Methane yield phenotypes linked to differential gene expression in the sheep rumen microbiome

Weibing Shi(Lawrence Berkeley National Laboratory), Christina D. Moon(AgResearch), Sinead C. Leahy(AgResearch), Dongwan Kang(Lawrence Berkeley National Laboratory), Jeff Froula(Lawrence Berkeley National Laboratory), Sandra Kittelmann(AgResearch), Christina Fan(Lawrence Berkeley National Laboratory), Samuel Deutsch(Lawrence Berkeley National Laboratory), Dragana Gagić(AgResearch), Henning Seedorf(AgResearch), William J. Kelly(AgResearch), Renee Atua(AgResearch), Carrie Sang(AgResearch), Priya Soni(AgResearch), Li Dong(AgResearch), C.S. Pinares-Patiño(AgResearch), John C. McEwan(AgResearch), Peter H. Janssen(AgResearch), Feng Chen(Lawrence Berkeley National Laboratory), Axel Visel(Lawrence Berkeley National Laboratory), Zhong Wang(Lawrence Berkeley National Laboratory), Graeme T. Attwood(AgResearch), Edward M. Rubin(Lawrence Berkeley National Laboratory)
Genome Research
June 6, 2014
Cited by 440Open Access
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Abstract

Ruminant livestock represent the single largest anthropogenic source of the potent greenhouse gas methane, which is generated by methanogenic archaea residing in ruminant digestive tracts. While differences between individual animals of the same breed in the amount of methane produced have been observed, the basis for this variation remains to be elucidated. To explore the mechanistic basis of this methane production, we measured methane yields from 22 sheep, which revealed that methane yields are a reproducible, quantitative trait. Deep metagenomic and metatranscriptomic sequencing demonstrated a similar abundance of methanogens and methanogenesis pathway genes in high and low methane emitters. However, transcription of methanogenesis pathway genes was substantially increased in sheep with high methane yields. These results identify a discrete set of rumen methanogens whose methanogenesis pathway transcription profiles correlate with methane yields and provide new targets for CH4 mitigation at the levels of microbiota composition and transcriptional regulation.


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