eLifeMicrobiologyPeer-reviewed journal article
High-Throughput Quantification of Population Dynamics using Luminescence
Malte MuetteriD, Daniel C. AngstiD, Roland R. RegoesiD, Sebastian BonhoefferiD
Abstract
The dynamics of bacterial population decline at antibiotic concentrations above the minimum inhibitory concentration (MIC) remain poorly characterized. This is because measuring colony-forming units (CFU), the standard assay to quantify inhibition, is slow, labour-intensive, costly, and can be unreliable at high drug concentrations. Luminescence assays are widely used to quantify population dynamics at subinhibitory concentrations, yet their limitations and reliability at super-MIC concentrations remain underexplored. To fill this gap, we compared luminescence- and CFU-based rates across 20 antimicrobials. In our experiments luminescence- and CFU-based rates did not differ significantly for half of them. For the other half, CFU-based estimates of rates of decline were consistently higher. The estimates differed for two main reasons: First, because light intensity tracks biomass more closely than population size, luminescence declined more slowly than the population when bacteria filamented. Second, CFU-based estimates indicated a steeper decline when antimicrobial treatment reduced the number of colonies formed per plated bacterium. This effect can result from changes in clustering behaviour, physiological changes that impair culturability, or antimicrobial carry-over. Thus, the suitability of luminescence to quantify bacterial decline depends on the physiological effects of the antimicrobial used (e.g. filamentation) and whether the quantity of interest is cell number or biomass. Within these limitations, luminescence can serve as an efficient, high-throughput alternative for quantifying bacterial dynamics at super-MIC concentrations.
- organism: bacteria (other)
- assay: proteomics
- research focus: drug response / drug discovery
- approach: experimental assay
- Citations
- 0
- FWCI
- 0.00
- Field percentile
- 0th percentile
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A low-footprint, fluorescence-based bacterial time-kill assay for estimating dose-dependent cell death dynamics
E. S. King, A. E. Stacey, J. G. Scott·bioRxiv·Mar 8, 2024
- What's the matter with MICs: The contribution of nutrients and limiting resources to the pharmacodynamics of antibiotics and bacteria
B. A. Berryhill, T. Gil-Gil, … B. R. Levin·bioRxiv·Sep 30, 2022
- Very rapid flow cytometric assessment of antimicrobial susceptibility during the apparent lag phase of microbial (re)growth
S. Jindal, H. Thampy, … D. B. Kell·bioRxiv·Nov 29, 2018
- Microliter spotting and micro-colony observation: a rapid and simple approach for counting bacterial colony-forming units
- The pharmacodynamic inoculum effect from the perspective of bacterial population modeling
Desiree Y. Baeder, Roland R. Regoes·bioRxiv·Apr 30, 2025
- Quantifying antibiotic susceptibility and inoculum effects using transient dynamics of Pseudomonas aeruginosa
Sarah A Sundius, Jennifer M. Farrell, … Sam P. Brown·PLoS Computational BiologyPeer-reviewed·Oct 5, 2026