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The aim of the present study was to investigate antibiotic resistance, plasmid, random amplified polymorphic DNA (RAPD) and sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) profiles of the Bacillusspp. isolated from soil of Sinop environs, Turkey. A total of fifty-seven isolates were identified as Bacillusspp. based on morphological and physiological properties. All isolates were found resistant to bacitracin. Susceptibility patterns of the isolates to other tested antibiotics varied from 100 to 31.5 %. The plasmid analysis results indicated that isolates harbored 2 to 7 plasmids. The numerical analysis of whole cell and extracellular protein profiles of the isolates displayed similarity levels between 78–100 and 67–100 % respectively reflecting the less discriminative power of SDS-PAGE at subspecies level. However, RAPD analysis of genomic DNA using four different universal primers revealed 100 % polymorphism indicating the strength of RAPD in the differentiation of Bacillusisolates.

Staphylococcusaureusis the most prevalent human pathogenic microorganism worldwide. In the present study, a total of 57 S. aureusstrains, including 54 clinical isolates obtained from dental hospitals and three reference strains were characterized by phenotypic characteristics and SDS-PAGE protein profiling. Out of the 132 clinical specimens, 54 S. aureusstrains were isolated and identified according to their morphological and physiological characteristics. The strains were tested against 13 standard antibiotics by using disc diffusion procedure. Antibiogram results showed that the highest resistance among the isolates was determined against ampicillin (83.6 %), whereas they were susceptible to sulfamethoxazole/trimethoprim, cefoperazone/sulbactam, vancomycin and imipenem. In addition, multidrug resistance index values of 12 (22.2 %) of the isolates were higher than the reference value of 0.2. The numerical analysis of whole-cell protein profiles of S. aureusstrains revealed 2 major clusters at similarity levels of 57 % or above. Furthermore, the numerical analysis of extra-cellular protein profiles of S. aureusstrains yielded 2 major clusters at similarity levels of 48 % or above. In conclusion, the present findings revealed that use of conventional methods with the numerical analysis of whole-cell and extra-cellular protein profiles might be useful for the more reliable identification of S. aureusstrains isolated from tooth decay.