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Updated: Apr 28, 2026

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals
Published on: September 7, 2015
Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome
Weibing Shi1, Christina D Moon2, Sinead C Leahy2
1Department of Energy, Joint Genome Institute, Walnut Creek, California 94598, USA; Genomic Division, Lawrence Berkeley National Laboratory, Berkeley, California 94720, USA;
Methane production in sheep varies due to differences in gene activity, not the amount of microbes. Understanding these transcriptional differences offers new strategies for reducing methane emissions from livestock.
Area of Science:
- Agricultural Science
- Microbiology
- Environmental Science
Background:
- Ruminant livestock are a major source of anthropogenic methane emissions.
- Methane is produced by methanogenic archaea in the digestive tracts of ruminants.
- Individual variation in methane production exists but lacks mechanistic explanation.
Purpose of the Study:
- To investigate the mechanistic basis for variation in methane production among sheep.
- To determine if differences in microbial abundance or gene activity explain methane yield variation.
Main Methods:
- Methane yields were measured in 22 sheep.
- Deep metagenomic and metatranscriptomic sequencing were employed.
- Abundance of methanogens and transcription of methanogenesis genes were analyzed.
Main Results:
- Methane yields were found to be a reproducible, quantitative trait in sheep.
- High and low methane emitters showed similar abundance of methanogens and methanogenesis genes.
- Transcription of methanogenesis pathway genes was significantly higher in high methane-emitting sheep.
Conclusions:
- Transcriptional regulation, rather than microbial composition, is a key factor in methane yield variation.
- Specific rumen methanogens and their gene transcription profiles correlate with methane production.
- Findings provide targets for mitigating methane (CH4) emissions through microbiota and transcriptional regulation.
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