Evidence map›Paper›PMID 40719778›Full record

ReviewWorld journal of microbiology & biotechnology2025

The crosstalk between host and rumen microbiome in cattle: insights from multi-omics approaches and genome-wide association studies.

Xiaoxing Ye, Goutam Sahana, Mogens Sandø Lund, Zexi Cai

Abstract readReview
In one paragraph

Review in World journal of microbiology & biotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
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

4 authors.

Xiaoxing YeCenter for Quantitative Genetics and Genomics, Aarhus University, CF Møllers Allé 3, Aarhus, 8000, Denmark. xiaoxing.ye@qgg.au.dk.
Goutam SahanaCenter for Quantitative Genetics and Genomics, Aarhus University, CF Møllers Allé 3, Aarhus, 8000, Denmark.
Mogens Sandø LundCenter for Quantitative Genetics and Genomics, Aarhus University, CF Møllers Allé 3, Aarhus, 8000, Denmark.
Zexi CaiCenter for Quantitative Genetics and Genomics, Aarhus University, CF Møllers Allé 3, Aarhus, 8000, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rumen microbiome plays a pivotal role in cattle health, productivity, and environmental sustainability by driving key processes such as nutrient metabolism, feed efficiency, and methane emissions. The intricate interactions among host genome, microbiome composition, and dietary factors shape a dynamic ecosystem that underpins animal performance and sustainability outcomes. Leveraging recent advancements in sequencing technologies and multi-omics approaches, this review synthesizes emerging insights into the genetic and functional profile of the rumen microbiome. Meanwhile, association studies with microbiome and genome-wide markers have identified key microbial and genetic markers linked to methane emissions, paving the way for microbiome-driven breeding programs aimed at reducing environmental impacts. This review also addresses challenges in integrating microbiome datasets, bioinformatics workflows, and reference databases, offering strategies to overcome these obstacles through multi-omics and advanced computational tools. By highlighting actionable pathways for microbiome-informed breeding and management strategies, this work provides a novel framework for improving livestock productivity and mitigating environmental footprints.

Indexed as

Gastrointestinal MicrobiomeGenome-Wide Association StudyHost Microbial InteractionsMicrobiotaRumenAnimalsBacteriaCattleComputational BiologyGenomicsMethaneMultiomicsMethaneCattleHost-microbiome interactionsMethane mitigationMicrobiome GWASMulti-omicsRumen microbiome

Identifiers

PMID40719778
PMCPMC12304033

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.