Anti-staphylococcus Antibiotics Interfere With the Transcription of Leucocidin ED Gene in Staphylococcus aureus Strain Newman

• Published in: Frontiers in microbiology Vol. 11; p. 265
• Main Authors: Yang, Han, Xu, Su, Huang, Kaifeng, Xu, Xiaogang, Hu, Fupin, He, Chunyan, Shu, Wen, Wang, Zhiyan, Gong, Fang, Zhang, Chuanling, Liu, Qingzhong
• Format: Journal Article
• Language: English
• Published: Switzerland Frontiers Media S.A 05.03.2020
• Subjects: antibiotic exposure; leucocidin ED; Microbiology; RNAIII; Staphylococcus aureus; transcription; leucocidin ED; antibiotic exposure; RNAIII; transcription; Staphylococcus aureus
• ISSN: 1664-302X; 1664-302X
• DOI: 10.3389/fmicb.2020.00265

Antibiotics have been described to modulate bacterial virulence gene expression. This study aimed to assess the changes caused by anti- agents in the transcription of leucocidin ED ( ) gene of strain Newman and and to determine whether the altered expression is dependent. The bacteria were exposed to subinhibitory concentrations [1/2, 1/4, or 1/8 minimal inhibitory concentration (MIC)] of 11 antibiotics, and the expression of and -effector RNAIII was determined using qRT-PCR. experiments were performed to evaluate the impact exerted by six representative antibiotics on the transcription of both genes. Molecular analysis showed that transcription was dramatically promoted in the Newman strain exposed to sub-MICs of vancomycin, trimethoprim-sulfamethoxazole, clindamycin, gentamicin, daptomycin, and ciprofloxacin and considerably reduced when stimulated by cefazolin, erythromycin, rifampicin, tigecycline, and linezolid. In the murine abscess model, tigecycline significantly decreased the transcription of and the bacterial numbers, whereas vancomycin increased them; although cefazolin increased the expression (contrary to the effect), it had a remarkable role in reducing bacterial load. The correspondence analysis shows that expression varied under seven of 11 antibiotics , and six drugs were consistent with transcripts. In conclusion, our data show that anti- antibiotics exert modulatory effects on expression and/or , and the changed expression caused by some drugs may be involved with activity, thus providing a guide to choose appropriate agents to avoid promoting bacterial virulence in -positive infections.