Antibiotic persistence describes the ability of small subpopulations within a sensitive isogenic population to transiently tolerate high doses of bactericidal antibiotics. The present protocol combines approaches to characterize the antibiotic persistence phenotype at the molecular and cellular levels after exposing Escherichia coli to lethal doses of ofloxacin.
Antibiotic persistence refers to the capacity of small bacterial subpopulations to transiently tolerate high doses of bactericidal antibiotics. Upon bactericidal antibiotic treatment, the bulk of the bacterial population is rapidly killed. This first rapid phase of killing is followed by a substantial decrease in the rate of killing as the persister cells remain viable. Classically, persistence is determined at the population level by time/kill assays performed with high doses of antibiotics and for defined exposure times. While this method provides information about the level of persister cells and the killing kinetics, it fails to reflect the intrinsic cell-to-cell heterogeneity underlying the persistence phenomenon. The protocol described here combines classical time/kill assays with single-cell analysis using real-time fluorescence microscopy. By using appropriate fluorescent reporters, the microscopy imaging of live cells can provide information regarding the effects of the antibiotic on cellular processes, such as chromosome replication and segregation, cell elongation, and cell division. Combining population and single-cell analysis allows for the molecular and cellular characterization of the persistence phenotype.
This protocol aims to analyze the bacterial persistence phenotype in response to specific antibiotic treatment at the single-cell and population levels. Persistence describes the capacity of small subpopulations within an isogenic population to endure high doses of bactericidal antibiotics (fluoroquinolones, aminoglycosides, β-lactams, etc.), with the minimal inhibitory concentration (MIC) of the so-called persister cells being identical to that of the bulk of the population. Biphasic killing dynamics, when measuring bacterial survival over time in the presence of an antibiotic, reveal the presence of transiently drug-tolerant cells, with an initial rapid eradication of the non-persister cells, followed by a much slower killing rate of the persister cells. Upon antibiotic removal, these cells give rise to a genetically identical population that displays similar killing dynamics when treated with the same antibiotic1,2. In contrast to persistence, antibiotic resistance is defined at the population level and is generally a consequence of either de novo mutations or the horizontal gene transfer of a resistance-conferring plasmid3. While the mutations responsible for resistance are mostly located in the target of the drug or in the promotor regions of the drug efflux pumps, genes altering the persistence frequency identified by genome-wide and targeted mutant analysis approaches have proven to be numerous and diverse2,3,4,5,6,7,8. Therefore, it is likely that bacterial cells can enter the persister state through multiple pathways9,10,11, and approaches to investigate the persistence phenomenon at the single-cell level are needed to characterize the physiology of these persister cells.
The recent development of microfluidic tools used in combination with fluorescence microscopy has paved the way for the characterization of the persistence phenotype and highlighted the role of key cellular processes, such as chromosome replication12, DNA repair13, and cell division14, in persister cell formation. In this paper, we describe an integrated approach combining classical microbiology assays with single-cell live imaging to characterize persister cells generated in exponentially growing Escherichia coli cultures treated with a high dose of ofloxacin. The protocol described here can be applied to study the antibiotic persistence phenomenon in other bacterial species, such as Bacillus subtilis15, or conditions (e.g., antibiotic persistence following β-lactam treatment16) and can easily be modified to investigate the many phenomena involving phenotypic heterogeneity17,18,19. Furthermore, the setup described in this paper can be combined with other fluorescent reporters to investigate distinct cellular parameters of interest, such as intracellular levels of pH20 or ATP21 at the single-cell level, which may potentially produce novel insights into the antibiotic persistence phenomenon.
NOTE: Use sterile culture glassware, pipette tips, and growth medium. Here, E. coli cells were grown in a low-autofluorescence chemically defined medium (see Table of Materials). Inoculations were performed in the presence of a Bunsen burner to minimize the risk of contamination.
1. Cell culture and growth curve
2. Determination of the minimal inhibitory concentration of the antibiotics
NOTE: The minimum inhibitory concentration (MIC) is defined as the lowest dose of antibiotic at which no bacterial growth is observed. The determination of the MIC needs to be performed for each antibiotic and strain. In the experiments described here, the fluoroquinolone antibiotic ofloxacin (OFX) was used. The determination of the MIC allows for confirmation that the antibiotic solution has been correctly prepared, the antibiotic is active, and the strains are equally sensitive to the antibiotic. Here, the published agar dilution method was performed to determine the MIC to OFX of the different strains used24. The MIC of a given antibiotic to a given bacterial strain can also be determined via the broth dilution method24.
3. Spot assay
NOTE: The spot assay method is a qualitative approach that allows the estimation of the number of viable cells (cells able to generate colonies after antibiotic stress). The spot assay is performed prior to the time-kill assay to provide insights into the viability of the strain used in the conditions tested and to inform about the dilutions needed during the time-kill assay (see section 4).
4. Time-kill assays
NOTE: While spot assays are an easy-to-use method to estimate the survival rate of a given strain for a given antibiotic, time-kill assays give a higher-resolution survival rate and are performed to accurately quantify the bacterial viability. The profile of the killing curve can be used to determine whether a given bacterial strain is sensitive, tolerant, or resistant to the antibiotic in a given condition. Moreover, time-kill assays allow the determination of the time of antibiotic exposure needed to detect the persistence phenomenon (beginning of the second slope of the biphasic killing curve) as well as the persistence frequency.
5. Microfluidic time-lapse microscopy imaging
NOTE: The following section describes the preparation of the microfluidic plate as well as the time-lapse image acquisition and image analysis procedure. The aim of this experiment is to observe and analyze the persistence phenotype upon antibiotic treatment at the single-cell level. The data collected during this experiment can be used to generate a wide range of results depending on the question addressed and/or the fluorescent reporters used during the experiment. In the experiment described here, quantitative analysis of the cell length and HU-mCherry fluorescence22, reflecting the nucleoid organization in persister and non-persister cells, was carried out.
As described above, the strains used for the single-cell phenotypic analysis of persister cells were characterized in MOPS glycerol 0.4% medium. The monitoring of the OD600nm over time showed no difference between the wt and hupA-mCherry strains (Figure 1). This indicates that the expression of the HU-mCherry fusion protein did not impact growth in these conditions. The bacterial cells of both strains initially inoculated at an OD600 nm of 0.01 reached the exponential phase ±8 h after inoculation.
The MIC of OFX was determined by standardized methods (here, serial agar dilution)24. MIC is defined as the minimal concentration where no visible growth is detected. The MIC of OFX for both strains was determined to be 0.06 µg·mL−1, indicating that the hupA-mCherry fusion had no effect on the sensitivity to OFX in comparison with the isogenic wt strain (Figure 2).
We further determined the effect of a lethal OFX treatment (83-fold MIC) on the viability of both strains used in this study. As the viable cell count decreases over time with OFX exposure, the dilutions of bacterial cultures need to be adjusted appropriately to reach 30 to 300 colonies per plate. To determine the appropriate dilutions over time, a spot assay was performed, where 10 µL from 0 to 10−7 serial 10-fold dilutions were placed on square Petri dishes using a multi-channel pipette. The appropriate dilutions were those where isolated clones were visible (e.g., at t0 = 10−5, t1h = 10−4/10−3, t4h = 10−2/10−1) (Figure 3).
While the spot assay is an easy method to gain insights into the kinetics of OFX-mediated killing, it fails to accurately determine the killing dynamics. When the viability of exponentially growing cells treated with OFX was monitored by the time-kill assay, a typical biphasic curve was observed (Figure 4). The first slope of the curve reflects the rapid killing of the non-persister population (red dashed line). In the conditions tested here, up to 99.9% of the cells were unable to form colonies after 3 h in the presence of OFX. This first phase of killing is followed by a second phase, showing a slower killing rate (blue dashed line), which reveals the presence of drug-tolerant persister cells. In the conditions tested, the persister phase started around 3 h after the OFX addition, highlighting the necessity to expose the cells to OFX for longer than 3 h to investigate the persister phenotypes. Importantly, the time-kill curve shows that the hupA-mCherry fusion protein had no effect on the time-kill kinetics. The strain encoding the translational fluorescent fusion can, therefore, be used to monitor the persister cells using fluorescence microscopy.
We further went on to investigate the persistence phenomenon at the single-cell level. To do so, the hupA-mCherry strain was introduced into a microfluidic plate, which allowed for the change of medium conditions (here, growth, treatment, and recovery) while performing time-lapse microscopy on a given ROI. During the first step of the microfluidic experiment, the cells introduced into the microfluidic device were perfused with growth medium (MOPS glycerol 0.4%) and divided with a generation time of ~2 h (Figure 5 and Figure 6). This first phase of growth indicates that cells were viable and actively dividing before the OFX treatment.
After this first phase of growth, the cells were perfused with growth medium supplemented with 5 µg·mL−1 OFX for 6 h. As soon as the antibiotic reached the cells, cell division was blocked (Figure 5 and Figure 6). After 6 h of OFX treatment, the cells were perfused with fresh medium. While the vast majority of the cells were unable to resume growth (Figure 5 and Figure 6), a small subpopulation of bacteria was capable of elongating and generating filamentous cells25. These cells, which were able to divide and generate viable daughter cells after the OFX treatment, can be defined as the persister cells.
As this setup allows for the visualization of the persister cells before, during, and after treatment, it not only provides information about the persister phenotype during the recovery phase but also about the physiological state of the persister cells before the treatment (Figure 6). In the conditions tested, the persister cells divided similarly to non-persister cells prior to the OFX treatment, indicating that the observed persister cells did not originate from a dormant subpopulation (Figure 6)25.
The cell length analysis of persister cells during the recovery phase revealed that each filament had a specific rate of elongation. The cell length reached by each persister before the first division differed from one persister to another. Similarly, the timing of the first division event was highly heterogeneous (Figure 6). The dividing persister filament generated multiple daughter cells, which started to grow and divide, for the most part, similarly to untreated cells (Figure 7). The successive division of the filament then resulted in a progressive decrease in the cell length, ultimately giving rise to daughter cells with similar cell length to before the OFX treatment (Figure 6 and Figure 7B). The vast majority of the cells were unable to induce filamentation after OFX removal. This large cell population corresponds to the dead cells (Figure 5 and Figure 6).
The fluorescent fusion of the nucleoid-associated protein HU allows for the visualization of the dynamics of the nucleoid22. The analysis of the total fluorescence intensity of HU-mCherry within the cell can be used as a proxy for the DNA content22,25. During the growth phase (before OFX treatment), the total mCherry fluorescence intensity varied, reflecting the dynamics of chromosome replication and segregation during the cell cycle (Figure 8). After OFX addition, the mCherry fluorescence increased at the mid-cell, indicative of nucleoid compaction, which has been shown to be induced by the formation of double-strand DNA breaks28 (Figure 5). Double-strand DNA breaks are a consequence of the mechanism of action of OFX, which corrupts the type II topoisomerases DNA-gyrase and topoisomerase IV29,30. In E. coli, DNA-gyrase is the primary target of OFX29,30. By binding its target at a critical step of the double-strand passage mechanism, OFX inhibits the relegation of the cleaved DNA strands, ultimately leading to the release of double-strand DNA breaks30. As described above, the persister cells to OFX treatment started to filament during recovery25 (Figure 6). The increase in cell length correlated with an increase in the total mCherry fluorescence intensity, which reflects replication restart and an increase in the nucleoid abundance in the filament25 (Figure 7a and Figure 8). For dead cells, the total mCherry fluorescence intensity remained stable during the treatment and during the recovery phase, indicating that these cells were unable to replicate their chromosomes after OFX removal (Figure 8). Microfluidic video (Video 1) of E. coli HU-mCherry cells before, during, and after ofloxacin treatment is also shown.
Figure 1: Growth monitoring of wt and hupA-mCherry E. coli strains. Optical density monitoring (OD600 nm) of wt (black) and hupA-mCherry (red). The shades and dashed lines indicate the standard deviations of the biological triplicates. Please click here to view a larger version of this figure.
Figure 2: Determination of the MIC of OFX for the wt and hupA-mCherry E. coli strains. The wt (♦) and hupA-mCherry (●) were grown in LB medium, and 2 µL were spotted on serial dilutions of OFX-containing LB agar (concentration indicated in each panel in µg·mL−1). Growth inhibition is visible at a minimum of 0.06 µg·mL−1. The figure is a representative experiment of biological triplicates. Scale bar = 1 cm. Please click here to view a larger version of this figure.
Figure 3: Spot assay of wt and hupA-mCherry E. coli strains upon exposure to OFX. The (A) wt and (B) hupA-mCherry strains were grown in MOPS glycerol 0.4% as described in the protocol (section 3), and the exponentially growing cells (OD600 nm = 0.3) were treated with 5 µg·mL−1 OFX. T0 corresponds to the time point before the addition of OFX. T1, T2, T3, T4, T5, and T6 correspond to 1-6 h after the OFX addition. The figure is a representative experiment of biological triplicates. Please click here to view a larger version of this figure.
Figure 4: Time-kill assay of wt and hupA-mCherry E. coli strains upon exposure to OFX. The wt (♦) and hupA-mCherry (●) strains were grown in MOPS glycerol 0.4% as described in the protocol (section 4), and the exponentially growing cells (OD600 nm = 0.3) were treated with 5 µg·mL−1 OFX. The dashed lines indicate the first "rapid" (red) killing phase and the second "slow" (blue) killing phase, corresponding to the sensitive and persistent subpopulations (obtained by linear regression between T0 and T2, as well as between T3 and T6, respectively). The error bars indicate the standard deviations of the biological triplicates. Please click here to view a larger version of this figure.
Figure 5: Representative images of the OFX persister and dead cells using microfluidic tools. Representative microscopy images showing the relevant time points of the microfluidic experiment performed with the hupA-mCherry strain (phase contrast in grey, HU-mCherry signal in red). The cells expressing the tagged hupA-mCherry were grown in a microfluidic plate (here, 4 h), followed by an OFX challenge (5 µg·mL−1). After 6 h in the presence of OFX, the cells were perfused with fresh medium, allowing the persister cells to recover. The persister cell and its progeny cells during the OFX treatment and after OFX removal are highlighted in green and blue, respectively. The corresponding time points are indicated on each panel. Scale bar = 5 µm. Please click here to view a larger version of this figure.
Figure 6: Microscopy time-lapse analysis of the length of the persister and dead cells. Cell length analysis of dead cells (in red, n = 109) and persister cells (in grey, n = 13). The start of the OFX treatment (5 µg·mL−1) is indicated by the red dashed line (5 h), and the OFX removal is indicated by the blue dashed line. The inset corresponds to the growth phase before OFX addition. The experiments were performed in triplicate. The shades and dashed lines indicate the standard deviations for the dead cell population (n = 109). Please click here to view a larger version of this figure.
Figure 7: Microscopy time-lapse analysis of a representative persister to OFX. (A) Kymograph of a representative OFX persister and its daughter cells generated by filament divisions during 8.5 h after OFX removal (18.5 h after the beginning of the microfluidic experiment, comprising 4 h of growth, 6 h of 5 µg·mL−1 OFX treatment, and 8.5 h of recovery after OFX removal). One frame corresponds to 15 min. Scale bar = 5 µm. (B) Mask generated from the persister kymograph in A. The monitored persister cell is indicated with a blue outline, and the daughter cells are highlighted in distinct colors. (C) Schematic representation of the persister cell lineage generated from B. The color coding is identical to B. Please click here to view a larger version of this figure.
Figure 8: Cell length and mCherry fluorescence analysis of representative persister and dead cells. Analysis of the cell length (left axis) and the total HU-mCherry fluorescence intensity (right axis, shown in arbitrary units) of a representative persister (solid black and red lines) and a representative dead cell (dashed black and red line) during the microfluidic time-lapse experiment. The start of the OFX treatment (5 µg·mL−1) is indicated by the red dashed line, and the OFX removal by the blue dashed line. Please click here to view a larger version of this figure.
Video 1: Microfluidic video of E. coli HU-mCherry cells before, during, and after ofloxacin treatment. Microfluidic time-lapse imaging showing HU-mCherry cells. The cells were grown for 4 h in MOPS glycerol 0.4%. After 6 h of OFX treatment (5 µg·mL−1), the antibiotic-free medium was perfused in the microfluidic plate to allow the persister cells to recover. Scale bar = 5 µm. Time (in min) is indicated. The growth and recovery phases are indicated by "MOPS- Gly. 0.4%" and the OFX treatment by "OFX 5 µg/mL". Please click here to download this Video.
10x MOPS | |||
Stock solution | Volume of stock solution for 1 L of 10x MOPS | Final concentration in 10x MOPS base | |
MOPS acid | 1 M (adjusted to pH 7.4 using KOH) | 400 mL | 0.4 M |
Tricine | 1 M (adjusted to pH 7.4 using KOH) | 40 mL | 0.04 M |
FeSO4.7H2O | 0.01 M | 10 mL | 0.0001 M |
NH4Cl | 1.9 M | 50 mL | 0.095 M |
K2SO4 | 0.276 M | 10 mL | 0.00276 M |
CaCl2.2H2O | 0.0005 M | 10 mL | 0.000005 M |
MgCl2.6H2O | 0.528 M | 10 mL | 0.00528 M |
NaCl | add directly 29.2 g | 0.5 M | |
Distilled water | 460 mL | ||
Micronutriments 1000x (see Table 2) | 10 mL |
Table 1: Composition of 10x MOPS.
Micronutriments 1000x | ||
Concentration in Micronutriments 1000x stock solution | Final concentration in 10x MOPS base | |
(NH4)6Mo7O24.4H2O | 0.000003 M | 0.00000003 M |
H3BO3 | 0.0004 M | 0.000004 M |
CoCl2.6H2O | 0.00003 M | 0.0000003 M |
CuSO4.5H2O | 0.00001 M | 0.0000001 M |
MnCl2.4H2O | 0.00008 M | 0.0000008 M |
ZnSO.7H2O | 0.00001 M | 0.0000001M |
Table 2: Composition of 1,000x micronutrients.
MOPS glucose 0.4% or MOPS glycerol 0.4% | |||
Stock solution | Volume for 1 L MOPS glucose 0.4 % or MOPS glycerol 0.4 % | Final concentration in MOPS glucose 0.4% or MOPS glycerl 0.4% | |
10x MOPS | see Table 1 | 100 mL | |
K2HPO4 | 0.132 M | 10 mL | 0.00132 M |
Glucose (for MOPS glucose 0.4%) | 20% (20 g in 100 mL distilled water) | 20 mL | 0.40% |
Glycerol (for MOPS glycerol 0.4%) | ≤99% | 4 mL | 0.40% |
Distilled water | 870 mL for MOPS glucose 0.4% or 886 mL for MOPS glycerol 0.4% |
Table 3: Composition of MOPS glucose 0.4% and MOPS glycerol 0.4%.
The protocol presented in this paper allows the analysis of the persistence phenotype observed in response to antibiotic treatment at the population and single-cell levels. The experiments were performed with the E. coli MG1655 strain, which was grown in a chemically defined medium (MOPS glycerol 0.4%). Time-kill assays and microscopy experiments were carried out on exponential-phase cultures. We used OFX, a fluoroquinolone, at a concentration of 5 μg·mL−1 to reveal the persister cells. The approaches described here can be applied to other bactericidal antibiotics, such as β-lactams, aminoglycosides, or antimicrobial compounds31. Accordingly, other bacterial strains, media, or growth conditions can be used. Monitoring different fluorescent fusions in a similar setup to that described here can be useful for following cellular processes such as DNA replication32, DNA repair25,33, and cell division34 before, during, and after the antibiotic treatment. Similarly, fluorescent reporters can be exploited to investigate distinct aspects of cell physiology, such as intracellular pH35, ATP36, or ROS37 levels. Alternatively to fluorescent fusions, chemical dyes could also be applied. For example, the hupA-mCherry fusion could be replaced by 4',6-diamidino-2-phenylindole (DAPI), a fluorescent dye that stains DNA38. Performing time-lapse microscopy coupled with such fluorescent dyes should, however, be avoided, as these staining techniques can perturb the dynamics of the cell cycle during time-lapse experiments. Alternatively, such experiments can be replaced by time-course analyses of snap-shot imaging at relevant timepoints.
While such fluorescent reporters are helpful, the amount of information that can be extracted through the analysis of phase-contrast images should not be neglected. Here, we monitored cell length evolution throughout the growth, OFX treatment, and recovery stages. Other parameters based on phase-contrast images, such as cell width, phase-contrast intensity, and curvatures of the bacterial cells, can also be extracted with ease by using adequate software, such as MicrobeJ27.
In summary, the procedure described here can be applied to other conditions and bacterial species to monitor cellular responses to changing environments or stressors18,19. By using other fluorescent reporters (transcriptional and translational reporters, chemical dye) in combination with a population analysis, such as flow cytometry/FACS, interesting questions can be addressed in a multi-scale framework.
The authors have nothing to disclose.
Work in the Van Melderen lab is supported by the ARC actions 2018-2023, the Fonds National de la Recherche Scientifique (FNRS CDR J.0182.21F). T.O. is supported by a ULB fellowship. T.S. is supported by an FRIA fellowship (FNRS). J.C. is supported by a post-doctoral fellowship "chargé de recherches" (FNRS).
Axio Observer | Zeiss | Inverted fluorescence microscope | |
CaCl2.2H2O | Merck | 1.02382.0250 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
CellASIC ONIX Microfluidic System | Merck | CAX2-S0000 | Microfluidic system |
CellASIC ONIX2 FG | Merck | ONIX2 1.0.1 | Microfluidic software |
CellASIC ONIX2 Manifold Basic | Merck | CAX2-MBC20 | Manifold system |
CoCl2.6H2O | Merck | 1.02539.0100 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
CuSO4.5H2O | Merck | 1.02790.0250 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
D-(+)-glucose | Sigma Aldrich | G7021-1KG | Carbon source for MOPS glucose 0.4% growth medium |
E. coli K-12 MG1655 CF1648 (fnr+) | BE10 | wt reference strain, lab strain | |
E. coli K-12 MG1655 CF1648 (fnr+) hupA-mCherry::FRT-kan-FRT | BE16 | HU-mCherry fusion integrated via P1 transduction at the native locus, lab strain | |
FeSO4.7H2O | VWR Chemicals | 24244.232 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
Fiji | ImageJ | https://fiji.sc/ | Image software; Schindelin et al. if used in publication |
Glycerol | Merck | 56815 | Carbon source for MOPS glycerol 0.4% growth medium |
Greiner CELLSTAR® multiwell culture plate | Merck | M8812-100EA | 24-well clear flat bottom 2ml volume culture plate for automated plate reader |
H3BO3 | Sigma-Aldrich | B6768-1KG | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
Hamamatsu ORCA Flash 4.0 digital camera | Hamamatsu | C13440-20CU | Digital Image Acqusition |
K2HPO4 | Merck | 1.05099.1000 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
KOH | Merck | 1.05029.1000 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
K2SO4 | Merck | 1.05153.0500 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
Luria-Broth agar medium | Invitrogen | 22700041 | Growth medium for plating assay |
Luria-Broth medium | Invitrogen | 12780029 | Growth medium for MIC determination |
MgCl2.6H2O | Merck | 1.05832.1000 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
MgSO4 | Merck | 7487-88-9 | Dilution solution for bacterial survival assay used at 10mM |
MicrobeJ | Imagej/Fiji plugin | https://www.microbej.com/ | Microscopy image analysis plugin. Ducret et al.for in publication; Detection settings: For bacteria : Area (μm2): 0,1-max; Length (μm): 0,5-max; Width (μm): 0,6-max; Range (μm): 0,5-max; Angularity (rad): 0-0,3; 0-max for all other parameters. |
Microfluidic Plates CellASIC ONIX | Merck | B04A-03-5PK | Plate for microfluidic system |
MnCl2.4H2O | Merck | 1.05927.0100 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
MOPS, Free Acid ULTROL® Grade | Merck | 475898-500GM | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
NaCl | SIgma-Aldrich | S5886-1KG | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
(NH4)6Mo7O24.4H2O | Merck | 1.01180.0250 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
NH4Cl | Merck | 1.01145.0500 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
Ofloxacin | Merck | 82419-36-1 | Fluoroquinolone antibiotic used to treat the bacterial cells |
Phosphate Buffered Saline (PBS) pH 7.4, 1x | Merck | P3813 | Dilution buffer |
GENESYS 10S UV-Visible Spectrophotometer | Thermofisher Scientific | 840-208200 | UV-Visible Spectrophotometer, Single/Six Cell Holder with PrinterMeasurement of optical density OD600nm |
SoftMax Pro | Molecular Devices | Microplate reader software | |
SpectraMax i3x | Molecular Devices | Microplate reader | |
N-[Tris(hydroxyméthyl)-méthyl]-glycine | Merck | 1.08602.0250 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |
Zeiss® immersion Oil 518F | Zeiss | Immersion oil to increase resolution of microscope | |
Zen3.2 Pro | Zeiss | Microscopic image acquisition and processing software | |
ZnSO4.7H2O | Merck | 1.08883.0500 | For MOPS glucose 0.4% and MOPS glycerol 0.4% growth medium |