Evidence map›Paper›PMID 42417977›Full record

ArticleApplied microbiology and biotechnology2026

Metagenomics comparison identifies shared pathogenic microbiome in humans, pigs and chickens.

Sung J Yu, Dragana Stanley, Thi T H Van, Jason C Steel, Yadav S Bajagai

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Applied microbiology and biotechnology, 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

5 authors.

Sung J YuInstitute for Future Farming Systems, Central Queensland University, Rockhampton, QLD, 4702, Australia.ORCID http://orcid.org/0000-0001-8319-5007
Dragana StanleyInstitute for Future Farming Systems, Central Queensland University, Rockhampton, QLD, 4702, Australia. d.stanley@cqu.edu.au.ORCID http://orcid.org/0000-0001-7019-4726
Thi T H VanInstitute for Future Farming Systems, Central Queensland University, Rockhampton, QLD, 4702, Australia.ORCID http://orcid.org/0000-0002-1559-568X
Jason C Steel *School of Health, Medical and Applied Sciences, Central Queensland University, Rockhampton, QLD, 4702, Australia.ORCID http://orcid.org/0000-0003-3608-7542
Yadav S Bajagai *Institute for Future Farming Systems, Central Queensland University, Rockhampton, QLD, 4702, Australia.ORCID http://orcid.org/0000-0002-3043-071X

Funding

AgriFutures Australia PRO-017656
6 · The paper itself

Abstract

Integrating human, animal, and environmental health is crucial for combating infectious diseases, as an estimated 60 to 75% of emerging infectious diseases originate from zoonotic sources globally. In this study, we analysed 1274 shotgun metagenomic faecal samples of humans, pigs, and chickens collected across multiple countries to estimate levels of microbial sharing at the species-level genome bins (SGBs) resolution. We confirm that host species, rather than geography, significantly structures the gut microbial community, as shown by alpha and beta diversity analyses. Despite this high host specificity, we identified substantial cross-host sharing of SGBs, including taxa recognised as pathogens such as Escherichia coli, Clostridium perfringens, Clostridium innocuum, Clostridium disporicum, Enterococcus species, and Streptococcus alactolyticus. Core taxa were predominantly host-specific, while non-core taxa were more frequently shared across humans, pigs, and chickens. LEfSe analysis identified distinctive microbial signatures for each host, further supporting differences in community composition. These findings demonstrate that unrelated and geographically distant humans and livestock can harbour highly similar microbial populations with pathogenic potential. This work provides molecular evidence supporting the need for integrated One Health surveillance to better detect, manage, and prevent zoonotic and reverse zoonotic transmission events across interconnected human, animal, and environmental systems. KEY POINTS: • There is substantial cross-host sharing of species-level genome bins, including potential pathogens • Core taxa are predominantly host-specific • Non-core taxa are more likely to be shared across humans, pigs, and chickens.

Indexed as

BacteriaChickensGastrointestinal MicrobiomeMetagenomicsAnimalsFecesHost SpecificityHumansSwineZoonosesFaecal microbiomeIntestinal microbiotaMetagenomicsOne HealthZooanthroponosisZoonosis

Identifiers

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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.