Back to Search Start Over

Genomic characterization of Salmonella enterica serovar Kentucky and London recovered from food and human salmonellosis in Zhejiang Province, China (2016–2021)

Authors :
Fang, Lei
Lin, Guankai
Li, Yi
Lin, Qiange
Lou, Huihuang
Lin, Meifeng
Hu, Yuqin
Xie, Airong
Zhang, Qinyi
Zhou, Jiancang
Zhang, Leyi
Source :
Frontiers in Microbiology. 13
Publication Year :
2022
Publisher :
Frontiers Media SA, 2022.

Abstract

Increasing human salmonellosis caused by Salmonella enterica serovar Kentucky and London has raised serious concerns. To better understand possible health risks, insights were provided into specific genetic traits and antimicrobial resistance of 88 representative isolates from human and food sources in Zhejiang Province, China, during 2016–2021. Phylogenomic analysis revealed consistent clustering of isolates into the respective serovar or sequence types, and identified plausible interhost transmission via distinct routes. Each serovar exhibited remarkable diversity in host range and disease-causing potential by cgMLST analyses, and approximately half (48.6%, 17/35) of the food isolates were phylogenetically indistinguishable to those of clinical isolates in the same region. S. London and S. Kentucky harbored serovar-specific virulence genes contributing to their functions in pathogenesis. The overall resistance genotypes correlated with 97.7% sensitivity and 60.2% specificity to the identified phenotypes. Resistance to ciprofloxacin, cefazolin, tetracycline, ampicillin, azithromycin, chloramphenicol, as well as multidrug resistance, was common. High-level dual resistance to ciprofloxacin and cephalosporins in S. Kentucky ST198 isolates highlights evolving threats of antibiotic resistance. These findings underscored the necessity for the development of effective strategies to mitigate the risk of food contamination by Salmonella host-restricted serovars.

Details

ISSN :
1664302X
Volume :
13
Database :
OpenAIRE
Journal :
Frontiers in Microbiology
Accession number :
edsair.doi.dedup.....2dcb49d3dc3f2702d11a6601c705829c
Full Text :
https://doi.org/10.3389/fmicb.2022.961739