Unknown

Dataset Information

Identification of rumen microbial biomarkers linked to methane emission in Holstein dairy cows.


ABSTRACT: Mitigation of greenhouse gas emissions is relevant for reducing the environmental impact of ruminant production. In this study, the rumen microbiome from Holstein cows was characterized through a combination of 16S rRNA gene and shotgun metagenomic sequencing. Methane production (CH4 ) and dry matter intake (DMI) were individually measured over 4-6 weeks to calculate the CH4 yield (CH4 y = CH4 /DMI) per cow. We implemented a combination of clustering, multivariate and mixed model analyses to identify a set of operational taxonomic unit (OTU) jointly associated with CH4 y and the structure of ruminal microbial communities. Three ruminotype clusters (R1, R2 and R3) were identified, and R2 was associated with higher CH4 y. The

SUBMITTER: Ramayo-Caldas Y 

PROVIDER: S-EPMC6972549 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature