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Related Concept Videos

Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...
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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...
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Describing and Designing Microbial Community Metabolic Models In Silico: A Comprehensive Protocol Utilizing FLYCOP.

Ana Del Ramo1, David San León Granado1,2, Juan Nogales3,4

  • 1Department of Systems Biology, Centro Nacional de Biotecnología CSIC, Madrid, Spain.

Methods in Molecular Biology (Clifton, N.J.)
|May 19, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a protocol for creating and analyzing microbial community metabolic models using FLYCOP. This computational tool aids in understanding microbial interactions and designing synthetic communities for biotechnology.

Keywords:
COMETSFLYCOPFlux Balance AnalysisGenome-scale metabolic modelSynthetic Microbial Consortia

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Area of Science:

  • Microbial Ecology
  • Systems Biology
  • Metabolic Engineering

Background:

  • Microbial communities are vital in natural and engineered systems, influencing biogeochemical cycles and biotechnological applications.
  • Genome-scale metabolic models (GEMs) are crucial for understanding and optimizing microbial communities.
  • Computational modeling offers insights into community dynamics, interactions, and metabolic functions.

Purpose of the Study:

  • To present a comprehensive protocol for in silico description and engineering of microbial community metabolic models.
  • To leverage FLYCOP (Flexible Synthetic Consortium Optimization) for constructing and analyzing these models.
  • To demonstrate the application of the protocol in describing biological processes and designing synthetic communities.

Main Methods:

  • Utilizing existing individual GEMs to construct condition-specific GEMs for community members.
  • Generating community-based metabolic models from individual GEMs.
  • Analyzing community-wide metabolic capabilities and interactions using FLYCOP.
  • Applying FLYCOP to model denitrification and design a synthetic violacein-producing community.

Main Results:

  • A detailed protocol for microbial community metabolic modeling is established.
  • FLYCOP is demonstrated as an effective tool for analyzing complex microbial consortia.
  • The protocol successfully models a natural process (denitrification) and a synthetic community design for biotechnological production (violacein).

Conclusions:

  • The presented protocol and FLYCOP provide a robust framework for in silico microbial community metabolic modeling.
  • This approach facilitates the understanding of microbial interactions and the engineering of synthetic microbial communities.
  • The findings support the use of computational modeling for advancing microbial ecology and synthetic biology applications.