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      Comparative pan-genomic analyses of Orientia tsutsugamushi reveal an exceptional model of bacterial evolution driving genomic diversity

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          Abstract

          Orientia tsutsugamushi, formerly Rickettsia tsutsugamushi, is an obligate intracellular pathogen that causes scrub typhus, an underdiagnosed acute febrile disease with high morbidity. Scrub typhus is transmitted by the larval stage (chigger) of Leptotrombidium mites and is irregularly distributed across endemic regions of Asia, Australia and islands of the western Pacific Ocean. Previous work to understand population genetics in O. tsutsugamushi has been based on sub-genomic sampling methods and whole-genome characterization of two genomes. In this study, we compared 40 genomes from geographically dispersed areas and confirmed patterns of extensive homologous recombination likely driven by transposons, conjugative elements and repetitive sequences. High rates of lateral gene transfer (LGT) among O. tsutsugamushi genomes appear to have effectively eliminated a detectable clonal frame, but not our ability to infer evolutionary relationships and phylogeographical clustering. Pan-genomic comparisons using 31 082 high-quality bacterial genomes from 253 species suggests that genomic duplication in O. tsutsugamushi is almost unparalleled. Unlike other highly recombinant species where the uptake of exogenous DNA largely drives genomic diversity, the pan-genome of O. tsutsugamushi is driven by duplication and divergence. Extensive gene innovation by duplication is most commonly attributed to plants and animals and, in contrast with LGT, is thought to be only a minor evolutionary mechanism for bacteria. The near unprecedented evolutionary characteristics of O. tsutsugamushi, coupled with extensive intra-specific LGT, expand our present understanding of rapid bacterial evolutionary adaptive mechanisms.

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          Most cited references60

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          Genome analysis of multiple pathogenic isolates of Streptococcus agalactiae: implications for the microbial "pan-genome".

          The development of efficient and inexpensive genome sequencing methods has revolutionized the study of human bacterial pathogens and improved vaccine design. Unfortunately, the sequence of a single genome does not reflect how genetic variability drives pathogenesis within a bacterial species and also limits genome-wide screens for vaccine candidates or for antimicrobial targets. We have generated the genomic sequence of six strains representing the five major disease-causing serotypes of Streptococcus agalactiae, the main cause of neonatal infection in humans. Analysis of these genomes and those available in databases showed that the S. agalactiae species can be described by a pan-genome consisting of a core genome shared by all isolates, accounting for approximately 80% of any single genome, plus a dispensable genome consisting of partially shared and strain-specific genes. Mathematical extrapolation of the data suggests that the gene reservoir available for inclusion in the S. agalactiae pan-genome is vast and that unique genes will continue to be identified even after sequencing hundreds of genomes.
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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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              The microbial pan-genome.

              A decade after the beginning of the genomic era, the question of how genomics can describe a bacterial species has not been fully addressed. Experimental data have shown that in some species new genes are discovered even after sequencing the genomes of several strains. Mathematical modeling predicts that new genes will be discovered even after sequencing hundreds of genomes per species. Therefore, a bacterial species can be described by its pan-genome, which is composed of a "core genome" containing genes present in all strains, and a "dispensable genome" containing genes present in two or more strains and genes unique to single strains. Given that the number of unique genes is vast, the pan-genome of a bacterial species might be orders of magnitude larger than any single genome.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                mgen
                mgen
                Microbial Genomics
                Microbiology Society
                2057-5858
                September 2018
                23 July 2018
                23 July 2018
                : 4
                : 9
                : e000199
                Affiliations
                [ 1]Northern Arizona University , Flagstaff, AZ, USA
                [ 2]Naval Medical Research Center , Silver Spring, MD, USA
                [ 3]The Ohio State University , Columbus, OH, USA
                [ 4]Lao-Oxford-Mahosot Hospital-Wellcome Trust, Research Unit, Mahosot Hospital, Vientiane , Vientiane, Lao People's Democratic Republic
                [ 5]University of Oxford, Centre for Tropical Medicine and Global Health , Oxford, UK
                [ 6]Lao-Oxford-Mahosot Hospital-Wellcome Trust Research Unit, Mahosot Hospital , Vientiane, Lao People's Democratic Republic
                [ 7]Foundation of Innovative New Diagnostics , Geneva, Switzerland
                [ 8]Mahidol-Oxford Tropical Medicine Research Unit , Bangkok, Thailand
                [ 9]Swiss Tropical and Public Health Institute , Basel, Switzerland
                [ 10]University of Basel , Basel, Switzerland
                [ 11]Uniformed Services University of the Health Sciences , Bethesda, MD, USA
                Author notes
                *Correspondence: Allen Richards, allen.richards@ 123456comcast.net
                [†]

                These authors contributed equally to this work.

                [‡]

                Deceased

                Article
                mgen000199
                10.1099/mgen.0.000199
                6202447
                30035711
                4df48bcb-5b7a-408c-a70d-6cc18ef129ed
                © 2018 The Authors

                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 work is properly cited.

                History
                : 16 March 2018
                : 26 June 2018
                Funding
                Funded by: Armed Forces Health Surveillance Branch, Global Emerging Infections Surveillance and Response Systems (AFHSB-GEIS) work unit A1402
                Funded by: Wellcome Trust
                Categories
                Research Article
                Microbial Evolution and Epidemiology: Population Genomics
                Custom metadata
                0

                adaptive evolution,gene divergence,genome adaptation,lateral gene transfer,pan-genome,scrub typhus

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