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      Paramyxo- and Coronaviruses in Rwandan Bats

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          Abstract

          A high diversity of corona- and paramyxoviruses have been detected in different bat species at study sites worldwide, including Africa, however no biosurveillance studies from Rwanda have been reported. In this study, samples from bats collected from caves in Ruhengeri, Rwanda, were tested for the presence of corona- and paramyxoviral RNA using reverse transcription PCR assays. Positive results were further characterized by DNA sequencing and phylogenetic analysis. In addition to morphological identification of bat species, we also did molecular confirmation of species identities, contributing to the known genetic database available for African bat species. We detected a novel Betacoronavirus in two Geoffroy’s horseshoe bats ( Rhinolophus clivosus) bats. We also detected several different paramyxoviral species from various insectivorous bats. One of these viral species was found to be homologous to the genomes of viruses belonging to the Jeilongvirus genus. Additionally, a Henipavirus-related sequence was detected in an Egyptian rousette fruit bat ( Rousettus aegyptiacus). These results expand on the known diversity of corona- and paramyxoviruses and their geographical distribution 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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            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.
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              Origin and evolution of pathogenic coronaviruses

              Severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV) are two highly transmissible and pathogenic viruses that emerged in humans at the beginning of the 21st century. Both viruses likely originated in bats, and genetically diverse coronaviruses that are related to SARS-CoV and MERS-CoV were discovered in bats worldwide. In this Review, we summarize the current knowledge on the origin and evolution of these two pathogenic coronaviruses and discuss their receptor usage; we also highlight the diversity and potential of spillover of bat-borne coronaviruses, as evidenced by the recent spillover of swine acute diarrhoea syndrome coronavirus (SADS-CoV) to pigs.
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                Author and article information

                Journal
                Trop Med Infect Dis
                Trop Med Infect Dis
                tropicalmed
                Tropical Medicine and Infectious Disease
                MDPI
                2414-6366
                02 July 2019
                September 2019
                : 4
                : 3
                : 99
                Affiliations
                [1 ]Centre for Viral Zoonoses, Department of Medical Virology, Faculty of Health Sciences, University of Pretoria, Pretoria, Gauteng 0001, South Africa
                [2 ]Centre for Emerging Zoonotic and Parasitic diseases, National Institute for Communicable Diseases, National Health laboratory Services, Sandringham, Johannesburg 2131, South Africa
                [3 ]Rwanda Development Board, Department of tourism and Conservation, P.O Box 6239, Kigali, Rwanda
                [4 ]Centre for Viral Zoonoses, Department of Biochemistry, Genetics and Microbiology, Faculty of Natural and Agricultural Sciences, University of Pretoria, Pretoria, Gauteng 0001, South Africa
                [5 ]Mountain Gorilla Veterinary Project, P.O Box 115, Musanze, Rwanda
                Author notes
                [* ]Correspondence: wanda.markotter@ 123456up.ac.za ; Tel.: +27-319-2353
                Author information
                https://orcid.org/0000-0002-7550-0080
                https://orcid.org/0000-0003-2862-7983
                https://orcid.org/0000-0002-2051-467X
                https://orcid.org/0000-0001-9286-1040
                https://orcid.org/0000-0001-8776-7519
                https://orcid.org/0000-0001-9471-2890
                Article
                tropicalmed-04-00099
                10.3390/tropicalmed4030099
                6789848
                31269631
                c62a4095-7189-4360-ab6a-8ea1e3589748
                © 2019 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
                : 31 May 2019
                : 21 June 2019
                Categories
                Article

                paramyxovirus,coronavirus,rwanda,bat,surveillance,caves,barcoding,henipavirus,jeilongvirus

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