Abstract
Stress tolerant slow- or non-growing bacterial subpopulations represent a key factor for chronic, recurrent, antibiotic-tolerant infections and necessitate prolonged antibiotic therapy. Consequently, new tools that facilitate investigation of these small subpopulations are highly needed. To characterize slow-/non-growing populations of mycobacteria, we here utilized Vybrant DiD, a lipophilic, fluorescent organic probe that detected pathogenic and non-pathogenic species in a rapid, specific and noninvasive manner. It enabled accurate, direct quantification of mycobacterial replication rate in vitro and in murine macrophages at the population and single-cell level, providing insight into population heterogeneity. We determined the preexisting slow-/ non-growing fraction of mycobacteria during exponential growth, which increased upon stress. Monitoring mycobacterial resuscitation after antibacterial treatment and after low-oxygen-induced dormancy revealed the stochastic and heterogeneous nature of the resuscitation process. We anticipate that this method will be widely utilized in basic research on bacterial persistence and may also be included in applied settings, e.g., high-throughput drug characterization.
| Original language | English |
|---|---|
| Article number | e0338563 |
| Pages (from-to) | 1-23 |
| Number of pages | 23 |
| Journal | PLoS ONE |
| Volume | 20 |
| Issue number | 12 |
| Early online date | 18 Dec 2025 |
| DOIs | |
| Publication status | Published - Dec 2025 |
Bibliographical note
Publisher Copyright:© 2025 Chauhan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 713669. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors wish to thank Prof. Holger Lill and Prof. Wilbert Bitter for insightful discussions, Dr. Sieze Douwenga for helping with the initial screening of suitable probe for study, Alicia Berkvens for helping with data analysis, Dr. Evelina Tutucci for helping with microscopy and related data analysis, and Emile Zwering for technical assistance.
| Funders | Funder number |
|---|---|
| Horizon 2020 Framework Programme | 713669 |