Evidence map›Paper›PMID 40225900›Full record

ArticleEcology and evolution2025

Season, Body Condition and Developmental Stage Influence the Gut Microbiota of the Sole Living Rhynchocephalian Reptile (

Carmen Hoffbeck, Danielle M R L Middleton, Nicola J Nelson, Michael W Taylor

Abstract read
In one paragraph

Article in Ecology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Carmen HoffbeckSchool of Biological Sciences University of Auckland Auckland New Zealand.ORCID https://orcid.org/0000-0002-0685-8505
Danielle M R L MiddletonManaaki Whenua-Landcare Research Lincoln New Zealand.
Nicola J NelsonSchool of Biological Sciences Victoria University of Wellington Wellington New Zealand.
Michael W TaylorSchool of Biological Sciences University of Auckland Auckland New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Seasonality plays a crucial role for many species, especially reptiles. In multiple reptile species, seasonality has been linked to shifts in the gut microbiota, influenced by factors, such as ambient temperature, food availability and shifting host function across different seasons. We tested whether the tuatara, an endemic New Zealand reptile and the sole extant member of the order Rhynchocephalia, maintains a stable gut microbiota over 2 years of sampling across three seasons (summer, autumn, spring) or if the dominant bacterial community varies with season. We found that community diversity changed significantly seasonally, with the most diverse gut community found in the spring. We also found that season significantly influenced beta-diversity, as did tuatara developmental stage, tuatara body condition and tick abundance. However, there was little evidence for a recurring seasonal bacterial assemblage in 2024 compared with 2023. For tuatara where the same individual was resampled over multiple seasons, bacterial community composition appeared to be most correlated with the time of sampling, with closer temporal samples more similar to one another than samples taken further apart, which was also seen in the significance of the sampling period as a factor explaining variation across all tuatara. We identified bacterial genera that significantly increased or decreased in each season. Despite notable shifts among seasons, particularly in autumn, the tuatara gut microbiota exhibits remarkable persistence over time, including within individuals.

Indexed as

microbiomereptileseasontuatara

Identifiers

PMID40225900
PMCPMC11992361

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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.