Pearson Talima, U'Ren Jana M, Schupp James M, Allan Gerard J, Foster Peter G, Mayo Mark J, Gal Daniel, Choy Jodie Low, Daugherty Rebecca Leadem, Kachur Sergey, Friedman Christine L Clark, Leadem Benjamin, Georgia Shalamar, Hornstra Heidie, Vogler Amy J, Wagner David M, Keim Paul, Currie Bart J
Northern Arizona University, Center for Microbial Genetics and Genomics, Box 5640, Flagstaff, AZ 86011, USA.
Infect Genet Evol. 2007 Jul;7(4):416-23. doi: 10.1016/j.meegid.2006.12.002. Epub 2006 Dec 20.
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.
针对类鼻疽伯克霍尔德菌的分子分型方法已成功地将分离株归入具有流行病学关联的组群,但无法检测组群内的差异并定义进化模式。我们对一组121株澳大利亚类鼻疽伯克霍尔德菌分离株进行可变数目串联重复序列(VNTR)分析,其中104株与9个流行病学组群相关,即使在非常密切相关的分离株之间也能实现精细区分。我们使用基于突变积累模式的贝叶斯模型来定义这些流行病学组群内的紧密系统发育关系。我们的结果表明,在非常小的地理区域内可能存在遗传多样性,甚至在单一感染中也可能存在低水平的多样性。这些方法能够生成可靠的进化假说,从而在精细的系统发育尺度上追踪类鼻疽伯克霍尔德菌在法医和流行病学暴发中的情况。