8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Geographic population structure of the honeybee microsporidian parasite Vairimorpha ( Nosema) ceranae in the South West Indian Ocean

      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

          The microsporidian Vairimorpha (Nosema) ceranae is one of the most common parasites of the honeybee. A single honeybee carries many parasites and therefore multiple alleles of V. ceranae genes that seem to be ubiquitous. As a consequence, nucleotide diversity analyses have not allowed discriminating genetic structure of parasite populations. We performed deep loci-targeted sequencing to monitor the haplotype frequencies of genome markers in isolates from discontinuous territories, namely the tropical islands of the South West Indian Ocean. The haplotype frequency distribution corroborated the suspected tetraploidy of the parasite. Most major haplotypes were ubiquitous in the area but with variable frequency. While oceanic isolates differed from European and Asian outgroups, parasite populations from distinct archipelagoes also differed in their haplotype distribution. Interestingly an original and very divergent Malagasy isolate was detected. The observed population structure allowed formulating hypotheses upon the natural history of V. ceranae in this oceanic area. We also discussed the usefulness of allelic distribution assessment, using multiple informative loci or genome-wide analyses, when parasite population is not clonal within a single host.

          Related collections

          Most cited references66

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

          VSEARCH: a versatile open source tool for metagenomics

          Background VSEARCH is an open source and free of charge multithreaded 64-bit tool for processing and preparing metagenomics, genomics and population genomics nucleotide sequence data. It is designed as an alternative to the widely used USEARCH tool (Edgar, 2010) for which the source code is not publicly available, algorithm details are only rudimentarily described, and only a memory-confined 32-bit version is freely available for academic use. Methods When searching nucleotide sequences, VSEARCH uses a fast heuristic based on words shared by the query and target sequences in order to quickly identify similar sequences, a similar strategy is probably used in USEARCH. VSEARCH then performs optimal global sequence alignment of the query against potential target sequences, using full dynamic programming instead of the seed-and-extend heuristic used by USEARCH. Pairwise alignments are computed in parallel using vectorisation and multiple threads. Results VSEARCH includes most commands for analysing nucleotide sequences available in USEARCH version 7 and several of those available in USEARCH version 8, including searching (exact or based on global alignment), clustering by similarity (using length pre-sorting, abundance pre-sorting or a user-defined order), chimera detection (reference-based or de novo), dereplication (full length or prefix), pairwise alignment, reverse complementation, sorting, and subsampling. VSEARCH also includes commands for FASTQ file processing, i.e., format detection, filtering, read quality statistics, and merging of paired reads. Furthermore, VSEARCH extends functionality with several new commands and improvements, including shuffling, rereplication, masking of low-complexity sequences with the well-known DUST algorithm, a choice among different similarity definitions, and FASTQ file format conversion. VSEARCH is here shown to be more accurate than USEARCH when performing searching, clustering, chimera detection and subsampling, while on a par with USEARCH for paired-ends read merging. VSEARCH is slower than USEARCH when performing clustering and chimera detection, but significantly faster when performing paired-end reads merging and dereplication. VSEARCH is available at https://github.com/torognes/vsearch under either the BSD 2-clause license or the GNU General Public License version 3.0. Discussion VSEARCH has been shown to be a fast, accurate and full-fledged alternative to USEARCH. A free and open-source versatile tool for sequence analysis is now available to the metagenomics community.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows.

            We present here a new version of the Arlequin program available under three different forms: a Windows graphical version (Winarl35), a console version of Arlequin (arlecore), and a specific console version to compute summary statistics (arlsumstat). The command-line versions run under both Linux and Windows. The main innovations of the new version include enhanced outputs in XML format, the possibility to embed graphics displaying computation results directly into output files, and the implementation of a new method to detect loci under selection from genome scans. Command-line versions are designed to handle large series of files, and arlsumstat can be used to generate summary statistics from simulated data sets within an Approximate Bayesian Computation framework. © 2010 Blackwell Publishing Ltd.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              msatcommander: detection of microsatellite repeat arrays and automated, locus-specific primer design.

              msatcommander is a platform-independent program designed to search for microsatellite arrays, design primers, and tag primers using an automated routine. msatcommander accepts as input DNA sequence data in single-sequence or concatenated, fasta-formatted files. Search data and locus-specific primers are written to comma-separated value files for subsequent use in spreadsheet or database programs. Binary versions of the graphical interface for msatcommander are available for Apple OS X and Windows XP. Users of other operating systems may run the graphical interface version using the available source code, provided their environment supports at least Python 2.4, Biopython 1.43, and wxPython 2.8. msatcommander is available from http://code.google.com/p/msatcommander/. © 2007 The Author.
                Bookmark

                Author and article information

                Contributors
                nicolas.blot@uca.fr
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                26 July 2023
                26 July 2023
                2023
                : 13
                : 12122
                Affiliations
                [1 ]GRID grid.494717.8, ISNI 0000000115480420, Université Clermont Auvergne, CNRS, “Laboratoire Microorganismes: Génome et Environnement”, ; Clermont-Ferrand, France
                [2 ]GRID grid.11642.30, ISNI 0000 0001 2111 2608, Université de la Réunion, UMR Peuplements Végétaux et Bio-agresseurs en Milieu Tropical, ; 97410 Saint-Pierre, La Réunion France
                [3 ]GRID grid.8183.2, ISNI 0000 0001 2153 9871, CIRAD, UMR Peuplements Végétaux et Bio-agresseurs en Milieu Tropical, ; 97410 Saint-Pierre, La Réunion France
                [4 ]GRID grid.7922.e, ISNI 0000 0001 0244 7875, Center of Excellence in Entomology, Department of Biology, Faculty of Sciences, , Chulalongkorn University, ; Bangkok, Thailand
                [5 ]Groupement de Défense Sanitaire de la Réunion, La Plaine des Cafres, France
                [6 ]CIRAD, UMR Peuplements Végétaux et Bio-agresseurs en Milieu Tropical, 101 Antananarivo, Madagascar
                Article
                38905
                10.1038/s41598-023-38905-0
                10372035
                37495608
                9e67dd67-81da-4c6c-8b1b-e05846b446aa
                © The Author(s) 2023

                Open Access This 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/.

                History
                : 23 January 2023
                : 17 July 2023
                Funding
                Funded by: CNRS EC2CO (ECosphère COntinentale et COtière)
                Funded by: FundRef http://dx.doi.org/10.13039/501100008530, European Regional Development Fund;
                Funded by: Groupement de Défense Sanitaire de la Réunion
                Funded by: European Union Interreg V
                Funded by: Conseil Régional de la Réunion
                Categories
                Article
                Custom metadata
                © Springer Nature Limited 2023

                Uncategorized
                population genetics,parasite evolution,parasite genomics
                Uncategorized
                population genetics, parasite evolution, parasite genomics

                Comments

                Comment on this article