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  • Cross Infection/epidemiology/*microbiology/transmission  (1)
  • Drug Resistance, Multiple, Bacterial/*genetics  (1)
  • American Association for the Advancement of Science (AAAS)  (2)
Collection
Publisher
  • American Association for the Advancement of Science (AAAS)  (2)
Years
  • 1
    Publication Date: 2010-01-23
    Description: Current methods for differentiating isolates of predominant lineages of pathogenic bacteria often do not provide sufficient resolution to define precise relationships. Here, we describe a high-throughput genomics approach that provides a high-resolution view of the epidemiology and microevolution of a dominant strain of methicillin-resistant Staphylococcus aureus (MRSA). This approach reveals the global geographic structure within the lineage, its intercontinental transmission through four decades, and the potential to trace person-to-person transmission within a hospital environment. The ability to interrogate and resolve bacterial populations is applicable to a range of infectious diseases, as well as microbial ecology.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2821690/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2821690/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Harris, Simon R -- Feil, Edward J -- Holden, Matthew T G -- Quail, Michael A -- Nickerson, Emma K -- Chantratita, Narisara -- Gardete, Susana -- Tavares, Ana -- Day, Nick -- Lindsay, Jodi A -- Edgeworth, Jonathan D -- de Lencastre, Herminia -- Parkhill, Julian -- Peacock, Sharon J -- Bentley, Stephen D -- 076964/Wellcome Trust/United Kingdom -- Department of Health/United Kingdom -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2010 Jan 22;327(5964):469-74. doi: 10.1126/science.1182395.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 15A, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20093474" target="_blank"〉PubMed〈/a〉
    Keywords: Asia/epidemiology ; Bacterial Typing Techniques ; Cross Infection/epidemiology/*microbiology/transmission ; Europe/epidemiology ; Evolution, Molecular ; *Genome, Bacterial ; Genomics/methods ; Humans ; Likelihood Functions ; Methicillin-Resistant Staphylococcus aureus/*classification/*genetics/isolation & ; purification ; Molecular Epidemiology ; Molecular Sequence Data ; Phylogeny ; Polymorphism, Single Nucleotide ; Sequence Analysis, DNA ; South America/epidemiology ; Staphylococcal Infections/epidemiology/*microbiology/transmission ; Time Factors ; United States/epidemiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 2013-09-14
    Description: The global epidemic of multidrug-resistant Salmonella Typhimurium DT104 provides an important example, both in terms of the agent and its resistance, of a widely disseminated zoonotic pathogen. Here, with an unprecedented national collection of isolates collected contemporaneously from humans and animals and including a sample of internationally derived isolates, we have used whole-genome sequencing to dissect the phylogenetic associations of the bacterium and its antimicrobial resistance genes through the course of an epidemic. Contrary to current tenets supporting a single homogeneous epidemic, we demonstrate that the bacterium and its resistance genes were largely maintained within animal and human populations separately and that there was limited transmission, in either direction. We also show considerable variation in the resistance profiles, in contrast to the largely stable bacterial core genome, which emphasizes the critical importance of integrated genotypic data sets in understanding the ecology of bacterial zoonoses and antimicrobial resistance.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012302/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4012302/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mather, A E -- Reid, S W J -- Maskell, D J -- Parkhill, J -- Fookes, M C -- Harris, S R -- Brown, D J -- Coia, J E -- Mulvey, M R -- Gilmour, M W -- Petrovska, L -- de Pinna, E -- Kuroda, M -- Akiba, M -- Izumiya, H -- Connor, T R -- Suchard, M A -- Lemey, P -- Mellor, D J -- Haydon, D T -- Thomson, N R -- 098051/Wellcome Trust/United Kingdom -- 260864/European Research Council/International -- AI107034/AI/NIAID NIH HHS/ -- HG006139/HG/NHGRI NIH HHS/ -- R01 AI107034/AI/NIAID NIH HHS/ -- R01 GM086887/GM/NIGMS NIH HHS/ -- R01 HG006139/HG/NHGRI NIH HHS/ -- New York, N.Y. -- Science. 2013 Sep 27;341(6153):1514-7. doi: 10.1126/science.1240578. Epub 2013 Sep 12.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24030491" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Drug Resistance, Multiple, Bacterial/*genetics ; Epidemics ; Genome, Bacterial ; *Host-Pathogen Interactions ; Humans ; Molecular Sequence Data ; Phylogeny ; Salmonella Infections/epidemiology/*microbiology ; Salmonella Infections, Animal/epidemiology/*microbiology ; Salmonella typhimurium/*classification/drug effects/genetics ; Zoonoses/*microbiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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