Bayesian modeling reveals host genetics associated with rumen microbiota jointly influence methane emission in dairy cows.

ABSTRACT: Reducing methane emissions from livestock production is of great importance for the sustainable management of the Earth's environment. Rumen microbiota play an important role in producing biogenic methane. However, knowledge of how host genetics influences variation in ruminal microbiota and their joint effects on methane emission is limited. We analyzed data from 750 dairy cows, using a Bayesian model to simultaneously assess the impact of host genetics and microbiota on host methane emission. We estimated that host genetics and microbiota explained 24% and 7%, respectively, of variation in host methane levels. In this Bayesian model, one bacterial genus explained up to 1.6% of the total microbiota variance. Further analysis was performed by a mixed linear model to estimate variance expla

SUBMITTER: Zhang Q 

PROVIDER: S-EPMC7368015 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature