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Related Experiment Video

Updated: Dec 8, 2025

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

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

Published on: July 24, 2018

Temporal variation in soil bacterial communities can be confounded with spatial variation.

Syrie M Hermans¹, Hannah L Buckley², Fiona Curran-Cournane³

¹School of Biological Sciences, University of Auckland, 3A Symonds Street, Auckland 1010, New Zealand.

FEMS Microbiology Ecology

|September 19, 2020

Summary

Temporal variation in soil bacterial communities is greater in human-impacted sites and with less spatial sampling. Soil physicochemical factors, not time or space, primarily drive bacterial community changes.

Keywords:

16S rRNA environmental monitoring native forests primary forests soil health soil microbial ecology spatial variation temporal variation

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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

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Last Updated: Dec 8, 2025

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

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

Published on: July 24, 2018

A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples

A Lipid Extraction and Analysis Method for Characterizing Soil Microbes in Experiments with Many Samples

Published on: July 16, 2017

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

Area of Science:

Ecology
Microbiology
Environmental Science

Background:

Temporal variation in soil bacterial communities is crucial for understanding ecosystem dynamics and future changes.
However, temporal soil bacterial studies are scarce, and spatial heterogeneity's impact on detecting temporal shifts is unclear.

Purpose of the Study:

To investigate temporal patterns in soil bacterial communities across indigenous and human-impacted sites over five years.
To assess the influence of spatial sampling density and land use on temporal variation detection.

Main Methods:

16S rRNA gene amplicon sequencing was employed to analyze soil bacterial communities.
Sampling was conducted repeatedly over a 5-year period at indigenous forest and human-impacted locations.

Main Results:

Temporal variation was more pronounced with reduced spatial sampling per site and in human-impacted areas.
Soil physicochemical variables explained the largest portion (13-24%) of bacterial community variation, surpassing spatial distance or sampling time (<1%).

Conclusions:

Adequate spatiotemporal replication is essential for accurate soil community monitoring and environmental assessments.
Temporal research across diverse land uses is vital for a comprehensive understanding of bacterial community dynamics.