Back

Proton motive force mediated efflux mismatch drives gentamycin-novobiocin collateral sensitivity in Pseudomonas aeruginosa

Mahmud, H. A.; Rahman, M. S.; Ruiz, E. O.; Luecke, A.; Brown, A. M. V.; Wakeman, C.

2026-05-05 microbiology
10.64898/2026.05.01.722319 bioRxiv
Show abstract

Resistance to a particular antibiotic can make bacteria sensitive to others, a phenomenon known as collateral sensitivity (CS). This study explored potential CS in clinical and experimentally evolved drug-resistant Pseudomonas aeruginosa (PA) and investigated underlying mechanisms. Whole-genome sequencing and RNA-seq were analyzed to identify genetic and transcriptional correlations. In vitro efficacies were assessed with co-and sequential-exposure regimens. Multiple CF isolates and experimentally evolved gentamycin (GEN) resistant strains consistently exhibited strong CS to novobiocin (NOV). Comparative genomics revealed pmrB gain-of-function mutations, which was further supported by transcriptomic signatures of pmrAB activation. Transcriptomic data suggests potential outer-membrane remodeling characterized by polyamine accumulation and compromised porin channel expression. Additionally, the reduction in proton motive force (PMF) further explains the possible mechanism underlying GEN resistance. As NOV efflux is PMF-dependent, this energetic deficit created a PMF-efflux mismatch, leading to hypersensitivity to NOV. Notably, sequential GEN[->]NOV treatment effectively restricted the emergence of GEN resistant subpopulations. Overall, our data suggest GEN resistance in PA may arises through envelope remodeling and reduced PMF, which impairs efflux pumps and creates hypersensitivity to NOV. Exploiting this PMF-efflux mismatch with sequential treatment effectively restricted the emergence of GEN resistance.

Matching journals

The top 6 journals account for 50% of the predicted probability mass.

1
mBio
750 papers in training set
Top 0.3%
22.7%
2
eLife
5422 papers in training set
Top 8%
8.5%
3
PLOS Pathogens
721 papers in training set
Top 2%
8.5%
4
Nature Communications
4913 papers in training set
Top 35%
4.4%
5
Antimicrobial Agents and Chemotherapy
167 papers in training set
Top 0.5%
4.0%
6
mSystems
361 papers in training set
Top 3%
3.6%
50% of probability mass above
7
Microbiology Spectrum
435 papers in training set
Top 1%
3.3%
8
Cell Reports
1338 papers in training set
Top 17%
3.1%
9
ACS Infectious Diseases
74 papers in training set
Top 0.3%
3.1%
10
Environmental Microbiology
119 papers in training set
Top 1%
2.4%
11
Scientific Reports
3102 papers in training set
Top 47%
2.4%
12
iScience
1063 papers in training set
Top 10%
2.1%
13
mSphere
281 papers in training set
Top 2%
2.1%
14
Frontiers in Microbiology
375 papers in training set
Top 4%
2.1%
15
PLOS Genetics
756 papers in training set
Top 7%
1.9%
16
PLOS Biology
408 papers in training set
Top 10%
1.7%
17
Proceedings of the National Academy of Sciences
2130 papers in training set
Top 36%
1.3%
18
The ISME Journal
194 papers in training set
Top 2%
1.2%
19
Communications Biology
886 papers in training set
Top 17%
1.0%
20
The Journal of Infectious Diseases
182 papers in training set
Top 4%
0.9%
21
Science Advances
1098 papers in training set
Top 28%
0.8%
22
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 6%
0.7%
23
ISME Communications
103 papers in training set
Top 2%
0.7%
24
Microbiological Research
19 papers in training set
Top 0.8%
0.7%
25
Genome Medicine
154 papers in training set
Top 9%
0.7%
26
Journal of Global Antimicrobial Resistance
15 papers in training set
Top 0.8%
0.7%
27
Cell
370 papers in training set
Top 19%
0.7%
28
Evolution Letters
71 papers in training set
Top 2%
0.7%
29
Cells
232 papers in training set
Top 8%
0.7%
30
Antibiotics
32 papers in training set
Top 2%
0.5%