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      Untangling the hedge: Genetic diversity in clonally and sexually transmitted genomes of European wild roses, Rosa L.

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          Abstract

          While European wild roses are abundant and widely distributed, their morphological taxonomy is complicated and ambiguous. In particular, the polyploid Rosa section Caninae (dogroses) is characterised by its unusual meiosis, causing simultaneous clonal and sexual transmission of sub-genomes. This hemisexual reproduction, which often co-occurs with vegetative reproduction, defies the standard definition of species boundaries. We analysed seven highly polymorphic microsatellite loci, scored for over 2 600 Rosa samples of differing ploidy, collected across Europe within three independent research projects. Based on their morphology, these samples had been identified as belonging to 21 dogrose and five other native rose species. We quantified the degree of clonality within species and at individual sampling sites. We then compared the genetic structure within our data to current rose morpho-systematics and searched for hemisexually co-inherited sets of alleles at individual loci. We found considerably fewer copies of identical multi-locus genotypes in dogroses than in roses with regular meiosis, with some variation recorded among species. While clonality showed no detectable geographic pattern, some genotypes appeared to be more widespread. Microsatellite data confirmed the current classification of subsections, but they did not support most of the generally accepted dogrose microspecies. Under canina meiosis, we found co-inherited sets of alleles as expected, but could not distinguish between sexually and clonally inherited sub-genomes, with only some of the detected allele combinations being lineage-specific.

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          ape 5.0: an environment for modern phylogenetics and evolutionary analyses in R

          After more than fifteen years of existence, the R package ape has continuously grown its contents, and has been used by a growing community of users. The release of version 5.0 has marked a leap towards a modern software for evolutionary analyses. Efforts have been put to improve efficiency, flexibility, support for 'big data' (R's long vectors), ease of use and quality check before a new release. These changes will hopefully make ape a useful software for the study of biodiversity and evolution in a context of increasing data quantity.
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            Poppr: an R package for genetic analysis of populations with clonal, partially clonal, and/or sexual reproduction

            Many microbial, fungal, or oomcyete populations violate assumptions for population genetic analysis because these populations are clonal, admixed, partially clonal, and/or sexual. Furthermore, few tools exist that are specifically designed for analyzing data from clonal populations, making analysis difficult and haphazard. We developed the R package poppr providing unique tools for analysis of data from admixed, clonal, mixed, and/or sexual populations. Currently, poppr can be used for dominant/codominant and haploid/diploid genetic data. Data can be imported from several formats including GenAlEx formatted text files and can be analyzed on a user-defined hierarchy that includes unlimited levels of subpopulation structure and clone censoring. New functions include calculation of Bruvo’s distance for microsatellites, batch-analysis of the index of association with several indices of genotypic diversity, and graphing including dendrograms with bootstrap support and minimum spanning networks. While functions for genotypic diversity and clone censoring are specific for clonal populations, several functions found in poppr are also valuable to analysis of any populations. A manual with documentation and examples is provided. Poppr is open source and major releases are available on CRAN: http://cran.r-project.org/package=poppr. More supporting documentation and tutorials can be found under ‘resources’ at: http://grunwaldlab.cgrb.oregonstate.edu/.
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              A simple method for the calculation of microsatellite genotype distances irrespective of ploidy level.

              Abstract Microsatellites are powerful molecular markers, used commonly to estimate intraspecific genetic distances. With the exception of band sharing similarity index, available distance measures were developed specifically for diploid organisms and are unsuited for comparisons of polyploids. Here, we present a simple method for calculation of microsatellite genotype distances, which takes into account mutation processes and permits comparison of individuals with different ploidy levels. This method should provide a valuable tool for intraspecific analyses of polyploid organisms, which are widespread among plants and some animal taxa. An illustration is given using data from the planarian flatworm Schmidtea polychroa (Platyhelminthes).
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Formal analysisRole: InvestigationRole: SoftwareRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: Writing – review & editing
                Role: Data curationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 October 2023
                2023
                : 18
                : 10
                : e0292634
                Affiliations
                [1 ] Institute of Biology, Dahlem Center of Plant Sciences, Freie Universität Berlin, Berlin, Germany
                [2 ] Department of Botany, Senckenberg Museum for Natural History Görlitz, Senckenberg–Member of the Leibniz Association, Görlitz, Germany
                [3 ] Department of Plant Breeding, Balsgård, Swedish University of Agricultural Sciences, Kristianstad, Sweden
                [4 ] Institute of Botany, Systematic Botany Group, Justus-Liebig-University, Gießen, Germany
                [5 ] Flanders Research Institute for Agricultural, Fisheries and Food Research (ILVO), Plant Sciences Unit, Melle, Belgium
                [6 ] Plant Breeding, Wageningen University & Research, Wageningen, The Netherlands
                [7 ] International Institute (IHI) Zittau, Chair of Biodiversity of Higher Plants, Technical University Dresden, Zittau, Germany
                University of Delhi, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0001-9052-3179
                https://orcid.org/0000-0003-4335-0193
                https://orcid.org/0000-0002-8549-6046
                Article
                PONE-D-23-17983
                10.1371/journal.pone.0292634
                10553836
                37797054
                368fb466-9bdb-4724-8781-6c713e12aca4
                © 2023 Reichel et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 9 June 2023
                : 25 September 2023
                Page count
                Figures: 5, Tables: 2, Pages: 21
                Funding
                Funded by: Senckenberg Society (DE)
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100009091, Justus Liebig Universität Gießen;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100007537, Freie Universität Berlin;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100000780, European Commission;
                Award ID: QLK5-CT-2002-01278
                Funded by: funder-id http://dx.doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft;
                Award ID: Ri 3090/3-1, 4-1
                Award Recipient :
                Data acquisition for this study was financed by core funding from the Senckenberg Society (CMR; www.senckenberg.de/en/), from Justus Liebig University Giessen (VW; www.uni-giessen.de/en/) and by the European Commission, project Generose (QLK5-CT-2002-01278 to JDR, HN, MJMS; research-and-innovation.ec.europa.eu/). VH was employed partially by funds from the German Research Foundation (Ri 3090/3-1, 4-1 to CMR; www.dfg.de/en/). Open Access funding was provided by Freie Universität Berlin (KR; www.fu-berlin.de/en/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Evolutionary Biology
                Population Genetics
                Ploidy
                Biology and Life Sciences
                Genetics
                Population Genetics
                Ploidy
                Biology and Life Sciences
                Population Biology
                Population Genetics
                Ploidy
                Biology and Life Sciences
                Organisms
                Eukaryota
                Plants
                Flowering Plants
                Roses
                Biology and Life Sciences
                Cell Biology
                Cell Processes
                Cell Cycle and Cell Division
                Meiosis
                Biology and Life Sciences
                Cell Biology
                Chromosome Biology
                Meiosis
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Alleles
                Biology and Life Sciences
                Genetics
                Departures from Diploidy
                Polyploidy
                Tetraploidy
                Biology and Life Sciences
                Taxonomy
                Computer and Information Sciences
                Data Management
                Taxonomy
                Biology and Life Sciences
                Genetics
                Genomics
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Custom metadata
                All relevant data are within the manuscript and its Supporting Information files.

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