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Related Experiment Video

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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Sequence tag-based analysis of microbial population dynamics.

Sören Abel1, Pia Abel zur Wiesch2, Hsiao-Han Chang3

  • 11] Department of Microbiology and Immunobiology, Harvard Medical School, Boston, Massachusetts, USA. [2] Division of Infectious Diseases, Brigham and Women's Hospital, Boston, Massachusetts, USA.

Nature Methods
|January 20, 2015
PubMed
Summary
This summary is machine-generated.

Sequence tag-based analysis of microbial populations (STAMP) tracks pathogen dynamics during infection. This method reveals host barriers and unexpected microbial migration patterns within the host.

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Area of Science:

  • Microbiology
  • Infectious Diseases
  • Genomics

Background:

  • Understanding pathogen population dynamics during infection is crucial for developing effective treatments.
  • Previous methods lacked the resolution to accurately quantify microbial dissemination and host-pathogen interactions in vivo.
  • Characterizing the founding population size and bottlenecks is essential for comprehending infection establishment.

Purpose of the Study:

  • To introduce Sequence Tag-Based Analysis of Microbial Populations (STAMP) as a novel framework.
  • To utilize STAMP for high-confidence characterization of pathogen population dynamics during infection.
  • To investigate host barriers and migration patterns of Vibrio cholerae within the intestine.

Main Methods:

  • Development and application of STAMP, a sequence tag-based analysis method.
  • Genetically barcoding organisms to track their frequency changes within a population.
  • Analyzing frequency shifts to quantify population bottlenecks and infer founding population sizes.

Main Results:

  • STAMP successfully characterized pathogen population dynamics in vivo.
  • Analysis of intraintestinal Vibrio cholerae revealed infection-stage and region-specific host barriers.
  • Unexpected migration of V. cholerae against the normal intestinal flow was observed.

Conclusions:

  • STAMP offers a robust and widely applicable analytical framework for microbial studies.
  • The method enables high-confidence characterization of in vivo microbial dissemination.
  • Findings highlight the complexity of host-pathogen interactions and microbial movement within the host.