Evidence map›Paper›PMID 38785438›Full record

ArticlemSystems2024

The impact of kit, environment, and sampling contamination on the observed microbiome of bovine milk.

C J Dean, Y Deng, T C Wehri, F Pena-Mosca, T Ray, B A Crooker, S M Godden, L S Caixeta, N R Noyes

Abstract read
In one paragraph

Article in mSystems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Assessment of bacterial diversity in bovine bulk tank milk samples from Brazil.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The gut microbiome and resistome of yellow perch (One health (Amsterdam, Netherlands) · 2024
    Article
  11. Article
  12. 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

9 authors.

C J Dean *Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA.
Y Deng *Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA.ORCID 0000-0002-7846-9680
T C WehriDepartment of Animal Science, University of Minnesota, St. Paul, Minnesota, USA.
F Pena-MoscaDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA.ORCID 0000-0002-7161-6203
T RayDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA.
B A CrookerDepartment of Animal Science, University of Minnesota, St. Paul, Minnesota, USA.
S M GoddenDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA.
L S Caixeta *Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA.
N R Noyes *Department of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, USA.ORCID 0000-0001-6149-1008

Funding

U.S. Department of Agriculture (USDA) 2018-51300-28563U.S. Department of Agriculture (USDA) MIN-62-26
6 · The paper itself

Abstract

In low-microbial biomass samples such as bovine milk, contaminants can outnumber endogenous bacteria. Because of this, milk microbiome research suffers from a critical knowledge gap, namely, does non-mastitis bovine milk contain a native microbiome? In this study, we sampled external and internal mammary epithelia and stripped and cisternal milk and used numerous negative controls, including air and sampling controls and extraction and library preparation blanks, to identify the potential sources of contamination. Two algorithms were used to mathematically remove contaminants and track the potential movement of microbes among samples. Results suggest that the majority (i.e., >75%) of sequence data generated from bovine milk and mammary epithelium samples represents contaminating DNA. Contaminants in milk samples were primarily sourced from DNA extraction kits and the internal and external skin of the teat, while teat canal and apex samples were mainly contaminated during the sampling process. After decontamination, the milk microbiome displayed a more dispersed, less diverse, and compositionally distinct bacterial profile compared with epithelial samples. Similar microbial compositions were observed between cisternal and stripped milk samples, as well as between teat apex and canal samples.

Indexed as

MicrobiotaMilkAnimalsBacteriaCattleDNA, BacterialFemaleMammary Glands, AnimalRNA, Ribosomal, 16SSpecimen HandlingDNA, BacterialRNA, Ribosomal, 16Sbacterial culturebovine milkdecontaminationmammary gland epitheliummicrobial diversitymicrobiome

Identifiers

PMID38785438
PMCPMC11237780

What OpenQuestion holds

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LicenceCC BY
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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.