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      Recombination-mediated remodelling of host–pathogen interactions during Staphylococcus aureus niche adaptation

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          Abstract

          Large-scale recombination events have led to the emergence of epidemic clones of several major bacterial pathogens. However, the functional impact of the recombination on clonal success is not understood. Here, we identified a novel widespread hybrid clone (ST71) of livestock-associated Staphylococcus aureus that evolved from an ancestor belonging to the major bovine lineage CC97, through multiple large-scale recombination events with other S. aureus lineages occupying the same ruminant niche. The recombination events, affecting a 329 kb region of the chromosome spanning the origin of replication, resulted in allele replacement and loss or gain of an array of genes influencing host–pathogen interactions. Of note, molecular functional analyses revealed that the ST71 hybrid clone has acquired multiple novel pathogenic traits associated with acquired and innate immune evasion and bovine extracellular matrix adherence. These findings provide a paradigm for the impact of large-scale recombination events on the rapid evolution of bacterial pathogens within defined ecological niches.

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          Most cited references37

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          Quake: quality-aware detection and correction of sequencing errors

          We introduce Quake, a program to detect and correct errors in DNA sequencing reads. Using a maximum likelihood approach incorporating quality values and nucleotide specific miscall rates, Quake achieves the highest accuracy on realistically simulated reads. We further demonstrate substantial improvements in de novo assembly and SNP detection after using Quake. Quake can be used for any size project, including more than one billion human reads, and is freely available as open source software from http://www.cbcb.umd.edu/software/quake.
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            RDP2: recombination detection and analysis from sequence alignments.

            RDP2 is a Windows 95/XP program that examines nucleotide sequence alignments and attempts to identify recombinant sequences and recombination breakpoints using 10 published recombination detection methods, including GENECONV, BOOTSCAN, MAXIMUM chi(2), CHIMAERA and SISTER SCANNING. The program enables fast automated analysis of large alignments (up to 300 sequences containing 13 000 sites), and interactive exploration, management and verification of results with different recombination detection and tree drawing methods. RDP2 is available free from the RDP2 website (http://darwin.uvigo.es/rdp/rdp.html) darren@science.uct.ac.za Detailed descriptions of RDP2 and the methods it implements are included in the program manual, which can be downloaded from the RDP2 website.
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              Population genomics of post-vaccine changes in pneumococcal epidemiology

              Whole genome sequencing of 616 asymptomatically carried pneumococci was used to study the impact of the 7-valent pneumococcal conjugate vaccine. Comparison of closely related isolates revealed the role of transformation in facilitating capsule switching to non-vaccine serotypes and the emergence of drug resistance. However, such recombination was found to occur at significantly different rates across the species, and the evolution of the population was primarily driven by changes in the frequency of distinct genotypes extant pre-vaccine. These alterations resulted in little overall effect on accessory genome composition at the population level, contrasting with the fall in pneumococcal disease rates after the vaccine’s introduction.
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                Author and article information

                Journal
                Microb Genom
                Microb Genom
                MGen
                Microbial Genomics
                Microbiology Society
                2057-5858
                October 2015
                30 October 2015
                : 1
                : 4
                : e000036
                Affiliations
                [ 1]The Roslin Institute and Edinburgh Infectious Diseases, University of Edinburgh, Easter Bush, Midlothian, UK
                [ 2]Department of Microbiology and Immunology, University of Arkansas School for Medical Sciences, Little Rock, Arkansas, USA
                [ 3]Department of Microbiology, School of Natural Sciences, National University of Ireland Galway, Ireland
                [ 4]Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland
                Author notes
                Correspondence: J. Ross Fitzgerald ( Ross.Fitzgerald@ 123456ed.ac.uk )

                Data statement: Six supplementary figures and two supplementary tables are available with the online Supplementary Material. All supporting data, code and protocols have been provided within the article or through supplementary data files or public repositories.

                Article
                mgen000036
                10.1099/mgen.0.000036
                5320625
                28348819
                1303e125-5893-4ae8-bcbd-16bca94e3d7d
                © 2015 The Authors

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/3.0/).

                History
                : 6 July 2015
                : 22 September 2015
                Funding
                Funded by: Biotechnology and Biological Sciences Research Council
                Award ID: BB/I013873/1
                Categories
                Research Paper
                Microbe-Niche Interactions
                Host Adaptation

                host–pathogen interactions,niche adaptation,recombination,remodelling,staphylococcus aureus

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