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

234
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,...
234
Coordination of Gene Expression Processes in Bacteria01:29

Coordination of Gene Expression Processes in Bacteria

374
The DNA replication, transcription, and translation processes are intricately coupled in bacteria, allowing efficient gene expression and rapid protein synthesis. While this physical and functional coordination is advantageous, it introduces challenges that bacteria overcome through specific regulatory mechanisms.Coupling of Replication, Transcription, and TranslationThe coupling of replication, transcription, and translation is a hallmark of bacterial gene expression. As the replisome unwinds...
374
Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

369
Advancements in molecular biology have revolutionized the identification and characterization of bacteria, with multiple methods leveraging DNA sequencing for enhanced precision. As sequencing technologies improve and costs decline, these approaches are increasingly used in clinical, environmental, and evolutionary studies.Multilocus Sequence Typing (MLST) examines several housekeeping genes, essential chromosomal genes encoding cellular functions, to distinguish strains. Approximately...
369
Microbial Morphologies01:29

Microbial Morphologies

1.5K
Bacterial and archaeal cells exhibit remarkable diversity in shape and structure, critical in their adaptability and functionality. Among bacteria, the most commonly observed shapes include cocci and bacilli. Cocci are spherical and may exist singly or in groupings such as pairs (diplococci), chains (streptococci), clusters (staphylococci), or tetrads. Bacilli, in contrast, are rod-shaped and can also occur as single cells, in pairs, or chains, depending on their environmental and genetic...
1.5K
Microbial Classification System01:24

Microbial Classification System

516
Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
516
Two-Dimensional Microscopy in Microbiology01:29

Two-Dimensional Microscopy in Microbiology

839
Two-dimensional (2D) microscopy encompasses a range of optical techniques that capture images within a single focal plane, offering detailed representations of microscopic structures. These techniques are essential in biological and medical research, enabling the visualization of cellular and subcellular structures with different levels of contrast and specificity.There are several major types of 2D microscopy, each with strengths and applications.Bright-Field MicroscopyBright-field microscopy...
839

You might also read

Related Articles

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

Sort by
Same author

A pan-cancer single-cell atlas uncovers the role of sex hormones and chromosomes in sex-divergent reprogramming of the tumor microenvironment.

Cell communication and signaling : CCS·2026
Same author

Sulfated bile acid produced by a human gut commensal alleviates paediatric sepsis in mice.

Nature microbiology·2026
Same author

CRISPR Screening Reveals SAA1-Driven Neutrophil Extracellular Traps Promote CD8⁺ T Cell Dysfunction in Renal Cell Carcinoma.

Cancer research·2026
Same author

Global Soil Water Stable Isotope Dataset.

Scientific data·2026
Same author

Unraveling the colonization process of microeukaryotic communities on artificial micro-ecological islands.

Environmental microbiome·2026
Same author

Identification of Human Transferrin Receptor as an Entry Co-receptor for Parvovirus B19 Infection of Human Erythroid Progenitor Cells.

bioRxiv : the preprint server for biology·2026

Related Experiment Video

Updated: Nov 17, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.6K

Correlation-Centric Network (CCN) representation for microbial co-occurrence patterns: new insights for microbial

Pengshuo Yang1, Chongyang Tan1, Maozhen Han1

  • 1Key Laboratory of Molecular Biophysics of the Ministry of Education, College of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

NAR Genomics and Bioinformatics
|February 12, 2021
PubMed
Summary

This study introduces Correlation-Centric Networks (CCNs) to analyze microbial communities, revealing network stability insights beyond traditional species-focused approaches. CCNs highlight species correlations, offering new perspectives on community function and resilience.

More Related Videos

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy
07:00

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy

Published on: October 4, 2024

882
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.8K

Related Experiment Videos

Last Updated: Nov 17, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
09:49

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

Published on: September 25, 2021

4.6K
Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy
07:00

Microbiota of Attine Ants' Gardens: Visualizing a Microbial Landscape by Scanning Electron Microscopy

Published on: October 4, 2024

882
Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays
14:06

Mapping Bacterial Functional Networks and Pathways in Escherichia Coli using Synthetic Genetic Arrays

Published on: November 12, 2012

46.8K

Area of Science:

  • Microbiology
  • Network Science
  • Bioinformatics

Background:

  • Microbial community studies traditionally focus on individual species and their functions.
  • Large-scale metagenome projects reveal complex inter-species correlations, but changes in these correlations under disturbance remain poorly understood.
  • Existing Species-Centric Networks (SCNs) primarily analyze species (nodes) rather than the correlations (edges) between them.

Purpose of the Study:

  • To introduce and evaluate a novel Correlation-Centric Network (CCN) approach for microbial community analysis.
  • To investigate the utility of CCNs in understanding microbial community dynamics and stability, particularly under environmental disturbance.
  • To compare the information content of CCNs with traditional SCNs.

Main Methods:

  • Developed a Correlation-Centric Network (CCN) framework where nodes represent species-species correlations and edges represent shared species.
  • Applied and analyzed both CCNs and corresponding Species-Centric Networks (SCNs) using two large microbiome cohorts.
  • Assessed network connectivity changes in CCNs under simulated environmental disturbance (reduction in microbial members).

Main Results:

  • CCNs successfully captured the characteristics of SCNs while also revealing information not detectable by SCNs.
  • Microbial community analysis using CCNs demonstrated resilience, with CCN connectivity fluctuating minimally despite a decrease in community members.
  • The study identified important species correlations that are key to understanding community stability.

Conclusions:

  • Correlation-Centric Networks (CCNs) offer a powerful new perspective for microbial ecology, complementing traditional species-centric approaches.
  • CCNs provide valuable insights into the stability and resilience of microbial communities, especially in response to environmental changes.
  • Highlighting species correlations, CCNs can advance our understanding of both microbial community functions and their overall stability.