Whole-Genome Sequencing Analysis of Salmonella Enterica Serotype Enteritidis Isolated from Poultry Sources in South Korea, 2010-2017.
Ji-Yeon HyeonShaoting LiDavid A MannShaokang ZhangKyu-Jik KimDong-Hun LeeXiangyu DengChang-Seon SongPublished in: Pathogens (Basel, Switzerland) (2021)
Salmonella enterica subsp. enterica serotype Enteritidis (SE) is recognized as a major cause of human salmonellosis worldwide, and most human salmonellosis is due to the consumption of contaminated poultry meats and poultry byproducts. Whole-genome sequencing (data were obtained from 96 SE isolates from poultry sources, including an integrated broiler supply chain, farms, slaughterhouses, chicken transporting trucks, and retail chicken meats in South Korea during 2010-2017. Antimicrobial resistance and virulence genes were investigated using WGS data, and the phylogenetic relationship of the isolates was analyzed using single-nucleotide polymorphism (SNP) typing and core genome multilocus sequence typing (cgMLST). All isolates carried aminoglycoside resistance genes, aac
(6')-
Iaa, and 56 isolates carried multiple antimicrobial resistance genes. The most frequent virulence gene profile, pef-fim-sop-inv.-org-sip-spa-sif-fli-flg-hil-ssa-sse-prg-pag-spv, was found in 90 isolates. The SNP analysis provided a higher resolution than the cgMLST analysis, but the cgMLST analysis was highly congruent with the SNP analysis. The phylogenetic results suggested the presence of resident SE within the facility of processing plants, environments of slaughterhouses, and the integrated broiler supply chain, and the phylogenetically related isolates were found in retail meats. In addition, the SE isolates from different origins showed close genetic relationships indicating that these strains may have originated from a common source. This study could be valuable reference data for future traceback investigations in South Korea.
Keyphrases
- antimicrobial resistance
- genome wide
- genetic diversity
- drinking water
- pseudomonas aeruginosa
- escherichia coli
- endothelial cells
- big data
- electronic health record
- copy number
- heat stress
- cystic fibrosis
- klebsiella pneumoniae
- zika virus
- risk assessment
- patient safety
- heavy metals
- multidrug resistant
- transcription factor
- acinetobacter baumannii
- deep learning
- bioinformatics analysis