Evidence map›Paper›PMID 40325481›Full record

ArticleAnimal microbiome2025

Superspreaders have lower gut microbial alpha-diversity and distinct gut microbial composition in a natural rodent population.

Klara M Wanelik, Mike Begon, Janette E Bradley, Jonathan Fenn, Joseph A Jackson, Steve Paterson

Abstract read
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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

6 authors.

Klara M WanelikInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK. k.wanelik@surrey.ac.uk.
Mike BegonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Janette E BradleySchool of Life Sciences, University of Nottingham, Nottingham, UK.
Jonathan FennSchool of Life Sciences, University of Nottingham, Nottingham, UK.
Joseph A JacksonSchool of Science, Engineering and Environment, University of Salford, Salford, UK.
Steve PatersonInstitute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.

Funding

Natural Environment Research Council NE/L013452/1
6 · The paper itself

Abstract

The microbiome is well known to drive variation in host states (e.g. behaviour, immunity) that would be expected to modulate the spread of infectious disease-but the role of microbiotal interactions in promoting superspreading is poorly understood. Superspreaders are individuals with a strongly disproportionate contribution to pathogen transmission, and come in two forms. Supershedders transmit infection to more individuals because they shed higher levels of pathogen. Supercontacters transmit infection to more individuals because they have larger numbers of social contacts. We explore associations between the gut microbiota and these two forms of superspreading in a wild rodent model-Bartonella spp. bacteraemia in the field vole (Microtus agrestis). We find evidence that individuals fall into distinct shedding and contacting clusters, and that higher-contacters have lower and more variable gut microbial alpha-diversity than lower-contacters. We also show evidence that both higher-shedders and higher-contacters have distinct gut microbial composition and identify OTUs that are differentially abundant in the gut microbiota of these two classes of individuals when compared to lower-shedders and lower-contacters respectively. We find that the Muribaculaceae are associated with differences in both shedding and contacting, and discuss potential mechanisms by which they may be acting on these host traits.

Identifiers

PMID40325481
PMCPMC12053855

What OpenQuestion holds

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LicenceCC BY
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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.