Understanding the relationships between rumen microbiome genes and metabolites to be used for prediction of cattle phenotypes

Mengyuan Wang, Huiru Zheng*, Haiying Wang, Richard J. Dewhurst, Rainer Roehe

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

The growing world population is facing increased future nutritional needs for meat and milk which need to be produced with minimal environmental impact, e.g. reduced methane emissions from ruminants. The combination of metagenomics and metabolomics can be effectively applied to understand rumen microbial gene expression, metabolic mechanisms that affect methane emissions and to address the challenges of ruminant production. Using 36 rumen samples derived from two omics studies, we conducted an in-depth analysis of the differences in diets and methane emissions from rumen metabolites and microbial genes. The top five integrals with significant (P<0.0001) differences in terms of their intensity measured across sample groups were found to be the same when samples were divided based on diet treatments and methane emissions. Based on the combination of statistical analysis and network approaches, this paper investigates the relationships between rumen microbial genes and integrals associated with metabolites which could be used for prediction of cattle phenotypes. Up to 98% of microbial genes and metabolites have no significant (P>0.05) linear correlation. The sample correlation network constructed using both integrals associated with metabolites and relative abundances of 20 microbial genes associated with methane emission exhibited a highly modular structure, which forms well-separated clusters according to different diet treatments. The evidence from this research confirmed the response of rumen microbes to different basal diets, and these activities subsequently affect methane emissions.

Original languageEnglish
Title of host publication3rd International Conference on Biological Information and Biomedical Engineering, BIBE 2019
PublisherVDE Verlag GmbH
Pages297-301
Number of pages5
ISBN (Electronic)9783800750269
Publication statusFirst published - 18 Nov 2019
Event3rd International Conference on Biological Information and Biomedical Engineering, BIBE 2019 - Hangzhou, China
Duration: 20 Jul 201922 Jul 2019
https://ieeexplore.ieee.org/xpl/conhome/8903323/proceeding

Publication series

Name3rd International Conference on Biological Information and Biomedical Engineering, BIBE 2019

Conference

Conference3rd International Conference on Biological Information and Biomedical Engineering, BIBE 2019
CountryChina
CityHangzhou
Period20/07/1922/07/19
Internet address

Fingerprint Dive into the research topics of 'Understanding the relationships between rumen microbiome genes and metabolites to be used for prediction of cattle phenotypes'. Together they form a unique fingerprint.

Cite this