Evidence map›Paper›PMID 39209855›Full record

ArticleScientific reports2024

Metagenomic characterisation of canine skin reveals a core healthy skin microbiome.

Michaella J Whittle, Juan Castillo-Fernandez, Gregory C A Amos, Phillip Watson

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. 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

4 authors.

Michaella J WhittleWaltham Petcare Science Institute, Freeby Lane, Waltham on the Wolds, Leicestershire, LE14 4RT, UK. micky.whittle@effem.com.
Juan Castillo-FernandezWaltham Petcare Science Institute, Freeby Lane, Waltham on the Wolds, Leicestershire, LE14 4RT, UK.
Gregory C A AmosWaltham Petcare Science Institute, Freeby Lane, Waltham on the Wolds, Leicestershire, LE14 4RT, UK.
Phillip WatsonWaltham Petcare Science Institute, Freeby Lane, Waltham on the Wolds, Leicestershire, LE14 4RT, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Furthering our knowledge of the skin microbiome is essential to understand health and disease in canines. To date, studies into the canine skin microbiome have focused on 16S rRNA high throughput sequencing however, these lack the granularity of species and strain level taxonomic characterisation and their associated functions. The aim of this study was to provide a comprehensive assessment of the skin microbiome by analysing the skin microbiome of 72 healthy adult colony dogs, across four distinct skin sites and four breeds, using metagenomic sequencing. Our analysis revealed that breed and skin site are drivers of variation, and a core group of taxa and genes are present within the skin microbiome of healthy dogs, comprising 230 taxa and 1219 gene families. We identified 15 species within the core microbiome that are represented by more than one strain. The biosynthesis of secondary metabolites pathway was enriched in the core microbiome suggesting the skin microbiome may play a role in colonisation resistance and protection from invading pathogens. Additionally, we uncovered the novelty of the canine skin microbiome and show that further investigation is required to increase the suitability of current databases for metagenomic sequencing of canine skin samples.

Indexed as

MetagenomicsMicrobiotaSkinAnimalsBacteriaDogsHigh-Throughput Nucleotide SequencingMetagenomeRNA, Ribosomal, 16SRNA, Ribosomal, 16S

Identifiers

PMID39209855
PMCPMC11362342

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.