Volume 67 (2017) Issue: 2017 No#2

Development of PCR-based identification of Salmonella enterica serovars

Author(s): Kiskároly Ferenc, Morić Ivana, Đokić Lidija, Vasiljević Branka, Šenerović Lidija, Mišić Dušan

Keywords:Salmonella, poultry, multiplex PCR, identification, taxonomy

The aim of the study was to evaluate and adapt the PCR-based protocol that utilizes the developed serotype-specific primers to identify Salmonella enterica species and its serotypes that are most frequently isolated from poultry samples in Vojvodina. Using the slide agglutination test, 64 and 33 out of 107 Salmonella isolates were identified as S. Infantis and S. Enteritidis, respectively, while ten isolates were identified as eight different Salmonella serovars. Using the same isolates, presence of 993-bp (bcfC gene), 636-bp (steB gene) and 293-bp (sdf locus) amplicons in multiplex PCR unambiguously identified 31 isolates as S. Enteritidis. Two isolates identified as Enteritidis in slide agglutination test were not identified as such in PCR-based approach since they both were missing 293-bp long PCR product. Thirty-nine isolates produced a 727-bp amplicon in the specific simplex PCR, and thus were identified as S. Infantis. The greatest discrepancy in comparison to the results of conventional serotyping has been observed in the case of S. Infantis, since 25 more isolates were noted as S. Infantis by conventional serotyping. Seven isolates, with unexpected PCR profiles stayed unidentified by molecular typing, although they were serotyped as S. Typhimurium (1) and S. Infantis (6). S. Gallinarum serovar has to be additionally confirmed, since it shares the same PCR profile with S. Livingstone. Clearly, PCR-based identification has to be thoroughly checked, verified and adapted if it is to be applied as the routine identification protocol.

My account



ISSN: 0567-8315

eISSN: 1820-7448

Journal Impact Factor 2020: 0.800

5-Year Impact Factor: 0.857

Indexing: Thomson Reuters/Science Citation Index Expanded, Zoological Record, Biosis Previews, Web of Science, Journal Citation Reports, Google Scholar, SCIndeks, KoBSON, Genamics, Journal Seek, Research Gate, DOAJ, Journal Rate, SJR – SCImago Journal & Country Rank, WorldCat, Academic Journals Database, Medical Journals Links, MedSci, Pubget