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      Whole genome sequencing and phylogenetic analysis of strains of the agent of Lyme disease Borrelia burgdorferi from Canadian emergence zones

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          Abstract

          Lyme disease is emerging in southern Canada due to range expansion of the tick vector, followed by invasion of the agent of Lyme disease Borrelia burgdorferi sensu stricto. Strain diversity, as determined by Multi Locus Sequence Typing, occurs in this zone of emergence, and this may have its origins in adaptation to ecological niches, and have phenotypic consequences for pathogenicity and serological test performance. Sixty-four unique strains were cultured from ticks collected in southern Canada and the genomes sequenced using the Illumina MiSeq platform. A maximum likelihood phylogenetic tree of the chromosome revealed two large clades with multiple subclades. Consistent with previous studies on this species, the clades were not geographically defined, and some Canadian strains were highly divergent from previously sequenced US strains. There was evidence for recombination in the chromosome but this did not affect the phylogeny. Analysis of chromosomal genes indicated that these are under intense purifying selection. Phylogenies of the accessory genome and chromosome were congruent. Therefore strain differences identified in the phylogeny of chromosomal genes likely act as a proxy for genetic determinants of phenotypic differences amongst strains that are harboured in the accessory genome. Further studies on health implications of strain diversity are needed.

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          Inference from Iterative Simulation Using Multiple Sequences

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            ART: a next-generation sequencing read simulator.

            ART is a set of simulation tools that generate synthetic next-generation sequencing reads. This functionality is essential for testing and benchmarking tools for next-generation sequencing data analysis including read alignment, de novo assembly and genetic variation discovery. ART generates simulated sequencing reads by emulating the sequencing process with built-in, technology-specific read error models and base quality value profiles parameterized empirically in large sequencing datasets. We currently support all three major commercial next-generation sequencing platforms: Roche's 454, Illumina's Solexa and Applied Biosystems' SOLiD. ART also allows the flexibility to use customized read error model parameters and quality profiles. Both source and binary software packages are available at http://www.niehs.nih.gov/research/resources/software/art.
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              Lyme disease-a tick-borne spirochetosis?

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                Author and article information

                Contributors
                nicholas.ogden@canada.ca
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                12 July 2018
                12 July 2018
                2018
                : 8
                : 10552
                Affiliations
                [1 ]ISNI 0000 0000 9879 0901, GRID grid.413309.c, Genomics Core Facility, National Microbiology Laboratory, , Public Health Agency of Canada, Canadian Science Centre for Human and Animal Health, ; 1015 Arlington St., Winnipeg, Manitoba Canada
                [2 ]ISNI 0000 0001 0805 4386, GRID grid.415368.d, Zoonotic Diseases and Special Pathogens Division, , National Microbiology Laboratory, Public Health Agency of Canada, ; Winnipeg, Manitoba Canada
                [3 ]ISNI 0000 0001 2162 1699, GRID grid.7340.0, Department of Biology and Biochemistry, , University of Bath, Claverton Down, ; Bath, United Kingdom
                [4 ]ISNI 0000 0004 1936 973X, GRID grid.5252.0, Ludwig Maximilians Universität München, Department for Infectious Diseases and Zoonoses, ; Munich, Germany
                [5 ]National Reference Centre for Borrelia, Oberschleissheim and Bavarian Health and Food Safety Authority, Oberschleissheim, Germany
                [6 ]ISNI 0000 0001 0805 4386, GRID grid.415368.d, Public Health Risk Sciences Division, National Microbiology Laboratory, Public Health Agency of Canada, Saint-Hyacinthe, ; Québec, J2S 2M2 Canada
                Author information
                http://orcid.org/0000-0003-1446-6744
                Article
                28908
                10.1038/s41598-018-28908-7
                6043495
                30002414
                b9b29f0f-7423-4300-b0db-84061a5df204
                © The Author(s) 2018

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 March 2018
                : 27 June 2018
                Funding
                Funded by: Public Health Agency of Canada
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