Network analyses unraveled the complex interactions in the rumen microbiota associated with methane emission in dairy cattle.

ABSTRACT:

Background

Methane emissions from livestock, particularly from dairy cattle, represent a significant source of greenhouse gas, contributing to the global climate crisis. Understanding the complex interactions within the rumen microbiota that influence methane emissions is crucial for developing effective mitigation strategies.

Results

This study employed Weighted Gene Co-expression Network Analysis to investigate the complex interactions within the rumen microbiota that influence methane emissions. By integrating extensive rumen microbiota sequencing data with precise methane emission measurements in 750 Holstein dairy cattle, our research identified distinct microbial communities and their associations with methane production. Key findings revealed that the blue module from

SUBMITTER: Ye X 

PROVIDER: S-EPMC11899718 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature