Exploring human-to-food contamination potential: Genome-based analysis of diversity, toxin repertoire, and antimicrobial resistance of methicillin-resistant Staphylococcus aureus in United Arab Emirates retail meat

Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) has moved beyond healthcare settings and is increasingly documented in food, yet genomic data from the Arabian Peninsula are scarce. This study aimed to characterize the genomic diversity, antimicrobial-resistance (AMR), and virulence repertoire of MRSA in retail red meat sold in Dubai, United Arab Emirates (UAE), and to evaluate evidence for potential human-to-food transmission. In a cross-sectional survey (September 2024 - February 2025), 140 red-meat samples (beef, mutton, camel) were collected from supermarket chains. Fifty-one MRSA isolates were confirmed by multiplex PCR and phenotypic testing. Short-read whole-genome sequencing was followed by bioinformatic characterization of the isolates for clonal complex (CC) multilocus sequence typing (ST), <i>spa</i> typing, SCC<i>mec</i> assignment, AMR and virulence genes identification, plasmid-replicon detection, and core-genome phylogeny. Genotype, meat commodity, and products' origin associations were statistically assessed. Eight sequence types were detected; CC5-ST6 (27.5 %) and CC8-ST789 (23.5 %) predominated. SCC<i>mec</i> IV and V accounted for 82.3 % of genomes, and no livestock-associated CC398 was found. CC5/ST6-t304 and CC8-t091 comprised 47 % of isolates but showed no association with meat type (<i>p</i> = 0.451). Core-genome analysis split the collection into six clusters with shallow branch lengths, signaling recent clonal expansion across local and imported meat products. All genomes carried the methicillin resistance <i>mecA</i> gene plus a median of five additional resistance genes; 41 % carried multidrug-resistant determinants. Classical enterotoxin genes occurred in 80.4 % of isolates, and Panton-Valentine leukocidin genes in 27.5 %, mainly within CC8 and CC22. Distinct plasmid backbones-RepA_N-RepL-Rep_trans in CC5-ST6 and Inc18-Rep3 in CC8-ST789-were associated with lineage-specific AMR profiles. Retail red meat in the UAE is contaminated by clinically important, community-associated MRSA clones, likely introduced via human handling rather than animal reservoirs. Genomic surveillance at the human-food interface can guide regional One Health policies and help curb foodborne antimicrobial resistance dissemination.

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Journal
One Health
Published
2025-09-23
DOI
https://doi.org/10.1016/j.onehlt.2025.101216
Citations
1
Primary Topic
Identification and Quantification in Food
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article
Field-Weighted Citation Impact
0.81
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article

Exploring human-to-food contamination potential: Genome-based analysis of diversity, toxin repertoire, and antimicrobial resistance of methicillin-resistant Staphylococcus aureus in United Arab Emirates retail meat

Mohamed-Yousif Ibrahim Mohamed, Dean Everett, Akela Ghazawi, Abiola Catherine Senok et al.
1 citations
One Health
Identification and Quantification in Food
0.81
article

Exploring human-to-food contamination potential: Genome-based analysis of diversity, toxin repertoire, and antimicrobial resistance of methicillin-resistant Staphylococcus aureus in United Arab Emirates retail meat

Mohamed-Yousif Ibrahim Mohamed, Dean Everett, Akela Ghazawi, Abiola Catherine Senok, Danesh Moradigaravand, Rania Nassar, Stefan Monecke, Richard V. Goering, Ralf Ehricht, Glindya Bhagya Lakshmi, Ihab Habib, Mushtaq Ahmad Khan
article en
1 citations

Abstract

Methicillin-resistant <i>Staphylococcus aureus</i> (MRSA) has moved beyond healthcare settings and is increasingly documented in food, yet genomic data from the Arabian Peninsula are scarce. This study aimed to characterize the genomic diversity, antimicrobial-resistance (AMR), and virulence repertoire of MRSA in retail red meat sold in Dubai, United Arab Emirates (UAE), and to evaluate evidence for potential human-to-food transmission. In a cross-sectional survey (September 2024 - February 2025), 140 red-meat samples (beef, mutton, camel) were collected from supermarket chains. Fifty-one MRSA isolates were confirmed by multiplex PCR and phenotypic testing. Short-read whole-genome sequencing was followed by bioinformatic characterization of the isolates for clonal complex (CC) multilocus sequence typing (ST), <i>spa</i> typing, SCC<i>mec</i> assignment, AMR and virulence genes identification, plasmid-replicon detection, and core-genome phylogeny. Genotype, meat commodity, and products' origin associations were statistically assessed. Eight sequence types were detected; CC5-ST6 (27.5 %) and CC8-ST789 (23.5 %) predominated. SCC<i>mec</i> IV and V accounted for 82.3 % of genomes, and no livestock-associated CC398 was found. CC5/ST6-t304 and CC8-t091 comprised 47 % of isolates but showed no association with meat type (<i>p</i> = 0.451). Core-genome analysis split the collection into six clusters with shallow branch lengths, signaling recent clonal expansion across local and imported meat products. All genomes carried the methicillin resistance <i>mecA</i> gene plus a median of five additional resistance genes; 41 % carried multidrug-resistant determinants. Classical enterotoxin genes occurred in 80.4 % of isolates, and Panton-Valentine leukocidin genes in 27.5 %, mainly within CC8 and CC22. Distinct plasmid backbones-RepA_N-RepL-Rep_trans in CC5-ST6 and Inc18-Rep3 in CC8-ST789-were associated with lineage-specific AMR profiles. Retail red meat in the UAE is contaminated by clinically important, community-associated MRSA clones, likely introduced via human handling rather than animal reservoirs. Genomic surveillance at the human-food interface can guide regional One Health policies and help curb foodborne antimicrobial resistance dissemination.

One HealthVol. 21
Khalifa University of Science and Technology (AE), United Arab Emirates University (AE), CHI Health Creighton University Medical Center - Bergan Mercy (US), Leibniz Institute of Photonic Technology (DE), Mohammed Bin Rashid University of Medicine and Health Sciences (AE), InfectoGnostics Research Campus Jena (DE), King Abdullah University of Science and Technology (SA), Friedrich Schiller University Jena (DE), Cardiff University (GB), Zayed University (AE)
Openalex Percentile: Top 23%
Identification and Quantification in Food
0.81
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