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김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
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dc.citation.startPage 750379 -
dc.citation.title FRONTIERS IN MICROBIOLOGY -
dc.citation.volume 12 -
dc.contributor.author Yang, Seung-Min -
dc.contributor.author Kim, Eiseul -
dc.contributor.author Kim, Dayoung -
dc.contributor.author Kim, Hyeon-Be -
dc.contributor.author Baek, Jiwon -
dc.contributor.author Ko, Seyoung -
dc.contributor.author Kim, Donghyuk -
dc.contributor.author Yoon, Hyunjin -
dc.contributor.author Kim, Hae-Yeong -
dc.date.accessioned 2023-12-21T15:14:32Z -
dc.date.available 2023-12-21T15:14:32Z -
dc.date.created 2021-10-22 -
dc.date.issued 2021-09 -
dc.description.abstract An accurate diagnostic method for Salmonella serovars is fundamental to preventing the spread of associated diseases. A diagnostic polymerase chain reaction (PCR)-based method has proven to be an effective tool for detecting pathogenic bacteria. However, the gene markers currently used in real-time PCR to detect Salmonella serovars have low specificity and are developed for only a few serovars. Therefore, in this study, we explored the novel unique gene markers for 60 serovars that share similar antigenic formulas and show high prevalence using pangenome analysis and developed a real-time PCR to detect them. Before exploring gene markers, the 535 Salmonella genomes were evaluated, and some genomes had serovars different from the designated serovar information. Based on these analyses, serovar-specific gene markers were explored. These markers were identified as genes present in all strains of target serovar genomes but absent in strains of other serovar genomes. Serovar-specific primer pairs were designed from the gene markers, and a real-time PCR method that can distinguish between 60 of the most common Salmonella serovars in a single 96-well plate assay was developed. As a result, real-time PCR showed 100% specificity for 199 Salmonella and 29 non-Salmonella strains. Subsequently, the method developed was applied successfully to both strains with identified serovars and an unknown strain, demonstrating that real-time PCR can accurately detect serovars of strains compared with traditional serotyping methods, such as antisera agglutination. Therefore, our method enables rapid and economical Salmonella serotyping compared with the traditional serotyping method. -
dc.identifier.bibliographicCitation FRONTIERS IN MICROBIOLOGY, v.12, pp.750379 -
dc.identifier.doi 10.3389/fmicb.2021.750379 -
dc.identifier.issn 1664-302X -
dc.identifier.scopusid 2-s2.0-85116514706 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/54625 -
dc.identifier.url https://www.frontiersin.org/articles/10.3389/fmicb.2021.750379/full -
dc.identifier.wosid 000703663100001 -
dc.language 영어 -
dc.publisher FRONTIERS MEDIA SA -
dc.title Rapid Real-Time Polymerase Chain Reaction for Salmonella Serotyping Based on Novel Unique Gene Markers by Pangenome Analysis -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Microbiology -
dc.relation.journalResearchArea Microbiology -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Salmonella -
dc.subject.keywordAuthor serotyping -
dc.subject.keywordAuthor pangenome analysis -
dc.subject.keywordAuthor detection -
dc.subject.keywordAuthor real-time PCR -
dc.subject.keywordAuthor gene marker -
dc.subject.keywordPlus IDENTIFICATION -
dc.subject.keywordPlus ENTERICA -

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