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

Gene Regulation in Microbial Communities: Quorum Sensing01:28

Gene Regulation in Microbial Communities: Quorum Sensing

631
Quorum sensing is a mechanism of bacterial communication that enables coordinated gene expression in response to changes in population density. This facilitates collective behaviors that enhance survival, resource acquisition, and ecological adaptation. This process relies on small signaling molecules called autoinducers that accumulate as bacterial populations grow. When a critical threshold concentration of autoinducers is reached, bacterial cells collectively modify gene expression,...
631
What are Populations and Communities?00:30

What are Populations and Communities?

37.9K
Overview
37.9K
The Derivative as a Function01:26

The Derivative as a Function

105
A derivative quantifies how a function changes in response to variations in its input. It provides a localized rate of change, representing the slope of the tangent line to the function at any given point. When this process is applied systematically across the entire domain of the function, it yields a new function—the derivative function—which encodes the rate of change at every point. This concept is central to calculus and essential for understanding the behavior of dynamic...
105
The Uncertainty Principle04:08

The Uncertainty Principle

32.0K
Werner Heisenberg considered the limits of how accurately one can measure properties of an electron or other microscopic particles. He determined that there is a fundamental limit to how accurately one can measure both a particle’s position and its momentum simultaneously. The more accurate the measurement of the momentum of a particle is known, the less accurate the position at that time is known and vice versa. This is what is now called the Heisenberg uncertainty principle. He...
32.0K
Derivatives of the Trigonometric Functions01:26

Derivatives of the Trigonometric Functions

478
The motion of a Ferris wheel rotating at a constant speed provides an intuitive model for understanding trigonometric functions and their derivatives. As a rider moves along the circular path, the vertical height above the ground changes smoothly and periodically over time. This vertical motion can be accurately represented by a sine function, reflecting the repeating pattern of ascent and descent inherent to circular motion.Height and Rate of ChangeIf the rider’s height is modeled by a...
478
Derivatives of Logarithmic Functions01:22

Derivatives of Logarithmic Functions

94
Logarithmic and Exponential RelationshipA logarithmic function is the inverse of an exponential function. If y = logb x then, it can be rewritten as by = x. This relationship allows for implicit differentiation, making logarithmic functions useful in calculus. Logarithmic scales are widely used to represent data that span multiple orders of magnitude, such as earthquake magnitudes (Richter scale) and sound intensity (decibels).Differentiation of Logarithmic FunctionsTo differentiate y = logb x,...
94

You might also read

Related Articles

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

Sort by
Same author

How light and aggregate size shape oxygen profiles in photogranules.

Bioresource technology·2026
Same author

Corrigendum to "Modeling thermophilic syntrophic VFA oxidation using thermodynamic principles: Insights from enrichment cultures" [Bioresour. Technol. 449 (2026) 134365].

Bioresource technology·2026
Same author

Modeling thermophilic syntrophic VFA oxidation using thermodynamic principles: Insights from enrichment cultures.

Bioresource technology·2026
Same author

Impact of sulfur-cycling metabolism during microbial succession in CO<sub>2</sub>-reducing biocathodes.

Bioresource technology·2025
Same author

Recent advances and perspectives on N<sub>2</sub> fixation by microbial bioelectrochemical systems.

Bioelectrochemistry (Amsterdam, Netherlands)·2025
Same author

Higher butanol titer and selectivity in electro-fermentation experiments with Clostridium acetobutylicum ATCC 824 are due mainly to methyl viologen rather than electrode polarization.

Bioprocess and biosystems engineering·2025

Related Experiment Video

Updated: Feb 5, 2026

Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.8K

Consistent microbial dynamics and functional community patterns derived from first principles.

Hadrien Delattre1, Elie Desmond-Le Quéméner1,2, Christian Duquennoi1

  • 1Irstea, UR HBAN, F-92761, Antony, France.

The ISME Journal
|September 9, 2018
PubMed
Summary
This summary is machine-generated.

A new Microbial Transition State (MTS) theory simplifies microbial ecosystem modeling. This physics-based approach accurately predicts microbial dynamics using fewer parameters than traditional methods.

More Related Videos

Biology of Microbial Communities - Interview
14:42

Biology of Microbial Communities - Interview

Published on: May 28, 2007

9.1K
Investigating the Microbial Community in the Termite Hindgut - Interview
21:02

Investigating the Microbial Community in the Termite Hindgut - Interview

Published on: May 28, 2007

11.2K

Related Experiment Videos

Last Updated: Feb 5, 2026

Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.8K
Biology of Microbial Communities - Interview
14:42

Biology of Microbial Communities - Interview

Published on: May 28, 2007

9.1K
Investigating the Microbial Community in the Termite Hindgut - Interview
21:02

Investigating the Microbial Community in the Termite Hindgut - Interview

Published on: May 28, 2007

11.2K

Area of Science:

  • Microbial Ecology
  • Biogeochemistry
  • Theoretical Ecology

Background:

  • Microbial communities are vital for Earth's biogeochemical cycles.
  • Current ecosystem models struggle to predict microbial dynamics due to reliance on numerous empirical equations.
  • A need exists for more predictive and parsimonious microbial ecosystem models.

Purpose of the Study:

  • To introduce a new kinetic theory, Microbial Transition State (MTS) theory, for modeling microbial growth and community dynamics.
  • To demonstrate the theory's ability to predict microbial dynamics from first principles, incorporating resource limitations and energy-dependent successions.
  • To compare the predictive power and parameter efficiency of MTS theory against existing models, specifically in activated sludge communities.

Main Methods:

  • Developed a growth theory based on first principles, termed Microbial Transition State (MTS) theory.
  • Integrated MTS theory with mass and energy balance calculations.
  • Applied the MTS framework to model microbial community dynamics, including resource limitation (Liebig's Law) and successional patterns.
  • Compared MTS-derived dynamics with a conventional activated sludge model.

Main Results:

  • The MTS theory successfully accounts for multiple resource limitations, adhering to Liebig's Law.
  • Demonstrated energy-dependent microbial successions in mixed cultures without population-specific parameter calibration.
  • Modeled an activated sludge community, achieving similar growth yields and dynamics with only two parameters compared to twelve in a traditional model.
  • MTS theory provides a parsimonious yet consistent framework for microbial population and community dynamics.

Conclusions:

  • Microbial Transition State theory offers a novel, physics-grounded approach to microbial ecosystem modeling.
  • This theory significantly reduces model complexity and parameterization requirements.
  • MTS theory paves the way for developing more predictive and universally applicable microbial ecosystem models.