Single-Fluorescence ATP Sensor Based on Fluorescence Resonance Energy Transfer Reveals Role of Antibiotic-Induced ATP Perturbation in Mycobacterial Killing

The rapid emergence of multidrug-resistant/extensively drug-resistant tuberculosis (TB) is responsible for treatment failure in patients with TB and significantly endangers global public health. Recently, bioenergetics has become a new paradigm for anti-TB drug discovery and is based on the link bet...

Full description

Bibliographic Details
Main Authors: Chen, Y. (Author), Feng, S. (Author), Li, J. (Author), Liang, L. (Author), Liang, W. (Author), Lin, D. (Author), Luo, W. (Author), Tian, G.-B (Author), Zhao, H. (Author)
Format: Article
Language:English
Published: American Society for Microbiology 2022
Subjects:
ATP
Online Access:View Fulltext in Publisher
LEADER 03759nam a2200277Ia 4500
001 10.1128-msystems.00209-22
008 220718s2022 CNT 000 0 und d
020 |a 23795077 (ISSN) 
245 1 0 |a Single-Fluorescence ATP Sensor Based on Fluorescence Resonance Energy Transfer Reveals Role of Antibiotic-Induced ATP Perturbation in Mycobacterial Killing 
260 0 |b American Society for Microbiology  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1128/msystems.00209-22 
520 3 |a The rapid emergence of multidrug-resistant/extensively drug-resistant tuberculosis (TB) is responsible for treatment failure in patients with TB and significantly endangers global public health. Recently, bioenergetics has become a new paradigm for anti-TB drug discovery and is based on the link between bacterial ATP levels and drug efficacy. A better understanding of the role of ATP fluctuations during antibiotic treatment may provide insight into antibiotic-mediated killing of mycobacteria. Here, we employed an advanced single-fluorescence FRET (fluorescence resonance energy transfer)-based ATP biosensor, ATPser, for the stable and convenient detection of intracellular ATP fluctuations in mycobacteria. This strategy correlated closely with the results obtained from conventional luminescence ATP assays, indicating the reliability of the system for bioenergetics analysis in mycobacteria. Moreover, the reporter strains expressing ATPser displayed obvious ATP changes when subjected to different stresses, such as starvation and ATP depletion. Interestingly, we observed that different antibiotics induced fluctuations in cellular ATP levels in individual cells of various magnitudes, revealing a strong connection between ATP fluctuations and drug efficacy. Furthermore, drug combinations accelerated ATP perturbation, resulting in increased cell death. We concluded that ATPser enabled real-time measurement of ATP at the single-cell level in mycobacteria, and monitoring ATP dynamics in drug-treated bacteria may shed light on novel treatment strategies. IMPORTANCE Bioenergetics has emerged as a new paradigm for antituberculosis (anti-TB) drug discovery, and the cellular ATP level is the core indicator reflecting bacterial metabolic homeostasis. Although several bulk assays have been designed for the measurement of cellular ATP content, a more convenient strategy is required for real-time ATP measurement of single viable cells. In this study, by combining the «-subunit of Bacillus subtilis FoF1-ATP synthase with a circularly permuted green fluorescent protein [(cp)GFP], we constructed a FRET-based single-fluorescence ATP sensor, ATPser, for real-time single-cell ATP detection among a mycobacterial population. Using the ATPser, we designed different drug combinations containing components that have similar/opposite effects on ATP alternation. Our results demonstrated that increased cellular ATP fluctuations were associated with depletion of mycobacterial viability, while counteracting ATP fluctuations weakened the killing effect of the drug regime. Thus, potentially efficient drug combinations can be considered based on their similar effects on mycobacterial ATP levels, and ATPser may be a useful tool to study mycobacterial bioenergetics and to guide drug regime design. © 2022 Liang et al. 
650 0 4 |a ATP 
650 0 4 |a drug combination 
650 0 4 |a FRET 
650 0 4 |a Mycobacterium 
700 1 |a Chen, Y.  |e author 
700 1 |a Feng, S.  |e author 
700 1 |a Li, J.  |e author 
700 1 |a Liang, L.  |e author 
700 1 |a Liang, W.  |e author 
700 1 |a Lin, D.  |e author 
700 1 |a Luo, W.  |e author 
700 1 |a Tian, G.-B.  |e author 
700 1 |a Zhao, H.  |e author 
773 |t mSystems  |x 23795077 (ISSN)  |g 7 3