bioRxivMicrobiology
Transcriptome Analysis of Neisseria gonorrhoeae During Natural Infection Reveals Differential Expression of Antibiotic Resistance Determinants Between Men and Women
K. Nudel, R. McClure, M. Moreau, A. J. Abrams, B. Tjaden, X.-H. Su, D. L. Trees, P. A. RICE, P. Massari, C. A. Genco
Abstract
Neisseria gonorrhoeae is a bacterial pathogen responsible for the sexually transmitted infection, gonorrhea. Emergence of antimicrobial resistance (AMR) of N. gonorrhoeae worldwide has resulted in limited therapeutic choices for this infection. Men who seek treatment often have symptomatic urethritis; in contrast, gonococcal cervicitis in women is usually minimally symptomatic, but may progress to pelvic inflammatory disease. Previously, we reported the first analysis of gonococcal transcriptome expression determined in secretions from women with cervical infection. Here, we defined gonococcal global transcriptional responses in urethral specimens from men with symptomatic urethritis and compared these with transcriptional responses in specimens obtained from women with cervical infections, and of in vitro-grown N. gonorrhoeae isolates. This is the first comprehensive comparison of gonococcal gene expression in infected men and women. RNA sequencing analysis revealed that 9.4% of gonococcal genes showed increased expression exclusively in men and included genes involved in host immune cell interactions and 4.3% showed increased expression exclusively in women and included phage-associated genes. Infected men and women displayed comparable antibiotic resistant-genotypes and in vitro -phenotypes, but a 4-fold higher expression of the Mtr efflux pump-related genes was observed in men. These results suggest that expression of AMR genes is programmed genotypically, and also driven by sex-specific environments. Collectively, our results indicate that distinct N. gonorrhoeae gene expression signatures are detected during genital infection in men and women. We propose that therapeutic strategies could target sex specific differences in expression of antibiotic resistance genes.
- organism: human
- assay: bulk RNA-seq
- research focus: differential expression
- research focus: gene regulatory network inference
- approach: statistical model
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