Publication: Salmonella enterica multilocus sequence typing and its correlation with serotypes
Issued Date
2017-04-03
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ISSN
15324249
08905436
08905436
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2-s2.0-85019145907
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Mahidol University
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SCOPUS
Bibliographic Citation
Food Biotechnology. Vol.31, No.2 (2017), 73-79
Suggested Citation
Patcharapan Pethplerdprao, Sirirak Supa-amornkul, Nathinee Panvisavas, Soraya Chaturongakul Salmonella enterica multilocus sequence typing and its correlation with serotypes. Food Biotechnology. Vol.31, No.2 (2017), 73-79. doi:10.1080/08905436.2017.1301820 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/41568
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Title
Salmonella enterica multilocus sequence typing and its correlation with serotypes
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Abstract
© 2017 Taylor & Francis. Salmonella enterica is a foodborne pathogen of significant public health concern worldwide. In Thailand, S. enterica has also been ranked among the top five most significant bacterial agents of foodborne illnesses by the Ministry of Public Health. Conventionally, biochemical tests and antigen-antibody agglutination have been used to identify and subtype S. enterica, respectively. The objective of this study was to identify the serotypes of 180 S. enterica isolates. Multilocus sequence typing (MLST) was used to deduce the S. enterica serotypes based on sequence type (ST) correlation as shown in the MLST database (http://mlst.warwick.ac.uk/mlst/). Initially, MLST was used to confirm serotypes of 53 previously identified isolates of S. Enteritidis, S. Typhimurium, S. Hadar, S. Virchow, and S. Infantis isolated in Thailand. MLST and serotype correlation confirmed 52 (of 53) known isolates. MLST was performed in 127 S. enterica isolates of unknown serotypes from various sources. Serotypes of all 127 S. enterica isolates were successfully deduced based on STs. With MLST and PCR-based identification, we have shown that the majority of isolates are of monophasic S. Typhimurium (ST34; 43 isolates) and serotype Rissen (ST469; 37 isolates), in agreement with the top serotypes commonly found in Thailand based on the WHO National Salmonella and Shigella Center. We have also confirmed that MLST is a powerful Salmonella subtyping method which could be used not only as a tracking tool for an outbreak investigation at nucleotide level but also as a serotype predictor for making correlations with food safety regulations.