Evidence map›Paper›PMID 35256016›Full record

ArticleAnimal microbiome2022

The microbiome of common bedding materials before and after use on commercial dairy farms.

Tui Ray, Tara Nath Gaire, Christopher J Dean, Sam Rowe, Sandra M Godden, Noelle R Noyes

Abstract read
In one paragraph

Article in Animal microbiome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
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  5. Article
  6. Cluster ofFrontiers in veterinary science · 2025
    Article
  7. Article
  8. The gut microbiome and resistome of yellow perch (One health (Amsterdam, Netherlands) · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Transmission of antimicrobial resistance (AMR) during animal transport.EFSA journal. European Food Safety Authority · 2022
    Article
  14. Article
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

6 authors.

Tui RayDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, 55108, USA.
Tara Nath GaireDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, 55108, USA.
Christopher J DeanDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, 55108, USA.
Sam RoweDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, 55108, USA.
Sandra M GoddenDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, 55108, USA.
Noelle R NoyesDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, 55108, USA. nnoyes@umn.edu.ORCID http://orcid.org/0000-0001-6149-1008

Funding

National Institute of Food and Agriculture 2018-51300-28563
6 · The paper itself

Abstract

backgroundBovine mastitis is one of the most economically important diseases affecting dairy cows. The choice of bedding material has been identified as an important risk factor contributing to the development of mastitis. However, few reports examine both the culturable and nonculturable microbial composition of commonly used bedding materials, i.e., the microbiome. Given the prevalence of nonculturable microbes in most environments, this information could be an important step to understanding whether and how the bedding microbiome acts as a risk factor for mastitis. Therefore, our objective was to characterize the microbiome composition and diversity of bedding material microbiomes, before and after use.

methodsWe collected 88 bedding samples from 44 dairy farms in the U.S. Unused (from storage pile) and used (out of stalls) bedding materials were collected from four bedding types: new sand (NSA), recycled manure solids (RMS), organic non-manure (ON) and recycled sand (RSA). Samples were analyzed using 16S rRNA sequencing of the V3-V4 region.

resultsThe overall composition as well as the counts of several microbial taxa differed between bedding types, with Proteobacteria, Actinobacteria, Bacteroidetes and Firmicutes dominating across all types. Used bedding contained a significantly different microbial composition than unused bedding, but the magnitude of this difference varied by bedding type, with RMS bedding exhibiting the smallest difference. In addition, positive correlations were observed between 16S rRNA sequence counts of potential mastitis pathogens (bacterial genera) and corresponding bedding bacterial culture data.

conclusionOur results strengthen the role of bedding as a potential source of mastitis pathogens. The consistent shift in the microbiome of all bedding types that occurred during use by dairy cows deserves further investigation to understand whether this shift promotes pathogen colonization and/or persistence, or whether it can differentially impact udder health outcomes. Future studies of bedding and udder health may be strengthened by including a microbiome component to the study design.

Indexed as

BeddingDifferential abundanceMastitis pathogensMicrobiome

Identifiers

PMID35256016
PMCPMC8900318

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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.