Evidence map›Paper›PMID 39327429›Full record

ArticleNature communications2024

Exploring microbial diversity and biosynthetic potential in zoo and wildlife animal microbiomes.

Georges P Schmartz, Jacqueline Rehner, Miriam J Schuff, Leidy-Alejandra G Molano, Sören L Becker, Marcin Krawczyk, Azat Tagirdzhanov, Alexey Gurevich, Richard Francke, Rolf Müller and 2 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 16S rRNA sequence captures microbial functional potential.bioRxiv : the preprint server for biology · 2026
    Article
  5. Antimicrobial Resistance inVeterinary sciences · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. 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

12 authors.

Georges P Schmartz *Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Jacqueline Rehner *Institute of Medical Microbiology and Hygiene, 66421 Saarland University, Homburg, Germany.ORCID 0000-0003-1335-4898
Miriam J SchuffInstitute of Medical Microbiology and Hygiene, 66421 Saarland University, Homburg, Germany.
Leidy-Alejandra G MolanoChair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.ORCID 0000-0003-0069-6098
Sören L BeckerInstitute of Medical Microbiology and Hygiene, 66421 Saarland University, Homburg, Germany.ORCID 0000-0003-3634-8802
Marcin KrawczykDepartment of Medicine II, 66421 Saarland University, Homburg, Germany.ORCID 0000-0002-0113-0777
Azat TagirdzhanovChair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.ORCID 0000-0002-6185-0821
Alexey GurevichHelmholtz Institute for Pharmaceutical Research Saarland, Helmholtz Center for Infection Research, 66123, Saarbrücken, Germany.
Richard FranckeZoo Saarbücken, 66121, Saarbrücken, Germany.
Rolf MüllerHelmholtz Institute for Pharmaceutical Research Saarland, Helmholtz Center for Infection Research, 66123, Saarbrücken, Germany.ORCID 0000-0002-1042-5665
Verena Keller *Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany.
Andreas Keller *Chair for Clinical Bioinformatics, Saarland University, 66123, Saarbrücken, Germany. andreas.keller@ccb.uni-saarland.de.ORCID 0000-0002-5361-0895

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 469073465
6 · The paper itself

Abstract

Understanding human, animal, and environmental microbiota is essential for advancing global health and combating antimicrobial resistance (AMR). We investigate the oral and gut microbiota of 48 animal species in captivity, comparing them to those of wildlife animals. Specifically, we characterize the microbiota composition, metabolic pathways, AMR genes, and biosynthetic gene clusters (BGCs) encoding the production of specialized metabolites. Our results reveal a high diversity of microbiota, with 585 novel species-level genome bins (SGBs) and 484 complete BGCs identified. Functional gene analysis of microbiomes shows diet-dependent variations. Furthermore, by comparing our findings to wildlife-derived microbiomes, we observe the impact of captivity on the animal microbiome, including examples of converging microbiome compositions. Importantly, our study identifies AMR genes against commonly used veterinary antibiotics, as well as resistance to vancomycin, a critical antibiotic in human medicine. These findings underscore the importance of the 'One Health' approach and the potential for zoonotic transmission of pathogenic bacteria and AMR. Overall, our study contributes to a better understanding of the complexity of the animal microbiome and highlights its BGC diversity relevant to the discovery of novel antimicrobial compounds.

Indexed as

Animals, WildAnimals, ZooAnti-Bacterial AgentsGastrointestinal MicrobiomeMicrobiotaAnimalsBacteriaBiodiversityBiosynthetic PathwaysDrug Resistance, BacterialHumansMultigene FamilyVancomycinAnti-Bacterial AgentsVancomycin

Identifiers

PMID39327429
PMCPMC11427580

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.