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

Antibiotic Selection00:57

Antibiotic Selection

Overview
Evolution of New Traits in Microbes01:24

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...
Evolutionary Processes in Microbes01:26

Evolutionary Processes in Microbes

Microbial evolution occurs rapidly due to short generation times and a variety of genetic processes, including horizontal gene transfer, mutation, recombination, and genetic drift. These mechanisms collectively enable microbes to adapt swiftly to changing environments.Horizontal gene transfer (HGT) allows genes to move between different species and occurs through three main mechanisms: conjugation, transformation, and transduction. Conjugation involves direct cell-to-cell contact for DNA...
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...

You might also read

Related Articles

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

Sort by
Same author

The B-type cyclin Clb4 prevents meiosis I sister centromere separation in budding yeast.

G3 (Bethesda, Md.)·2025
Same author

A ribosome-associating chaperone mediates GTP-driven vectorial folding of nascent eEF1A.

Nature communications·2025
Same author

The B-type cyclin Clb4 prevents meiosis I sister centromere separation in budding yeast.

bioRxiv : the preprint server for biology·2025
Same author

Estimating surgical blood loss: A review of current strategies in various clinical settings.

SAGE open medicine·2024
Same author

A dynamic network model predicts the phenotypes of multicellular clusters from cellular properties.

Current biology : CB·2024
Same author

Alternating selection for dispersal and multicellularity favors regulated life cycles.

Current biology : CB·2024

Related Experiment Video

Updated: May 23, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

Selective sweeps in growing microbial colonies.

Kirill S Korolev1, Melanie J I Müller, Nilay Karahan

  • 1FAS Center for Systems Biology, Harvard University, Cambridge, MA 02138, USA. papers.korolev@gmail.com

Physical Biology
|April 6, 2012
PubMed
Summary
This summary is machine-generated.

Microbial evolution experiments in spatial environments like Petri dishes can now be better understood. A new model predicts colony patterns, allowing relative fitness estimation from spiral shapes, offering an alternative to liquid culture assays.

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

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression
12:52

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression

Published on: April 18, 2021

Related Experiment Videos

Last Updated: May 23, 2026

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

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

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression
12:52

High-Throughput Live Imaging of Microcolonies to Measure Heterogeneity in Growth and Gene Expression

Published on: April 18, 2021

Area of Science:

  • Microbial evolution
  • Theoretical biology
  • Mathematical modeling

Background:

  • Evolutionary experiments are crucial for studying mutations and natural selection.
  • Traditional experiments are limited to well-mixed environments (test tubes, chemostats).
  • Spatial structure significantly impacts evolutionary dynamics, necessitating experiments in structured environments like Petri dishes.

Purpose of the Study:

  • To develop a model for understanding microbial growth patterns on Petri dishes.
  • To analytically derive and predict spatial patterns formed by competing microbial species.
  • To establish a method for estimating microbial strain fitness using spatial patterns.

Main Methods:

  • Formulation of a deterministic reaction-diffusion model for microbial colony expansion.
  • Analytical derivation of spatial pattern shapes without microscopic details.
  • Experimental validation using Saccharomyces cerevisiae strains under varying conditions.

Main Results:

  • The reaction-diffusion model accurately predicts spatial patterns of competing microbial colonies.
  • Logarithmic spirals formed during selective sweeps allow for relative fitness estimation.
  • Experimental results confirm the model's predictions and the relationship between liquid and Petri dish fitness.

Conclusions:

  • Spatial patterns in microbial colonies on Petri dishes can be analytically predicted.
  • These patterns, specifically logarithmic spirals, offer a novel method for estimating microbial fitness.
  • This spatial fitness assay complements traditional liquid culture methods.