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

4.1K
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...
4.1K
Modeling with Differential Equations01:25

Modeling with Differential Equations

138
Population dynamics can be described mathematically by considering the population size P(t) as a function of time. The rate of change of the population is then represented by the derivative of P(t). A simple assumption is that the rate of growth is proportional to the size of the population itself. This leads to an exponential growth model, where the population increases rapidly without bound. While this is a useful first approximation, it does not reflect realistic long-term...
138
Exponential Growth01:29

Exponential Growth

105
Bacterial populations exhibit exponential growth when conditions such as nutrient availability and temperature are favorable. In this phase, cells reproduce through binary fission, where each cell divides into two identical daughter cells. This process causes the population to double at regular intervals, resulting in a growth rate that is directly proportional to the current number of cells. As the population increases, the number of new cells formed during each generation also grows, creating...
105
Exponential Equations for Modeling Growth02:33

Exponential Equations for Modeling Growth

302
Exponential models are essential for describing rapid, multiplicative changes in natural systems, such as population growth. When a population doubles at regular intervals, the process can be modeled using a suitable base. For instance, a bacterial culture that doubles every three hours follows the model n(t)=n0⋅2t/3, where n(t) is the population at the time t.A more general model uses the natural base e, especially for continuous growth. This takes the form n(t)=n0⋅ert, where r is...
302
Operon Model01:23

Operon Model

1.8K
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...
1.8K
Stringent Response in E. coli01:23

Stringent Response in E. coli

431
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...
431

You might also read

Related Articles

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

Sort by
Same author

Bacteria sense virus-induced genome degradation via methylated mononucleotides.

Science (New York, N.Y.)·2026
Same author

Synthetically designed anti-defense proteins overcome barriers to bacterial transformation and phage infection.

Nature communications·2026
Same author

A damage accumulation model identifies distinct aging regimes across species.

Nature aging·2026
Same author

Phage RyR-domain proteins degrade ADPR-based immune signals and fuel NAD<sup>+</sup> synthesis.

bioRxiv : the preprint server for biology·2026
Same author

Functional diversity of phage sponge proteins that sequester host immune signals.

Nature microbiology·2026
Same author

Bacterial defense via RES-mediated NAD<sup>+</sup> depletion is countered by phage phosphatases.

Cell host & microbe·2026

Related Experiment Video

Updated: Mar 8, 2026

Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

25.1K

Optimality and sub-optimality in a bacterial growth law.

Benjamin D Towbin1, Yael Korem1, Anat Bren1

  • 1Department of Molecular Cell Biology, Weizmann Institute of Science, Rehovot 76100, Israel.

Nature Communications
|January 20, 2017
PubMed
Summary

Bacteria

More Related Videos

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

9.1K
A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments
20:28

A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments

Published on: October 2, 2012

14.7K

Related Experiment Videos

Last Updated: Mar 8, 2026

Precise, High-throughput Analysis of Bacterial Growth
09:00

Precise, High-throughput Analysis of Bacterial Growth

Published on: September 19, 2017

25.1K
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

9.1K
A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments
20:28

A Toolkit to Enable Hydrocarbon Conversion in Aqueous Environments

Published on: October 2, 2012

14.7K

Area of Science:

  • Microbial physiology
  • Systems biology
  • Gene regulation

Background:

  • Organisms adapt gene expression for fitness in changing environments.
  • Optimizing gene expression is crucial but challenging for cellular function.
  • The Escherichia coli carbon catabolism growth law describes a linear decline in growth rate with gene expression.

Purpose of the Study:

  • To investigate whether the bacterial carbon catabolism growth law consistently optimizes growth rate across different environments.
  • To determine if theoretical predictions about growth law optimality hold true experimentally.
  • To re-engineer gene expression strategies for improved cellular performance.

Main Methods:

  • Experimental modulation of gene expression in Escherichia coli.
  • Testing growth rates across various carbon sources and environmental perturbations.
  • Integrating theoretical modeling with genetic engineering approaches.

Main Results:

  • The carbon catabolism growth law was found to be optimal under many conditions, including lactose uptake perturbations.
  • Sub-optimal growth was observed on several other carbon sources, deviating from theoretical predictions.
  • Genetic re-engineering successfully converted sub-optimal conditions to optimal ones and vice versa.

Conclusions:

  • The carbon catabolism growth law is not universally optimal.
  • This growth law functions as a practical heuristic that is often effective but can fail in certain scenarios.
  • Experimental and theoretical approaches can be combined to understand and improve cellular regulatory mechanisms.