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Related Experiment Videos

Dynamic Measures of Flagellar Gene Expression.

Santosh Koirala1, Christopher V Rao2

  • 1Department of Chemical and Biomolecular Engineering, University of Illinois at Urbana-Champaign, 600 S. Mathews Ave, Urbana, IL, 61801, USA.

Methods in Molecular Biology (Clifton, N.J.)
|April 9, 2017
PubMed
Summary

Salmonella flagellar gene expression is controlled by regulators, leading to mixed motile and non-motile cell populations. New methods using fluorescent proteins track these dynamics to understand gene regulation.

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Area of Science:

  • Microbiology
  • Molecular Biology
  • Genetics

Background:

  • Flagellar assembly in bacteria requires numerous genes, including structural components and regulatory elements.
  • Gene expression is temporally controlled during flagellar assembly, with not all cells expressing these genes.
  • This results in heterogeneous populations of motile and non-motile cells, influenced by environmental signals like nutrients.

Purpose of the Study:

  • To describe two novel methods for measuring flagellar gene expression dynamics.
  • To enable investigation into the regulatory mechanisms controlling flagellar gene expression in Salmonella enterica.

Main Methods:

  • Utilizing fluorescent proteins as reporters for gene expression.
  • Developing and applying two distinct methodologies to quantify expression dynamics.
Keywords:
FlagellaFlow cytometryFluorescenceGene expressionSalmonella

Related Experiment Videos

  • Employing Salmonella enterica as the model organism.

    • Main Results:

    • The described methods allow for the quantitative measurement of flagellar gene expression.
    • These techniques facilitate the study of temporal regulation and cell-to-cell variability in flagellar gene expression.
    • The methods are applicable to understanding how environmental factors influence flagellar gene expression.

    Conclusions:

    • Novel fluorescent protein-based methods provide powerful tools for dissecting flagellar gene expression dynamics.
    • These methods will advance our understanding of the regulatory networks governing bacterial motility.
    • Investigating these dynamics is crucial for understanding bacterial adaptation and behavior.