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      Within-host evolution of Helicobacter pylori shaped by niche-specific adaptation, intragastric migrations and selective sweeps

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          Abstract

          The human pathogen Helicobacter pylori displays extensive genetic diversity. While H. pylori is known to evolve during infection, population dynamics inside the gastric environment have not been extensively investigated. Here we obtained gastric biopsies from multiple stomach regions of 16  H. pylori-infected adults, and analyze the genomes of 10  H. pylori isolates from each biopsy. Phylogenetic analyses suggest location-specific evolution and bacterial migration between gastric regions. Migration is significantly more frequent between the corpus and the fundus than with the antrum, suggesting that physiological differences between antral and oxyntic mucosa contribute to spatial partitioning of H. pylori populations. Associations between H. pylori gene polymorphisms and stomach niches suggest that chemotaxis, regulatory functions and outer membrane proteins contribute to specific adaptation to the antral and oxyntic mucosa. Moreover, we show that antibiotics can induce severe population bottlenecks and likely play a role in shaping the population structure of H. pylori.

          Abstract

          Helicobacter pylori, a bacterial pathogen that infects human stomachs, has high genetic diversity across hosts. Here, Ailloud et al. reveal genetic structuring of H. pylori populations among different stomach regions of individual hosts and find signals of genetic associations with stomach region.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Helicobacter pylori infection.

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              ClonalFrameML: Efficient Inference of Recombination in Whole Bacterial Genomes

              Recombination is an important evolutionary force in bacteria, but it remains challenging to reconstruct the imports that occurred in the ancestry of a genomic sample. Here we present ClonalFrameML, which uses maximum likelihood inference to simultaneously detect recombination in bacterial genomes and account for it in phylogenetic reconstruction. ClonalFrameML can analyse hundreds of genomes in a matter of hours, and we demonstrate its usefulness on simulated and real datasets. We find evidence for recombination hotspots associated with mobile elements in Clostridium difficile ST6 and a previously undescribed 310kb chromosomal replacement in Staphylococcus aureus ST582. ClonalFrameML is freely available at http://clonalframeml.googlecode.com/.
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                Author and article information

                Contributors
                suerbaum@mvp.uni-muenchen.de
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                22 May 2019
                22 May 2019
                2019
                : 10
                : 2273
                Affiliations
                [1 ]ISNI 0000 0004 1936 973X, GRID grid.5252.0, Department of Medical Microbiology and Hospital Epidemiology, , Max von Pettenkofer Institute, Faculty of Medicine, LMU Munich, ; 80336 Munich, Germany
                [2 ]ISNI 0000 0000 9529 9877, GRID grid.10423.34, Institute of Medical Microbiology and Hospital Epidemiology, , MHH Hannover Medical School, ; 30625 Hannover, Germany
                [3 ]DZIF German Center for Infection Research, Munich Site, Munich, Germany
                [4 ]DZIF German Center for Infection Research, Hannover-Braunschweig Site, Hannover, Germany
                [5 ]ISNI 0000 0000 8809 1613, GRID grid.7372.1, School of Life Sciences, , University of Warwick, ; Coventry, CV4 7AL UK
                [6 ]ISNI 0000 0000 8809 1613, GRID grid.7372.1, Department of Statistics, , University of Warwick, ; Coventry, CV4 7AL UK
                [7 ]ISNI 0000 0000 9247 8466, GRID grid.420081.f, Leibniz Institute DSMZ - German Collection of Microorganisms and Cell Cultures, ; 38124 Braunschweig, Germany
                [8 ]ISNI 0000 0004 1936 973X, GRID grid.5252.0, National Reference Center for Helicobacter pylori, , Max von Pettenkofer Institute, ; 80336 Munich, Germany
                [9 ]ISNI 0000 0001 1018 4307, GRID grid.5807.a, Department of Gastroenterology, Hepatology and Infectious Diseases, , Otto von Guericke University, ; 39106 Magdeburg, Germany
                [10 ]Department of Medicine 2, University Hospital, LMU Munich, 81377 Munich, Germany
                Author information
                http://orcid.org/0000-0003-3909-7201
                Article
                10050
                10.1038/s41467-019-10050-1
                6531487
                31118420
                4cb0eb86-a4ba-4e72-a5e5-0e6d04f09f9b
                © The Author(s) 2019

                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
                : 20 November 2018
                : 10 April 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100001659, Deutsche Forschungsgemeinschaft (German Research Foundation);
                Award ID: SFB 900/A1
                Award ID: SFB 900/Z1
                Award Recipient :
                Categories
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                © The Author(s) 2019

                Uncategorized
                evolution,microbiology
                Uncategorized
                evolution, microbiology

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