Evidence map›Paper›PMID 40366128›Full record

ArticlemSphere2025

Correlating the oral swab microbial community with milk production metrics in Holstein dairy cows.

Joseph H Skarlupka, Madison S Cox, Andrew J Steinberger, Dino L Sbardellati, Andrew J Scheftgen, Ibrahim Zuniga-Chaves, Eric Paget, Charles Skadron, Nithya Attipetty, Jennifer C McClure and 2 more

Abstract read
In one paragraph

Article in mSphere, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

12 authors.

Joseph H SkarlupkaMicrobiology Doctoral Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-0946-5061
Madison S CoxMicrobiology Doctoral Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Andrew J SteinbergerMicrobiology Doctoral Training Program, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Dino L SbardellatiDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Andrew J ScheftgenDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Ibrahim Zuniga-ChavesDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Eric PagetDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Charles SkadronDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Nithya AttipettyDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.
Jennifer C McClureUSDA Dairy Forage Research Center, Madison, Wisconsin, USA.
Derek M BickhartUSDA Dairy Forage Research Center, Madison, Wisconsin, USA.
Garret SuenDepartment of Bacteriology, University of Wisconsin-Madison, Madison, Wisconsin, USA.ORCID 0000-0002-6170-711X

Funding

Agricultural Research Service 2020-02849National Science Foundation 2137424U.S. Department of Agriculture 2020-67015-31576U.S. Department of Agriculture 2021-67015-33415U.S. Department of Agriculture WIS04039
6 · The paper itself

Abstract

Oral swabs of dairy cows have been suggested as a proxy for direct ruminal sampling, and this approach can identify the presence of up to 70% of the rumen microbial community. Here, we further extend the utility of this approach by correlating the bacterial community of swabs collected from 226 dairy cows on a research farm in Wisconsin, USA, with average milk yield and days in milk, two phenotypes previously associated with differences in the ruminal microbiome. We then obtained milk production efficiency data for a subset of these animals (gross feed efficiency [GFE] and residual feed intake [RFI]) and correlated these metrics against their associated microbial data. We found that when using the oral swabs, we could identify correlations between bacterial genera and days in milk (

Indexed as

BacteriaLactationMicrobiotaMilkMouthRumenAnimalsCattleDairyingFemaleRNA, Ribosomal, 16SWisconsinRNA, Ribosomal, 16Smilk production efficiencymilk yieldnext-generation sequencingoral communityoral swabrumen community

Identifiers

PMID40366128
PMCPMC12188706

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.