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  Year: 2016 | Volume: 15 | Issue: 1-2 | Page No.: 26-34
DOI: 10.3923/biotech.2016.26.34
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Molecular Characterization of mecA and SCCmec Genes in Pathogenic Staphylococcus spp. Collected from Hospitals in Taif Region, KSA

Abdulla A. Alharthi, Ahmed Gaber and Mohamed M. Hassan

Background and Objective: Staphylococcus is a group of bacteria that can cause a multitude of diseases. Bacteria isolates were collected from different hospitals in Taif governorate in KSA. Out of 89 isolates, eight isolates of Staphylococcus spp. were subjected to fingerprinting based on their resistance/susceptibility to antibiotics which are commonly used in KSA and all over the world. Most of the isolates showed multidrug resistance. Interestingly, out of the eight isolate, Staphylococcus isolate number 6 found to be as Methicillin Resistant Staphylococcus epidermidis (MRSE). Methodology: It was identified using the sequencing of 16S rDNA. Methicillin resistance in Staphylococcus isolates is primarily mediated by the mecA gene, which codes for the modified penicillin-binding protein 2a, mecA is carried on a mobile genetic element that called the Staphylococcal Cassette Chromosome mec (SCCmec). Thus in the present study, the different genes of mecA and SCCmec were verified in the eight isolates using primer specific PCR technique. The mecA I gene (with size about 162 bp long) and mecA III gene (with size about 449 bp long) were found in the eight isolates. Interestingly, mecA II gene (with size about of 540 bp long) was observed in only five isolates. Surprisingly, SCCmec I gene was not found in any of the eight isolates. While, SCCmec II and SCCmec III gene were observed in only six isolates. The repetitive element PCR technique (Rep-PCR) was used to study the genetic similarity between the examined isolates. Six primers were used in this study. Results: The results revealed that approximately 108 different banding patterns were obtained, dividing the isolates into two clusters. Conclusion: Results refer to the PCR assay offers a rapid, simple and accurate identification of antibiotic resistance profiles and could be used in clinical diagnosis as well as for the surveillance of the spread of antibiotic resistance determinants in epidemiological studies.
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How to cite this article:

Abdulla A. Alharthi, Ahmed Gaber and Mohamed M. Hassan, 2016. Molecular Characterization of mecA and SCCmec Genes in Pathogenic Staphylococcus spp. Collected from Hospitals in Taif Region, KSA. Biotechnology, 15: 26-34.

DOI: 10.3923/biotech.2016.26.34






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