STAMP: Sequence tag-based analysis of microbial population dynamics

We describe a new method (STAMP) for characterization of pathogen population dynamics during infection. STAMP analyzes the frequency changes of genetically “barcoded” organisms to quantify population bottlenecks and infer the founding population size. Analyses of intra-intestinal Vibrio cholerae rev...

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Detalles Bibliográficos
Autores principales: Abel, Sören, zur Wiesch, Pia Abel, Chang, Hsiao-Han, Davis, Brigid M., Lipsitch, Marc, Waldor, Matthew K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4344388/
https://www.ncbi.nlm.nih.gov/pubmed/25599549
http://dx.doi.org/10.1038/nmeth.3253
Descripción
Sumario:We describe a new method (STAMP) for characterization of pathogen population dynamics during infection. STAMP analyzes the frequency changes of genetically “barcoded” organisms to quantify population bottlenecks and infer the founding population size. Analyses of intra-intestinal Vibrio cholerae revealed infection-stage and region-specific host barriers to infection, and unexpectedly showed V. cholerae migration counter to intestinal flow. STAMP provides a robust, widely applicable analytical framework for high confidence characterization of in vivo microbial dissemination.

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