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

4.5K
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...
4.5K
Bacterial Signaling01:30

Bacterial Signaling

42.8K
Bacterial signaling can occur within bacteria (intracellular) or between bacteria (intercellular). At times, a group of bacteria behaves like a community. To achieve this, they engage in quorum sensing, the perception of higher cell density that causes changes in gene expression. Quorum sensing involves both extracellular and intracellular signaling. The signaling cascade starts with a molecule called an autoinducer (AI). Individual bacteria produce AIs that move out of the bacterial cell...
42.8K
Exponential Growth01:29

Exponential Growth

130
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...
130
Biofilms01:29

Biofilms

1.8K
Biofilms are complex communities of microorganisms encased in a self-produced extracellular polysaccharide matrix attached to surfaces. These microbial consortia can include single or multiple species, providing enhanced survival benefits by forming organized, multilayered structures.The formation of biofilms occurs through four key stages: attachment, colonization, development, and dispersal.During attachment, free-swimming planktonic cells adhere to a surface, often facilitated by...
1.8K
Gene Regulation in Microbial Communities: Quorum Sensing01:28

Gene Regulation in Microbial Communities: Quorum Sensing

833
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,...
833
Global Regulatory Systems01:28

Global Regulatory Systems

840
Global regulatory systems in bacteria enable rapid and coordinated responses to environmental changes by integrating sensory inputs with gene expression, ensuring efficient adaptation to fluctuating conditions. Key global regulatory mechanisms include regulons, two-component systems, sigma factors, and secondary messengers.Regulons and Global RegulatorsA regulon is a collection of genes and operons controlled by a common global regulator. These regulators enable bacteria to prioritize resource...
840

You might also read

Related Articles

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

Sort by
Same author

Translation as a regulatory hub for secondary metabolism in Streptomyces spp.

Essays in biochemistry·2026
Same author

Author Correction: Streptomyces produce a diphtheria toxin-like exotoxin that targets insects.

Nature microbiology·2026
Same author

Streptomyces produce a diphtheria toxin-like exotoxin that targets insects.

Nature microbiology·2026
Same author

Direct fluorescence detection and volume electron microscopy reveal a role for antibiotic biosynthesis in the bacterial cell envelope.

bioRxiv : the preprint server for biology·2026
Same author

<i>Rothia similimucilaginosa</i> sp. nov., isolated from the human nasal cavity.

International journal of systematic and evolutionary microbiology·2026
Same author

PPE64 is a mycomembrane channel protein that functions in heme iron uptake and moonlights in biofilm formation in <i>Mycobacterium tuberculosis</i>.

mBio·2025

Related Experiment Video

Updated: Mar 16, 2026

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions
08:33

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions

Published on: August 5, 2020

7.6K

Bacterial Communities: Interactions to Scale.

Reed M Stubbendieck1, Carol Vargas-Bautista2, Paul D Straight1

  • 1Interdisciplinary Program in Genetics, Texas A&M University, College StationTX, USA; Department of Biochemistry and Biophysics, Texas A&M University, College StationTX, USA.

Frontiers in Microbiology
|August 24, 2016
PubMed
Summary
This summary is machine-generated.

Bacterial competition shapes microbial communities, impacting host health. Integrating diverse methods is key to understanding these complex bacterial interactions and community dynamics.

Keywords:
bacterial communitiesbiodiversitycompetitionecologyinteractionsmicrobiotascalingsyntrophy

More Related Videos

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

11.7K
Assembly and Tracking of Microbial Community Development within a Microwell Array Platform
09:24

Assembly and Tracking of Microbial Community Development within a Microwell Array Platform

Published on: June 6, 2017

9.7K

Related Experiment Videos

Last Updated: Mar 16, 2026

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions
08:33

Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions

Published on: August 5, 2020

7.6K
Monitoring Spatial Segregation in Surface Colonizing Microbial Populations
07:40

Monitoring Spatial Segregation in Surface Colonizing Microbial Populations

Published on: October 29, 2016

11.7K
Assembly and Tracking of Microbial Community Development within a Microwell Array Platform
09:24

Assembly and Tracking of Microbial Community Development within a Microwell Array Platform

Published on: June 6, 2017

9.7K

Area of Science:

  • Microbiology
  • Ecology
  • Systems Biology

Background:

  • Bacteria form complex multispecies communities at various scales, from small aggregates to large populations in environments like the gut.
  • The dynamics and structure of these bacterial communities are significantly influenced by pairwise interactions between different species.
  • These interactions, though occurring at a small scale, have broad consequences for macroscopic systems, including host organism health.

Purpose of the Study:

  • To review how bacterial competition influences the structure of bacterial communities.
  • To highlight methods and insights from culture-dependent studies, metagenomics, and modeling.
  • To advocate for integrating multiple approaches for a comprehensive understanding of bacterial community dynamics.

Main Methods:

  • Culture-dependent pairwise interaction studies to observe direct species interactions.
  • Metagenomic analyses to assess community composition and potential interactions in situ.
  • Mathematical modeling to simulate and predict bacterial community dynamics based on interaction data.

Main Results:

  • Competition is a key driver shaping bacterial community structures.
  • Pairwise interaction studies provide detailed insights into specific inter-species relationships.
  • Metagenomics reveals the complexity of natural communities, while modeling helps interpret these findings.

Conclusions:

  • Understanding bacterial community structure requires examining pairwise interactions.
  • Integrating culture-based, genomic, and modeling approaches offers a powerful framework.
  • Future research should focus on combining these diverse methodologies to unravel complex microbial dynamics.