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      A reassessment of the genus Oligoneuriopsis Crass, 1947 (Ephemeroptera, Oligoneuriidae, Oligoneuriellini)

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          Abstract

          The distinction between the two closely related genera Oligoneuriella Ulmer, 1924 and Oligoneuriopsis Crass, 1947 has been much debated. First described from South Africa, Oligoneuriopsis seemed to be a clearly defined genus. However, as the known distribution of the genus widened and knowledge on it expanded, species delimitation based on morphology became less clear due to overlap in several apparently defining morphological characters, especially in the nymphs. This work attempts to reassess Oligoneuriopsis morphology in the context of all currently known species. The type species, Oligoneuriopsis lawrencei Crass, 1947 is redescribed at the imaginal and nymphal stages and a neotype is designated. The putative nymph of Oligoneuriopsis dobbsi (Eaton, 1912) is described based on material collected around Mt Elgon (Kenya). The adults of Oligoneuriella orontensis Koch, 1980 are described for the first time and the species is transferred to the genus Oligoneuriopsis ( Oligoneuriopsis orontensis comb. nov.). Egg structure is also described for the first time for the species Oligoneuriopsis skhounate and O. orontensis . Some biogeographical considerations are also given. It is likely that more species will still be discovered, especially in Africa.

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          MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms.

          The Molecular Evolutionary Genetics Analysis (Mega) software implements many analytical methods and tools for phylogenomics and phylomedicine. Here, we report a transformation of Mega to enable cross-platform use on Microsoft Windows and Linux operating systems. Mega X does not require virtualization or emulation software and provides a uniform user experience across platforms. Mega X has additionally been upgraded to use multiple computing cores for many molecular evolutionary analyses. Mega X is available in two interfaces (graphical and command line) and can be downloaded from www.megasoftware.net free of charge.
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            RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

            Motivation: Phylogenies are increasingly used in all fields of medical and biological research. Moreover, because of the next-generation sequencing revolution, datasets used for conducting phylogenetic analyses grow at an unprecedented pace. RAxML (Randomized Axelerated Maximum Likelihood) is a popular program for phylogenetic analyses of large datasets under maximum likelihood. Since the last RAxML paper in 2006, it has been continuously maintained and extended to accommodate the increasingly growing input datasets and to serve the needs of the user community. Results: I present some of the most notable new features and extensions of RAxML, such as a substantial extension of substitution models and supported data types, the introduction of SSE3, AVX and AVX2 vector intrinsics, techniques for reducing the memory requirements of the code and a plethora of operations for conducting post-analyses on sets of trees. In addition, an up-to-date 50-page user manual covering all new RAxML options is available. Availability and implementation: The code is available under GNU GPL at https://github.com/stamatak/standard-RAxML. Contact: alexandros.stamatakis@h-its.org Supplementary information: Supplementary data are available at Bioinformatics online.
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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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                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
                05 November 2020
                : 985
                : 15-47
                Affiliations
                [1 ] Department of Freshwater Invertebrates, Albany Museum, Somerset Street, Makhanda (Grahamstown), 6139, South Africa
                [2 ] Department of Zoology and Entomology, Rhodes University, P.O. Box 94, Makhanda (Grahamstown), 6140, South Africa
                [3 ] Unit of Hydrobiology, Laboratory of Environmental Biomonitoring, Faculty of sciences of Bizerta, 7021, Jarzouna, Tunisia
                [4 ] Musée cantonal de zoologie, Palais de Rumine, Place de la Riponne 6, CH-1014, Lausanne, Switzerland
                [5 ] Department of Ecology and Evolution, Biophore, University of Lausanne, CH-1015, Lausanne, Switzerland
                [6 ] School of Zoology, Tel Aviv University, Tel Aviv 6997801, Israel
                [7 ] The Steinhardt Museum of Natural History, Tel Aviv University, Tel Aviv 6997801, Israel
                Author notes
                Corresponding author: Michel Sartori ( michel.sartori@ 123456vd.ch )

                Academic editor: B. Price

                Author information
                https://orcid.org/0000-0002-1029-9275
                https://orcid.org/0000-0001-6440-0116
                https://orcid.org/0000-0003-3397-3397
                Article
                56649
                10.3897/zookeys.985.56649
                7661481
                d4d1d9fb-51f7-4c66-880b-d72b785e0130
                Helen M. Barber-James, Sonia Zrelli, Zohar Yanai, Michel Sartori

                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
                : 17 July 2020
                : 23 September 2020
                Categories
                Research Article
                Ephemeroptera
                Biogeography
                Faunistics & Distribution
                Molecular systematics
                Phylogeny
                Taxonomy
                Neogene
                East Africa
                Iran
                Iraq
                Israel
                Jordan
                Lebanon
                Middle East
                North Africa
                Southern Africa
                Syria
                Turkey

                Animal science & Zoology
                barcoding,generic concept,imaginal description,mayfly,neotype designation,new combination,nymphal description

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