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  • 1
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    Rapid pneumococcal evolution in response to clinical interventions (2011)
    American Association for the Advancement of Science (AAAS)
    Details
    Publication Date: 2011-01-29
    Description: Epidemiological studies of the naturally transformable bacterial pathogen Streptococcus pneumoniae have previously been confounded by high rates of recombination. Sequencing 240 isolates of the PMEN1 (Spain(23F)-1) multidrug-resistant lineage enabled base substitutions to be distinguished from polymorphisms arising through horizontal sequence transfer. More than 700 recombinations were detected, with genes encoding major antigens frequently affected. Among these were 10 capsule-switching events, one of which accompanied a population shift as vaccine-escape serotype 19A isolates emerged in the USA after the introduction of the conjugate polysaccharide vaccine. The evolution of resistance to fluoroquinolones, rifampicin, and macrolides was observed to occur on multiple occasions. This study details how genomic plasticity within lineages of recombinogenic bacteria can permit adaptation to clinical interventions over remarkably short time scales.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3648787/" 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/PMC3648787/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Croucher, Nicholas J -- Harris, Simon R -- Fraser, Christophe -- Quail, Michael A -- Burton, John -- van der Linden, Mark -- McGee, Lesley -- von Gottberg, Anne -- Song, Jae Hoon -- Ko, Kwan Soo -- Pichon, Bruno -- Baker, Stephen -- Parry, Christopher M -- Lambertsen, Lotte M -- Shahinas, Dea -- Pillai, Dylan R -- Mitchell, Timothy J -- Dougan, Gordon -- Tomasz, Alexander -- Klugman, Keith P -- Parkhill, Julian -- Hanage, William P -- Bentley, Stephen D -- 076962/Wellcome Trust/United Kingdom -- 076964/Wellcome Trust/United Kingdom -- G0800596/Medical Research Council/United Kingdom -- Wellcome Trust/United Kingdom -- New York, N.Y. -- Science. 2011 Jan 28;331(6016):430-4. doi: 10.1126/science.1198545.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21273480" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Anti-Bacterial Agents/pharmacology ; Antigenic Variation ; DNA Transposable Elements ; Drug Resistance, Multiple, Bacterial ; *Evolution, Molecular ; Genome, Bacterial ; Humans ; Molecular Epidemiology ; Phylogeny ; Phylogeography ; Pneumococcal Infections/drug therapy/*microbiology ; Pneumococcal Vaccines/immunology ; Polymorphism, Single Nucleotide ; Prophages/genetics ; *Recombination, Genetic ; Selection, Genetic ; Serotyping ; Streptococcus Phages/genetics ; Streptococcus pneumoniae/classification/drug effects/*genetics/immunology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
    Published by American Association for the Advancement of Science (AAAS)
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  • 2
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    Evidence for several waves of global transmission in the seventh cholera pandemic (2011)
    Nature Publishing Group (NPG)
    Details
    Publication Date: 2011-08-26
    Description: Vibrio cholerae is a globally important pathogen that is endemic in many areas of the world and causes 3-5 million reported cases of cholera every year. Historically, there have been seven acknowledged cholera pandemics; recent outbreaks in Zimbabwe and Haiti are included in the seventh and ongoing pandemic. Only isolates in serogroup O1 (consisting of two biotypes known as 'classical' and 'El Tor') and the derivative O139 can cause epidemic cholera. It is believed that the first six cholera pandemics were caused by the classical biotype, but El Tor has subsequently spread globally and replaced the classical biotype in the current pandemic. Detailed molecular epidemiological mapping of cholera has been compromised by a reliance on sub-genomic regions such as mobile elements to infer relationships, making El Tor isolates associated with the seventh pandemic seem superficially diverse. To understand the underlying phylogeny of the lineage responsible for the current pandemic, we identified high-resolution markers (single nucleotide polymorphisms; SNPs) in 154 whole-genome sequences of globally and temporally representative V. cholerae isolates. Using this phylogeny, we show here that the seventh pandemic has spread from the Bay of Bengal in at least three independent but overlapping waves with a common ancestor in the 1950s, and identify several transcontinental transmission events. Additionally, we show how the acquisition of the SXT family of antibiotic resistance elements has shaped pandemic spread, and show that this family was first acquired at least ten years before its discovery in V. cholerae.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3736323/" 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/PMC3736323/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Mutreja, Ankur -- Kim, Dong Wook -- Thomson, Nicholas R -- Connor, Thomas R -- Lee, Je Hee -- Kariuki, Samuel -- Croucher, Nicholas J -- Choi, Seon Young -- Harris, Simon R -- Lebens, Michael -- Niyogi, Swapan Kumar -- Kim, Eun Jin -- Ramamurthy, T -- Chun, Jongsik -- Wood, James L N -- Clemens, John D -- Czerkinsky, Cecil -- Nair, G Balakrish -- Holmgren, Jan -- Parkhill, Julian -- Dougan, Gordon -- 076962/Wellcome Trust/United Kingdom -- 076964/Wellcome Trust/United Kingdom -- England -- Nature. 2011 Aug 24;477(7365):462-5. doi: 10.1038/nature10392.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21866102" target="_blank"〉PubMed〈/a〉
    Keywords: Cholera/*epidemiology/microbiology/*transmission ; Genome, Bacterial/genetics ; Haiti/epidemiology ; Humans ; Likelihood Functions ; Molecular Epidemiology ; Pandemics/*statistics & numerical data ; Phylogeny ; Polymorphism, Single Nucleotide/genetics ; Vibrio cholerae/classification/*genetics/*isolation & purification ; Zimbabwe/epidemiology
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
    Published by Nature Publishing Group (NPG)
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  • 3
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    Rapid phylogenetic analysis of large samples of recombinant bacterial whole genome sequences using Gubbins (2015)
    Oxford University Press
    Details
    Publication Date: 2015-02-18
    Description: The emergence of new sequencing technologies has facilitated the use of bacterial whole genome alignments for evolutionary studies and outbreak analyses. These datasets, of increasing size, often include examples of multiple different mechanisms of horizontal sequence transfer resulting in substantial alterations to prokaryotic chromosomes. The impact of these processes demands rapid and flexible approaches able to account for recombination when reconstructing isolates’ recent diversification. Gubbins is an iterative algorithm that uses spatial scanning statistics to identify loci containing elevated densities of base substitutions suggestive of horizontal sequence transfer while concurrently constructing a maximum likelihood phylogeny based on the putative point mutations outside these regions of high sequence diversity. Simulations demonstrate the algorithm generates highly accurate reconstructions under realistically parameterized models of bacterial evolution, and achieves convergence in only a few hours on alignments of hundreds of bacterial genome sequences. Gubbins is appropriate for reconstructing the recent evolutionary history of a variety of haploid genotype alignments, as it makes no assumptions about the underlying mechanism of recombination. The software is freely available for download at github.com/sanger-pathogens/Gubbins , implemented in Python and C and supported on Linux and Mac OS X.
    Keywords: Genomics
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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  • 4
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    Evidence for Soft Selective Sweeps in the Evolution of Pneumococcal Multidrug Resistance and Vaccine Escape (2014)
    Oxford University Press
    Details
    Publication Date: 2014-07-04
    Description: The multidrug-resistant Streptococcus pneumoniae Taiwan 19F -14, or PMEN14, clone was first observed with a 19F serotype, which is targeted by the heptavalent polysaccharide conjugate vaccine (PCV7). However, "vaccine escape" PMEN14 isolates with a 19A serotype became an increasingly important cause of disease post-PCV7. Whole genome sequencing was used to characterize the recent evolution of 173 pneumococci of, or related to, PMEN14. This suggested that PMEN14 is a single lineage that originated in the late 1980s in parallel with the acquisition of multiple resistances by close relatives. One of the four detected serotype switches to 19A generated representatives of the sequence type (ST) 320 isolates that have been highly successful post-PCV7. A second produced an ST236 19A genotype with reduced resistance to β-lactams owing to alteration of pbp1a and pbp2x sequences through the same recombination that caused the change in serotype. A third, which generated a mosaic capsule biosynthesis locus, resulted in serotype 19A ST271 isolates. The rapid diversification through homologous recombination seen in the global collection was similarly observed in the absence of vaccination in a set of isolates from the Maela refugee camp in Thailand, a collection that also allowed variation to be observed within carriage through longitudinal sampling. This suggests that some pneumococcal genotypes generate a pool of standing variation that is sufficiently extensive to result in "soft" selective sweeps: The emergence of multiple mutants in parallel upon a change in selection pressure, such as vaccine introduction. The subsequent competition between these mutants makes this phenomenon difficult to detect without deep sampling of individual lineages.
    Electronic ISSN: 1759-6653
    Topics: Biology
    Published by Oxford University Press
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  • 5
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    Phandango: an interactive viewer for bacterial population genomics (2018)
    Oxford University Press
    Details
    Publication Date: 2018-03-06
    Description: Summary Fully exploiting the wealth of data in current bacterial population genomics datasets requires synthesizing and integrating different types of analysis across millions of base pairs in hundreds or thousands of isolates. Current approaches often use static representations of phylogenetic, epidemiological, statistical and evolutionary analysis results that are difficult to relate to one another. Phandango is an interactive application running in a web browser allowing fast exploration of large-scale population genomics datasets combining the output from multiple genomic analysis methods in an intuitive and interactive manner. Availability and implementation Phandango is a web application freely available for use at www.phandango.net and includes a diverse collection of datasets as examples. Source code together with a detailed wiki page is available on GitHub at https://github.com/jameshadfield/phandango . Contact jh22@sanger.ac.uk or sh16@sanger.ac.uk
    Print ISSN: 1367-4803
    Electronic ISSN: 1460-2059
    Topics: Biology , Computer Science , Medicine
    Published by Oxford University Press
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  • 6
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    A simple method for directional transcriptome sequencing using Illumina technology (2009)
    Oxford University Press
    Details
    Publication Date: 2009-10-08
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
    Published by Oxford University Press
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