Back

Fluoroquinolone resistance-conferring gyrA variants alter the fitness cost and potentiate the resistance of the zoliflodacin resistance mutation gyrB D429N in Neisseria gonorrhoeae

Mukherjee, A.; Blomqvist, S. O. P.; Helekal, D.; Rubin, D. H.; Bowcutt, B.; Palace, S. G.; Grad, Y. H.

2026-05-06 microbiology
10.64898/2026.05.04.722797 bioRxiv
Show abstract

Neisseria gonorrhoeae is a major public health concern due to its high global prevalence and rapid evolution of antibiotic resistance. A first-in-class topoisomerase inhibitor, zoliflodacin (a spiropyrimidinetrione) recently received FDA approval for treatment of gonorrhea, but its potential for cross-resistance with another topoisomerase inhibitor, the fluoroquinolone antibiotic ciprofloxacin, remains poorly understood. Here, we investigated how genetic diversity in the fluoroquinolone target gyrA influences the resistance and fitness effects of the zoliflodacin resistance mutation gyrBD429N. We constructed an isogenic panel of N. gonorrhoeae to determine how the resistance and fitness effects of the gyrBD429N mutation are modulated by the most common ciprofloxacin resistance-associated variants in gyrA. In the presence of gyrBD429N, the zoliflodacin minimum inhibitory concentration (MIC) was 2-4-fold higher in strains that also contained ciprofloxacin resistance-associated gyrA alleles, and the gyrBD429N mutation reciprocally increased ciprofloxacin MICs of these strains 3-6-fold. Fitness cost of the gyrBD429N mutation varied from modest to severe across gyrA backgrounds, with the largest cost in ciprofloxacin resistant gyrA91F/95G and gyrA91F/95N backgrounds and comparatively minimal cost in the ciprofloxacin resistant gyrA91F/95A background. These results demonstrate the capacity for epistatic interactions among resistance-associated gyrA and gyrB mutations, underscoring the need for genomic surveillance to monitor high-risk combinations of resistance determinants as new therapies are deployed.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
mBio
750 papers in training set
Top 0.2%
25.5%
2
Antimicrobial Agents and Chemotherapy
167 papers in training set
Top 0.2%
14.1%
3
eLife
5422 papers in training set
Top 4%
12.2%
50% of probability mass above
4
mSystems
361 papers in training set
Top 3%
3.5%
5
PLOS Pathogens
721 papers in training set
Top 4%
3.5%
6
Frontiers in Microbiology
375 papers in training set
Top 3%
3.5%
7
Cell Reports
1338 papers in training set
Top 15%
3.5%
8
PLOS Biology
408 papers in training set
Top 5%
2.8%
9
mSphere
281 papers in training set
Top 2%
2.3%
10
Environmental Microbiology
119 papers in training set
Top 1%
2.0%
11
Philosophical Transactions of the Royal Society B
51 papers in training set
Top 3%
1.9%
12
Nature Communications
4913 papers in training set
Top 49%
1.9%
13
PLOS Genetics
756 papers in training set
Top 9%
1.7%
14
Microbial Genomics
204 papers in training set
Top 1%
1.3%
15
Cell Host & Microbe
113 papers in training set
Top 4%
1.3%
16
ACS Infectious Diseases
74 papers in training set
Top 0.8%
1.3%
17
Nucleic Acids Research
1128 papers in training set
Top 14%
1.2%
18
Molecular Microbiology
66 papers in training set
Top 0.6%
1.2%
19
Scientific Reports
3102 papers in training set
Top 71%
0.9%
20
Journal of Bacteriology
190 papers in training set
Top 0.8%
0.7%
21
Nature Microbiology
133 papers in training set
Top 5%
0.7%
22
Microbiology Spectrum
435 papers in training set
Top 6%
0.7%
23
Journal of Biological Chemistry
641 papers in training set
Top 5%
0.6%
24
The Journal of Infectious Diseases
182 papers in training set
Top 6%
0.6%
25
Genome Medicine
154 papers in training set
Top 10%
0.6%