7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Population size as a major determinant of mating system and population genetic differentiation in a narrow endemic chasmophyte

      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

          Mating system is one of the major determinants of intra- and interspecific genetic structure, but may vary within and between plant populations. Our study model included all known populations of Moehringia tommasinii (Caryophyllaceae), a narrow endemic plant inhabiting rock crevices in the northwestern Adriatic, and some populations of co-occurring and widespread M. muscosa, an ecologically divergent relative with an overlapping flowering period. We performed reciprocal crosses within and between taxa and used molecular markers to assess the extent of gene flow within and between populations and taxa. Using coefficient of inbreeding, population size, seed weight, pollen-to-ovule ratio, and flower display size, we also looked for evidence of a selfing syndrome.

          Results

          A surprisingly high variation in mating systems was observed among populations of M. tommasinii. These populations exhibited genetic structuring, with their size positively correlated with both seed weight and pollen production. Although a selfing syndrome could not be confirmed as the majority of selfing resulted from allogamous treatments, the occurrence of selfing was notable. In the presence of M. muscosa, at a site where both species coexist closely, a distinct pattern of fruit production was observed in M. tommasinii following various pollination treatments. Molecular and morphometric data provided evidence of hybridization followed by local extinction at this site.

          Conclusions

          Population size proved to be the most important factor affecting the mating system in genetically structured populations of M. tommasinii. Lighter seeds and lower pollen production observed in populations with pronounced selfing do not provide enough evidence for the selfing syndrome. Detected gene flow between M. tommasinii and the sympatric M. muscosa suggested weak reproductive barriers between the taxa, which could pose a conservation problems for the former species. Hybridization leading to local extinction may also resulted in floral polymorphism and disruption of mating patterns of M. tommasinii.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12870-023-04384-8.

          Related collections

          Most cited references122

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

          Inference of Population Structure Using Multilocus Genotype Data

          We describe a model-based clustering method for using multilocus genotype data to infer population structure and assign individuals to populations. We assume a model in which there are K populations (where K may be unknown), each of which is characterized by a set of allele frequencies at each locus. Individuals in the sample are assigned (probabilistically) to populations, or jointly to two or more populations if their genotypes indicate that they are admixed. Our model does not assume a particular mutation process, and it can be applied to most of the commonly used genetic markers, provided that they are not closely linked. Applications of our method include demonstrating the presence of population structure, assigning individuals to populations, studying hybrid zones, and identifying migrants and admixed individuals. We show that the method can produce highly accurate assignments using modest numbers of loci—e.g., seven microsatellite loci in an example using genotype data from an endangered bird species. The software used for this article is available from http://www.stats.ox.ac.uk/~pritch/home.html.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Detecting the number of clusters of individuals using the software structure: a simulation study

            The identification of genetically homogeneous groups of individuals is a long standing issue in population genetics. A recent Bayesian algorithm implemented in the software STRUCTURE allows the identification of such groups. However, the ability of this algorithm to detect the true number of clusters (K) in a sample of individuals when patterns of dispersal among populations are not homogeneous has not been tested. The goal of this study is to carry out such tests, using various dispersal scenarios from data generated with an individual-based model. We found that in most cases the estimated 'log probability of data' does not provide a correct estimation of the number of clusters, K. However, using an ad hoc statistic DeltaK based on the rate of change in the log probability of data between successive K values, we found that STRUCTURE accurately detects the uppermost hierarchical level of structure for the scenarios we tested. As might be expected, the results are sensitive to the type of genetic marker used (AFLP vs. microsatellite), the number of loci scored, the number of populations sampled, and the number of individuals typed in each sample.
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

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

                Bookmark

                Author and article information

                Contributors
                bostjan.surina@prirodoslovni.com
                Journal
                BMC Plant Biol
                BMC Plant Biol
                BMC Plant Biology
                BioMed Central (London )
                1471-2229
                9 August 2023
                9 August 2023
                2023
                : 23
                : 383
                Affiliations
                [1 ]Natural History Museum Rijeka, Lorenzov prolaz 1, 51000 Rijeka, Croatia
                [2 ]GRID grid.412740.4, ISNI 0000 0001 0688 0879, Faculty of Mathematics, Natural Sciences and Information Technologies, , University of Primorska, ; Glagoljaška 8, 6000 Koper, Slovenia
                [3 ]GRID grid.507630.7, ISNI 0000 0001 2107 4293, Institut Botànic de Barcelona (IBB, CSIC–Ajuntament de Barcelona), ; Passeig del Migdia s.n., Parc de Montjuïc, 08038 Barcelona, Spain
                [4 ]GRID grid.4808.4, ISNI 0000 0001 0657 4636, Division of Botany, Department of Biology, Faculty of Science, , University of Zagreb, ; Marulićev trg 9a, 10000 Zagreb, Croatia
                [5 ]GRID grid.4808.4, ISNI 0000 0001 0657 4636, Centre of Excellence for Biodiversity and Molecular Plant Breeding, ; Svetošimunska cesta 25, 10000 Zagreb, Croatia
                [6 ]GRID grid.8051.c, ISNI 0000 0000 9511 4342, Centre for Functional Ecology–Science for People & the Planet, Department of Life Sciences, , University of Coimbra, ; Calçada Martim de Freitas, 3000-456 Coimbra, Portugal
                Author information
                http://orcid.org/0000-0002-2635-315X
                http://orcid.org/0000-0002-4316-8511
                http://orcid.org/0000-0002-2545-5613
                http://orcid.org/0000-0001-8900-5112
                http://orcid.org/0000-0002-1281-105X
                http://orcid.org/0000-0002-7358-6685
                Article
                4384
                10.1186/s12870-023-04384-8
                10411015
                37553615
                8d5bbf22-cee1-4086-ad3e-05bac4a4f53b
                © BioMed Central Ltd., part of Springer Nature 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/. 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
                : 6 February 2023
                : 18 July 2023
                Funding
                Funded by: European Comission, Interreg V-A Slovenia-Croatia 2014-2020
                Award ID: LIKE SLO–HR225
                Award ID: LIKE SLO–HR225
                Award ID: LIKE SLO–HR225
                Award ID: LIKE SLO–HR225
                Funded by: European Comission, Cost Action
                Award ID: ConservePlants CA18201
                Award ID: ConservePlants CA18201
                Award ID: ConservePlants CA18201
                Award ID: ConservePlants CA18201
                Award ID: ConservePlants CA18201
                Award ID: ConservePlants CA18201
                Award ID: ConservePlants CA18201
                Funded by: European Comission, ERDF
                Award ID: KK.01.1.1.01.0005 Biodiversity and Molecular Plant Breeding (CoE CroP-BioDiv)
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                Plant science & Botany
                chasmophyte,conservation genetics,flower morphology,hybridization,introgression,mating system,microsatellites,moehringia,pollination biology,population size,selfing syndrome

                Comments

                Comment on this article