Evidence map›Paper›PMID 36997846›Full record

ArticleBMC microbiology2023

Discrete patterns of microbiome variability across timescales in a wild rodent population.

Jonathan Fenn, Christopher Taylor, Sarah Goertz, Klara M Wanelik, Steve Paterson, Mike Begon, Joe Jackson, Jan Bradley

Open access · goldAbstract read
In one paragraph

Article in BMC microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Characterization of the gut microbiome of wildFrontiers in microbiomes · 2026
    Article
  4. Review
  5. Article
  6. Article
  7. 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

8 authors at 3 institutions in 1 country.

Jonathan FennSchool of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK. jonathan.fenn2@nottingham.ac.uk.
Christopher TaylorSchool of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
Sarah GoertzSchool of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
Klara M WanelikUniversity of Liverpool, Liverpool, UK.
Steve PatersonUniversity of Liverpool, Liverpool, UK.
Mike BegonUniversity of Liverpool, Liverpool, UK.
Joe JacksonUniversity of Salford, Salford, UK.
Jan BradleySchool of Life Sciences, University of Nottingham, Nottingham, NG7 2RD, UK.
University of Nottingham · GBUniversity of Liverpool · GBUniversity of Salford · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mammalian gastrointestinal microbiomes are highly variable, both within individuals and across populations, with changes linked to time and ageing being widely reported. Discerning patterns of change in wild mammal populations can therefore prove challenging. We used high-throughput community sequencing methods to characterise the microbiome of wild field voles (Microtus agrestis) from faecal samples collected across 12 live-trapping field sessions, and then at cull. Changes in α- and β-diversity were modelled over three timescales. Short-term differences (following 1-2 days captivity) were analysed between capture and cull, to ascertain the degree to which the microbiome can change following a rapid change in environment. Medium-term changes were measured between successive trapping sessions (12-16 days apart), and long-term changes between the first and final capture of an individual (from 24 to 129 days). The short period between capture and cull was characterised by a marked loss of species richness, while over medium and long-term in the field, richness slightly increased. Changes across both short and long timescales indicated shifts from a Firmicutes-dominant to a Bacteroidetes-dominant microbiome. Dramatic changes following captivity indicate that changes in microbiome diversity can be rapid, following a change of environment (food sources, temperature, lighting etc.). Medium- and long-term patterns of change indicate an accrual of gut bacteria associated with ageing, with these new bacteria being predominately represented by Bacteroidetes. While the patterns of change observed are unlikely to be universal to wild mammal populations, the potential for analogous shifts across timescales should be considered whenever studying wild animal microbiomes. This is especially true if studies involve animal captivity, as there are potential ramifications both for animal health, and the validity of the data itself as a reflection of a 'natural' state of an animal.

Indexed as

MicrobiotaRodentiaAnimalsAnimals, WildBacteriaBacteroidetesMammalsAgingAlpha DiversityBeta DiversityCaptivityMicrobiomeWild Populations

Identifiers

PMID36997846
PMCPMC10061908
OpenAlexW4361277558

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.