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Updated: Feb 14, 2026

Isolation of Salmonella typhimurium-containing Phagosomes from Macrophages
Published on: October 25, 2017
Dynamics and Control of Flagella Assembly in Salmonella typhimurium
Chandrani Das1,2, Chaitanya Mokashi1, Sharmila S Mande2
1Department of Chemical Engineering, Indian Institute of Technology Bombay, Mumbai, India.
Abstract:
The food-borne pathogen Salmonella typhimurium is a common cause of infections and diseases in a wide range of hosts. One of the major virulence factors associated to the infection process is flagella, which helps the bacterium swim to its preferred site of infection inside the host, the M-cells (Microfold cells) lining the lumen of the small intestine. The expression of flagellar genes is controlled by an intricate regulatory network. In this work, we investigate two aspects of flagella regulation and assembly: (a) distribution of the number of flagella in an isogenic population of bacteria and (b) dynamics of gene expression post cell division. More precisely, in a population of bacteria, we note a normal distribution of number of flagella assembled per cell. How is this distribution controlled, and what are the key regulators in the network which help the cell achieve this? In the second question, we explore the role of protein secretion in dictating gene expression dynamics post cell-division (when the number of hook basal bodies on the cell surface is reduced by a factor of two). We develop a mathematical model and perform stochastic simulations to address these questions. Simulations of the model predict that two accessory regulators of flagella gene expression, FliZ and FliT, have significant roles in maintaining population level distribution of flagella. In addition, FliT and FlgM were predicted to control the level and temporal order of flagellar gene expression when the cell adapts to post cell division consequences. Further, the model predicts that, the FliZ and FliT dependent feedback loops function under certain thresholds, alterations in which can substantially affect kinetics of flagellar genes. Thus, based on our results we propose that, the proteins FlgM, FliZ, and FliT, thought to have accessory roles in regulation of flagella, likely play a critical role controlling gene expression during cell division, and frequency distribution of flagella.
Insights
Salmonella typhimurium flagella distribution is controlled by regulators FliZ and FliT. These proteins also manage gene expression after cell division, influencing bacterial infection dynamics.
Area of Science:
- Microbiology
- Systems Biology
- Computational Biology
Background:
- *Salmonella typhimurium* uses flagella for motility and host infection, particularly targeting M-cells.
- Flagellar gene expression is governed by a complex regulatory network.
- Understanding flagella regulation is crucial for controlling bacterial infections.
Purpose of the Study:
- Investigate the regulation of flagella number distribution in *Salmonella typhimurium* populations.
- Analyze the dynamics of flagellar gene expression following bacterial cell division.
- Identify key regulatory proteins involved in these processes.
Main Methods:
- Development of a mathematical model for flagella regulation.
- Stochastic simulations to analyze bacterial population dynamics.
- In silico prediction of protein roles in gene expression control.
Main Results:
- A normal distribution of flagella number per cell was observed and modeled.
- Proteins FliZ and FliT were identified as significant regulators of flagella distribution.
- FliT and FlgM were predicted to control gene expression dynamics post-cell division.
- FliZ and FliT feedback loops were found to be threshold-dependent, impacting gene expression kinetics.
Conclusions:
- Accessory regulators FlgM, FliZ, and FliT play critical roles in flagella gene expression control.
- These proteins are essential for maintaining flagella frequency distribution and regulating gene expression during cell division.
- The findings provide insights into bacterial virulence and potential targets for intervention.
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