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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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Methods to Assess Microbial Populations

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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Marine microbial ecosystems are shaped by distinct physicochemical limits, including high salinity, low nutrient availability, and fluctuating oxygen levels. These conditions favor smaller microbial cell sizes, which maximize their surface-to-volume ratio for efficient nutrient uptake.Microbial activity and community composition are closely linked to biogeochemical cycles, particularly in dynamic environments like estuaries, where halotolerant microbes thrive in response to variable salinity...

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Evaluating Metabolic Support in Pairwise Microbial Communities Using MetQuest.

Pratyay Sengupta1,2,3, Sandhya Vasudevan1,2, Karthik Raman4,5

  • 1Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras (IITM), Chennai, India.

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

MetQuest is a computational tool that identifies metabolic pathways in microbial communities. It calculates the Metabolic Support Index (MSI) to quantify inter-organismal metabolic benefits in pairwise communities.

Keywords:
Genome-scale metabolic modelsMetQuestMetabolic Support IndexMetabolic cross-feedingMicrobial communities

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Area of Science:

  • Computational biology
  • Microbial ecology
  • Systems biology

Background:

  • Genome-scale metabolic networks are crucial for understanding microbial metabolism.
  • Interactions within microbial communities are complex and often involve metabolic exchanges.
  • Quantifying the benefits of these metabolic exchanges is essential for understanding community dynamics.

Purpose of the Study:

  • To introduce MetQuest, a computational tool for enumerating feasible metabolic pathways.
  • To demonstrate the application of MetQuest in analyzing microbial communities, specifically for calculating the Metabolic Support Index (MSI).
  • To present a pipeline for computing MSI in pairwise microbial communities using genome-scale metabolic models.

Main Methods:

  • Utilizing a guided breadth-first search framework combined with dynamic programming.
  • Developing a pipeline to compute the Metabolic Support Index (MSI) from genome-scale metabolic models.
  • Applying MetQuest to analyze metabolic exchanges between microbial community members.

Main Results:

  • MetQuest successfully enumerates feasible reaction pathways in metabolic networks.
  • The study presents a method to determine the Metabolic Support Index (MSI) for pairwise microbial communities.
  • The approach was illustrated using *Acinetobacter baumannii* and *Klebsiella pneumoniae*, demonstrating cross-feeding interactions.

Conclusions:

  • MetQuest is a valuable tool for exploring metabolic pathways and community interactions.
  • The MSI metric provides insights into the benefits organisms receive from their community members.
  • The developed pipeline facilitates the analysis of metabolic support in microbial communities.