is usually estimated based on differentiation indices (e.g., F(ST)) in order to predict the contemporary spread of genes such as those conferring resistance to insecticides. This approach is reliant on a number of assumptions, the most crucial, and the one most likely to be violated in these species, being mutation-migration-drift equilibrium. Tests of this assumption for the African malaria vectors Anopheles gambiae and Anopheles arabiensis are the focus of this study. We analyzed variation at 18 microsatellite loci and the ND5 region of the mitochondrial genome in two populations of each species. Equilibrium was rejected by six of eight tests for the A. gambiae population from western Kenya and by three tests in eastern Kenya. In western Kenya, all departures from equilibrium were consistent with a recent population expansion, but in eastern Kenya, there were traces of a recent expansion and a bottleneck. Equilibrium was also rejected by two of the eight tests for both A. arabiensis populations; the departure from equilibrium was consistent with an expansion. These multiple-locus tests detected a genomewide effect and therefore a demographic event rather than a locus-specific effect, as would be caused by selection. Disequilibrium due to a recent expansion in these species implies that rates of gene flow, as inferred from differentiation indices, are overestimates as they include a historical component. We argue that the same effect applies to the majority of pest species due to the correlation of their demography with that of humans.