Related Experiment Video
Updated: Jul 8, 2026

08:25
Continuous Measurement of Biological Noise in Escherichia Coli Using Time-lapse Microscopy
Published on: April 27, 2021
A feed-forward loop guarantees robust behavior in Escherichia coli carbohydrate uptake.
A Kremling1, K Bettenbrock, E D Gilles
1Systems Biology Group, Max-Planck-Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany. kremling@mpi-magdeburg.mpg.de
Bioinformatics (Oxford, England)
|January 12, 2008
Summary
The phosphoenolpyruvate: carbohydrate phosphotransferase system in Escherichia coli robustly measures glycolytic flux. This system
Area of Science:
- Microbial physiology
- Systems biology
- Biochemical modeling
Background:
- The phosphoenolpyruvate: carbohydrate phosphotransferase system (PTS) in Escherichia coli functions as a sensor for glycolytic flux.
- The output of this sensor, phosphorylated EIIA, influences the global transcription factor Crp, impacting cellular behavior.
- Understanding the kinetic and structural properties of the PTS is crucial for comprehending cellular regulation.
Purpose of the Study:
- To develop and analyze a family of mathematical models for the PTS in Escherichia coli.
- To investigate the robustness of the PTS in measuring glycolytic flux across varying model complexities.
- To elucidate the mechanisms underlying the system's structural and quantitative robustness.
Main Methods:
- Development of a series of mathematical models with increasing complexity.
- Simulation of models using MATLAB.
- Analysis of model behavior in response to variations in experimental data and parameters.
- Identification of key regulatory elements contributing to system robustness.
Main Results:
- A family of mathematical models exhibiting robust behavior was presented.
- The models successfully described experimental data relating PTS output to specific growth rate.
- A feed-forward loop involving pyruvate kinase activation by an upper glycolysis metabolite was identified as key to robustness.
- Robustness was demonstrated across variations in measured data and model parameters.
Conclusions:
- The phosphoenolpyruvate: carbohydrate phosphotransferase system in Escherichia coli exhibits robust control over glycolytic flux measurement.
- A feed-forward loop within glycolysis is a critical determinant of this robustness.
- Mathematical modeling provides valuable insights into the complex regulatory mechanisms of microbial metabolism.
Related Concept Videos
Chemotaxis in E. coli
Chemotaxis in Escherichia coli is a sensory-driven motility mechanism that enables bacteria to navigate chemical gradients, moving toward beneficial environments while avoiding harmful conditions. This process relies on a signal transduction system integrating external chemical cues with flagellar motor control.Chemoreceptors and Signal DetectionE. coli detects chemical gradients through methyl-accepting chemotaxis proteins (MCPs), which are membrane-bound chemoreceptors that sense attractants...
Inducible Operons: lac Operon
The lac operon in Escherichia coli is a model for understanding inducible gene regulation and metabolic flexibility. It integrates local control by lactose and global regulation through catabolite repression, enabling E. coli to preferentially metabolize glucose when available and switch to lactose utilization when glucose is scarce.Structure and Function of the lac OperonThe lac operon contains three structural genes: lacZ (β-galactosidase), lacY (lactose permease), and lacA (thiogalactoside...
Stringent Response in E. coli
Bacterial growth is closely tied to nutrient availability, with cells proliferating exponentially under favorable conditions and entering a stationary phase when resources become scarce. This transition is mediated by a regulatory mechanism known as the stringent response, which allows bacteria to adapt to nutrient deprivation by modulating gene expression and metabolic activity.During nutrient scarcity, intracellular amino acid levels decline. It results in the accumulation of uncharged tRNAs...
Cell Signaling Feedback Loops
Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
Evolution of New Traits in Microbes
Microorganisms evolve rapidly due to their large population sizes and short generation times, often exhibiting measurable changes within days under laboratory conditions. Natural selection acts on standing genetic variation, enabling the retention and amplification of beneficial traits that confer fitness advantages in changing environments.Adaptive Pigment Regulation in RhodobacterIn Rhodobacter, a genus of purple non-sulfur bacteria, light-harvesting pigments such as bacteriochlorophyll and...
Operon Model
The operon model represents a fundamental mechanism of gene regulation in prokaryotes, enabling coordinated expression of genes involved in related metabolic or functional pathways. Operons consist of structural genes, a promoter, and an operator, with transcription regulated by repressors, activators, and small effector molecules.Structure and Function of OperonsAn operon is a cluster of structural genes transcribed together under the control of a single promoter. The promoter region...

