Evidence map›Paper›PMID 41732362›Full record

ArticleData in brief2026

Gut microbiomes of wild and domesticated mammals and birds in Slovenia, Europe: 16S rRNA sequencing data.

Zlender Tanja, Rupnik Maja

Abstract read
In one paragraph

Article in Data in brief, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Zlender TanjaDepartment for microbiological research, National laboratory of health, environment and food, 2000 Maribor, Slovenia.
Rupnik MajaDepartment for microbiological research, National laboratory of health, environment and food, 2000 Maribor, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

From a One Health perspective, the gut microbiota of animals acts as a major driver of microbial exchange between animals and the environment. Animals continuously release gut microbes into their surroundings, shaping environmental and human microbial communities and potentially dispersing pathogens. Characterizing gut microbiota across diverse animal hosts is therefore critical for understanding the patterns of microbial spread through ecosystems and their impact on animal, human and environmental health. Here, we introduce a large, taxonomically diverse dataset of fecal microbiomes from 715 individual animals representing over 50 mammalian and avian species. We collected samples from both wild and domestic animals with an emphasis on capturing microbial diversity across a wide range of taxa and ecological contexts. The samples were subjected to 16S rRNA gene sequencing, targeting the V3-V4 hypervariable region. Bioinformatic analysis was performed using Usearch to generate zero-radius operational taxonomic units (ZOTUs). This dataset was generated primarily for the development of microbial source tracking (MST) assays used for identifying the sources of fecal pollution in contaminated water. However, it provides a valuable resource for broader microbiome research. It enables comparative studies across host species, trophic guilds, and environmental contexts such as domestication.

Indexed as

16S rRNA geneAnimal fecesGut microbiotaMetagenome

Identifiers

PMID41732362
PMCPMC12925480

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.