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      New data on Garra makiensis (Cyprinidae, Labeoinae) from the Awash River (Ethiopia) with remarks on its relationships to congeners on the Arabian Peninsula

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          Abstract

          On the African continent, the genus Garra consists of several species often insufficiently separated from each other by diagnostic characters. Herein, a detailed morphological redescription of Garra makiensis from the Awash River drainage is presented, together with additional data on the type specimens of G. makiensis and G. rothschildi . Mitochondrial CO1 sequence data are also provided, including the historic paralectotype of G. makiensis , with a comparison to Garra species from Africa and the Middle East. Based on these sequences, G. makiensis clusters outside the group of African congeners and is a sister lineage to species from the south-east of the Arabian Peninsula. Although morphologically variable, G. makiensis is characterised by having a single unbranched pectoral-fin ray, a short distance between vent and anal-fin origin (7.3–19.7 % of pelvic – anal distance), chest and belly covered with scales, and a prominent axillary scale at base of pelvic fin (18.8–35.5 % of pelvic-fin length).

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          MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets.

          We present the latest version of the Molecular Evolutionary Genetics Analysis (Mega) software, which contains many sophisticated methods and tools for phylogenomics and phylomedicine. In this major upgrade, Mega has been optimized for use on 64-bit computing systems for analyzing larger datasets. Researchers can now explore and analyze tens of thousands of sequences in Mega The new version also provides an advanced wizard for building timetrees and includes a new functionality to automatically predict gene duplication events in gene family trees. The 64-bit Mega is made available in two interfaces: graphical and command line. The graphical user interface (GUI) is a native Microsoft Windows application that can also be used on Mac OS X. The command line Mega is available as native applications for Windows, Linux, and Mac OS X. They are intended for use in high-throughput and scripted analysis. Both versions are available from www.megasoftware.net free of charge.
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            MrBayes 3.2: Efficient Bayesian Phylogenetic Inference and Model Choice Across a Large Model Space

            Since its introduction in 2001, MrBayes has grown in popularity as a software package for Bayesian phylogenetic inference using Markov chain Monte Carlo (MCMC) methods. With this note, we announce the release of version 3.2, a major upgrade to the latest official release presented in 2003. The new version provides convergence diagnostics and allows multiple analyses to be run in parallel with convergence progress monitored on the fly. The introduction of new proposals and automatic optimization of tuning parameters has improved convergence for many problems. The new version also sports significantly faster likelihood calculations through streaming single-instruction-multiple-data extensions (SSE) and support of the BEAGLE library, allowing likelihood calculations to be delegated to graphics processing units (GPUs) on compatible hardware. Speedup factors range from around 2 with SSE code to more than 50 with BEAGLE for codon problems. Checkpointing across all models allows long runs to be completed even when an analysis is prematurely terminated. New models include relaxed clocks, dating, model averaging across time-reversible substitution models, and support for hard, negative, and partial (backbone) tree constraints. Inference of species trees from gene trees is supported by full incorporation of the Bayesian estimation of species trees (BEST) algorithms. Marginal model likelihoods for Bayes factor tests can be estimated accurately across the entire model space using the stepping stone method. The new version provides more output options than previously, including samples of ancestral states, site rates, site d N /d S rations, branch rates, and node dates. A wide range of statistics on tree parameters can also be output for visualization in FigTree and compatible software.
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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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                Author and article information

                Contributors
                Journal
                Zookeys
                Zookeys
                2
                urn:lsid:arphahub.com:pub:45048D35-BB1D-5CE8-9668-537E44BD4C7E
                urn:lsid:zoobank.org:pub:91BD42D4-90F1-4B45-9350-EEF175B1727A
                ZooKeys
                Pensoft Publishers
                1313-2989
                1313-2970
                2020
                04 November 2020
                : 984
                : 133-163
                Affiliations
                [1 ] University of Graz, Institute of Biology, Universitätsplatz 2, A-8010 Graz, Austria University of Graz Graz Austria
                [2 ] Department of Ecology, Faculty of Science, Charles University, Viničná 7, CZ-12844 Prague 2, Czech Republic Charles University Prague Czech Republic
                [3 ] University of Natural Resources and Life Sciences, Institute of Hydrobiology and Aquatic Ecosystem Management (IHG), Vienna, Gregor-Mendel Straße 33, A-1180 Vienna, Austria University of Natural Resources and Life Sciences Vienna Austria
                [4 ] Natural History Museum Vienna, Burgring 7, A-1010 Vienna, Austria Natural History Museum Vienna Austria
                [5 ] National Fisheries and Aquatic Life Research Centre, P.O. Box: 64, Sebeta, Ethiopia National Fisheries and Aquatic Life Research Centre Sebeta Ethiopia
                Author notes
                Corresponding author: Gernot K. Englmaier ( gernotenglmaier@ 123456gmx.at)

                Academic editor: M. E. Bichuette

                Author information
                https://orcid.org/0000-0002-9746-4500
                https://orcid.org/0000-0001-5905-3818
                Article
                55982
                10.3897/zookeys.984.55982
                7658184
                33223871
                2efdb520-9e3f-4d04-a9f6-79fce9fe0d17
                Gernot K. Englmaier, Nuria Viñuela Rodríguez, Herwig Waidbacher, Anja Palandačić, Genanaw Tesfaye, Wolfgang Gessl, Paul Meulenbroek

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 29 June 2020
                : 14 September 2020
                Funding
                LARIMA – Sustainable High LAnd Rivers MAnagement in Ethiopia – project (Project Number 106) funded by the Austrian Partnership Programme in Higher Education and Research for Development (APPEAR) of the Austrian Development Cooperation (ADC) and the Austrian Agency for International Cooperation in Education and Research (OeAD). PhD grant from the Doctoral Academy Graz, Ecology and Evolution in Changing Environments (EECE), University Graz.
                Categories
                Research Article
                Actinopterygii
                Animalia
                Chordata
                Cyprinidae
                Cypriniformes
                Osteichthyes
                Pisces
                Vertebrata
                Systematics
                Taxonomy
                Cenozoic
                Africa
                East Africa
                Ethiopia

                Animal science & Zoology
                biogeography,biodiversity,co1 sequence data,east africa,freshwater fish,tubercles

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