Back

Ruminosignatures associated with methane emissions and feed efficiency across geographies and cattle breeds

Vourlaki, I.-T.; Furman, O.; Tapio, I.; Guan, L. L.; Waters, S. M.; Kenny, D.; Smith, P.; Kirwan, S. F.; Kelly, D.; Evans, R.; Quintanilla, R.; Reverter, A.; Alexandre, P. A.; Li, F.; Garnsworthy, P. C.; Bani, P.; Pope, P. B.; Morgavi, D. P.; Mizrahi, I.; Ramayo-Caldas, Y.

2026-02-19 microbiology
10.64898/2026.02.19.706774 bioRxiv
Show abstract

The cattle rumen microbiota represents a highly complex and dynamic ecosystem, whose organization and connection to host phenotypes are of the highest importance to food security and the environment. In this study, we analyzed the rumen microbiota, from 2,492 cattle belonging to five different breeds and production systems across five countries, categorizing them into microbial co-abundance groups referred to as Ruminosignatures. We identified twelve distinct Ruminosignatures, including two that were consistently observed across all populations and were dominated by the genus Prevotella and UBA2810. Additional Ruminosignatures showed breed-and diet-specific patterns and collectively explained 96-99% of the variance in rumen microbial composition. The abundances of several Ruminosignatures were associated with methane emissions and feed efficiency, and were influenced by host genetics, with heritability estimates ranging from 0.09 to 0.51. The Ruminosignature dominated by UAB2810 was negatively associated with methane emissions across all datasets and positively linked to feed efficiency in Holstein from Italy and crossbred from Ireland. Additionally, the type of production system affects both the occurrence of Ruminosignatures and their impact on host phenotypes, emphasizing the need for context-specific approaches to modulate the rumen microbiome. Overall, our results offer new perspectives on the assembly of ruminal microbes and underscore the potential of the Ruminosignatures framework for microbiome-informed precision agriculture and breeding initiatives aimed at enhancing feed efficiency and minimizing the environmental impact of cattle farming.

Matching journals

The top 4 journals account for 50% of the predicted probability mass.

1
mSystems
361 papers in training set
Top 0.2%
18.0%
2
Microbiome
139 papers in training set
Top 0.1%
18.0%
3
npj Biofilms and Microbiomes
56 papers in training set
Top 0.1%
9.7%
4
Nature Communications
4913 papers in training set
Top 31%
6.2%
50% of probability mass above
5
The ISME Journal
194 papers in training set
Top 0.4%
6.1%
6
Frontiers in Microbiology
375 papers in training set
Top 2%
4.0%
7
Communications Biology
886 papers in training set
Top 2%
3.5%
8
Scientific Reports
3102 papers in training set
Top 39%
3.5%
9
Molecular Ecology
304 papers in training set
Top 2%
3.0%
10
Animal Microbiome
26 papers in training set
Top 0.1%
2.0%
11
Microbial Genomics
204 papers in training set
Top 1%
1.6%
12
Applied and Environmental Microbiology
301 papers in training set
Top 2%
1.6%
13
Environmental Microbiology
119 papers in training set
Top 2%
1.6%
14
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 37%
1.3%
15
ISME Communications
103 papers in training set
Top 1%
1.3%
16
Advanced Science
249 papers in training set
Top 15%
1.2%
17
Microbiology Spectrum
435 papers in training set
Top 4%
1.2%
18
PLOS ONE
4510 papers in training set
Top 62%
1.1%
19
Environment International
42 papers in training set
Top 1%
0.9%
20
Cell Reports
1338 papers in training set
Top 31%
0.9%
21
Environmental Science & Technology
64 papers in training set
Top 2%
0.9%
22
mBio
750 papers in training set
Top 12%
0.7%
23
Microorganisms
101 papers in training set
Top 3%
0.7%
24
Computational and Structural Biotechnology Journal
216 papers in training set
Top 11%
0.6%
25
Gut Microbes
70 papers in training set
Top 1%
0.6%