Adaptation from standing genetic variation is an important process underlying evolution in natural populations, but we rarely get the opportunity to observe the dynamics of fitness and genomic changes in real time. Here, we used experimental evolution and Pool-Seq to track the phenotypic and genomic changes of genetically diverse asexual populations of the yeast Saccharomyces cerevisiae in four environments with different fitness costs. We found that populations rapidly and in parallel increased in fitness in stressful environments. In contrast, allele frequencies showed a range of trajectories, with some populations fixing all their ancestral variation in <30 generations and others maintaining diversity across hundreds of generations. We detected parallelism at the genomic level (involving genes, pathways, and aneuploidies) within and between environments, with idiosyncratic changes recurring in the environments with higher stress. In particular, we observed a tendency of becoming haploid-like in one environment, whereas the populations of another environment showed low overall parallelism driven by standing genetic variation despite high selective pressure. This work highlights the interplay between standing genetic variation and the influx of de novo mutations in populations adapting to a range of selective pressures with different underlying trait architectures, advancing our understanding of the constraints and drivers of adaptation. 

Genetic diversity is the basis for population adaptation and long-term survival, yet rarely considered in biodiversity monitoring. One key issue is the need for useful and straightforward indicators of genetic diversity. We monitored genetic diversity over 40 years (1970–2010) in metapopulations of brown trout (Salmo trutta) inhabiting 27 small mountain lakes representing 10 lake systems in central Sweden using >1200 fish per time point. We tested six newly proposed indicators; three were designed for broad, international use in the UN Convention on Biological Diversity (CBD) and are currently applied in several countries. The other three were recently elaborated for national use by a Swedish science-management effort and applied for the first time here. The Swedish indicators use molecular genetic data to monitor genetic diversity within and between populations (indicators ΔH and ΔF_ST, respectively) and assess the effective population size (N_e-indicator). We identified 29 genetically distinct populations, all retained over time. Twelve of the 27 lakes harboured more than one population indicating that brown trout biodiversity hidden as cryptic, sympatric populations are more common than recognized. The N_e indicator showed values below the threshold (N_e ≤ 500) in 20 populations with five showing N_e < 100. Statistically significant genetic diversity reductions occurred in several populations. Metapopulation structure appears to buffer against diversity loss; applying the indicators to metapopulations suggest mostly acceptable rates of change in all but one system. The CBD indicators agreed with the Swedish ones but provided less detail. All these indicators are appropriate for managers to initiate monitoring of genetic biodiversity. 

 Determining spatio-temporal distributions of fish populations is of interest to marine ecology, in general, and to fisheries science in particular. Genetic mixed-stock analysis is routinely applied in several anadromous fishes for determining migratory routes and timing but has rarely been used for marine fishes, for which population differentiation is commonly weak and the method presumably less powerful. We used microsatellite information for Northeast Atlantic herring Clupea harengus L. populations and mixed stocks to address 2 questions. We used simulated mixture samples and 3 different statistical approaches to determine whether mixed stock composition could be determined with accuracy. Simulations showed that the applied approaches and mixture samples of 100 individuals enabled detailed composition analyses on a regional level, with resolution for tracing the ecologically dominant Rügen (Greifswalder Bodden) herring population. We then estimated spatio-temporal variation in herring migratory behaviour in the Skagerrak from 17 mixed samples collected over 2 seasons and 2 yr, and identified hitherto undescribed differences in distributions among populations that feed and winter in the area.

Saccharomyces hybrid yeasts are receiving increasing attention as a powerful model system to understand adaptation to environmental stress and speciation mechanisms, using experimental evolution and omics techniques. We compiled all genomic resources available from public repositories of the eight recognized Saccharomyces species and their interspecific hybrids. We present the newest numbers on genomes sequenced, assemblies, annotations, and sequencing runs, and an updated species phylogeny using orthogroup inference. While genomic resources are highly skewed towards Saccharomyces cerevisiae, there is a noticeable movement to use wild, recently discovered yeast species in recent years. To illustrate the degree and potential causes of reproductive isolation, we reanalyzed published data on hybrid spore viabilities across the entire genus and tested for the role of genetic, geographic, and ecological divergence within and between species (28 cross types and 371 independent crosses). Hybrid viability generally decreased with parental genetic distance likely due to antirecombination and negative epistasis, but notable exceptions emphasize the importance of strain-specific structural variation and ploidy differences. Surprisingly, the viability of crosses within species varied widely, from near reproductive isolation to near-perfect viability. Geographic and ecological origins of the parents predicted cross viability to an extent, but with certain caveats. Finally, we highlight publication trends in the field and point out areas of special interest, where hybrid yeasts are particularly promising for innovation through research and development, and experimental evolution and fermentation.

The genomes of hybrids often show substantial deviations from the features of the parent genomes, including genomic instabilities characterized by chromosomal rearrangements, gains, and losses. This plastic genomic architecture generates phenotypic diversity, potentially giving hybrids access to new ecological niches. It is however unclear if there are any generalizable patterns and predictability in the type and prevalence of genomic variation and instability across hybrids with different genetic and ecological backgrounds. Here, we analyzed the genomic architecture of 204 interspecific Saccharomyces yeast hybrids isolated from natural, industrial fermentation, clinical, and laboratory environments. Synchronous mapping to all eight putative parental species showed significant variation in read depth indicating frequent aneuploidy, affecting 44% of all hybrid genomes and particularly smaller chromosomes. Early generation hybrids with largely equal genomic content from both parent species were more likely to contain aneuploidies than introgressed genomes with an older hybridization history, which presumably stabilized the genome. Shared k-mer analysis showed that the degree of genomic diversity and variability varied among hybrids with different parent species. Interestingly, more genetically distant crosses produced more similar hybrid genomes, which may be a result of stronger negative epistasis at larger genomic divergence, putting constraints on hybridization outcomes. Mitochondrial genomes were typically inherited from the species also contributing the majority nuclear genome, but there were clear exceptions to this rule. Together, we find reliable genomic predictors of instability in hybrids, but also report interesting cross- and environment-specific idiosyncrasies. Our results are an important step in understanding the factors shaping divergent hybrid genomes and their role in adaptive evolution.

Transcriptome studies of insect herbivory are still rare, yet studies in model systems have uncovered patterns of transcript regulation that appear to provide insights into how insect herbivores attain polyphagy, such as a general increase in expression breadth and regulation of ribosomal, digestion- and detoxification-related genes. We investigated the potential generality of these emerging patterns, in the Swedish comma, Polygonia c-album, which is a polyphagous, widely-distributed butterfly. Urtica dioica and Ribes uva-crispa are hosts of P. c-album, but Ribes represents a recent evolutionary shift onto a very divergent host. Utilizing the assembled transcriptome for read mapping, we assessed gene expression finding that caterpillar life-history (i.e. 2nd vs. 4th-instar regulation) had a limited influence on gene expression plasticity. In contrast, differential expression in response to host-plant identified genes encoding serine-type endopeptidases, membrane-associated proteins and transporters. Differential regulation of genes involved in nucleic acid binding was also observed suggesting that polyphagy involves large scale transcriptional changes. Additionally, transcripts coding for structural constituents of the cuticle were differentially expressed in caterpillars in response to their diet indicating that the insect cuticle may be a target for plant defence. Our results state that emerging patterns of transcript regulation from model species appear relevant in species when placed in an evolutionary context.

Census (N_C) and effective population size (N_e) were estimated for a lake-resident population of brown trout Salmo trutta as 576 and 63, respectively. The point estimate of the ratio of effective to census population size (N_e:N_C) for this population is 0·11 with a range of 0·06–0·26, suggesting that N_e:N_C ratio for lake-resident populations agree more with estimates for fishes with anadromous life histories than the small ratios observed in many marine fishes

Background: Although most insect species are specialized on one or few groups of plants, there are phytophagous insects that seem to use virtually any kind of plant as food. Understanding the nature of this ability to feed on a wide repertoire of plants is crucial for the control of pest species and for the elucidation of the macroevolutionary mechanisms of speciation and diversification of insect herbivores. Here we studied Vanessa cardui, the species with the widest diet breadth among butterflies and a potential insect pest, by comparing tissue-specific transcriptomes from caterpillars that were reared on different host plants. We tested whether the similarities of gene-expression response reflect the evolutionary history of adaptation to these plants in the Vanessa and related genera, against the null hypothesis of transcriptional profiles reflecting plant phylogenetic relatedness. Result: Using both unsupervised and supervised methods of data analysis, we found that the tissue-specific patterns of caterpillar gene expression are better explained by the evolutionary history of adaptation of the insects to the plants than by plant phylogeny. Conclusion: Our findings suggest that V. cardui may use two sets of expressed genes to achieve polyphagy, one associated with the ancestral capability to consume Rosids and Asterids, and another allowing the caterpillar to incorporate a wide range of novel host-plants.

In recent years, our knowledge of the microbiomes associated with insects has increased rapidly thanks to new sequencing methods, but the taxonomic and biological diversity of the studied insect species is still limited. Insects inhabiting galls represent a particularly interesting ecological guild that has not yet had its microbiome fully characterized, although it is well known that many gall insects are infected by Wolbachia. Here, we use shotgun sequencing to characterize the microbiome of the larvae of four hymenopteran species inhabiting bedeguar galls on roses: the gall inducer (Diplolepis rosae, Cynipidae), a phytophagous inquiline (Periclistus brandtii, Cynipidae), and two parasitoids (Torymus bedeguaris, Torymidae, and Orthopelma mediator, Ichneumonidae). Analyses with Metaphlan2 detected the presence of Wolbachia in two of the larvae (one of three Diplolepis larvae, and one of two Torymus larvae); three other bacteria detected by Metaphlan2 in high abundance could be shown to be false positives. An annotation screen of the assembled genomes gave similar results. Almost all contigs that were likely to be of bacterial origin matched Wolbachia; the few remaining ones were likely false positives. Matching the assemblies to proteomes of candidate symbionts showed that the two infected larvae contained a substantial portion of the Wolbachia genome while the other Diplolepis and Torymus larvae only contained small sections of it. Our results suggest that the bedeguar gall is largely devoid of bacteria except for Wolbachia. This could potentially be related to previous reports that galls induced by cynipids produce antibiotics. Our results fail to support the much-discussed hypothesis that symbiotic bacteria are involved in gall induction in cynipids.

Most studies in the field of ecology and evolution aiming to connect genotype to phenotype rarely validate identified loci using functional tools. Recent developments in RNA interference (RNAi) and clustered regularly interspaced palindromic repeats (CRISPR)-Cas genome editing have dramatically increased the feasibility of functional validation. However, these methods come with specific challenges when applied to emerging model organisms, including limited spatial control of gene silencing, low knock-in efficiencies, and low throughput of functional validation. Moreover, many functional studies to date do not recapitulate ecologically relevant variation, and this limits their scope for deeper insights into evolutionary processes. We therefore argue that increased use of gene editing by allelic replacement through homology-directed repair (HDR) would greatly benefit the field of ecology and evolution. 

Chromosome evolution presents an enigma in the mega-diverse Lepidoptera. Most species exhibit constrained chromosome evolution with nearly identical haploid chromosome counts and chromosome-level gene collinearity among species more than 140 million years divergent. However, a few species possess radically inflated chromosomal counts due to extensive fission and fusion events. To address this enigma of constraint in the face of an exceptional ability to change, we investigated an unprecedented reorganization of the standard lepidopteran chromosome structure in the green-veined white butterfly (Pieris napi). We find that gene content in P. napi has been extensively rearranged in large collinear blocks, which until now have been masked by a haploid chromosome number close to the lepidopteran average. We observe that ancient chromosome ends have been maintained and collinear blocks are enriched for functionally related genes suggesting both a mechanism and a possible role for selection in determining the boundaries of these genome-wide rearrangements.

Global conservation policy and action have largely neglected protecting and monitoring genetic diversity-one of the three main pillars of biodiversity. Genetic diversity (diversity within species) underlies species' adaptation and survival, ecosystem resilience, and societal innovation. The low priority given to genetic diversity has largely been due to knowledge gaps in key areas, including the importance of genetic diversity and the trends in genetic diversity change; the perceived high expense and low availability and the scattered nature of genetic data; and complicated concepts and information that are inaccessible to policymakers. However, numerous recent advances in knowledge, technology, databases, practice, and capacity have now set the stage for better integration of genetic diversity in policy instruments and conservation efforts. We review these developments and explore how they can support improved consideration of genetic diversity in global conservation policy commitments and enable countries to monitor, report on, and take action to maintain or restore genetic diversity.

Recent scientific evidence shows that genetic diversity must be maintained, managed, and monitored to protect biodiversity and nature's contributions to people. Three genetic diversity indicators, two of which do not require DNA-based assessment, have been proposed for reporting to the Convention on Biological Diversity and other conservation and policy initiatives. These indicators allow an approximation of the status and trends of genetic diversity to inform policy, using existing demographic and geographic information. Application of these indicators has been initiated and here we describe ongoing efforts in calculating these indicators with examples. We specifically describe a project underway to apply these indicators in nine countries, provide example calculations, address concerns of policy makers and implementation challenges, and describe a roadmap for further development and deployment, incorporating feedback from the broader community. We also present guidance documents and data collection tools for calculating indicators. We demonstrate that Parties can successfully and cost-effectively report these genetic diversity indicators with existing biodiversity observation data, and, in doing so, better conserve the Earth's biodiversity. 

The variance effective population size (N-eV) is frequently used to quantify the expected rate at which a population's allele frequencies change over time. The purpose of this paper is to find expressions for the global N-eV of a spatially structured population that are of interest for conservation of species. Since N-eV depends on allele frequency change, we start by dividing the cause of allele frequency change into genetic drift within subpopulations (I) and a second component mainly due to migration between subpopulations (II). We investigate in detail how these two components depend on the way in which subpopulations are weighted as well as their dependence on parameters of the model such a migration rates, and local effective and census sizes. It is shown that under certain conditions the impact of II is eliminated, and N-eV of the metapopulation is maximized, when subpopulations are weighted proportionally to their long term reproductive contributions. This maximal N-eV is the sought for global effective size, since it approximates the gene diversity effective size N-eGD, a quantifier of the rate of loss of genetic diversity that is relevant for conservation of species and populations. We also propose two novel versions of N-eV, one of which (the backward version of N-eV) is most stable, exists for most populations, and is closer to N-eGD than the classical notion of N-eV. Expressions for the optimal length of the time interval for measuring genetic change are developed, that make it possible to estimate any version of N-eV with maximal accuracy.

Rapid advances in molecular genetic techniques and the statistical analysis of genetic data have revolutionized the way that populations of animals, plants and microorganisms can be monitored. Genetic monitoring is the practice of using molecular genetic markers to track changes in the abundance, diversity or distribution of populations, species or ecosystems over time, and to follow adaptive and non-adaptive genetic responses to changing external conditions. In recent years, genetic monitoring has become a valuable tool in conservation management of biological diversity and ecological analysis, helping to illuminate and define cryptic and poorly understood species and populations. Many of the detected biodiversity declines, changes in distribution and hybridization events have helped to drive changes in policy and management. Because a time series of samples is necessary to detect trends of change in genetic diversity and species composition, archiving is a critical component of genetic monitoring. Here we discuss the collection, development, maintenance, and use of archives for genetic monitoring. This includes an overview of the genetic markers that facilitate effective monitoring, describes how tissue and DNA can be stored, and provides guidelines for proper practice.

The wild wolf population (Canis lupus) in Sweden is classified as Endangered and descends from only five individuals. The population is isolated and highly inbred; individuals are on average more related to each other than siblings. Inbreeding depression expressed as reduced litter size and a high frequency of spinal disorders have been reported. Management goals include reducing levels of inbreeding, and one suggestion to achieve this is through crossfostering release of pups from a zoo conservation breeding program into wild dens. We used pedigree data of the wild and zoo populations, respectively, to evaluate to what extent the zoo population can support the wild one with respect to increased genetic variation and reduction of inbreeding. The results show a potential to almost double genetic variation measured as founder alleles from 11.2 to 21.1, despite the fact that the two populations have three common founders. Potentially, the number of founder genome equivalents can be increased from present 1.8 to around 3.2. However, to achieve maximum genetic support, almost 50 percent of the wild population gene pool must consist of genes from the zoo population. Average kinship in the joint population of zoo and wild wolves is 0.15, thus release of zoo wolves cannot in itself be expected to reduce average inbreeding below the management target of 0.1. We conclude that releases from the zoo can support but not resolve the genetically precarious situation of the wild Swedish wolf population.

Increasing conservation genetic focus is directed towards domestic animal populations because: 1) domestic animals are of direct socio-economic importance to humans, and 2) strong selective breeding for a single or a few traits are considered to rapidly deplete the genetic variability of many domestic animal populations. International policy work within the Convention on Biological Diversity identifies strategies for minimizing genetic erosion of domesticated animals as one of the key biodiversity targets for 2010-2020. We investigated recent rate of inbreeding and loss of genetic variation in 12 traditional Swedish dog breeds, 10 of which have been identified as of conservation concern by the Swedish Board of Agriculture. We used studbook data provided by the Swedish Kennel Club with pedigrees dating back to the mid 20th century and comprising 5-10 generations with 350-60,000 individuals per pedigree. We assessed levels of inbreeding and loss of genetic variation measured in relation to the number of founding animals (founder alleles) among live animals at five points in time (1980, 1990, 2000, 2006, and 2012). We found average inbreeding coefficients among breeds to double over our period of monitoring, from an average of 0.03 over breeds in 1980 to 0.07 in 2012. This is in spite of the majority of breeds being large with pedigrees comprising thousands of individuals. The loss of genetic variation is extensive with an average of 70 percent loss of founder alleles over the study period, and the proportion of founder genome equivalents in relation to the number of founders is on average only 0.09. This is comparable to previously published rates of genetic variability loss in dog breeds, indicating that the explicit conservation goals for these traditional Swedish breeds is not yet reflected in conservation genetic status. One of the breeds is particularly threatened - the Gotland hound with less than 150 living individuals, but this breed also shows comparably larger retention of genetic variation.

One problem in modern dogs is a high occurrence of physical diseases,defects and disorders. Many breeds exhibit physical problems that affectindividual dogs throughout life. A potential cause of these problems isinbreeding that is known to reduce the viability of individuals. We investigatedthe possible correlation between recent inbreeding and health problemsin dogs and used studbook data from 26 breeds provided by theSwedish Kennel Club for this purpose. The pedigrees date back to themid-20th century and comprise 5–10 generations and 1 000–50 000 individualsper pedigree over our study period of 1980–2010. We comparedlevels of inbreeding and loss of genetic variation measured in relation tothe number of founding animals during this period in the investigated dogbreeds that we classified as ‘healthy’ (11 breeds) or ‘unhealthy’ (15) basedon statistics on the extent of veterinary care obtained from Sweden’sfour largest insurance companies for pets. We found extensive loss ofgenetic variation and moderate levels of recent inbreeding in all breedsexamined, but no strong indication of a difference in these parametersbetween healthy versus unhealthy breeds over this period. Thus, recentbreeding history with respect to rate of inbreeding does not appear to be amain cause of poor health in the investigated dog breeds in Sweden. Weidentified both strengths and weaknesses of the dog pedigree data importantto consider in future work of monitoring and conserving geneticdiversity of dog breeds.

There is a growing need for conservation genetic management of animal populations when individual relatedness data (pedigrees) are available. Such data can be used to monitor rates of inbreeding and loss of genetic diversity. Traditionally, pedigree analysis for conservationmanagement has focused on zoo populations of threatened wild animals; available software has been developed in that context. Population Management x (PMx) is a free software for estimating genetic parameters including inbreeding, kinship, founder allele contribution and survival. PMx is an accessory program to the zoo studbook platform Single Population Analysis and Records Keeping System (SPARKS) and is not easily applied outside this platform, but such use is of interest for various domestic breeds or wild populations. We developed a converter program (mPed) for making pedigrees of any studbook format fitting the input requirements of PMx. mPed can be downloaded free at www.popgen.su.se/mped.php

Insects rely on their innate immune system to successfully mediate complex interactions with their internal microbiota, as well as the microbes present in the environment. Given the variation in microbes across habitats, the challenges to respond to them is likely to result in local adaptation in the immune system. Here we focus upon phagocytosis, a mechanism by which pathogens and foreign particles are engulfed in order to be contained, killed and processed for antigen presentation. We investigated the phenotypic and genetic variation related to phagocytosis, in two allopatric populations of the butterfly Pieris napi. We found that the populations differ in their hemocyte composition, and overall phagocytic capability, driven by the increased phagocytic propensity of each cell type. However, no evidence for divergence in phagocytosis-related genes was observed, though an enrichment of genes involved in glutamine metabolism was found, which have recently been linked to immune cell differentiation in mammals.

The broad diversity of insect life has been shaped, in part, by pathogen pressure, yet the influence of injury and infection during critical periods of development is understudied. During development, insects undergo metamorphosis, wherein the organism experiences a dramatic shift in their overall morphology, and physiology. In temperate zones, metamorphosis is often directly followed by a developmental arrest called diapause, for which the insect needs to acquire enough energy reserves before the onset of winter. We investigated the long-term effects of injury and infection using two bacteria in the butterfly Pieris napi, revealing that the negative consequences of bacterial infection carry across the metamorphic boundary. Initial direct effects of infection were weight loss and slower development, as well as an increased mortality at higher infection levels. The detrimental effects were stronger in the gram-positive Micrococcus luteus compared to gram-negative Escherichia coli. Transcriptome-wide differences between the two bacteria were already observed in the gene expression profile of the first 24 hours after infection. Larvae infected with M. luteus showed a strong suppression of all non-immunity related processes, with several types of immune responses being activated. The impact of these transcriptomic changes, a tradeoff between homeostasis and immune response, were visible in the life history data, wherein individuals infected with M. luteus had the highest mortality rate, along with the lowest pupal weight, developmental rate and adult weight of all the treatments. Overall, we find that the cost of infection and wounding in the final larval instar carries over the metamorphic boundary, and is expected to negatively affect their lifetime fitness.

The Coalition for Conservation Genetics (CCG) brings together four eminent organizations with the shared goal of improving the integration of genetic information into conservation policy and practice. We provide a historical context of conservation genetics as a field and reflect on current barriers to conserving genetic diversity, highlighting the need for collaboration across traditional divides, international partnerships, and coordinated advocacy. We then introduce the CCG and illustrate through examples how a coalition approach can leverage complementary expertise and improve the organizational impact at multiple levels. The CCG has proven particularly successful at implementing large synthesis-type projects, training early-career scientists, and advising policy makers. Achievements to date highlight the potential for the CCG to make effective contributions to practical conservation policy and management that no one “parent” organization could achieve on its own. Finally, we reflect on the lessons learned through forming the CCG, and our vision for the future.

Population translocations occur for a variety of reasons, from displacement due to climate change, to human-induced transfers. Such actions have adverse effects on genetic variation and understanding their microevolutionary consequences requires monitoring. Here, we return to an experimental release of brown trout (Salmo trutta) in order to monitor genomic effects of population translocations. In 1979, fish from each of two genetically and ecologically separate populations were released at one point in time to the same lake system. Whole-genome sequencing data is used to characterize diversity within and divergence between introduced fish from different source populations and fish inhabiting two lakes down-stream of the release sites, sampled 30 years later (c. 5 generations). Diversity and divergence among introduced populations and fish sampled in the wild c. 5 generations later suggest extensive hybridization. Introduced fish are unequally represented in the lakes down-stream of the release sites, with fish from one population mainly contributing to the lake closest to the release site, and the fish from the other dominating the lake further downstream. We also identify genomic regions putatively under directional selection in the new lake system, where genes from one of the introduced populations, regulating metabolism, appear advantageous. Our results demonstrate that genetic effects of population translocations e.g., establishment, hybridization, and adaptation can be rapid after release into novel environments – even for a species with relatively small local effective population sizes and a large, complex genome. This is an important contribution to understanding the microevolutionary effects population translocations have on intraspecific diversity.  

Population translocations occur for a variety of reasons, from displacement due to climate change to human-induced transfers. Such actions have adverse effects on genetic variation and understanding their microevolutionary consequences requires monitoring. Here, we return to an experimental release of brown trout (Salmo trutta) in order to monitor the genomic effects of population translocations. In 1979, fish from each of two genetically (F_ST = 0.16) and ecologically separate populations were simultaneously released, at one point in time, to a lake system previously void of brown trout. Here, whole-genome sequencing of pooled DNA (Pool-seq) is used to characterize diversity within and divergence between the introduced populations and fish inhabiting two lakes downstream of the release sites, sampled 30 years later (c. 5 generations). Present results suggest that while extensive hybridization has occurred, the two introduced populations are unequally represented in the lakes downstream of the release sites. One population, which is ecologically resident in its original habitat, mainly contributes to the lake closest to the release site. The other population, migratory in its natal habitat, is genetically more represented in the lake further downstream. Genomic regions putatively under directional selection in the new habitat are identified, where allele frequencies in both established populations are more similar to the introduced population stemming from a resident population than the migratory one. Results suggest that the microevolutionary consequences of population translocations, for example, hybridization and adaptation, can be rapid and that Pool-seq can be used as an initial tool to monitor genome-wide effects.

Population extinction is ubiquitous in all taxa. Such extirpations can reduce intraspecific diversity, but the extent to which genetic diversity of surviving populations are affected remains largely unclear. A key concept in this context is the effective population size (N_e), which quantifies the rate at which genetic diversity within populations is lost. N_e was developed for single, isolated populations while many natural populations are instead connected to other populations via gene flow. Recent analytical approaches and software permit modelling of N_e of interconnected populations (metapopulations). Here, we apply such tools to investigate how extinction of subpopulations affects N_e of the metapopulation (N_eMeta) and of separate surviving subpopulations (N_eRx) under different rates and patterns of genetic exchange between subpopulations. We assess extinction effects before and at migration-drift equilibrium. We find that the effect of extinction on N_eMeta increases with reduced connectivity, suggesting that stepping stone models of migration are more impacted than island-migration models when the same number of subpopulations are lost. Furthermore, in stepping stone models, after extinction and before a new equilibrium has been reached, N_eRx can vary drastically among surviving subpopulations and depends on their initial spatial position relative to extinct ones. Our results demonstrate that extinctions can have far more complex effects on the retention of intraspecific diversity than typically recognized. Metapopulation dynamics need heightened consideration in sustainable management and conservation, e.g., in monitoring genetic diversity, and are relevant to a wide range of species in the ongoing extinction crisis. 

Most species comprise a number of more or less reproductively isolated subpopulations. These subpopulations may exhibit striking differences in morphology and ecology, and on the basis of those differences they are often given the rank of subspecies, race, stock, variety, etc. Morphological and ecological traits most often are quantitatively inherited, and to a large extent, are affected by environmental factors. Phenotypic differences, therefore, may give little or no information on genotypic differences. As a consequence, the amount of genetic divergence between populations in many cases is poorly known.

The need for such information from an evolutionary and management perspective provided the impetus for this study, which describes the genetical and morphological variability patterns revealed by protein polymorphism and morphological characters. Four species were chosen from three diverse taxonomic groups: Atlantic herring (Clupea harengus), Norway spruce (Picea abies), and Palaemon prawn (P. adspersus and P. squilla). Associations between variability patterns for the two sets of characters were also analyzed to provide information on the causes of morphological variability in natural populations.

In Atlantic herring, the amount of genetic differentiation observed was conspicuously small: more than 99% of the total gene diversity was found within populations. This contrasts with previous conclusions that were based on morphological data. The present study indicates that environmental factors have an important influence on the morphological differentiation pattern; they suggest, also, that herring stocks either diverged rather recently or that the amount of gene flow is large enough to prevent genetic differentiation.

The patterns for distribution of genetical and morphological variability in Norway spruce, on the other hand, are very similar, indicating that the same evolutionary forces have acted on both sets of characters. A clear geographic component of variation was also observed. Data suggest that historical events during the last glaciation have affected not only the pattern of distribution of allozymic variation in the Norway spruce but probably also the pattern of its morphological traits.

The analysis of data collected from progeny of wind-pollinated Norway spruce grown under experimental conditions suggests that inbreeding and inbreeding depression are common phenomena in trials of this species. A significant positive relationship found between allozyme heterozygosity and growth performance (apparent allozyme heterosis) in one population appears to be due to dominance rather than overdominance.

Members of nontidal populations of the prawn Palaemon squilla are known to be much smaller than their tidal relatives, and to produce fewer offspring. Using estimates of genetic divergence based on allozyme data, we tested the hypothesis that these deficiencies are an effect of continuous gene flow resulting in poor adaptation. Genetic data did not support this hypothesis: P. squilla ought to have the possibility to adapt to local conditions.

The results from the present study modify some previous conceptions about genetical and morphological variability patterns in all species that were investigated.

In combination these findings demonstrate the importance of true genetic data for clarifying genetic population structure, understanding the forces that underlie current population structure, and for interpreting ecological and morphological variability patterns among natural populations.

In May, the Swedish Parliament announced a goal to reduce the Swedish wolf population from about 400 to about 200 individuals (1). This action further threatens this highly endangered population, which is genetically isolated and inbred. Scientific advice for improvements has not been implemented (2, 3).

The Swedish Parliament proposed this drastic cull at a time when biodiversity is a global focus. The 50-year anniversary of the first UN conference on the environment was celebrated in June, and the UN Convention on Biological Diversity (CBD) will soon finalize its global biodiversity framework for 2020 to 2050. Sweden’s actions are inconsistent with the country’s obligations under the CBD and European Union law.

Few wild populations are as well studied as the Scandinavian wolf. Genetic monitoring has provided a full pedigree since the population was reestablished in the 1980s after extinction, and the data confirm persisting genetic isolation (4–6). Hunting, conducted both legally and illegally, has prevented population expansion and the influx of genetic variation.

Three founders comprised the population’s genetic origin until 2007, and only three more wolves have subsequently contributed genetically to the present population (6). The genetic base is thus extremely narrow, and genomic erosion has been confirmed (7, 8). The average level of inbreeding is similar to the level found in the offspring of two full siblings (6). Inbreeding in this population has been shown to reduce litter size (4). Also, high frequencies of anatomical defects (9) and male reproductive disorders (10) have been observed.

To make this population viable, population size and immigration must increase. So far, the population has been too small, and limited immigration followed by inbreeding could lead to extinction, similar to the Isle Royale wolf population (11). The goal should be to recreate a well-connected metapopulation spanning Scandinavia and Finland with a genetically effective population size of over 500, in line with the proposed CBD indicator (12). Considerably more genetic exchange than the current one-migrant-per-generation aim is needed (3).

The wolf (Canis lupus) is classified as endangered in Sweden by the Swedish Species Information Centre, which is the official authority for threat classification. The present population, which was founded in the early 1980s, descends from 5 individuals. It is isolated and highly inbred, and on average individuals are more related than siblings. Hunts have been used by Swedish authorities during 2010 and 2011 to reduce the population size to its upper tolerable level of 210 wolves. European Union (EU) biodiversity legislation requires all member states to promote a concept called “favourable conservation status” (FCS) for a series of species including the wolf. Swedish national policy stipulates maintenance of viable populations with sufficient levels of genetic variation of all naturally occurring species. Hunting to reduce wolf numbers in Sweden is currently not in line with national and EU policy agreements and will make genetically based FCS criteria less achievable for this species. We suggest that to reach FCS for the wolf in Sweden the following criteria need to be met: (1) a well-connected, large, subdivided wolf population over Scandinavia, Finland, and the Russian Karelia-Kola region should be reestablished, (2) genetically effective size (N_e) of this population is in the minimum range of N_e = 500–1000, (3) Sweden harbors a part of this total population that substantially contributes to the total N_e and that is large enough to not be classified as threatened genetically or according to IUCN criteria, and (4) average inbreeding levels in the Swedish population are <0.1.

The genetic relationships among 337 northern pike (Esox lucius) collected from the coastal zone of the central Baltic region and the Finnish islands of Åland were analysed using five microsatellite loci. Spatial structure was delineated using both traditional F-statistics and individually based approaches including spatial autocorrelation analysis. Our results indicate that the observed genotypic distribution is incompatible with that of a single, panmictic population. Isolation by distance appears important for shaping the genetic structure of pike in this region resulting in a largely continuous genetic change over the study area. Spatial autocorrelation analysis (Moran’s I) of individual pairwise genotypic data show significant positive genetic correlation among pike collected within geographical distances of less than c. 100–150 km (genetic patch size). We suggest that the genetic patch size may be used as a preliminary basis for identifying management units for pike in the Baltic Sea.

Introduction of alien species is a major threat to biological diversity. Although public attention typically focuses on the species level, guidelines from the Convention of Biological Diversity define alien species to include entities below species level. This inclusion recognizes that release of nonlocal populations of native species may also result in negative effects on biodiversity. In practice, little is known about the extent, degree of establishment, or the effects on natural gene pools of such releases. Existing information on the releases in Sweden shows that alien populations are spread to a great extent. The most commonly released species include brown trout, Atlantic salmon, Arctic char, common whitefish, Scots pine, Norway spruce, mallard duck, gray partridge, and pheasant. Although millions of forest trees, fish, and birds are released annually, poor documentation makes the geographic and genetic origin of these populations, as well as the sites where they have been released, largely unclear. We provide recommendations for urgently needed first steps relating to the risks and problems associated with release of alien populations.

Information on the temporal stability of genetic structures is important to permit detection of changes that can constitute threats to biological resources. Large scale harvesting operations are known to potentially alter the composition and reduce the variability of populations, and Atlantic herring (Clupea harengus) has a long history of heavy exploitation. In the Baltic Sea and Skagerrak waters the census population sizes have declined by 35-50% over the last three decades. We compared the genetic structure of Atlantic herring in these waters sampled at least two different times between 1979 and 2003 by assaying eleven allozyme and nine microsatellite loci. We cannot detect any changes in the amount of genetic variation or spatial structure, and differentiation is weak with overall F_ST=0.003 among localities for the older samples and F_ST=0.002 for the newer ones. There are indications of temporal allele frequency changes, particularly in one of five sampling localities that is reflected in a relatively small local N_e estimate of c. 400. The previously identified influence of selection at the microsatellite locus Cpa112 remains stable over the 24-year period studied here. In spite of little genetic differentiation, migration among localities appears small enough to permit demographic independence between populations.

Population census size (N _C) and effective population sizes (N _e) are two crucial parameters that influence population viability, wildlife management decisions, and conservation planning. Genetic estimators of both N _C and N _e are increasingly widely used because molecular markers are increasingly available, statistical methods are improving rapidly, and genetic estimators complement or improve upon traditional demographic estimators. We review the kinds and applications of estimators of both N _C and N _e, and the often undervalued and misunderstood ratio of effective-to-census size (N _e /N _C). We focus on recently improved and well evaluated methods that are most likely to facilitate conservation. Finally, we outline areas of future research to improve N _e and N _C estimation in wild populations

Fungi have a large potential for flexibility in their mode of sexual reproduction, resulting in mating systems ranging from haploid selfing to outcrossing. However, we know little about which mating strategies are used in nature, and why, even in well-studied model organisms. Here, we explored the fitness consequences of alternative mating strategies in the ascomycete fungus Podospora anserina. We measured and compared fitness proxies of nine genotypes in either diploid selfing or outcrossing events, over two generations, and with or without environmental stress. We showed that fitness was consistently lower in outcrossing events, irrespective of the environment. The cost of outcrossing was partly attributed to non-self recognition genes with pleiotropic effects on fertility. We then predicted that when presented with options to either self or outcross, individuals would perform mate choice in favour of the reproductive strategy that yields higher fitness. Contrary to our prediction, individuals did not seem to avoid outcrossing when a choice was offered, in spite of the fitness cost incurred. Our results suggest that, although functionally diploid, P. anserina does not benefit from outcrossing in most cases. We outline different explanations for the apparent lack of mate choice in face of high fitness costs associated with outcrossing, including a new perspective on the pleiotropic effect of non-self recognition genes. 

Population connectivity is an increasingly important focal area for the understanding of how marine fish populations respond to anthropogenic pressures like climate change and fisheries. Our model species, the saithe Pollachius virens (Linnaeus, 1758), was chosen because genetic analyses have documented a mismatch between the assessed stocks and the biological populations. We combined laboratory experiments of saithe egg buoyancy and temperature-modulated development time, genetic field data, and high-resolution oceanographic models to disentangle the mechanisms causing isolation and mixing between the management units and the biological populations. Saithe egg buoyancy and development data were included in an individual-based model to simulate transport from all known spawning grounds in the Northeast Atlantic. The results show that interannual variability in the transport of early life stages is strongly influenced by wider climate systems (e.g. the North Atlantic Oscillation). One sample (Rockall) showed genetic differences from the other samples, and this finding was supported by the model showing low mixing with other populations and strong local retention. Strong retention of early life stages around Iceland could indicate an isolated population; however, this possible isolation is counteracted by active migration of adults westward from the Norwegian coast, and no genetic differentiation from other populations was found. Overall, the dispersal modeling supports the genetic analysis, showing a large and well-connected Central Northeast Atlantic population distributed across several management units. This mismatch between population structure and management units can potentially increase the risk for overexploitation of saithe.

1. Genetic diversity is one of the three main levels of biodiversity recognised in the Convention on Biological Diversity (CBD). Fundamental for species adaptation to environmental change, genetic diversity is nonetheless under-reported within global and national indicators. When it is reported, the focus is often narrow and confined to domesticated or other commercial species.
2. Several approaches have recently been developed to address this shortfall in reporting on genetic diversity of wild species. While multiplicity of approaches is helpful in any development process, it can also lead to confusion among policy makers and heighten a perception that conservation genetics is too abstract to be of use to organisations and governments.
3. As the developers of five of the different approaches, we have come together to explain how various approaches relate to each other and propose a scorecard, as a unifying reporting mechanism for genetic diversity.
4. Policy implications. We believe the proposed combined approach captures the strengths of its components and is practical for all nations and subnational governments. It is scalable and can be used to evaluate species conservation projects as well as genetic conservation projects.

In this study, the genetic variation of perch Perca fluviatilis from 18 different sites along the Swedish coast of the Baltic Sea was assessed. There was a relative strong support for isolation by distance and the results suggest an overall departure from panmixia. The level of genetic divergence was moderate (global F_ST = 0·04) and indications of differences in the population genetic structure between the two major basins (central Baltic Sea and Gulf of Bothnia) in the Baltic Sea were found. There was a higher level of differentiation in the central Baltic Sea compared to the Gulf of Bothnia, and the results suggest that stretches of deep water might act as barriers to gene flow in the species. On the basis of the estimation of genetic patch size, the results corroborate previous mark–recapture studies and suggest that this is a species suitable for local management. In all, the findings of this study emphasize the importance of considering regional differences even when strong isolation by distance characterize the genetic population structure of species.

Detecting population subdivision when apparent barriers to gene flow are lacking is important in evolutionary and conservation biology. Recent research indicates that intraspecific population complexity can be crucial for maintaining a species' evolutionary potential, productivity, and ecological role. We monitored the genetic relationships at 14 allozyme loci among similar to 4,000 brown trout (Salmo trutta) collected during 19 years from two small interconnected mountain lakes (0.10 and 0.17 km(2), respectively) in central Sweden. There were no allele frequency differences between the lakes. However, heterozygote deficiencies within lakes became obvious after a few years of monitoring. Detailed analyses were then carried out without a priori grouping of samples, revealing unexpected differentiation patterns: (i) the same two genetically distinct (F (ST) a parts per thousand yen 0.10) populations occur sympatrically at about equal frequencies within both lakes, (ii) the genetic subdivision is not coupled with apparent phenotypical dichotomies, (iii) this cryptic structure remains stable over the two decades monitored, and (iv) the point estimates of effective population size are c. 120 and 190, respectively, indicating that genetic drift is important in this system. A subsample of 382 fish was also analyzed for seven microsatellites. The genetic pattern does not follow that of the allozymes, and in this subsample the presence of multiple populations would have gone undetected if only scoring microsatellites. Sympatric populations may be more common than anticipated, but difficult to detect when individuals cannot be grouped appropriately, or when markers or sample sizes are insufficient to provide adequate statistical power with approaches not requiring prior grouping.

It is contentious to what extent sympatric speciation represents a general and taxonomically widespread phenomenon. Documenting the occurrence of multiple, genetically distinct populations within areas lacking barriers to gene flow can increase our understanding of this type of speciation, because such populations are expected to represent the first steps of sympatric speciation. We analyzed the genetic relationships among over 4000 brown trout (Salmo trutta) collected during 19 sampling years from a series of small mountain lakes in northern Scandinavia. Our results clearly indicate the presence of two sympatric populations within these lakes. The populations are characterized by a high degree of genetic divergence coupled with a lack of apparent phenotypic dichotomy. The differentiation pattern appears stable over the two decades monitored, and the exchange of individuals between the two populations appears small. The existence of sympatric populations characterized by substantial genetic divergence may be a much more common phenomenon than anticipated, but difficult to detect in situations where morphological or ecological differentiation is missing. Larger samples than typically collected in a single sampling effort may be needed for revealing situations of sympatry, and for reliable estimation of the number of populations.