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      New Insights into Flavivirus Evolution, Taxonomy and Biogeographic History, Extended by Analysis of Canonical and Alternative Coding Sequences

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          Abstract

          To generate the most diverse phylogenetic dataset for the flaviviruses to date, we determined the genomic sequences and phylogenetic relationships of 14 flaviviruses, of which 10 are primarily associated with Culex spp. mosquitoes. We analyze these data, in conjunction with a comprehensive collection of flavivirus genomes, to characterize flavivirus evolutionary and biogeographic history in unprecedented detail and breadth. Based on the presumed introduction of yellow fever virus into the Americas via the transatlantic slave trade, we extrapolated a timescale for a relevant subset of flaviviruses whose evolutionary history, shows that different Culex-spp. associated flaviviruses have been introduced from the Old World to the New World on at least five separate occasions, with 2 different sets of factors likely to have contributed to the dispersal of the different viruses. We also discuss the significance of programmed ribosomal frameshifting in a central region of the polyprotein open reading frame in some mosquito-associated flaviviruses.

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          Most cited references74

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          MRBAYES: Bayesian inference of phylogenetic trees.

          The program MRBAYES performs Bayesian inference of phylogeny using a variant of Markov chain Monte Carlo. MRBAYES, including the source code, documentation, sample data files, and an executable, is available at http://brahms.biology.rochester.edu/software.html.
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            ProtTest: selection of best-fit models of protein evolution.

            Using an appropriate model of amino acid replacement is very important for the study of protein evolution and phylogenetic inference. We have built a tool for the selection of the best-fit model of evolution, among a set of candidate models, for a given protein sequence alignment. ProtTest is available under the GNU license from http://darwin.uvigo.es
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              An integrated semiconductor device enabling non-optical genome sequencing.

              The seminal importance of DNA sequencing to the life sciences, biotechnology and medicine has driven the search for more scalable and lower-cost solutions. Here we describe a DNA sequencing technology in which scalable, low-cost semiconductor manufacturing techniques are used to make an integrated circuit able to directly perform non-optical DNA sequencing of genomes. Sequence data are obtained by directly sensing the ions produced by template-directed DNA polymerase synthesis using all-natural nucleotides on this massively parallel semiconductor-sensing device or ion chip. The ion chip contains ion-sensitive, field-effect transistor-based sensors in perfect register with 1.2 million wells, which provide confinement and allow parallel, simultaneous detection of independent sequencing reactions. Use of the most widely used technology for constructing integrated circuits, the complementary metal-oxide semiconductor (CMOS) process, allows for low-cost, large-scale production and scaling of the device to higher densities and larger array sizes. We show the performance of the system by sequencing three bacterial genomes, its robustness and scalability by producing ion chips with up to 10 times as many sensors and sequencing a human genome.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                26 February 2015
                2015
                : 10
                : 2
                : e0117849
                Affiliations
                [1 ]Aix Marseille Université, IRD French Institute of Research for Development, EHESP French School of Public Health, EPV UMR_D 190 Emergence des Pathologies Virales, Marseille, France
                [2 ]Department of Life Sciences, Natural History Museum, Cromwell Road, London SW7 5BD, United Kingdom
                [3 ]Department of Microbiology and Immunology, Rega Institute, KU Leuven, Minderbroedersstraat 10, 3000 Leuven, Belgium
                [4 ]Institute for Human Infections and Immunity and Department of Pathology, University of Texas Medical Branch, Galveston, TX 77555, United States of America
                [5 ]Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh, Gifford, Wallingford, Oxfordshire, OX10, United Kingdom
                [6 ]Division of Virology, Department of Pathology, University of Cambridge, Cambridge CB2 1QP, United Kingdom
                Utah State University, UNITED STATES
                Author notes

                Competing Interests: Naomi Forrester is a PLOS ONE Editorial Board Member. This does not alter the authors’ adherence to all the PLOS ONE policies on sharing data and materials.

                Conceived and designed the experiments: GM AN SC PL AEF. Performed the experiments: GM NLF MK SC PL AEF. Analyzed the data: GM AN SC PL AEF EAG XDL. Contributed reagents/materials/analysis tools: GM RNC XDL. Wrote the paper: GM SC NLF MK AEF PL EAG XDL.

                Article
                PONE-D-14-29823
                10.1371/journal.pone.0117849
                4342338
                25719412
                6a7dfcf4-1d7b-4e42-aff5-a1fce7bb480e
                Copyright @ 2015

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

                History
                : 3 July 2014
                : 2 January 2015
                Page count
                Figures: 6, Tables: 1, Pages: 30
                Funding
                AEF is supported by Wellcome Trust grant 088789. This work was supported by Aix-Marseille University, IRD, EHESP, the project European Virus Archive (under EU grant agreement n° 228292), the European Union Seventh Framework Programme - projects SILVER and PREDEMICS, under grant agreements 260644 and 278433 respectively. This study was also partially funded by EU grant FP7-261504 EDENext and is catalogued by the EDENext Steering Committee as EDENext299 ( http://www.edenext.eu). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Custom metadata
                All 10 complete genome sequences are available from the GenBank database (accession numbers KF917535 to KF917541, KJ469370 to KJ469372). 4 further complete genome sequences are already available from the GenBank database (accession numbers EU082199, EU082200, JX477685, JX477686).

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