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Related Experiment Video

Updated: Nov 24, 2025

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
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Inferring directional relationships in microbial communities using signed Bayesian networks.

Musfiqur Sazal1, Kalai Mathee2,3, Daniel Ruiz-Perez1

  • 1Bioinformatics Research Group (BioRG), School of Computing and Information Sciences, Florida International University, Miami, 33199, FL, USA.

BMC Genomics
|December 22, 2020
PubMed
Summary
This summary is machine-generated.

Bayesian Networks (BNs) can reveal microbial community structures and colonization patterns from abundance data alone. Combining BNs with Co-occurrence Networks (CoNs) into signed BNs (sBNs) reveals directed edges consistent with colonization order.

Keywords:
Bayesian networksColonization orderConditional dependenceMicrobiomePC-stable

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Area of Science:

  • Microbiology
  • Bioinformatics
  • Computational Biology

Background:

  • Microbe-microbe and host-microbe interactions are crucial in health and disease.
  • Microbial community structure and colonization patterns are complex to infer.
  • Bayesian Networks (BNs) offer a novel approach to analyze microbial communities.

Purpose of the Study:

  • To investigate the information provided by Bayesian Networks (BNs) regarding microbial communities.
  • To explore the utility of BNs in revealing complex microbial associations.
  • To compare BNs with traditional Co-occurrence Networks (CoNs).

Main Methods:

  • Proposed a method to combine Bayesian Networks (BNs) and Co-occurrence Networks (CoNs) into a signed Bayesian Network (sBN).
  • Utilized an abundance matrix without temporal information for analysis.

Main Results:

  • Reported a significant association between directed edges in sBNs and known microbial colonization orders.
  • Demonstrated that BNs can extract colonization patterns from static data.

Conclusions:

  • BNs are powerful tools for analyzing microbial communities and inferring influences.
  • Directed edges in sBNs, particularly with negative correlations, strongly suggest colonization order.
  • BNs provide valuable insights into microbial community dynamics even without temporal data.