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Kim, Donghyuk
Systems Biology and Machine Learning Lab
Research Interests
  • Systems Biology, Computational Biology, Bacterial Pathogens, Host-Pathogen Interaction, Anti-Microbial Resistance

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Development of a Genoserotyping Method for Salmonella Infantis Detection on the Basis of Pangenome Analysis

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Title
Development of a Genoserotyping Method for Salmonella Infantis Detection on the Basis of Pangenome Analysis
Author
Yang, Seung-MinBaek, JiwonKim, EiseulKim, Hyeon-BeKo, SeyoungKim, DonghyukYoon, HyunjinKim, Hae-Yeong
Issue Date
2021-01
Publisher
MDPI
Citation
MICROORGANISMS, v.9, no.1, pp.67
Abstract
In recent years, Salmonella Infantis has become a predominant serovariant in clinical and poultry isolates, thereby imposing a substantial economic burden on both public health and the livestock industry. With the aim of coping with the steep increase in serovar Infantis prevalence, a polymerase chain reaction (PCR)-based rapid and accurate diagnostic assay was developed in this study through pangenome profiling of 60 Salmonella serovars. A gene marker, SIN_02055, was identified, which is present in the S. Infantis genome but not in the pangenome of the other serovars. Primers specific to SIN_02055 were used to accurately detect serovar Infantis, and to successfully differentiate Infantis from the other 59 serovars in real-time PCR with a R-2 of 0.999 and an efficiency of 95.76%. The developed method was applied to 54 Salmonella strains belonging to eight dominant serovars, and distinguished Infantis from the other seven serovars with an accuracy of 100%. The diagnostic primer set also did not show false positive amplification with 32 strains from eight non-Salmonella bacterial species. This cost-effective and rapid method can be considered an alternative to the classic serotyping using antisera.
URI
https://scholarworks.unist.ac.kr/handle/201301/55940
URL
https://www.mdpi.com/2076-2607/9/1/67
DOI
10.3390/microorganisms9010067
ISSN
2076-2607
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ECHE_Journal Papers
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