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Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
JoVE Journal
Biology
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JoVE Journal Biology
Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks
DOI:

09:49 min

September 25, 2021

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Chapters

  • 00:06Introduction
  • 00:46I. Data Download
  • 01:05II. Optimal Power Value Determination
  • 02:38III. Construction of a Co-Expression Network and Module Identification
  • 04:25IV. Preservation Test
  • 05:44V. Correlation Analysis of the Module Membership
  • 06:55VI. Analysis of the Microbial Flora in the Microbial Differential Network Module
  • 07:43Resuts: Analysis of Differences in Rice delavayi Root Microbial Communities Based on Weighted Co‐Expression Network
  • 09:18Conclusion

Summary

Automatic Translation

Network analysis was applied to evaluate the association of various ecological microbial communities, such as soil, water and rhizosphere. Presented here is a protocol on how to use the WGCNA algorithm to analyze different co-occurrence networks that may occur in the microbial communities due to different ecological environments.

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