Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Bacterial Growth Curve01:28

Bacterial Growth Curve

3.1K
The bacterial growth curve is a fundamental concept in microbiology that describes the dynamics of bacterial population growth in a closed system with controlled environmental conditions, such as temperature and nutrient availability. This curve is divided into four distinct phases: lag, log (exponential), stationary, and death phases, each reflecting a unique stage of bacterial adaptation and growth. During the lag phase, bacteria acclimate to their surroundings by synthesizing essential...
3.1K
Stringent Response in E. coli01:23

Stringent Response in E. coli

404
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...
404
Prokaryotic Transcriptional Activators and Repressors01:58

Prokaryotic Transcriptional Activators and Repressors

25.7K
The organization of prokaryotic genes in their genome is notably different from that of eukaryotes. Prokaryotic genes are organized, such that the genes for proteins involved in the same biochemical process or function are located together in groups. This group of genes, along with their regulatory elements, are collectively known as an operon. The functional genes in an operon are transcribed together to give a single strand of mRNA known as polycistronic mRNA.
Transcription of prokaryotic...
25.7K
Repressible Operon: trp Operon01:21

Repressible Operon: trp Operon

1.8K
The trp operon in Escherichia coli exemplifies a repressible operon. It regulates the synthesis of tryptophan through repressor-mediated transcriptional control and attenuation. This dual regulatory mechanism ensures tryptophan biosynthesis occurs only when needed, conserving cellular resources.Structure of the trp OperonThe trp operon consists of five structural genes (trpE, trpD, trpC, trpB, and trpA) that encode enzymes for tryptophan biosynthesis. These genes are transcribed as a single...
1.8K
Methods for Controlling Microbial Growth01:29

Methods for Controlling Microbial Growth

1.8K
Microbial growth control refers to various methods employed to inhibit, reduce, or eliminate microorganisms to ensure safety and hygiene across different settings. These methods are categorized based on the target environment and the level of microbial control required.Biocides are versatile agents designed to control microorganisms by either inhibiting their growth or outright killing them. These agents work through various physical, chemical, mechanical, or biological mechanisms. The...
1.8K
Constitutive and Regulated Gene Expression01:27

Constitutive and Regulated Gene Expression

1.3K
Gene expression in prokaryotes is governed by constitutive and regulated systems, allowing cells to balance the production of essential proteins with adaptive responses to environmental changes.Constitutive Gene ExpressionConstitutive, or housekeeping, genes are continuously expressed as they encode proteins vital for fundamental cellular processes. These include enzymes for glycolysis, ribosomal components for protein synthesis, and proteins involved in DNA replication. Their constant...
1.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A computational rule-based model of MAPK/ERK system regulation.

Scientific reports·2026
Same author

A Neyman-Pearson Framework for Modeling Cellular Decision Making Using Single-Cell TNF-NF-κB Signaling Data.

bioRxiv : the preprint server for biology·2026
Same author

Quantifying cancer- and drug-induced changes in Shannon information capacity of RTK signaling.

Scientific reports·2025
Same author

Quantifying cancer- and drug-induced changes in Shannon information capacity of RTK signaling.

bioRxiv : the preprint server for biology·2025
Same author

Information transmission in a cell monolayer: A numerical study.

PLoS computational biology·2025
Same author

Single-Cell Measurements and Modeling and Computation of Decision-Making Errors in a Molecular Signaling System with Two Output Molecules.

Biology·2023

Related Experiment Video

Updated: Feb 17, 2026

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains
06:45

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains

Published on: January 18, 2014

9.0K

Genetic toggle switch controlled by bacterial growth rate.

Joanna Jaruszewicz-Błońska1, Tomasz Lipniacki2

  • 1Institute of Fundamental Technological Research, Polish Academy of Sciences, Pawińskiego 5B, Warsaw, 02-106, Poland. jjarusz@ippt.pan.pl.

BMC Systems Biology
|December 4, 2017
PubMed
Summary

Shortening bacterial cell cycles impacts gene expression dynamics. A genetic toggle switch model shows cell cycle length influences gene expression ratios, creating a potential doubling time indicator.

Keywords:
BistabilityDNA replicationGene copy numberMathematical modelingRegulatory pathwaysStochastic simulations

More Related Videos

Light-Controlled Fermentations for Microbial Chemical and Protein Production
08:37

Light-Controlled Fermentations for Microbial Chemical and Protein Production

Published on: March 22, 2022

4.7K
Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters
09:22

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters

Published on: November 26, 2013

15.1K

Related Experiment Videos

Last Updated: Feb 17, 2026

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains
06:45

Monitoring Intraspecies Competition in a Bacterial Cell Population by Cocultivation of Fluorescently Labelled Strains

Published on: January 18, 2014

9.0K
Light-Controlled Fermentations for Microbial Chemical and Protein Production
08:37

Light-Controlled Fermentations for Microbial Chemical and Protein Production

Published on: March 22, 2022

4.7K
Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters
09:22

Rapid Synthesis and Screening of Chemically Activated Transcription Factors with GFP-based Reporters

Published on: November 26, 2013

15.1K

Area of Science:

  • Microbiology
  • Systems Biology
  • Genetics

Background:

  • Bacteria can divide faster than their DNA replicates, necessitating multiple replication rounds per cell cycle.
  • This leads to gene copy number variations, with genes near the origin of replication (ori) having higher copy numbers than those near the terminus (ter).
  • Such disparities can affect regulatory pathways involving genes at distant loci.

Purpose of the Study:

  • To investigate how cell cycle shortening influences gene expression dynamics in bacteria.
  • To model the behavior of a genetic toggle switch with genes located at different genomic positions (ori vs. ter).

Main Methods:

  • Development of a stochastic model incorporating bacterial growth and cell division.
  • Analysis of a genetic toggle switch model composed of two mutually repressing genes.
  • Simulation of gene expression changes in response to varying doubling times.

Main Results:

  • Shortening the cell cycle can induce a switch in the genetic toggle, suppressing the expression of the gene near the terminus.
  • The bistability of the toggle switch leads to significant changes (over two orders of magnitude) in gene expression ratios with a two-fold change in doubling time.
  • Increased stability of toggle states enhances sensitivity but also reaction time.

Conclusions:

  • The described mechanism can be experimentally validated using fluorescently tagged genes, potentially serving as a doubling time indicator.
  • By adjusting gene copy numbers and the location of the ter-proximal gene, a toggle switch can be engineered to report specific doubling times.
  • This system offers a method to accurately monitor deviations in bacterial doubling time.