Evidence map›Paper›PMID 39237607›Full record

ArticleScientific reports2024

Temporal stability of the rumen microbiome and its longitudinal associations with performance traits in beef cattle.

Joana Lima, Marina Martínez-Álvaro, Jennifer Mattock, Marc D Auffret, Carol-Anne Duthie, Matthew A Cleveland, Richard J Dewhurst, Mick Watson, Rainer Roehe

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 pooled it
–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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

9 authors.

Joana LimaScotland's Rural College, Edinburgh, UK. joana.lima@sruc.ac.uk.
Marina Martínez-ÁlvaroUniversitat Politècnica de València, Valencia, Spain.
Jennifer MattockThe Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Marc D AuffretAgrifirm, Drongen, Belgium.
Carol-Anne DuthieScotland's Rural College, Edinburgh, UK.
Matthew A ClevelandGenus Plc, DeForest, WI, USA.
Richard J DewhurstScotland's Rural College, Edinburgh, UK.
Mick WatsonThe Roslin Institute and the Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Rainer RoeheScotland's Rural College, Edinburgh, UK. rainer.roehe@sruc.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/N01720X/1
6 · The paper itself

Abstract

The rumen microbiome is the focus of a growing body of research, mostly based on investigation of rumen fluid samples collected once from each animal. Exploring the temporal stability of rumen microbiome profiles is imperative, as it enables evaluating the reliability of findings obtained through single-timepoint sampling. We explored the temporal stability of rumen microbiomes considering taxonomic and functional aspects across the 7-month growing-finishing phase spanning 6 timepoints. We identified a temporally stable core microbiome, encompassing 515 microbial genera (e.g., Methanobacterium) and 417 microbial KEGG genes (e.g., K00856-adenosine kinase). The temporally stable core microbiome profiles collected from all timepoints were strongly associated with production traits with substantial economic and environmental impact (e.g., average daily gain, daily feed intake, and methane emissions); 515 microbial genera explained 45-83%, and 417 microbial genes explained 44-83% of their phenotypic variation. Microbiome profiles influenced by the bovine genome explained 54-87% of the genetic variation of bovine traits. Overall, our results provide evidence that the temporally stable core microbiome identified can accurately predict host performance traits at phenotypic and genetic level based on a single timepoint sample taken as early as 7 months prior to slaughter.

Indexed as

RumenAnimalsBacteriaCattleGastrointestinal MicrobiomeMicrobiotaPhenotypeRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID39237607
PMCPMC11377694

What OpenQuestion holds

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Registered trials

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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 OpenQuestion graph.