2025-08-21 ペンシルベニア州立大学(PennState)
<関連情報>
- https://www.psu.edu/news/research/story/bacteria-strains-infecting-cattle-and-humans-us-are-highly-similar
- https://journals.asm.org/doi/10.1128/aem.00689-25
米国における牛と人間におけるサルモネラ・ダブリンのゲノム進化 Genomic evolution of Salmonella Dublin in cattle and humans in the United States
Sophia M. Kenney, Nkuchia M. M’ikanatha, Erika Ganda
Applied and Environmental Microbiology Published:19 August 2025
DOI:https://doi.org/10.1128/aem.00689-25
ABSTRACT
Increasingly, antimicrobial-resistant (AMR) Salmonella Dublin is a threat to human and animal health, therefore requiring a One Health approach to comprehensively understand pathogen evolution. Moreover, S. Dublin dissemination throughout the United States and the food supply chain is a concern for food safety and security. Here, we leveraged multi-agency biosurveillance data and genomic sequencing of S. Dublin strains to provide a robust analysis of its evolution across human, animal, and environmental reservoirs. This study advances our understanding of AMR S. Dublin, elucidates factors driving AMR emergence, and informs interventions to protect public health. In total, 2,150 strains collected between 2002 and 2023 throughout the United States from clinical bovine (N = 581), clinical human (N = 664), and environmental (N = 905) sources were identified. After uniform quality control, raw reads were assembled de novo followed by genome annotation and characterization of plasmids, antimicrobial resistance genes, and virulence factors. Strain relatedness was evaluated using a core genome maximum-likelihood phylogeny and pairwise core genome single-nucleotide polymorphism (SNP) differences. We identified the highest prevalence of drug-specific antimicrobial resistance genes and multidrug resistance plasmid, IncA/C2 (P < 0.001), in bovine clinical strains, which also had the greatest genetic diversity. Despite source-dependent differences in antimicrobial resistance gene frequency and types, 72% of S. Dublin strains in our study differed with at least one other strain by 20 or fewer SNPs. This high degree of genomic similarity highlights the potential for cross-transmission between humans, animals, and the environment and underscores the importance of considering strain source when assessing and monitoring antimicrobial resistance.
