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      Only males care about their environment: sex-biased dispersal in the asp viper ( Vipera aspis)

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          Abstract

          Sex-biased dispersal is common among vertebrates and numerous studies have documented a tendency towards male-biased dispersal in mammals and female-biased dispersal in birds. A few studies have demonstrated that male-biased dispersal seems to be prevalent in reptiles. However, most of these studies considered only a single study site without taking into account possible local variability. We investigated sex-biased dispersal in Vipera aspis in four study sites in Switzerland using microsatellite markers and we predicted a higher dispersal in males than females. In two study sites, females were more spatially autocorrelated and showed a stronger isolation by distance compared with males, which suggests male-biased dispersal. In the other two study sites, the absence of sex-biased dispersal could have been the result of habitat fragmentation. Surprisingly, the dispersal ability of females was similar in the four sites, regardless of habitat fragmentation. This finding suggests a limited impact of habitat on female dispersal and the opposite for male dispersal. Our study demonstrates the importance of inferring sex-biased dispersal in different habitats, because local barriers can affect the outcome of such studies. Hence, general conclusions about patterns of sex-biased dispersal should be drawn with caution when studies are conducted at a single study site.

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          adegenet: a R package for the multivariate analysis of genetic markers.

          The package adegenet for the R software is dedicated to the multivariate analysis of genetic markers. It extends the ade4 package of multivariate methods by implementing formal classes and functions to manipulate and analyse genetic markers. Data can be imported from common population genetics software and exported to other software and R packages. adegenet also implements standard population genetics tools along with more original approaches for spatial genetics and hybridization. Stable version is available from CRAN: http://cran.r-project.org/mirrors.html. Development version is available from adegenet website: http://adegenet.r-forge.r-project.org/. Both versions can be installed directly from R. adegenet is distributed under the GNU General Public Licence (v.2).
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            Is Open Access

            GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update

            Summary: GenAlEx: Genetic Analysis in Excel is a cross-platform package for population genetic analyses that runs within Microsoft Excel. GenAlEx offers analysis of diploid codominant, haploid and binary genetic loci and DNA sequences. Both frequency-based (F-statistics, heterozygosity, HWE, population assignment, relatedness) and distance-based (AMOVA, PCoA, Mantel tests, multivariate spatial autocorrelation) analyses are provided. New features include calculation of new estimators of population structure: G′ST, G′′ST, Jost’s D est and F′ST through AMOVA, Shannon Information analysis, linkage disequilibrium analysis for biallelic data and novel heterogeneity tests for spatial autocorrelation analysis. Export to more than 30 other data formats is provided. Teaching tutorials and expanded step-by-step output options are included. The comprehensive guide has been fully revised. Availability and implementation: GenAlEx is written in VBA and provided as a Microsoft Excel Add-in (compatible with Excel 2003, 2007, 2010 on PC; Excel 2004, 2011 on Macintosh). GenAlEx, and supporting documentation and tutorials are freely available at: http://biology.anu.edu.au/GenAlEx. Contact: rod.peakall@anu.edu.au
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              genalex 6: genetic analysis in Excel. Population genetic software for teaching and research

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                Author and article information

                Contributors
                (View ORCID Profile)
                Journal
                Biological Journal of the Linnean Society
                Oxford University Press (OUP)
                0024-4066
                1095-8312
                January 01 2021
                January 01 2021
                December 03 2020
                January 01 2021
                January 01 2021
                December 03 2020
                : 132
                : 1
                : 104-115
                Affiliations
                [1 ]Department of Environmental Sciences, Section of Conservation Biology, University of Basel, Basel, Switzerland
                [2 ]HW Romandie SA, Montreux, Switzerland
                [3 ]Department of Ecology and Evolution, University of Lausanne, Lausanne, Switzerland
                [4 ]AgroSustain SA, Nyon, Switzerland
                [5 ]info fauna – CSCF & karch, Neuchâtel, Switzerland
                Article
                10.1093/biolinnean/blaa177
                91dd90f1-19f5-489c-a410-23c4ffad3b14
                © 2020

                https://academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model

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