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Related Experiment Video

Updated: May 21, 2026

Biophysical Characterization of Flagellar Motor Functions

Biophysical Characterization of Flagellar Motor Functions

Published on: January 18, 2017

Conformational spread in the flagellar motor switch: a model study.

Qi Ma¹, Dan V Nicolau, Philip K Maini

¹Biodynamic Optical Imaging Center and Department of Life Sciences, Peking University, Beijing, China.

Plos Computational Biology

|June 2, 2012

Summary

This summary is machine-generated.

This study reveals how bacterial flagellar motors achieve ultrasensitive responses to chemical signals. Cooperativity in an allosteric model is key for reliable signal amplification and switching, enabling sensitive yet robust cellular control.

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Biophysical Characterization of Flagellar Motor Functions

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Area of Science:

Biophysics
Cellular Biology
Microbiology

Background:

Bacterial flagellar motors enable motility and chemotaxis by responding to minute changes in signaling protein concentrations.
The precise mechanism underlying the reliable switching and amplification of weak biological signals in these motors remains incompletely understood.

Purpose of the Study:

To comprehensively analyze a proposed allosteric model for E. coli flagellar motor switching using simulations.
To predict and evaluate experimentally observable quantities such as switch time and locked state distributions, and the Hill coefficient.

Main Methods:

Detailed simulation study of a recently proposed allosteric model for flagellar motor behavior.
Model parameterization using existing experimental measurements of motor dynamics.
Analysis of simulated switching dynamics to elucidate the underlying mechanisms.

Main Results:

The allosteric model successfully reproduced key experimental observations, including switching behavior, locked states, and Hill coefficients.
Simulations revealed that cooperativity is essential for coherent switching and effective signal amplification.
The model provides a mechanistic explanation for chemotactic ultrasensitivity in bacteria.

Conclusions:

The findings support an allosteric mechanism involving cooperative conformational spread for flagellar motor control.
This mechanism explains how cells achieve ultrasensitive responses to weak signals, combining analog and digital control for reliable switching.
The study offers insights into the fundamental principles of biological signal processing and cellular decision-making.