10 research outputs found

    The genome sequence of the northern brown argus, aricia artaxerxes (Fabricius, 1793)

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    We present a genome assembly from an individual Aricia artaxerxes (the northern brown argus; Arthropoda; Insecta; Lepidoptera; Lycaenidae). The genome sequence is 458 megabases in span. Most of the assembly (99.99%) is scaffolded into 23 chromosomal pseudomolecules, including the assembled Z sex chromosome. The mitochondrial genome has also been assembled and is 15.8 kilobases in length. Gene annotation of this assembly on Ensembl has identified 12,688 protein coding genes

    Overground versus underground : a genetic insight into dispersal and abundance of the Cape dune mole-rat

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    Molecular methods are commonly used to investigate cryptic populations that are difficult to locate or observe directly. The population dynamics of many subterranean organisms have been overlooked, at least in part, as a result of the absence of appropriate molecular markers. Recent studies in African mole-rats have raised questions about the modes of dispersal and mate acquisition. In the present study, we apply a suite of 25 microsatellite markers to test the overground/underground dispersal hypotheses. Using these data, we also apply an approach to estimate population size and look for signal of demographic expansion or contraction. The genetic data suggest that the same breeding population extends between locations (approximately 50 km), with elevated inbreeding coefficients suggestive of some degree of isolation of the urban location. Low genetic differentiation between study sites supports the proposed high levels of vagility of dispersing individuals overground. We find a signal of long-term population decline of Bathyergus suillus in this region. Their adherence to mesic conditions potentially recommends B. suillus to be of utility in monitoring the proposed climate-induced desiccation of the Western Cape. Of potential interest is the discovery of a second divergent population at the rural location, with microsatellite data suggesting contemporary reproductive isolation and a mitochondrial divergence putatively dated at approximately 0.6 Mya.University of Pretoria.DST-NRF SARChI Chair for Mammal behavioural ecology and physiology.http://onlinelibrary.wiley.com/journal/10.1111/(ISSN)1095-8312hb201

    Rapid evolution of novel biotic interactions in the UK Brown Argus butterfly uses genomic variation from across its geographical range

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    Understanding the rate and extent to which populations can adapt to novel environments at their ecological margins is fundamental to predicting the persistence of biological communities during ongoing and rapid global change. Recent range expansion in response to climate change in the UK butterfly Aricia agestis is associated with the evolution of novel interactions with a larval food plant, and the loss of its ability to use an ancestral host species. Using ddRAD analysis of 61,210 variable SNPs from 261 females from throughout the UK range of this species, we identify genomic regions at multiple chromosomes that are associated with evolutionary responses, and their association with demographic history and ecological variation. Gene flow appears widespread throughout the range, despite the apparently fragmented nature of the habitats used by this species. Patterns of haplotype variation between selected and neutral genomic regions suggest that evolution associated with climate adaptation is polygenic, resulting from the independent spread of alleles throughout the established range of this species, rather than the colonization of pre-adapted genotypes from coastal populations. These data suggest that rapid responses to climate change do not depend on the availability of pre-adapted genotypes. Instead, the evolution of novel forms of biotic interaction in A. agestis has occurred during range expansion, through the assembly of novel genotypes from alleles from multiple localities

    Relative importance of isolation-by-environment and other determinants of gene flow in an alpine amphibian

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    A pattern of population structure called isolation‐by‐environment (IBE) evolves when gene flow connecting populations in different habitats is lower than expected. Although IBE is widespread, there is limited information on its magnitude compared with other factors influencing gene flow. We estimated the relative importance of IBE in the frog Rana temporaria in the Swiss Alps, a geographic context in which IBE should be relatively pronounced. The environmental factor potentially causing IBE was the length of the growing season, which is highly correlated with elevation. A sample of 992 individuals from 82 breeding sites were genotyped at 1827 SNP markers; gene flow was estimated in four ways related to FST, genetic distance, allele sharing, and distance on a population‐graph. Gravity modeling and random forest regression evaluated the importance of six at‐site covariates, ten between‐site covariates, and geographic distance. There was broad agreement among analysis methods and measures of gene flow: isolation‐by‐distance (IBD) and habitat quality between sites were of highest importance, the elevation and ruggedness of the dispersal path were about half as important, and IBE was about 10–20% as important as IBD. These results combine with other evidence to suggest that population divergence across elevational gradients is underway in amphibians

    European common frog (Rana temporaria) recolonized Switzerland from multiple glacial refugia in northern Italy via trans‐ and circum‐Alpine routes

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    The high mountain ranges of Western Europe had a profound effect on the biotic recolonization of Europe from glacial refugia. The Alps present a particularly interesting case because they form an absolute barrier to dispersal for most taxa, obstructing recolonization from multiple refugia in northern Italy. Here, we investigate the effect of the European Alps on the phylogeographic history of the European common frog Rana temporaria. Based on partial cytochrome b and COXI sequences from Switzerland, we find two mitochondrial lineages roughly north and south of the Alpine ridge, with contact zones between them in eastern and western Switzerland. The northern haplogroup falls within the previously identified Western European haplogroup, while the southern haplogroup is unique to Switzerland. We find that the lineages diverged ~110 kya, at approximately the onset of the last glacial glaciation; this indicates that they are from different glacial refugia. Phylogenetic analyses suggest that the northern and southern haplogroups colonized Switzerland via trans- and circum-Alpine routes from at least two separate refugia in northern Italy. Our results illustrate how a complex recolonization history of the central European Alps can arise from the semi-permeable barrier created by high mountains

    Gene Flow Limits Adaptation along Steep Environmental Gradients

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    When environmental variation is spatially continuous, dispersing individuals move among nearby sites with similar habitat conditions. But as an environmental gradient becomes steeper, gene flow may connect more divergent habitats, and this is predicted to reduce the slope of the adaptive cline that evolves. We compared quantitative genetic divergence of Rana temporaria frog populations along a 2,000-m elevational gradient in eastern Switzerland (new experimental results) with divergence along a 1,550-km latitudinal gradient in Fennoscandia (previously published results). Both studies found significant countergradient variation in larval development rate (i.e., animals from cold climates developed more rapidly). The cline was weaker with elevation than with latitude. Animals collected on both gradients were genotyped at ∌2,000 single-nucleotide polymorphism markers, revealing that dispersal distance was 30% farther on the latitudinal gradient but 3.9 times greater with respect to environmental conditions on the elevational gradient. A meta-analysis of 19 experimental studies of anuran populations spanning temperature gradients revealed that countergradient variation in larval development, while significant overall, was weaker when measured on steeper gradients. These findings support the prediction that adaptive population divergence is less pronounced, and maladaptation more pervasive, on steep environmental gradients

    Relative importance of isolation-by-environment and other determinants of gene flow in an alpine amphibian

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    A pattern of population structure called isolation-by-environment (IBE) evolves when gene flow connecting populations in different habitats is lower than expected. Although IBE is widespread, there is limited information on its magnitude compared with other factors influencing gene flow. We estimated the relative importance of IBE in the frog Rana temporaria in the Swiss Alps, a geographic context in which IBE should be relatively pronounced. The environmental factor potentially causing IBE was the length of the growing season, which is highly correlated with elevation. A sample of 992 individuals from 82 breeding sites were genotyped at 1827 SNP markers; gene flow was estimated in four ways related to FST, genetic distance, allele sharing, and distance on a population-graph. Gravity modeling and random forest regression evaluated the importance of six at-site covariates, ten between-site covariates, and geographic distance. There was broad agreement among analysis methods and measures of gene flow: isolation-by-distance (IBD) and habitat quality between sites were of highest importance, the elevation and ruggedness of the dispersal path were about half as important, and IBE was about 10-20% as important as IBD. These results combine with other evidence to suggest that population divergence across elevational gradients is underway in amphibians.,The .vcf data were collected by ddRAD sequencing and processed as described in the publication. The Excel file contains six sheets, each containing a dataset that is read by the analysis script. The definitions, collection, and analysis details are decribed at the top of each sheet in the Excel file.,Interpretation of all variables is given at the top of each sheet in the Excel file. The analysis should run using the analysis script, once the data are saved as text files in a directory defined by the user.
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