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      Cryptic diversity and diversification processes in three cis-Andean Rhamdia species (Siluriformes: Heptapteridae) revealed by DNA barcoding

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          Abstract

          The wide distribution of the Neotropical freshwater catfish Rhamdia offers an excellent opportunity to investigate the historical processes responsible for modeling South America’s hydrogeological structure. We used sequences from cis-Andean and Mesoamerican Rhamdia species to reconstruct and estimate divergence times among cis-Andean lineages, correlating the results with known geological events. Species delimitation methods based on distance (DNA barcoding and BIN) and coalescence (GMYC) approaches identified nine well-supported lineages from the cis-Andean region from sequences available in the BOLD dataset. The cis-Andean Rhamdia lineages diversification process began in Eocene and represented the split between cis-Andean and Mesoamerican clades. The cis-Andean clade contains two principal groups: Northwest clade (MOTUs from Amazon, Essequibo, Paraguay, and Itapecuru basins) and Southeast clade (Eastern Brazilian shield basins (Paraná, Uruguay, Iguaçu, and São Francisco) plus eastern coastal basins). The diversification of the cis-Andean Rhamdia lineages results from vicariance and geodispersion events, which played a key role in the current intricate distribution pattern of the Rhamdia lineages. The wide geographical distribution and large size of the specimens make it attractive to cultivate in different countries of the Neotropical region. The lineages delimitation minimizes identification mistakes, unintentional crossings by aquaculture, and reduces natural stocks contamination.

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          MEGA6: Molecular Evolutionary Genetics Analysis version 6.0.

          We announce the release of an advanced version of the Molecular Evolutionary Genetics Analysis (MEGA) software, which currently contains facilities for building sequence alignments, inferring phylogenetic histories, and conducting molecular evolutionary analysis. In version 6.0, MEGA now enables the inference of timetrees, as it implements the RelTime method for estimating divergence times for all branching points in a phylogeny. A new Timetree Wizard in MEGA6 facilitates this timetree inference by providing a graphical user interface (GUI) to specify the phylogeny and calibration constraints step-by-step. This version also contains enhanced algorithms to search for the optimal trees under evolutionary criteria and implements a more advanced memory management that can double the size of sequence data sets to which MEGA can be applied. Both GUI and command-line versions of MEGA6 can be downloaded from www.megasoftware.net free of charge.
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            Geneious Basic: An integrated and extendable desktop software platform for the organization and analysis of sequence data

            Summary: The two main functions of bioinformatics are the organization and analysis of biological data using computational resources. Geneious Basic has been designed to be an easy-to-use and flexible desktop software application framework for the organization and analysis of biological data, with a focus on molecular sequences and related data types. It integrates numerous industry-standard discovery analysis tools, with interactive visualizations to generate publication-ready images. One key contribution to researchers in the life sciences is the Geneious public application programming interface (API) that affords the ability to leverage the existing framework of the Geneious Basic software platform for virtually unlimited extension and customization. The result is an increase in the speed and quality of development of computation tools for the life sciences, due to the functionality and graphical user interface available to the developer through the public API. Geneious Basic represents an ideal platform for the bioinformatics community to leverage existing components and to integrate their own specific requirements for the discovery, analysis and visualization of biological data. Availability and implementation: Binaries and public API freely available for download at http://www.geneious.com/basic, implemented in Java and supported on Linux, Apple OSX and MS Windows. The software is also available from the Bio-Linux package repository at http://nebc.nerc.ac.uk/news/geneiousonbl. Contact: peter@biomatters.com
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              jModelTest 2: more models, new heuristics and parallel computing.

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                Author and article information

                Journal
                Genet Mol Biol
                Genet Mol Biol
                gmb
                Genetics and Molecular Biology
                Sociedade Brasileira de Genética
                1415-4757
                1678-4685
                12 July 2021
                2021
                : 44
                : 3
                : e20200470
                Affiliations
                [1 ]Universidade Federal de Santa Catarina, Departamento de Aquicultura, Lagoa do Peri, Laboratório de Biologia e Cultivo de Peixes de Água Doce, Florianópolis, SC, Brazil.
                [2 ]Universidade Estadual de Londrina, Departamento de Biologia Animal e Vegetal, Centro de Ciências Biológicas, Londrina, PR, Brazil.
                [3 ]Universidade Federal de São Carlos, Departamento de Genética e Evolução, São Carlos, SP, Brazil.
                Author notes
                [*]

                These authors contributed equally to the article.

                Conflict of Interest: The authors declare that there is no conflict of interest that could be perceived as prejudicial to the impartiality of the reported research.

                Author contributions: RJ, ZFE and MCB conceptualized the study; RJ and SOA curated the data; RJ, SBMS and MCB performed the formal analysis; ZFE supervised the study and provided resources; RJ, SOA and MCB wrote the original draft of the manuscript; all authors participated in the revision and editing of the manuscript and approved the final version.

                [Send correspondence to ] Josiane Ribolli. Universidade Federal de Santa Catarina, Departamento de Aquicultura, Lagoa do Peri, Laboratório de Biologia e Cultivo de Peixes de Água Doce, Rodovia SC 406-Km3, 3532, CEP 88066-260, Lagoa do Peri, Florianópolis, SC, Brazil. E-mail: josianeribolli@ 123456gmail.com .

                Associate Editor:Fabrício Rodrigues dos Santos

                Author information
                http://orcid.org/0000-0002-5553-9973
                http://orcid.org/0000-0001-5195-5577
                Article
                00601
                10.1590/1678-4685-GMB-2020-0470
                8276235
                34254973
                7ea892cc-2178-4a2d-a71b-7ca4d3c40f20

                This is an open-access article distributed under the terms of the Creative Commons Attribution License

                History
                : 21 December 2020
                : 07 April 2021
                Page count
                Figures: 2, Tables: 1, Equations: 0, References: 69
                Categories
                Evolutionary Genetics

                Molecular biology
                aquaculture,freshwater fishes,marine transgression/regression,phylogeography,underestimated diversity

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