Evidence map›Paper›PMID 41951635›Full record

ArticleScientific data2026

Metagenome-assembled genomes, and gene and protein catalogues from the global wild boar faecal microbiome.

Yu Chyuan Heng, Sumit Singh Dagar, Katerina Fliegerova, Giuseppe Moniello, Wakako Ikeda-Ohtsubo, Kei Okuda, Sandra Kittelmann

Abstract readDataset
In one paragraph

Article in Scientific data, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

7 authors.

Yu Chyuan HengWilmar International Limited, Singapore, 138568, Singapore. yuchyuan.heng@sg.wilmar-intl.com.ORCID 0000-0001-9754-5258
Sumit Singh DagarAgharkar Research Institute, Pune, Maharashtra, 411004, India.
Katerina FliegerovaInstitute of Animal Physiology and Genetics, CAS, Prague, 14220, Czech Republic.
Giuseppe MonielloDepartment of Veterinary Medicine, University of Sassari, Via Vienna 2, Sassari, 07100, Italy.
Wakako Ikeda-OhtsuboGraduate School of Agricultural Science, Tohoku University, Sendai, 980-8572, Japan.
Kei OkudaFaculty of Human Environmental Studies, Hiroshima Shudo University, Hiroshima, 731-3195, Japan.
Sandra KittelmannWilmar International Limited, Singapore, 138568, Singapore. sandra.kittelmann@sg.wilmar-intl.com.ORCID 0000-0002-6019-9854

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prophylactic antibiotic use in pig farming has contributed to the rise of antimicrobial resistance, spurring interest in probiotics to enhance pig gut health and immunity. Wild relatives of domestic pigs may harbour beneficial microbes, yet their gut microbiomes remain underexplored. In this study, we reconstructed 3,288 metagenome-assembled genomes (MAGs) from 89 wild boar faecal samples collected across four countries, all meeting at least MIMAG medium-quality standard (≥50% completeness, <10% contamination). These MAGs represented 968 distinct species, including 956 bacterial species from 113 families and 419 genera, and 12 archaeal species from 2 families and 7 genera, with half classified as novel. In addition, we also constructed catalogues of genes and proteins from the wild boar faecal metagenomes. Notably, most species (58%), genes and proteins (85%) identified in the wild boar faecal microbiomes were absent from equivalent catalogues of domestic pigs. Our catalogues highlight wild boars as a reservoir of previously untapped microbial resources for microbiome research and the exploration of biotechnological applications including probiotics.

Indexed as

FecesGastrointestinal MicrobiomeMetagenomeSus scrofaAnimalsArchaeaBacteriaSwine

Identifiers

PMID41951635
PMCPMC13237096

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.