Journal of Pure and Applied MicrobiologyVol. 6 No. 4

Phenotyping and Genotyping Characterization of Salmonella Strains Isolated from Retail Beef in Erzurum, Turkey

G. Adiguzel1, C. Bozoglu2, D. Yanmis3, A. Gormez4, M. Gulluce3 and A. Adiguzel2*

1Department of Food Science and Technology, Faculty of Veterinary Science, Atat?rk University, 25240, Erzurum, Turkey. 2Department of Molecular Biology and Genetics, Faculty of Science, Atat?rk University, 25240, Erzurum, Turkey. 3Department of Biology, Faculty of Science, Atat?rk University, 25240, Erzurum, Turkey. 4Department of Molecular Biology and Genetics, Faculty of Science, Erzurum Technical University, Erzurum, Turkey.

Received on 02 October 2012 and accepted on 18 November 2012



In this study, phenotypic and genotypic characterization of Salmonella strains was carried out. Isolates were obtained from 140 different minced beef samples, taken from slaughterhouses and butcher shops in the vicinity of Erzurum, by using chromogenic media. For this purpose, fatty acid profiles, BIOLOG, ERIC-PCR, REP-PCR and (GTG)5-PCR methods were used. As a result of isolation study, Salmonella spp. was detected in 4 samples out of 140 minced beef samples. Depending on the data of fatty acid analysis, it was detected that there were 14 different fatty acids in the examined 15 bacterial strains. In the results of analyses by using BIOLOG system, all of the test organisms gave identification result as Salmonella group 1 and it was determined that this method is inefficient for serotype level detection. Several primer sets, targeting the repetitive DNA elements of REP, ERIC and (GTG)5,were evaluated and it was detected that for identification and taxonomic characterization of S. typhimurium strains, the ERIC primers were the most reliable technique. Hence, as a promising genotypic tool, rep-PCR fingerprinting using the ERIC and REP primers can be used for the identification and characterization of Salmonella isolates species to serotype level.

Keywords : Salmonella strains, Ground meat, MIS, BIOLOG, rep-PCR .