Evidence map›Paper›PMID 41339959›Full record

ArticleAnimal microbiome2025

A novel dataset of 2,362 equine fecal microbiomes from veterinary teaching hospitals across three countries reveals effects of geography and disease.

Zachary L McAdams, Emma J Campbell, Rebecca A Dorfmeyer, Giedre Turner, Samantha Shaffer, Tamara Ford, Jenna Lawson, Jackson Terry, Murugesan Raju, Lyndon Coghill and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animal microbiome, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

25 authors.

Zachary L McAdamsMolecular Pathogenesis and Therapeutics Program, University of Missouri, Columbia, Mo, 65201, USA.
Emma J CampbellUniversity of Missouri, Columbia, MO, 65201, USA.
Rebecca A DorfmeyerDepartment of Pathobiology and Integrative Biomedical Sciences, University of Missouri Metagenomics Center, Columbia, MO, 65201, USA.
Giedre TurnerDepartment of Pathobiology and Integrative Biomedical Sciences, University of Missouri Metagenomics Center, Columbia, MO, 65201, USA.
Samantha ShafferCollege of Veterinary Medicine, University of Missouri, Columbia, MO, 65201, USA.
Tamara FordCollege of Veterinary Medicine, University of Missouri, Columbia, MO, 65201, USA.
Jenna LawsonUniversity of Missouri, Columbia, MO, 65201, USA.
Jackson TerryHickman High School, Columbia, MO, 65203, USA.
Murugesan RajuBond Life Sciences Center, University of Missouri Bioinformatics and Analytics Core, Columbia, MO, 65211, USA.
Lyndon CoghillCollege of Veterinary Medicine, University of Missouri, Columbia, MO, 65201, USA.
Lucia CresciCollege of Veterinary Medicine, Auburn University, Auburn, AL, 36849, USA.
Kara LascolaCollege of Veterinary Medicine, Auburn University, Auburn, AL, 36849, USA.
Tiffany PridgenCollege of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27606, USA.
Anthony BlikslagerCollege of Veterinary Medicine, North Carolina State University, Raleigh, NC, 27606, USA.
Emily BarrellDepartment of Veterinary Population Medicine, College of Veterinary Medicine, University of Minnesota, Minneapolis, MN, 55108, USA.
Heidi BanseSchool of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, 70803, USA.
Linda PaulSchool of Veterinary Medicine, Louisiana State University, Baton Rouge, LA, 70803, USA.
Alexandra GillenDepartment of Equine Clinical Science, Philip Leverhulme Equine Hospital, University of Liverpool, Chester High Road, Neston, Wirral, CH64 7TE, UK.
Sascha NottUQ VETS Equine Specialist Hospital, University of Queensland, Outer Ring Road, UQ Gatton Campus, Lawes, QLD, 4343, Australia.
Marie VandeCandelaereSydney School of Veterinary Science, The University of Sydney, Camperdown, NSW, 2006, Australia.
Gaby van GalenSydney School of Veterinary Science, The University of Sydney, Camperdown, NSW, 2006, Australia.
Kile S TownsendCollege of Veterinary Medicine, University of Missouri, Columbia, MO, 65201, USA.
Lynn M MartinCollege of Veterinary Medicine, University of Missouri, Columbia, MO, 65201, USA.
Philip J JohnsonCollege of Veterinary Medicine, University of Missouri, Columbia, MO, 65201, USA.
Aaron C EricssonMolecular Pathogenesis and Therapeutics Program, University of Missouri, Columbia, Mo, 65201, USA. ericssona@missouri.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHorses and other equids are reliant on the gut microbiome for health, and studies have reported associations between certain clinical conditions and features of the fecal microbiome. However, research to date on the equine fecal microbiome has often relied on small sample sizes collected from single and relatively localized geographic regions. Previous work also largely employs single timepoint analyses, or horses selected based on limited health criteria.

resultsTo address these limitations and expand our understanding of the core microbiome in health, and the changes associated with adverse outcomes, the Equine Gut Group (EGG) has collected and performed 16S rRNA sequencing on 2,362 fecal samples from 1,190 healthy and affected horses. This resource of 16S rRNA sequencing data with accompanying demographic and clinical metadata represent a diverse equine population in health and disease. We identified features making up the core microbiome of healthy equids and metadata factors influencing the relative abundance of those features. We then identified microbial markers of acute gastrointestinal disease at the community and taxonomic levels.

conclusionsHere we present the EGG database and demonstrate its utility in characterizing the equine microbiome in health and acute gastrointestinal disease. The EGG 16S rRNA database is a valuable resource to study the equine microbiome and its role in equine health.

Indexed as

16SEquine microbiomeGut microbiomeHorse

Identifiers

PMID41339959
PMCPMC12676801

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LicenceCC BY-NC-ND
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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.