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Related Concept Videos

Modern Molecular Taxonomy01:29

Modern Molecular Taxonomy

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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...
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Mass spectrometry is a powerful characterization technique that can identify and separate a wide variety of compounds ranging from chemical to biological entities, based on their mass-to-charge ratio (m/z). The instruments that allow this detection, known as mass spectrometers, have three components: an ion source, a mass analyzer, and a detector. These spectrometers differ based on the nature of their ion source and analyzers.Matrix-assisted laser desorption ionization (MALDI) is a commonly...
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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...
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Microbiota Analysis Using Two-step PCR and Next-generation 16S rRNA Gene Sequencing
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Interpreting Microbiome Signatures with MicrobiomeNet.

Yao Lu1,2, Khoi Nguyen Nguyen1,2, Jianguo Xia1,3

  • 1Department of Microbiology and Immunology, McGill University, Montreal, Canada.

Current Protocols
|February 28, 2026
PubMed
Summary
This summary is machine-generated.

MicrobiomeNet offers functional insights into microbial communities using genome-scale metabolic models (GEMs). This guide details how to use the platform to analyze microbial metabolism and interactions for research.

Keywords:
community functionsgenome‐scale metabolic modelmetabolic interactionmicrobiome

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Area of Science:

  • Microbiology
  • Metabolic Engineering
  • Bioinformatics

Background:

  • The human microbiome plays a crucial role in health and disease.
  • Understanding microbial metabolic functions is essential for microbiome research.
  • Existing tools often lack comprehensive functional analysis capabilities for microbiome data.

Purpose of the Study:

  • To provide a practical guide for using MicrobiomeNet, a web-based platform for microbiome functional analysis.
  • To demonstrate how to leverage genome-scale metabolic models (GEMs) for insights into microbial communities.
  • To enable researchers to explore microbial metabolic capacities and interactions.

Main Methods:

  • Utilizing MicrobiomeNet's extensive database of 12,400 GEMs and 6 million microbial signatures.
  • Performing searches for microbes, metabolites, genes, or enzymes.
  • Applying step-by-step protocols for characterizing metabolic profiles and associations.
  • Analyzing specific pathways, such as carbohydrate utilization and deoxycholic acid production.

Main Results:

  • Demonstration of how to characterize the metabolic profile of individual microbes.
  • Elucidation of methods to uncover metabolic interactions within microbial associations.
  • Practical examples of analyzing specific microbial relationships and metabolic pathways.
  • Successful identification of potential deoxycholic acid-producing gut microbes.

Conclusions:

  • MicrobiomeNet serves as a valuable resource for functional microbiome analysis.
  • The platform facilitates the exploration of microbial metabolism and interactions using GEMs.
  • This guide empowers researchers to gain deeper functional insights into complex microbial ecosystems.