Evidence map›Paper›PMID 42693507›Full record

ArticleMicrobiologyOpen2026

Genetic Diversity and Epidemiological Overlap of Staphylococcus aureus at the Animal-Food-Environment-Human Interface Within a One Health Framework.

Pinar Sagiroglu, Dursun Alp Gundog, Candan Gungor, Kursat Koskeroglu, Mustafa Altay Atalay, Adalet Dishan, Yeliz Ucar, Aytac Akcay, Huseyin Burak Disli, Harun Hizlisoy and 3 more

Abstract read
In one paragraph

Article in MicrobiologyOpen, 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

13 authors.

Pinar SagirogluDepartment of Medical Microbiology, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.
Dursun Alp GundogVeterinary Faculty, Department of Food Hygiene and Technology, Yozgat Bozok University, Yozgat, Türkiye.
Candan GungorDepartment of Veterinary Food Hygiene and Technology, Faculty of Veterinary Medicine, Necmettin Erbakan University, Ereğli, Türkiye.
Kursat KoskerogluDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Türkiye.
Mustafa Altay AtalayDepartment of Medical Microbiology, Faculty of Medicine, Erciyes University, Kayseri, Türkiye.ORCID https://orcid.org/0000-0003-4169-0637
Adalet DishanVeterinary Faculty, Department of Food Hygiene and Technology, Yozgat Bozok University, Yozgat, Türkiye.
Yeliz UcarDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Türkiye.ORCID https://orcid.org/0000-0001-8783-3889
Aytac AkcayDepartment of Biostatistics, Ankara University, Veterinary Faculty, Ankara, Türkiye.
Huseyin Burak DisliEville and Jones, Century House, Leeds, UK.
Harun HizlisoyDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Türkiye.
Mukaddes BarelDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Türkiye.
Tekin KececiDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Türkiye.
Nurhan Ertas OnmazDepartment of Veterinary Public Health, Faculty of Veterinary Medicine, Erciyes University, Kayseri, Türkiye.ORCID https://orcid.org/0000-0002-4679-6548

Funding

Scientific Research Projects Coordinator of Erciyes University, Türkiye TCD-2020-10306
6 · The paper itself

Abstract

This study aimed to assess the genetic diversity and potential epidemiological overlap of Staphylococcus aureus using molecular (spa and SCCmec typing) and phenotypic characterization of 108 isolates obtained along the farm-to-fork continuum (dairy and meat chains) and 50 human clinical isolates. Forty-four spa types, including 17 novel patterns, were identified, with t11284 and t127 predominating among animal-related MRSA and clinical MRSA, respectively. Six SCCmec types (I-VI) were detected in the majority of isolates (85.2%), with SCCmec IVa prevalent in farm-to-fork isolates (67%) and SCCmec III dominant in clinical isolates (28%). Spa repeat-based MST analysis revealed a heterogeneous distribution of isolates across clusters, with identical spa types detected in multiple source categories, indicating genetic relatedness rather than direct transmission events. Overall, 54.6% of isolates exhibited a multidrug-resistant phenotype. Farm-to-fork isolates showed mainly β-lactam resistance (≥ 85%), whereas clinical MRSA exhibited broader resistance profiles, including high fluoroquinolone resistance (≥ 92%). PVL was detected in 41 isolates (38%), predominantly in MRSA, and was associated with SCCmec IV/V and diverse spa types. Toxin genes (tst-1, sea, seb, and sed) were mainly confined to clinical MRSA, suggesting source-associated distribution of virulence determinants. Biofilm formation was observed in 49 isolates (45.3%), more frequently among farm-to-fork isolates. Our study demonstrate marked genetic and phenotypic diversity of S. aureus across farm-to-fork and human clinical sources and suggest the presence of shared genetic lineages among isolates from different sources. The results support the importance of integrated One Health surveillance for monitoring antimicrobial-resistant and virulent S. aureus populations across interconnected ecological compartments.

Indexed as

Environmental MicrobiologyFood MicrobiologyGenetic VariationStaphylococcal InfectionsStaphylococcus aureusAnimalsAnti-Bacterial AgentsDrug Resistance, Multiple, BacterialGenotypeHumansMethicillin-Resistant Staphylococcus aureusMicrobial Sensitivity TestsMolecular EpidemiologyMolecular TypingOne HealthVirulence FactorsAnti-Bacterial AgentsVirulence FactorsCA‐MRSAgenetic diversityLA‐MRSAOne HealthSCCmecspa type

Identifiers

PMID42693507
PMCPMC13542186

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.