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VNTR analysis of selected outbreaks of Burkholderia pseudomallei in Australia

Pearson, Talima, U'Ren, Jana M., Schupp, James M., Allan, Gerard J., Foster, Peter G., Mayo, Mark J., Gal, Daniel, LowChoy, Jodie, Daugherty, Rebecca L., Kachur, Sergey, Friedman, Christine L. C., Leadem, Benjamin R., Georgia, Shalamar, Hornstra, Heidie, Vogler, Amy J., Wagner, David M., Keim, Paul and Currie, Bart J. (2007). VNTR analysis of selected outbreaks of Burkholderia pseudomallei in Australia. Infection, Genetics and Evolution,7(4):416-423.

Document type: Journal Article
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Title VNTR analysis of selected outbreaks of Burkholderia pseudomallei in Australia
Author Pearson, Talima
U'Ren, Jana M.
Schupp, James M.
Allan, Gerard J.
Foster, Peter G.
Mayo, Mark J.
Gal, Daniel
LowChoy, Jodie
Daugherty, Rebecca L.
Kachur, Sergey
Friedman, Christine L. C.
Leadem, Benjamin R.
Georgia, Shalamar
Hornstra, Heidie
Vogler, Amy J.
Wagner, David M.
Keim, Paul
Currie, Bart J.
Journal Name Infection, Genetics and Evolution
Publication Date 2007
Volume Number 7
Issue Number 4
ISSN 1567-1348   (check CDU catalogue open catalogue search in new window)
Start Page 416
End Page 423
Total Pages 8
Place of Publication Netherlands
Publisher Elsevier BV
Field of Research 0604 - Genetics
HERDC Category C1 - Journal Article (DEST)
Abstract Molecular typing methods for Burkholderia pseudomallei have been successful at assigning isolates into epidemiologically related groups, but have not been able to detect differences and define evolutionary patterns within groups. Our variable number tandem repeat (VNTR) analysis of a set of 121 Australian B. pseudomallei isolates, 104 of which were associated with nine epidemiological groups, provides fine scale differentiation even among very closely related isolates. We used a Bayesian model based upon mutation accumulation patterns to define the close phylogenetic relationships within these epidemiological groups. Our results reveal that genetic diversity can exist within a very small geographic area, and that low levels of diversity can exist even within a single infection. These methods provide the ability to generate robust evolutionary hypotheses that enable tracking of B. pseudomallei in forensic and epidemiological outbreaks at fine phylogenetic scales.
Keywords Burkholderia pseudomallei
Bayesian analysis
Phylogenetic analysis
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