Methods Article

Divergence of Root Microbiota in Different Habitats based on Weighted Correlation Networks

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4.2K Views

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09:49 min

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September 25th, 2021

DOI :

10.3791/62205-v

September 25th, 2021

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Jing Tang*¹^,², Xinzhu He*¹, Ming Tang¹, Xiaorong Xu², Ximin Zhang¹

¹Key Laboratory of State Forestry Administration on Biodiversity Conservation in Karst Mountainous Areas of Southwestern China, School of Life Sciences, Guizhou Normal University, ²State Key Laboratory of Plant Physiology and Development in Guizhou Province, Guizhou Normal University

Podsumowanie

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Microbiota

Root Microbiota

WGCNA Algorithm

Co occurrence Network

Microbial Species

Hierarchical Clustering

Dynamic Branch Cutting

Module Size

NCBI Database

Data Visualization

Rozdziały w tym wideo

0:06

Introduction

0:46

I. Data Download

1:05

II. Optimal Power Value Determination

2:38

III. Construction of a Co-Expression Network and Module Identification

4:25

IV. Preservation Test

5:44

V. Correlation Analysis of the Module Membership

6:55

VI. Analysis of the Microbial Flora in the Microbial Differential Network Module

7:43

Resuts: Analysis of Differences in Rice delavayi Root Microbial Communities Based on Weighted Co‐Expression Network

9:18

Conclusion

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