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

      High Genetic Diversity despite Conserved Karyotype Organization in the Giant Trahiras from Genus Hoplias (Characiformes, Erythrinidae)

      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

          In the fish genus Hoplias, two major general groups can be found, one of which is formed by the “common trahiras” ( Hoplias malabaricus group) and the other by the “giant trahiras” ( Hoplias lacerdae group, in addition to Hoplias aimara), which usually comprises specimens of larger body size. Previous investigations from the giant trahiras group recovered 2n = 50 meta/submetacentric chromosomes and no sex chromosome differentiation, indicating a probable conservative pattern for their karyotype organization. Here, we conducted comparative cytogenetic studies in six giant trahiras species, two of them for the first time. We employed standard and advanced molecular cytogenetics procedures, including comparative genomic hybridization (CGH), as well as genomic assessments of diversity levels and phylogenetic relationships among them. The results strongly suggest that the giant trahiras have a particular and differentiated evolutionary pathway inside the Hoplias genus. While these species share the same 2n and karyotypes, their congeneric species of the H. malabaricus group show a notable chromosomal diversity in number, morphology, and sex chromosome systems. However, at the same time, significant changes were characterized at their inner chromosomal level, as well as in their genetic diversity, highlighting their current relationships resulting from different evolutionary histories.

          Related collections

          Most cited references54

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

          Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

          Abstract Bayesian inference of phylogeny using Markov chain Monte Carlo (MCMC) plays a central role in understanding evolutionary history from molecular sequence data. Visualizing and analyzing the MCMC-generated samples from the posterior distribution is a key step in any non-trivial Bayesian inference. We present the software package Tracer (version 1.7) for visualizing and analyzing the MCMC trace files generated through Bayesian phylogenetic inference. Tracer provides kernel density estimation, multivariate visualization, demographic trajectory reconstruction, conditional posterior distribution summary, and more. Tracer is open-source and available at http://beast.community/tracer.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            BEAST 2.5: An advanced software platform for Bayesian evolutionary analysis

            Elaboration of Bayesian phylogenetic inference methods has continued at pace in recent years with major new advances in nearly all aspects of the joint modelling of evolutionary data. It is increasingly appreciated that some evolutionary questions can only be adequately answered by combining evidence from multiple independent sources of data, including genome sequences, sampling dates, phenotypic data, radiocarbon dates, fossil occurrences, and biogeographic range information among others. Including all relevant data into a single joint model is very challenging both conceptually and computationally. Advanced computational software packages that allow robust development of compatible (sub-)models which can be composed into a full model hierarchy have played a key role in these developments. Developing such software frameworks is increasingly a major scientific activity in its own right, and comes with specific challenges, from practical software design, development and engineering challenges to statistical and conceptual modelling challenges. BEAST 2 is one such computational software platform, and was first announced over 4 years ago. Here we describe a series of major new developments in the BEAST 2 core platform and model hierarchy that have occurred since the first release of the software, culminating in the recent 2.5 release.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Chromosome inversions, local adaptation and speciation.

              We study the evolution of inversions that capture locally adapted alleles when two populations are exchanging migrants or hybridizing. By suppressing recombination between the loci, a new inversion can spread. Neither drift nor coadaptation between the alleles (epistasis) is needed, so this local adaptation mechanism may apply to a broader range of genetic and demographic situations than alternative hypotheses that have been widely discussed. The mechanism can explain many features observed in inversion systems. It will drive an inversion to high frequency if there is no countervailing force, which could explain fixed differences observed between populations and species. An inversion can be stabilized at an intermediate frequency if it also happens to capture one or more deleterious recessive mutations, which could explain polymorphisms that are common in some species. This polymorphism can cycle in frequency with the changing selective advantage of the locally favored alleles. The mechanism can establish underdominant inversions that decrease heterokaryotype fitness by several percent if the cause of fitness loss is structural, while if the cause is genic there is no limit to the strength of underdominance that can result. The mechanism is expected to cause loci responsible for adaptive species-specific differences to map to inversions, as seen in recent QTL studies. We discuss data that support the hypothesis, review other mechanisms for inversion evolution, and suggest possible tests.
                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Genes (Basel)
                Genes (Basel)
                genes
                Genes
                MDPI
                2073-4425
                10 February 2021
                February 2021
                : 12
                : 2
                : 252
                Affiliations
                [1 ]Laboratório de Citogenética de Peixes, Departamento de Genética e Evolução, Universidade Federal de São Carlos, 13565-905 São Carlos, SP, Brazil; francisco.sassi@ 123456hotmail.com (F.d.M.C.S.); manolofperez@ 123456gmail.com (M.F.P.); vanessacristina.sales@ 123456gmail.com (V.C.S.O.); geizedeon@ 123456hotmail.com (G.A.D.); fernando_Hsouza@ 123456outlook.com.br (F.H.S.d.S.); pferreira@ 123456estudante.ufscar.br (P.H.N.F.); hterumi@ 123456yahoo.com.br (T.H.); bertollo@ 123456ufscar.br (L.A.C.B.); mbcioffi@ 123456ufscar.br (M.d.B.C.)
                [2 ]Secretaria de Estado de Educação de Mato Grosso—SEDUC-MT, 78049-909 Cuiabá, MT, Brazil; ezekbio@ 123456gmail.com
                [3 ]Institute of Human Genetics, University Hospital Jena, 07747 Jena, Germany
                Author notes
                [* ]Correspondence: thomas.liehr@ 123456med.uni-jena.de ; Tel.: +49-36-41-939-68-50; Fax: +49-3641-93-96-852
                Author information
                https://orcid.org/0000-0001-5699-5789
                https://orcid.org/0000-0002-4642-7793
                https://orcid.org/0000-0001-8638-0515
                https://orcid.org/0000-0001-6209-6296
                https://orcid.org/0000-0002-8264-8884
                https://orcid.org/0000-0003-1672-3054
                https://orcid.org/0000-0003-4340-1464
                Article
                genes-12-00252
                10.3390/genes12020252
                7916553
                33578790
                b582b4f7-1984-4b15-b9e3-2f07ff0215fb
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 28 January 2021
                : 05 February 2021
                Categories
                Article

                fishes,cytogenetics,dartseq,phylogenetics,genomics
                fishes, cytogenetics, dartseq, phylogenetics, genomics

                Comments

                Comment on this article

                scite_

                Similar content192

                Cited by3

                Most referenced authors1,147