Comparative genomics reveals antimicrobial resistance and population structure of chicken-associated <i>Salmonella enterica</i> serotype Typhimurium in the United States

Salmonella enterica serotype Typhimurium is a leading cause of foodborne outbreaks linked to chickens in the United States. To investigate the genomic landscape of this population, 1048 chicken-associated S. Typhimurium genomes collected nationwide were analyzed. Overall, 84.5% of isolates carried at least one antimicrobial resistance (AMR) determinant, and 34.3% displayed multidrug resistance (MDR). Sulfonamide and tetracycline resistance were most prevalent (1.03 and 1.01 AMR determinant per isolate, respectively). AMR gene (ARG) co-occurrence analysis identified strong associations among tet(A), sul1, sul2, aac(3)-VIa, and aadA1, with blaCMY-2 emerging within an expanding co-resistance cluster. ARG-plasmid replicon association analysis indicated significant positive links between sul2 and tet(A) with IncC and ColRNAI. Machine learning-driven association rule mining demonstrated that integron carriage perfectly predicted MDR, and their absence in both non-AMR and AMR but non-MDR isolates underscores their pivotal role as the defining marker of MDR. We observed a pan-genome pattern with 3855 core and 9549 accessory genes, reflecting both genomic conservation and diversity. Whole-genome phylogenetic analysis revealed two major clades, with sequence type 19 comprising 99.0% of the isolates. This research provides a comprehensive genomic characterization of chicken-associated S. Typhimurium in the United States, highlighting key AMR mechanisms relevant for food safety and public health.

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Publication Details

Journal
Letters in Applied Microbiology
Published
2025-10-31
DOI
https://doi.org/10.1093/lambio/ovaf127
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
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article

Comparative genomics reveals antimicrobial resistance and population structure of chicken-associated Salmonella enterica serotype Typhimurium in the United States

Zhao Chen, Manhua Cui
Letters in Applied Microbiology
Salmonella and Campylobacter epidemiology
article

Comparative genomics reveals antimicrobial resistance and population structure of chicken-associated Salmonella enterica serotype Typhimurium in the United States

Zhao Chen, Manhua Cui
article en

Abstract

Salmonella enterica serotype Typhimurium is a leading cause of foodborne outbreaks linked to chickens in the United States. To investigate the genomic landscape of this population, 1048 chicken-associated S. Typhimurium genomes collected nationwide were analyzed. Overall, 84.5% of isolates carried at least one antimicrobial resistance (AMR) determinant, and 34.3% displayed multidrug resistance (MDR). Sulfonamide and tetracycline resistance were most prevalent (1.03 and 1.01 AMR determinant per isolate, respectively). AMR gene (ARG) co-occurrence analysis identified strong associations among tet(A), sul1, sul2, aac(3)-VIa, and aadA1, with blaCMY-2 emerging within an expanding co-resistance cluster. ARG-plasmid replicon association analysis indicated significant positive links between sul2 and tet(A) with IncC and ColRNAI. Machine learning-driven association rule mining demonstrated that integron carriage perfectly predicted MDR, and their absence in both non-AMR and AMR but non-MDR isolates underscores their pivotal role as the defining marker of MDR. We observed a pan-genome pattern with 3855 core and 9549 accessory genes, reflecting both genomic conservation and diversity. Whole-genome phylogenetic analysis revealed two major clades, with sequence type 19 comprising 99.0% of the isolates. This research provides a comprehensive genomic characterization of chicken-associated S. Typhimurium in the United States, highlighting key AMR mechanisms relevant for food safety and public health.

Letters in Applied MicrobiologyVol. 78(11)
Center for Food Safety and Applied Nutrition (US), University of Maryland Global Campus (US), University of Maryland, College Park (US)
Openalex Percentile: Top 61%
Salmonella and Campylobacter epidemiology
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