Evidence map›Paper›PMID 35624131›Full record

ArticleScientific reports2022

Differences in composition of interdigital skin microbiota predict sheep and feet that develop footrot.

Rachel Clifton, Emma M Monaghan, Martin J Green, Kevin J Purdy, Laura E Green

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. 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
2.8field-weighted citation impact, top 10% of its field
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, 9 citations in OpenAlex.

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  5. 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

5 authors at 3 institutions in 1 country.

Rachel CliftonInstitute of Microbiology and Infection, University of Birmingham, Edgbaston, UK. R.Clifton@bham.ac.uk.
Emma M MonaghanInstitute of Microbiology and Infection, University of Birmingham, Edgbaston, UK.
Martin J GreenSchool of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Leicestershire, UK.
Kevin J PurdySchool of Life Sciences, University of Warwick, Coventry, UK.
Laura E GreenInstitute of Microbiology and Infection, University of Birmingham, Edgbaston, UK.
University of Birmingham · GBUniversity of Nottingham · GBUniversity of Warwick · GB

Funding

Biotechnology and Biological Sciences Research Council BB/M012980/1
6 · The paper itself

Abstract

Footrot has a major impact on health and productivity of sheep worldwide. The current paradigm for footrot pathogenesis is that physical damage to the interdigital skin (IDS) facilitates invasion of the essential pathogen Dichelobacter nodosus. The composition of the IDS microbiota is different in healthy and diseased feet, so an alternative hypothesis is that changes in the IDS microbiota facilitate footrot. We investigated the composition and diversity of the IDS microbiota of ten sheep, five that did develop footrot and five that did not (healthy) at weekly intervals for 20 weeks. The IDS microbiota was less diverse on sheep 2 + weeks before they developed footrot than on healthy sheep. This change could be explained by only seven of > 2000 bacterial taxa detected. The incubation period of footrot is 8-10 days, and there was a further reduction in microbial diversity on feet that developed footrot in that incubation period. We conclude that there are two stages of dysbiosis in footrot: the first predisposes sheep to footrot and the second occurs in feet during the incubation of footrot. These findings represent a step change in our understanding of the role of the IDS microbiota in footrot pathogenesis.

Indexed as

Dichelobacter nodosusFoot RotMicrobiotaAnimalsFootSheepSkin

Identifiers

PMID35624131
PMCPMC9142565
OpenAlexW4281760115

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.