63
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      A genomic portrait of the emergence, evolution, and global spread of a methicillin-resistant Staphylococcus aureus pandemic

      research-article
      1 , 25 , 1 , 2 , 3 , 4 , 1 , 1 , 3 , 3 , 3 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 20 , 21 , 21 , 4 ,   4 ,   4 , 4 , 4 , 18 , 1 , 20 , 25 , 1 , 3 , 25
      Genome Research
      Cold Spring Harbor Laboratory Press

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          The widespread use of antibiotics in association with high-density clinical care has driven the emergence of drug-resistant bacteria that are adapted to thrive in hospitalized patients. Of particular concern are globally disseminated methicillin-resistant Staphylococcus aureus (MRSA) clones that cause outbreaks and epidemics associated with health care. The most rapidly spreading and tenacious health-care-associated clone in Europe currently is EMRSA-15, which was first detected in the UK in the early 1990s and subsequently spread throughout Europe and beyond. Using phylogenomic methods to analyze the genome sequences for 193 S. aureus isolates, we were able to show that the current pandemic population of EMRSA-15 descends from a health-care-associated MRSA epidemic that spread throughout England in the 1980s, which had itself previously emerged from a primarily community-associated methicillin-sensitive population. The emergence of fluoroquinolone resistance in this EMRSA-15 subclone in the English Midlands during the mid-1980s appears to have played a key role in triggering pandemic spread, and occurred shortly after the first clinical trials of this drug. Genome-based coalescence analysis estimated that the population of this subclone over the last 20 yr has grown four times faster than its progenitor. Using comparative genomic analysis we identified the molecular genetic basis of 99.8% of the antimicrobial resistance phenotypes of the isolates, highlighting the potential of pathogen genome sequencing as a diagnostic tool. We document the genetic changes associated with adaptation to the hospital environment and with increasing drug resistance over time, and how MRSA evolution likely has been influenced by country-specific drug use regimens.

          Related collections

          Most cited references116

          • Record: found
          • Abstract: found
          • Article: not found

          Basic local alignment search tool.

          A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score. Recent mathematical results on the stochastic properties of MSP scores allow an analysis of the performance of this method as well as the statistical significance of alignments it generates. The basic algorithm is simple and robust; it can be implemented in a number of ways and applied in a variety of contexts including straightforward DNA and protein sequence database searches, motif searches, gene identification searches, and in the analysis of multiple regions of similarity in long DNA sequences. In addition to its flexibility and tractability to mathematical analysis, BLAST is an order of magnitude faster than existing sequence comparison tools of comparable sensitivity.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            Prodigal: prokaryotic gene recognition and translation initiation site identification

            Background The quality of automated gene prediction in microbial organisms has improved steadily over the past decade, but there is still room for improvement. Increasing the number of correct identifications, both of genes and of the translation initiation sites for each gene, and reducing the overall number of false positives, are all desirable goals. Results With our years of experience in manually curating genomes for the Joint Genome Institute, we developed a new gene prediction algorithm called Prodigal (PROkaryotic DYnamic programming Gene-finding ALgorithm). With Prodigal, we focused specifically on the three goals of improved gene structure prediction, improved translation initiation site recognition, and reduced false positives. We compared the results of Prodigal to existing gene-finding methods to demonstrate that it met each of these objectives. Conclusion We built a fast, lightweight, open source gene prediction program called Prodigal http://compbio.ornl.gov/prodigal/. Prodigal achieved good results compared to existing methods, and we believe it will be a valuable asset to automated microbial annotation pipelines.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              Bayesian Phylogenetics with BEAUti and the BEAST 1.7

              Computational evolutionary biology, statistical phylogenetics and coalescent-based population genetics are becoming increasingly central to the analysis and understanding of molecular sequence data. We present the Bayesian Evolutionary Analysis by Sampling Trees (BEAST) software package version 1.7, which implements a family of Markov chain Monte Carlo (MCMC) algorithms for Bayesian phylogenetic inference, divergence time dating, coalescent analysis, phylogeography and related molecular evolutionary analyses. This package includes an enhanced graphical user interface program called Bayesian Evolutionary Analysis Utility (BEAUti) that enables access to advanced models for molecular sequence and phenotypic trait evolution that were previously available to developers only. The package also provides new tools for visualizing and summarizing multispecies coalescent and phylogeographic analyses. BEAUti and BEAST 1.7 are open source under the GNU lesser general public license and available at http://beast-mcmc.googlecode.com and http://beast.bio.ed.ac.uk
                Bookmark

                Author and article information

                Journal
                Genome Res
                Genome Res
                GENOME
                Genome Research
                Cold Spring Harbor Laboratory Press
                1088-9051
                1549-5469
                April 2013
                April 2013
                : 23
                : 4
                : 653-664
                Affiliations
                [1 ]The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB19 1SA, United Kingdom;
                [2 ]National University Health System, Singapore 119228;
                [3 ]Robert Koch Institute, Wernigerode D-38855, Germany;
                [4 ]Department of Infectious Disease Epidemiology, Imperial College London, St. Mary's Hospital Campus, London W2 1PG, United Kingdom;
                [5 ]Laboratory of Molecular Genetics, Instituto de Tecnologia Química e Biológica (ITQB), Universidade Nova de Lisboa, 2784-505 Oeiras, Portugal;
                [6 ]Laboratory of Microbiology, The Rockefeller University, New York, New York 10065, USA;
                [7 ]Statens Serum Institut, DK-2300 Copenhagen, Denmark;
                [8 ]Hvidovre Hospital, 2650 Hvidovre, Denmark;
                [9 ]University of Copenhagen, Faculty of Health Sciences, DK-2200 Copenhagen, Denmark;
                [10 ]National Institute of Public Health, Prague 10042, Czech Republic;
                [11 ]Royal Perth Hospital, Perth WA 6000, Australia;
                [12 ]Microbiology Services, Health Protection Agency, London NW9 5EQ, United Kingdom;
                [13 ]Centre for Clinical Infection and Diagnostics Research, Department of Infectious Diseases, King's College London and Guy's and St. Thomas' NHS Foundation Trust, Greater London WC2R 2LS, United Kingdom;
                [14 ]Aberdeen Royal Infirmary, Aberdeen City AB16, United Kingdom;
                [15 ]University College London Hospital, London NW1 2BU, United Kingdom;
                [16 ]Division of Infectious Diseases, Department of Medicine, Imperial College London, London W12 0NN, United Kingdom;
                [17 ]Scottish MRSA Reference Laboratory, NHS Greater Glasgow and Clyde, Stobhill Hospital, Glasgow G21 3UW, United Kingdom;
                [18 ]The Roslin Institute and Edinburgh Infectious Diseases, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush, Midlothian EH25 9RG, United Kingdom;
                [19 ]Microbiology, Royal Infirmary of Edinburgh, Edinburgh EH16 4SA, United Kingdom;
                [20 ]Environmental Research Institute, University College Cork, Cork, Ireland;
                [21 ]Department of Biology and Biochemistry, University of Bath, Claverton Down, Bath BA2 7AY, United Kingdom
                Author notes

                Present addresses: 22University of Cambridge, Cambridge CB2 1TN, United Kingdom;

                [23]

                University of Bath, Bath BA2 7AY, United Kingdom;

                [24]

                University College London, Greater London WC1E 6BT, United Kingdom.

                [25 ]Corresponding authors E-mail nuebelu@ 123456rki.de E-mail M.Achtman@ 123456ucc.ie E-mail mh3@ 123456sanger.ac.uk
                Article
                9518021
                10.1101/gr.147710.112
                3613582
                23299977
                9e818125-6061-4ce5-a34b-ff923b258775
                © 2013, Published by Cold Spring Harbor Laboratory Press

                This article is distributed exclusively by Cold Spring Harbor Laboratory Press for the first six months after the full-issue publication date (see http://genome.cshlp.org/site/misc/terms.xhtml). After six months, it is available under a Creative Commons License (Attribution-NonCommercial 3.0 Unported License), as described at http://creativecommons.org/licenses/by-nc/3.0/.

                History
                : 11 August 2012
                : 7 January 2013
                Page count
                Pages: 12
                Categories
                Research

                Comments

                Comment on this article