Literature DB >> 15638842

The development of tools for diagnosis of tularemia and typing of Francisella tularensis.

Anders Johansson1, Mats Forsman, Anders Sjöstedt.   

Abstract

Rapid development of molecular techniques for the diagnosis of infections and typing of microbes has been seen during the last 10 years. The present review exemplifies this development by presenting the work of the authors and others regarding techniques for the diagnosis of tularemia and typing of Francisella tularensis. The lack of rapid and safe methods for the laboratory diagnosis of tularemia was the rationale behind the development of methods for the direct detection of F. tularensis in clinical specimens. Today, detection by polymerase chain reaction has become an important adjunct to clinical decisions for the early diagnosis of tularemia. The elucidation of the epidemiology and epizootology of the disease has been hampered by the lack of suitable methods. During recent years several DNA-based methods that allow rapid identification of the four F. tularensis subspecies, including differentiation of strains of the two clinically important subspecies, the highly virulent type A strains and less virulent type B strains, have been developed. Since F. tularensis strains of any origin exhibit highly conserved genomic sequences, the availability of extensive genome sequence data was a prerequisite for the development of a typing system that allows discrimination of individual isolates. The most discriminatory method is based on multiple-locus variable-number tandem repeat analysis (MLVA) and uses highly variable parts of the F. tularensis genome. The method will be an important tool in future studies of the molecular epidemiology of tularemia.

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Year:  2004        PMID: 15638842     DOI: 10.1111/j.1600-0463.2004.apm11211-1212.x

Source DB:  PubMed          Journal:  APMIS        ISSN: 0903-4641            Impact factor:   3.205


  12 in total

1.  Rapid comparative genomic analysis for clinical microbiology: the Francisella tularensis paradigm.

Authors:  Bernard La Scola; Khalid Elkarkouri; Wenjun Li; Tara Wahab; Ghislain Fournous; Jean-Marc Rolain; Silpak Biswas; Michel Drancourt; Catherine Robert; Stéphane Audic; Sven Löfdahl; Didier Raoult
Journal:  Genome Res       Date:  2008-04-11       Impact factor: 9.043

2.  Whole-Genome Relationships among Francisella Bacteria of Diverse Origins Define New Species and Provide Specific Regions for Detection.

Authors:  Jean F Challacombe; Jeannine M Petersen; La Verne Gallegos-Graves; David Hodge; Segaran Pillai; Cheryl R Kuske
Journal:  Appl Environ Microbiol       Date:  2017-01-17       Impact factor: 4.792

3.  Performance Standards for Biological Threat Agent Assays for Department of Defense Applications.

Authors: 
Journal:  J AOAC Int       Date:  2018-11-01       Impact factor: 1.913

Review 4.  Methicillin-Resistant Staphylococcus aureus: Molecular Characterization, Evolution, and Epidemiology.

Authors:  Sahreena Lakhundi; Kunyan Zhang
Journal:  Clin Microbiol Rev       Date:  2018-09-12       Impact factor: 26.132

5.  Tularemia outbreak, Bulgaria, 1997-2005.

Authors:  Todor Kantardjiev; Ivan Ivanov; Tzvetan Velinov; Plamen Padeshki; Boris Popov; Roumiana Nenova; Milcho Mincheff
Journal:  Emerg Infect Dis       Date:  2006-04       Impact factor: 6.883

6.  Whole genome single nucleotide polymorphism based phylogeny of Francisella tularensis and its application to the development of a strain typing assay.

Authors:  Gagan A Pandya; Michael H Holmes; Jeannine M Petersen; Sonal Pradhan; Svetlana A Karamycheva; Mark J Wolcott; Claudia Molins; Marcus Jones; Martin E Schriefer; Robert D Fleischmann; Scott N Peterson
Journal:  BMC Microbiol       Date:  2009-10-07       Impact factor: 3.605

7.  Canonical insertion-deletion markers for rapid DNA typing of Francisella tularensis.

Authors:  Pär Larsson; Kerstin Svensson; Linda Karlsson; Dimitri Guala; Malin Granberg; Mats Forsman; Anders Johanssont
Journal:  Emerg Infect Dis       Date:  2007-11       Impact factor: 6.883

8.  Piezoelectric immunosensor for the direct and rapid detection of Francisella tularensis.

Authors:  M Pohanka; P Skládal
Journal:  Folia Microbiol (Praha)       Date:  2007       Impact factor: 2.629

9.  Tandem repeat regions within the Burkholderia pseudomallei genome and their application for high resolution genotyping.

Authors:  Jana M U'Ren; James M Schupp; Talima Pearson; Heidie Hornstra; Christine L Clark Friedman; Kimothy L Smith; Rebecca R Leadem Daugherty; Shane D Rhoton; Ben Leadem; Shalamar Georgia; Michelle Cardon; Lynn Y Huynh; David DeShazer; Steven P Harvey; Richard Robison; Daniel Gal; Mark J Mayo; David Wagner; Bart J Currie; Paul Keim
Journal:  BMC Microbiol       Date:  2007-03-30       Impact factor: 3.605

10.  Detection of Francisella tularensis in ticks and identification of their genotypes using multiple-locus variable-number tandem repeat analysis.

Authors:  Fang Zhang; Wei Liu; Xiao-Ming Wu; Zhong-Tao Xin; Qiu-Min Zhao; Hong Yang; Wu-Chun Cao
Journal:  BMC Microbiol       Date:  2008-09-17       Impact factor: 3.605

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