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

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

23
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...
23
Applications of Molecular Taxonomy01:20

Applications of Molecular Taxonomy

24
Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
24
Overview of Archaea01:29

Overview of Archaea

27
Archaea, named after the Archaean eon, represent a unique domain of life, distinct from bacteria and eukaryotes, with remarkable traits. Their cellular and molecular features, ecological adaptability, and industrial relevance highlight their importance in understanding life processes and leveraging biotechnology.Cellular and Molecular CharacteristicsA defining feature of archaea is their unique membrane composition. Archaeal membranes contain ether-linked isoprenoid lipids, which confer...
27
Evolutionary Relationships through Genome Comparisons02:54

Evolutionary Relationships through Genome Comparisons

5.8K
Genome comparison is one of the excellent ways to interpret the evolutionary relationships between organisms. The basic principle of genome comparison is that if two species share a common feature, it is likely encoded by the DNA sequence conserved between both species. The advent of genome sequencing technologies in the late 20th century enabled scientists to understand the concept of conservation of domains between species and helped them to deduce evolutionary relationships across diverse...
5.8K
Microbial Nutrition01:28

Microbial Nutrition

38
Organisms exhibit remarkable metabolic diversity, categorized based on how they acquire energy and carbon. These strategies enable survival in various ecological niches and are essential for maintaining energy flow and nutrient cycling within ecosystems.Energy and Carbon SourcesOrganisms are classified as phototrophs or chemotrophs based on energy acquisition. Phototrophs use light as their energy source, while chemotrophs rely on oxidizing chemical compounds. Further differentiation arises...
38
Genomics02:02

Genomics

36.4K
Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
36.4K

You might also read

Related Articles

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

Sort by
Same author

Combining compositional data sets introduces error in covariance network reconstruction.

ISME communications·2024
Same author

Metabolic model-based ecological modeling for probiotic design.

eLife·2024
Same author

Minimizing the number of optimizations for efficient community dynamic flux balance analysis.

PLoS computational biology·2020
See all related articles

Related Experiment Video

Updated: Jul 11, 2025

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

18.4K

Inferring microbial interactions with their environment from genomic and metagenomic data.

James D Brunner1,2, Laverne A Gallegos-Graves1, Marie E Kroeger1

  • 1Biosciences Division, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.

Plos Computational Biology
|November 13, 2023
PubMed
Summary

This study introduces MetConSIN, a tool for analyzing microbe-metabolite interactions in microbial communities. It uses genome-scale modeling to predict community dynamics and understand environmental impacts.

More Related Videos

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere
09:55

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

26.9K
An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
08:09

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

Published on: September 15, 2015

8.8K

Related Experiment Videos

Last Updated: Jul 11, 2025

Metagenomic Analysis of Silage
08:43

Metagenomic Analysis of Silage

Published on: January 13, 2017

18.4K
Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere
09:55

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

26.9K
An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis
08:09

An Aquatic Microbial Metaproteomics Workflow: From Cells to Tryptic Peptides Suitable for Tandem Mass Spectrometry-based Analysis

Published on: September 15, 2015

8.8K

Area of Science:

  • Microbiology
  • Systems Biology
  • Bioinformatics

Background:

  • Microbial communities profoundly impact ecosystems and human health.
  • Genome-scale modeling (GSM) translates genomic data into microbial dynamics.
  • Current GSM methods often rely on simulations, limiting robust qualitative analysis.

Purpose of the Study:

  • To develop a tool for investigating microbe-metabolite interactions over time.
  • To enhance understanding and prediction of microbial community dynamics.
  • To provide a more robust qualitative analysis method for microbial ecology.

Main Methods:

  • Utilized a previously developed algorithm for simulating microbial communities from GSMs.
  • Inferred microbe-metabolite interactions within specific environmental contexts.
  • Developed a novel tool named MetConSIN (Metabolically Contextualized Species Interaction Networks).

Main Results:

  • Generated metabolically contextualized species interaction networks.
  • Enabled investigation of dynamic microbe-metabolite interactions.
  • Provided a framework for understanding how environmental metabolites shape microbial communities.

Conclusions:

  • MetConSIN offers a new approach to analyze microbial community interactions.
  • The tool aids in understanding and engineering microbial communities.
  • Metabolically contextualized networks improve predictions of microbial dynamics.