9
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Evidence for multiple introductions of an invasive wild bee species currently under rapid range expansion in Europe

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Invasive species are increasingly driving biodiversity decline, and knowledge of colonization dynamics, including both drivers and dispersal modes, are important to prevent future invasions. The bee species Megachile sculpturalis (Hymenoptera: Megachilidae), native to East-Asia, was first recognized in Southeast-France in 2008, and has since spread throughout much of Europe. The spread is very fast, and colonization may result from multiple fronts.

          Result

          To track the history of this invasion, codominant markers were genotyped using Illumina sequencing and the invasion history and degree of connectivity between populations across the European invasion axis were investigated. Distinctive genetic clusters were detected with east–west differentiations in Middle-Europe.

          Conclusion

          We hypothesize that the observed cluster formation resulted from multiple, independent introductions of the species to the European continent. This study draws a first picture of an early invasion stage of this wild bee and forms a foundation for further investigations, including studies of the species in their native Asian range and in the invaded range in North America.

          Related collections

          Most cited references109

          • Record: found
          • Abstract: not found
          • Article: not found

          STRUCTURE HARVESTER: a website and program for visualizing STRUCTURE output and implementing the Evanno method

            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            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
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              PEAR: a fast and accurate Illumina Paired-End reAd mergeR

              Motivation: The Illumina paired-end sequencing technology can generate reads from both ends of target DNA fragments, which can subsequently be merged to increase the overall read length. There already exist tools for merging these paired-end reads when the target fragments are equally long. However, when fragment lengths vary and, in particular, when either the fragment size is shorter than a single-end read, or longer than twice the size of a single-end read, most state-of-the-art mergers fail to generate reliable results. Therefore, a robust tool is needed to merge paired-end reads that exhibit varying overlap lengths because of varying target fragment lengths. Results: We present the PEAR software for merging raw Illumina paired-end reads from target fragments of varying length. The program evaluates all possible paired-end read overlaps and does not require the target fragment size as input. It also implements a statistical test for minimizing false-positive results. Tests on simulated and empirical data show that PEAR consistently generates highly accurate merged paired-end reads. A highly optimized implementation allows for merging millions of paired-end reads within a few minutes on a standard desktop computer. On multi-core architectures, the parallel version of PEAR shows linear speedups compared with the sequential version of PEAR. Availability and implementation: PEAR is implemented in C and uses POSIX threads. It is freely available at http://www.exelixis-lab.org/web/software/pear. Contact: Tomas.Flouri@h-its.org
                Bookmark

                Author and article information

                Contributors
                julia.lanner@hotmail.com
                Journal
                BMC Ecol Evol
                BMC Ecol Evol
                BMC Ecology and Evolution
                BioMed Central (London )
                2730-7182
                5 February 2021
                5 February 2021
                2021
                : 21
                : 17
                Affiliations
                [1 ]GRID grid.5173.0, ISNI 0000 0001 2298 5320, Institute for Integrative Nature Conservation Research, , University of Natural Resources and Life Sciences Vienna (BOKU), ; Gregor-Mendel-Straße 33, 1180 Vienna, Austria
                [2 ]GRID grid.420221.7, ISNI 0000 0004 0403 8399, Insect Pest Control Laboratory, , Joint FAO/IAEA Division of Nuclear Techniques in Food & Agriculture, ; Wagramer Straße 5, 1400 Vienna, Austria
                [3 ]GRID grid.9983.b, ISNI 0000 0001 2181 4263, MARE Marine and Environmental Sciences Centre, Faculdade de Ciências, , Universidade de Lisboa, ; Camop Grande, 1749-016 Lisboa, Portugal
                [4 ]GRID grid.503248.8, ISNI 0000 0004 0600 2381, IMBE, Aix Marseille Université, Avignon Université, CNRS, ; Marseille, France
                [5 ]GRID grid.9227.e, ISNI 0000000119573309, Key Laboratory of Zoological Systematics and Evolution, Institute of Zoology, , Chinese Academy of Sciences, ; 1 Beichen West Road, Beijing, 100101 China
                [6 ]Heinrichstrasse 267A, 8005 Zurich, Switzerland
                Article
                1729
                10.1186/s12862-020-01729-x
                7866639
                33546597
                ca585f08-a0f2-4356-9307-a0af9cffdfd7
                © The Author(s) 2020

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 16 September 2020
                : 30 November 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001822, Österreichischen Akademie der Wissenschaften;
                Award ID: DOC
                Award Recipient :
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2021

                megachile sculpturalis,haplodiploidy,genotyping-by-amplicon sequencing,multiple introductions, transportation vectors

                Comments

                Comment on this article