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      Discovery and Characterization of Novel Bat Coronavirus Lineages from Kazakhstan

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          Abstract

          Coronaviruses are positive-stranded RNA viruses that infect a variety of hosts, resulting in a range of symptoms from gastrointestinal illness to respiratory distress. Bats are reservoirs for a high diversity of coronaviruses, and focused surveillance detected several strains genetically similar to MERS-coronavirus, SARS-coronavirus, and the human coronaviruses 229E and NL63. The bat fauna of central Asia, which link China to eastern Europe, are relatively less studied than other regions of the world. Kazakhstan is the world’s ninth largest country; however, little is understood about the prevalence and diversity of bat-borne viruses. In this study, bat guano was collected from bat caves in three different sites of southern Kazakhstan that tested positive for coronaviruses. Our phylogenetic reconstruction indicates these are novel bat coronaviruses that belong to the genus Alphacoronavirus. In addition, two distinct lineages of Kazakhstan bat coronaviruses were detected. Both lineages are closely related to bat coronaviruses from China, France, Spain, and South Africa, suggesting that co-circulation of coronaviruses is common in multiple bat species with overlapping geographical distributions. Our study highlights the need for collaborative efforts in understudied countries to increase integrated surveillance capabilities toward better monitoring and detection of infectious diseases.

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          Most cited references21

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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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            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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              Bats are natural reservoirs of SARS-like coronaviruses.

              Severe acute respiratory syndrome (SARS) emerged in 2002 to 2003 in southern China. The origin of its etiological agent, the SARS coronavirus (SARS-CoV), remains elusive. Here we report that species of bats are a natural host of coronaviruses closely related to those responsible for the SARS outbreak. These viruses, termed SARS-like coronaviruses (SL-CoVs), display greater genetic variation than SARS-CoV isolated from humans or from civets. The human and civet isolates of SARS-CoV nestle phylogenetically within the spectrum of SL-CoVs, indicating that the virus responsible for the SARS outbreak was a member of this coronavirus group.
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                Author and article information

                Journal
                Viruses
                Viruses
                viruses
                Viruses
                MDPI
                1999-4915
                17 April 2019
                April 2019
                : 11
                : 4
                : 356
                Affiliations
                [1 ]Programme in Emerging Infectious Diseases, Duke-NUS Medical School, Singapore 169857, Singapore; yvonne.su@ 123456duke-nus.edu.sg (Y.C.F.S.); gavin.smith@ 123456duke-nus.edu.sg (G.J.D.S.)
                [2 ]Research Institute for Biological Safety Problems, Gvardeiskiy, Kordaiskiy rayon, Zhambylskaya oblast 080409, Republic of Kazakhstan; aslan_kerim@ 123456mail.ru (A.A.K.); vstrochkov@ 123456gmail.com (V.M.S.); sultankul70@ 123456mail.ru (K.T.S.); kopeyev85@ 123456mail.ru (S.K.K.)
                [3 ]SingHealth Duke-NUS Global Health Institute, SingHealth Duke-NUS Academic Medical Centre, Singapore 168753, Singapore
                [4 ]Duke Global Health Institute, Duke University, Durham, NC 27710, USA
                Author notes
                Author information
                https://orcid.org/0000-0003-4250-6459
                https://orcid.org/0000-0003-3399-2942
                https://orcid.org/0000-0002-5882-4964
                Article
                viruses-11-00356
                10.3390/v11040356
                6521082
                30999711
                7a739ea0-1544-4f66-8899-2332e3a98ec7
                © 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 January 2019
                : 09 April 2019
                Categories
                Brief Report

                Microbiology & Virology
                kazakhstan,myotis blythii,hypsugo savii,coronavirus,virus discovery,phylogeny
                Microbiology & Virology
                kazakhstan, myotis blythii, hypsugo savii, coronavirus, virus discovery, phylogeny

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