Study of MazEF, sam, and phd-doc putative toxin-antitoxin systems in Staphylococcus epidermidis
| Autor: | Mirzaei Rasoul, Sadeghi Kalani Behrooz, Biderouni Tahvildar Farid, Lotfollahi Lida, Ohadi Elnaz, Irajian Gholamreza, Shivaee Ali, Moghadampour Mehdi |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
medicine.drug_class Antibiotics Bacterial Toxins Staphylococcal infections medicine.disease_cause Microbiology 03 medical and health sciences Antibiotic resistance Bacterial Proteins Staphylococcus epidermidis medicine Humans General Immunology and Microbiology biology Pathogenic bacteria Toxin-Antitoxin Systems General Medicine Gene Expression Regulation Bacterial Staphylococcal Infections Toxin-antitoxin system medicine.disease biology.organism_classification 030104 developmental biology Antitoxins Antitoxin Bacteria |
| Zdroj: | Acta microbiologica et immunologica Hungarica. 65(1) |
| ISSN: | 1217-8950 |
| Popis: | Today, to replace the antibacterial targets to overcome antibiotic resistance, toxin–antitoxin (TA) system is noticeable, where the unstable antitoxin neutralizes the stable toxin and protects the bacteria against the toxic effects. The presence and expression of TA genes in clinical and non-clinical strains of Staphylococcus epidermidis were investigated in this study. After identification of three TA pairs (mazEF, sam, and phd-doc) via existing databases (earlier, there has been no information in the case of S. epidermidis isolates), the presence and expression of these pairs were investigated by PCR and q-PCR, respectively. We detected three TA modules in all antibiotic sensitive and resistant isolates. In addition, q-PCR analysis revealed that the transcripts were produced from the three TA modules. This study showed the significant prevalence of these systems in pathogenic bacteria and they were equally found in both oxacillin-resistant and oxacillin-susceptible bacteria. The high prevalence of three systems can make them suitable as potential targets for antibiotic therapy. |
| Databáze: | OpenAIRE |
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