Genetic characterization and in silico serotyping of 62 Salmonella enterica isolated from Korean poultry operations

The study identified distinct genetic characteristics among the three Salmonella serovars using whole genome sequencing. Albany carried a unique mutation in gyrA, occurring in the quinolone resistance-determining region. Additionally, the virulence gene profile of Mbandaka differed from the other serovars, particularly in fimbrial adherence genes. These findings demonstrate the effectiveness of in silico approaches in predicting Salmonella serovars and highlight genetic differences that may inform strategies for antibiotic resistance and virulence control, such as developing rapid diagnostic tools to detect the AMR (e.g. tet (D), and gyrA) or targeting serovar-specific virulence factors like fimbrial adherence genes in Mbandaka to mitigate pathogenicity.

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Publication Details

Journal
BMC Genomics
Published
2025-02-20
DOI
https://doi.org/10.1186/s12864-025-11358-7
Citations
2
Primary Topic
Salmonella and Campylobacter epidemiology
Type
article
Field-Weighted Citation Impact
2.32
Controls
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article

Genetic characterization and in silico serotyping of 62 Salmonella enterica isolated from Korean poultry operations

Eiseul Kim, Hung M. Le, Si Hong Park, Hyun Jung Kim et al.
2 citations
BMC Genomics
Salmonella and Campylobacter epidemiology
2.32
article

Genetic characterization and in silico serotyping of 62 Salmonella enterica isolated from Korean poultry operations

Eiseul Kim, Hung M. Le, Si Hong Park, Hyun Jung Kim, Miseon Kang, Seung-Min Yang, Hyunhee Hong, Sang-Do Ha, Avery Haymowicz
article en
2 citations

Abstract

The study identified distinct genetic characteristics among the three Salmonella serovars using whole genome sequencing. Albany carried a unique mutation in gyrA, occurring in the quinolone resistance-determining region. Additionally, the virulence gene profile of Mbandaka differed from the other serovars, particularly in fimbrial adherence genes. These findings demonstrate the effectiveness of in silico approaches in predicting Salmonella serovars and highlight genetic differences that may inform strategies for antibiotic resistance and virulence control, such as developing rapid diagnostic tools to detect the AMR (e.g. tet (D), and gyrA) or targeting serovar-specific virulence factors like fimbrial adherence genes in Mbandaka to mitigate pathogenicity.

BMC GenomicsVol. 26(1)
Oregon State University (US), Korea Food Research Institute (KR), Chung-Ang University (KR), Korea University of Science and Technology (KR)
Openalex Percentile: Top 14%
Salmonella and Campylobacter epidemiology
2.32
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Genetic characterization and in silico serotyping of 62 Salmonella enterica isolated from Korean poultry operations — Eiseul Kim, Hung M. Le, et al. · BMC Genomics (2025) | TGRS Research Map | TGRS