Network analyses unraveled the complex interactions in the rumen microbiota associated with methane emission in dairy cattle
The application of Weighted Gene Co-expression Network Analysis provided a comprehensive understanding of the microbiota-methane emission relationship, serving as an innovative approach for microbiota-phenotype association studies in cattle. Our findings underscore the importance of microbiota-trait and microbiota-microbiota associations related to methane emission in dairy cattle, contributing to a systematic understanding of methane production in cattle. This research offers key information on microbial management for mitigating environmental impact on the cattle population.
Authors
- Mogens Sandø Lund (ORCID: https://orcid.org/0000-0001-5327-0897)
- Zexi Cai (ORCID: https://orcid.org/0000-0002-9579-3415)
- Goutam Sahana (ORCID: https://orcid.org/0000-0001-7608-7577)
- Xiaoxing Ye
- Bingjie Li (ORCID: https://orcid.org/0000-0002-8528-1889)
Institutions
- Aarhus University (DK)
- Scotland's Rural College (GB)
Publication Details
- Journal
- Animal Microbiome
- Published
- 2025-03-11
- DOI
- https://doi.org/10.1186/s42523-025-00386-z
- Primary Topic
- Ruminant Nutrition and Digestive Physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Directorate for Biological Sciences
- Biotechnology and Biological Sciences Research Council
- Strategic Research Council