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      Phylogenomic analysis of trichomycterid catfishes (Teleostei: Siluriformes) inferred from ultraconserved elements

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          Abstract

          The family Trichomycteridae is one of the most diverse groups of freshwater catfishes in South and Central America with eight subfamilies, 41 genera and more than 300 valid species. Its members are widely distributed throughout South America, reaching Costa Rica in Central America and are recognized by extraordinary anatomical specializations and trophic diversity. In order to assess the phylogenetic relationships of Trichomycteridae, we collected sequence data from ultraconserved elements (UCEs) of the genome from 141 specimens of Trichomycteridae and 12 outgroup species. We used a concatenated matrix to assess the phylogenetic relationships by Bayesian inference (BI) and maximum likelihood (ML) searches and a coalescent analysis of species trees. The results show a highly resolved phylogeny with broad agreement among the three distinct analyses, providing overwhelming support for the monophyletic status of subfamily Trichomycterinae including Ituglanis and Scleronema. Previous relationship hypotheses among subfamilies are strongly corroborated, such as the sister relationship between Copionodontinae and Trichogeninae forming a sister clade to the remaining trichomycterids and the intrafamilial clade TSVSG (Tridentinae-Stegophilinae-Vandelliinae-Sarcoglanidinae-Glanapteryginae). Monophyly of Glanapteryginae and Sarcoglanidinae was not supported and the enigmatic Potamoglanis is placed outside Tridentinae.

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          Gene Trees in Species Trees

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            ASTRAL: genome-scale coalescent-based species tree estimation

            Motivation: Species trees provide insight into basic biology, including the mechanisms of evolution and how it modifies biomolecular function and structure, biodiversity and co-evolution between genes and species. Yet, gene trees often differ from species trees, creating challenges to species tree estimation. One of the most frequent causes for conflicting topologies between gene trees and species trees is incomplete lineage sorting (ILS), which is modelled by the multi-species coalescent. While many methods have been developed to estimate species trees from multiple genes, some which have statistical guarantees under the multi-species coalescent model, existing methods are too computationally intensive for use with genome-scale analyses or have been shown to have poor accuracy under some realistic conditions. Results: We present ASTRAL, a fast method for estimating species trees from multiple genes. ASTRAL is statistically consistent, can run on datasets with thousands of genes and has outstanding accuracy—improving on MP-EST and the population tree from BUCKy, two statistically consistent leading coalescent-based methods. ASTRAL is often more accurate than concatenation using maximum likelihood, except when ILS levels are low or there are too few gene trees. Availability and implementation: ASTRAL is available in open source form at https://github.com/smirarab/ASTRAL/. Datasets studied in this article are available at http://www.cs.utexas.edu/users/phylo/datasets/astral. Contact: warnow@illinois.edu Supplementary information: Supplementary data are available at Bioinformatics online.
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              Distinguishing homologous from analogous proteins.

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                Author and article information

                Contributors
                luzeocho@gmail.com
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 February 2020
                14 February 2020
                2020
                : 10
                : 2697
                Affiliations
                [1 ]ISNI 0000 0001 2188 478X, GRID grid.410543.7, Departamento de Morfologia, Instituto de Biociências, , Universidade Estadual Paulista, ; Botucatu, SP Brazil
                [2 ]ISNI 0000 0004 1937 0722, GRID grid.11899.38, Museu de Zoologia da Universidade de São Paulo, ; São Paulo, SP Brazil
                [3 ]ISNI 0000 0001 2237 7528, GRID grid.466790.a, Instituto de Investigación de Recursos Biológicos Alexander von Humboldt, Villa de Leyva, ; Boyacá, Colombia
                [4 ]ISNI 0000 0001 2181 3113, GRID grid.166341.7, The Academy of Natural Sciences of Drexel University, ; Philadelphia, PA USA
                [5 ]ISNI 0000 0000 9632 6718, GRID grid.19006.3e, Department of Ecology and Evolutionary Biology, , University of California, ; Los Angeles, CA USA
                Author information
                http://orcid.org/0000-0003-4205-8510
                http://orcid.org/0000-0002-8680-7942
                Article
                59519
                10.1038/s41598-020-59519-w
                7021825
                32060350
                6739936d-ac39-4a06-910f-03921ef0b7a5
                © The Author(s) 2020

                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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 17 April 2019
                : 28 January 2020
                Funding
                Funded by: FAPESP pro: 2014/26508-3
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Uncategorized
                taxonomy,ichthyology
                Uncategorized
                taxonomy, ichthyology

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