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Updated: Jun 12, 2025

Author Spotlight: Designing Simple and Inexpensive Techniques to Grow Methane-Oxidizing Bacteria in the Laboratory

Author Spotlight: Designing Simple and Inexpensive Techniques to Grow Methane-Oxidizing Bacteria in the Laboratory

Published on: September 6, 2024

Methane-oxidizing bacterial community dynamics in sub-alpine forest soil.

Delaney G Beals¹, J Jackson Munn¹, Aaron W Puri¹

¹Department of Chemistry and the Henry Eyring Center for Cell and Genome Science, University of Utah, Salt Lake City, Utah, USA.

Microbiology Spectrum

|September 17, 2024

Summary

Active methane-oxidizing bacteria in forest soil show distinct community structures and correlations with other microbes. Understanding these microbial dynamics is key to estimating greenhouse gas budgets.

Keywords:

16S rRNA forest soil methane flux methanotrophs methylotrophs

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Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Soil Lysimeter Excavation for Coupled Hydrological, Geochemical, and Microbiological Investigations

Published on: September 11, 2016

Area of Science:

Environmental microbiology
Biogeochemistry
Soil science

Background:

Methane-oxidizing bacteria (methanotrophs) are crucial for regulating atmospheric methane, a potent greenhouse gas.
Forest soil microbial communities significantly influence global methane cycling.
Limited understanding of active microbial populations hinders accurate methane budget estimations.

Purpose of the Study:

To compare the composition and activity of total versus potentially active microbial communities in sub-alpine forest soil.
To investigate the environmental and ecological factors shaping methane-oxidizing bacterial communities.
To assess the relationship between microbial community structure and methane flux.

Main Methods:

16S rRNA gene amplicon sequencing of total genomic DNA (gDNA) and complementary DNA (cDNA).
Comparison of riparian and upland soils across two time points during the growing season.
Analysis of correlations between microbial community composition and methane flux.

Main Results:

Potentially active microbial communities (cDNA) showed higher diversity and abundance of methanotrophs than total communities (gDNA).
Distinct differences in community composition and drivers were observed between gDNA and cDNA libraries, and between soil types and time points.
No significant correlation was found between methanotroph abundance/activity and methane flux.
Positive correlations existed between specific methanotrophs (Methylococcaceae) and associated non-methanotrophic methylotrophs in active communities.

Conclusions:

Potentially active microbial populations provide a more accurate view of functional communities involved in methane cycling.
Complex interactions exist between methane-cycling bacteria and their environment, influencing methane flux.
Further in situ studies are needed to elucidate the ecological roles of these microbial consortia in methane biogeochemistry.