Evidence map›Paper›PMID 39966419›Full record

ArticleNPJ biofilms and microbiomes2025

Newly identified species from the dog dental plaque microbiome highlight little overlap with humans.

Vitor Heidrich, Gloria Fackelmann, Milka Malesevic, Federica Armanini, Hrituraj Dey, Claudia Mengoni, Nemanja Stanisavljevic, Goran Vukotic, Nicola Segata

Abstract read
In one paragraph

Article in NPJ biofilms and microbiomes, 2025. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. One Health, One Microbiome.Microbiome · 2025
    Review
  5. PostbioticAnimals : an open access journal from MDPI · 2025
    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

9 authors.

Vitor HeidrichDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Gloria FackelmannDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Milka MalesevicInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Federica ArmaniniDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Hrituraj DeyDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Claudia MengoniDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy.
Nemanja StanisavljevicInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Goran VukoticInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Nicola SegataDepartment of Cellular, Computational and Integrative Biology, University of Trento, Trento, Italy. nicola.segata@unitn.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understudied pet-associated microbiomes represent a rich source for the discovery of microbial taxa important for pet and human health. From a cohort of 23 dogs, we sampled and metagenomically sequenced 64 dental plaque microbiomes, generating 1945 metagenome-assembled genomes spanning 347 microbial species, including 277 undercharacterized species without cultivated representatives. Integration with human microbiome data revealed the dog plaque microbiome is more diverse than - and shows little overlap (5.9% species in common) with - the human plaque microbiome, even though some shared periodontal pathobionts arise as a potential concern.

Indexed as

BacteriaDental PlaqueMicrobiotaAnimalsDogsHumansMetagenomeMetagenomicsPhylogenyRNA, Ribosomal, 16SSequence Analysis, DNARNA, Ribosomal, 16S

Identifiers

PMID39966419
PMCPMC11836392

What OpenQuestion holds

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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.