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Updated: Jun 13, 2026

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Exploring the Root Microbiome: Extracting Bacterial Community Data from the Soil, Rhizosphere, and Root Endosphere

Published on: May 2, 2018

GeoChip 3.0 as a high-throughput tool for analyzing microbial community composition, structure and functional

Zhili He¹, Ye Deng, Joy D Van Nostrand

¹Institute for Environmental Genomics and Department of Botany and Microbiology, University of Oklahoma, 101 David L. Boren Boulevard, Norman, OK 73019, USA.

The ISME Journal

|April 30, 2010

Summary

A new functional gene array (FGA), GeoChip 3.0, offers high specificity for analyzing microbial communities. This tool links microbial structure and function to ecosystem processes, revealing changes with plant diversity.

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Isolation and Analysis of Microbial Communities in Soil, Rhizosphere, and Roots in Perennial Grass Experiments

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Published on: July 24, 2018

Area of Science:

Environmental microbiology
Molecular ecology
Geomicrobiology

Background:

Functional gene arrays (FGAs) are crucial for understanding microbial community structure and function.
Existing FGAs require enhancement for broader target coverage and improved data analysis.
Microbial communities play vital roles in biogeochemical cycles and ecosystem functioning.

Purpose of the Study:

To introduce GeoChip 3.0, a next-generation FGA with expanded probe coverage and enhanced features.
To evaluate the specificity and accuracy of GeoChip 3.0 probes.
To demonstrate the utility of GeoChip 3.0 in analyzing soil microbial communities and their relationship to ecosystem properties.

Main Methods:

Development of GeoChip 3.0 with approximately 57,000 gene variants from 292 functional gene families.
Inclusion of a common oligo reference standard (CORS) for data normalization.
Computational and experimental validation of probe specificity, including false-positive rate assessment.
Application of GeoChip 3.0 to analyze soil microbial communities in a grassland ecosystem.

Main Results:

GeoChip 3.0 covers diverse functional genes involved in major biogeochemical cycles, metabolism, and degradation.
Probes demonstrated high specificity with low false-positive rates (0.0036-0.025%).
Analysis of grassland soil revealed significant shifts in microbial community structure, composition, and potential activity correlating with plant species diversity.

Conclusions:

GeoChip 3.0 is a powerful, high-throughput tool for microbial community functional analysis.
The array enables robust linking of microbial communities to ecosystem processes.
Findings highlight the impact of plant diversity on soil microbial communities and ecosystem functioning.