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

The Evidence for Evolution02:55

The Evidence for Evolution

48.3K
Genetic variations accumulating within populations over generations give rise to biological evolution. Evolutionary changes can result in the formation of novel varieties and entire new species. These changes are responsible for the diverse forms of life inhabiting the planet. The evidence for evolution suggests that all living organisms descended from common ancestors.
48.3K
Convergent Evolution01:54

Convergent Evolution

33.0K
Evolution shapes the features of organisms over time, ensuring that they are suited for the environments in which they live. Sometimes, selection pressure leads to the rise of similar but unrelated adaptations in organisms with no recent common ancestors, a process known as convergent evolution.
33.0K
Switching of BJT01:22

Switching of BJT

867
Switching behavior in Bipolar Junction Transistors (BJTs) is a fundamental aspect utilized in various electronic circuits, particularly for digital logic applications like switches and amplifiers. In a typical switching circuit, a BJT alternates between cut-off and saturation modes, corresponding to the "off" and "on" states, respectively, thus behaving like an ideal switch.
Cut-off Mode ("Off" State): In this state, both the emitter-base and collector-base junctions are...
867
Eukaryotic Evolution01:24

Eukaryotic Evolution

42.1K
The endosymbiont theory is the most widely accepted theory of eukaryotic evolution; however, its progression is still somewhat debated. According to the nucleus-first hypothesis, the ancestral prokaryote first evolved a membrane to enclose DNA and form the nucleus. Conversely, the mitochondria-first hypothesis suggests that the nucleus was formed after endosymbiosis of mitochondria.
Contrary to the endosymbiont theory, the eukaryote-first hypothesis proposes that the simpler prokaryotic and...
42.1K
Synteny and Evolution02:31

Synteny and Evolution

3.8K
John H. Renwick first coined the term “synteny” in 1971, which refers to the genes present on the same chromosomes, even if they are not genetically linked. The species with common ancestry tend to show conserved syntenic regions. Therefore, the concept of synteny is nowadays used to describe the evolutionary relationship between species.
Around 80 million years ago, the human and mice lineages diverged from the common ancestor. During the course of evolution, the ancestral...
3.8K
Speed of Sound in Gases01:08

Speed of Sound in Gases

4.1K
The speed of sound in a gaseous medium depends on various factors. Since gases constitute molecules that are free to move, they are highly compressible. Hence, sound waves travel slowly through gases. Thermodynamics helps us understand the relationship between pressure, volume, and temperature of gases, thus, the speed of sound in an ideal gas can be determined using the laws of thermodynamics. At the same time, Newton's laws of motion and the continuity equation of fluid dynamics also come...
4.1K

You might also read

Related Articles

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

Sort by
Same author

An affordable fiducial marker strategy for reliable autofocus in long-term live microscopy.

Journal of microscopy·2026
Same author

Stochastic Resetting Prevails Over Sharp Restart for Broad Target Distributions.

Physical review letters·2025
Same author

Transient power-law behaviour following induction distinguishes between competing models of stochastic gene expression.

Nature communications·2025
Same author

Minimizing the profligacy of searches with reset.

Physical review. E·2024
Same author

Rapid evolution of colistin resistance in a bioreactor model of infection of Klebsiella pneumoniae.

Communications biology·2024
Same author

Substrate geometry affects population dynamics in a bacterial biofilm.

Proceedings of the National Academy of Sciences of the United States of America·2024
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
See all related articles

Related Experiment Video

Updated: Feb 9, 2026

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
08:18

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

4.6K

Phenotypic Switching Can Speed up Microbial Evolution.

Andrew C Tadrowski1, Martin R Evans2, Bartlomiej Waclaw3,4

  • 1School of Physics and Astronomy, The University of Edinburgh, Peter Guthrie Tait Road, Edinburgh, EH9 3FD, United Kingdom. andrewtadrowski@hotmail.co.uk.

Scientific Reports
|June 14, 2018
PubMed
Summary
This summary is machine-generated.

Stochastic phenotype switching helps microbial populations adapt faster to harmful mutations. This rapid adaptation, even in stable environments, can significantly speed up evolutionary processes, like bacteria developing antibiotic resistance.

More Related Videos

Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.8K
Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

2.3K

Related Experiment Videos

Last Updated: Feb 9, 2026

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC
08:18

Automated Microbial Cultivation and Adaptive Evolution using Microbial Microdroplet Culture System MMC

Published on: February 18, 2022

4.6K
Microbial Communities in Nature and Laboratory - Interview
29:13

Microbial Communities in Nature and Laboratory - Interview

Published on: May 28, 2007

6.8K
Measuring the Switch Cost of Smartphone Use While Walking
07:00

Measuring the Switch Cost of Smartphone Use While Walking

Published on: April 30, 2020

2.3K

Area of Science:

  • Microbial genetics
  • Evolutionary biology
  • Computational biology

Background:

  • Stochastic phenotype switching is known to aid microbial populations through division of labor or survival under changing conditions.
  • The role of phenotype switching in adaptation within static environments remains less explored.

Purpose of the Study:

  • To investigate the function of stochastic phenotype switching as a mechanism for faster adaptation in static environments.
  • To explore how phenotype switching can mitigate the effects of deleterious mutations.

Main Methods:

  • Utilized a computational model to simulate population dynamics.
  • Analyzed the impact of switching to alternative phenotypes on adaptation time following genetic mutations.

Main Results:

  • Phenotype switching can accelerate adaptation by allowing populations to overcome fitness valleys caused by deleterious mutations.
  • The time to adaptation can be reduced by orders of magnitude, especially when the fitness reduction is substantial.
  • This mechanism provides faster evolutionary routes for acquiring beneficial traits, such as antibiotic resistance.

Conclusions:

  • Stochastic phenotype switching serves as a crucial adaptive strategy, enabling faster recovery from detrimental genetic changes.
  • The findings support the hypothesis that phenotype switching facilitates the evolution of antibiotic resistance in bacteria by offering alternative evolutionary pathways.