Evidence map›Paper›PMID 42436613›Full record

ArticleThe ISME journal2026

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

Ioanna-Theoni Vourlaki, Ori Furman, Ilma Tapio, Le Luo Guan, Sinéad M Waters, David Kenny, Paul Smith, Stuart F Kirwan, David Kelly, Ross Evans and 11 more

Abstract read
In one paragraph

Article in The ISME journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Ioanna-Theoni VourlakiAnimal Breeding and Genetics Program, IRTA, Torre Marimon, 08140 Caldes de Montbui, Spain.ORCID 0000-0002-3381-5287
Ori FurmanDepartment of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.
Ilma TapioGenomics and Breeding, Natural Resources Finland (Luke), Jokioinen 31600, Finland.
Le Luo GuanFaculty of Land and Food Systems, The University of British Columbia, V6T 1Z4 Vancouver, Canada.ORCID 0000-0002-8420-4371
Sinéad M WatersSchool of Biological and Chemical Sciences and Ryan Institute, University of Galway, Galway H91 TK33, Ireland.
David KennyAnimal and Bioscience Department, Teagasc Grange, Dunsany, Co. Meath C15 PW93, Ireland.
Paul SmithAnimal and Bioscience Department, Teagasc Grange, Dunsany, Co. Meath C15 PW93, Ireland.ORCID 0000-0002-6663-0422
Stuart F KirwanDepartment of Animal Science, University of California, Davis, CA 95616, United States.
David KellyIrish Cattle Breeding Federation, Link Road, Ballincolling, Co. Cork, P31 D452, Ireland.ORCID 0000-0003-4776-3577
Ross EvansIrish Cattle Breeding Federation, Link Road, Ballincolling, Co. Cork, P31 D452, Ireland.
Raquel QuintanillaAnimal Breeding and Genetics Program, IRTA, Torre Marimon, 08140 Caldes de Montbui, Spain.
Miriam PilesAnimal Breeding and Genetics Program, IRTA, Torre Marimon, 08140 Caldes de Montbui, Spain.
Antonio ReverterCSIRO Agriculture and Food, St. Lucia, Brisbane, QLD 4067, Australia.
Pâmela A AlexandreCSIRO Agriculture and Food, St. Lucia, Brisbane, QLD 4067, Australia.
Fuyong LiDepartment of Animal Science and Technology, College of Animal Sciences, Zhejiang University, Hangzhou 310058, PR China.
Philip C GarnsworthySchool of Biosciences, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, United Kingdom.
Paolo BaniDepartment of Animal Science, Food and Nutrition, Università Cattolica del Sacro Cuore, 29122 Piacenza, Italy.
Phillip B PopeCentre for Microbiome Research, School of Biomedical Sciences, Queensland University of Technology (QUT), Translational Research Institute, Woolloongabba, QLD 4102, Australia.
Diego P MorgaviUniversité Clermont Auvergne, INRAE, VetAgro Sup, UMR Herbivores, Saint-Genès-Champanelle F-63122, France.
Itzhak MizrahiDepartment of Life Sciences, Ben-Gurion University of the Negev, Beer-Sheva 84105, Israel.ORCID 0000-0001-6636-8818
Yuliaxis Ramayo-CaldasAnimal Breeding and Genetics Program, IRTA, Torre Marimon, 08140 Caldes de Montbui, Spain.

Funding

Agence Nationale de la Recherche ANR-15-CE20-0014APIS-GENEHoloRuminantIrish Department of Agriculture Food and the Marine (DAFM) Research Stimulus Fund 2023RP904 2023-2027RuminOmics 289319
6 · The paper itself

Abstract

The cattle rumen microbiota represents a complex and dynamic ecosystem whose organization and relationship to host phenotypes are important for food security and environmental sustainability. We analyzed rumen microbiota profiles from 2496 cattle representing five breeds and production systems across five countries, identifying microbial co-abundance groups termed Ruminosignatures. We detected 14 distinct Ruminosignatures, including 2 observed across all populations dominated by Prevotella and UBA2810. Additional Ruminosignatures showed breed- and diet-specific patterns and collectively explained 96%-99% of variance in rumen microbial composition. Integrative cross-country analysis confirmed 10 out of 14 Ruminosignatures identified in cohort-specific analyses. Several Ruminosignatures were associated with methane emissions and feed efficiency traits and were partially under host genetic control, with heritability estimates ranging from 0.09 to 0.58. Structural equation modeling revealed consistent negative genetic and phenotypic correlations between the UBA2810-dominated Ruminosignature (RS_UBA2) and methane emissions across cohorts (rg = -0.40 to -0.65), with structural coefficients concordant in sign across all populations, supporting the expected direction of phenotypic response to selection on RS_UBA2. Meta-analysis confirmed positive associations of RS_UBA2 with average daily gain and negative associations with methane-related traits and feed conversion ratio. Functional genome-based predictions suggested RS_UBA2 may reduce methanogenesis through alternative hydrogen utilization pathways competing with methanogenic archaea. Production system type influenced both Ruminosignature occurrence and relationships with host phenotypes, emphasizing the relevance of context-specific strategies for microbiome modulation. Our findings highlight the potential of the Ruminosignatures framework for microbiome-informed breeding programs aimed at improving feed efficiency while reducing the environmental impact of cattle production.

Indexed as

Gastrointestinal MicrobiomeMethaneRumenAnimal FeedAnimalsBacteriaBreedingCattleDietMethaneagriculturebreedingcattlefeed efficiencyheritabilitymethanerumen microbiotaRuminosignatures

Identifiers

PMID42436613
PMCPMC13573583

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.