Kinetic Visualization of Single-Cell Interspecies Bacterial Interactions

Summary

This live-bacterial cell imaging protocol allows for visualization of interactions between multiple bacterial species at the single-cell level over time. Time-lapse imaging allows for observation of each bacterial species in monoculture or coculture to interrogate interspecies interactions in multispecies bacterial communities, including individual cell motility and viability.

Abstract

Polymicrobial communities are ubiquitous in nature, yet studying their interactions at the single-cell level is difficult. Thus, a microscopy-based method has been developed for observing interspecies interactions between two bacterial pathogens. The use of this method to interrogate interactions between a motile Gram-negative pathogen, Pseudomonas aeruginosa and a non-motile Gram-positive pathogen, Staphylococcus aureus is demonstrated here. This protocol consists of co-inoculating each species between a coverslip and an agarose pad, which maintains the cells in a single plane and allows for visualization of bacterial behaviors in both space and time.

Furthermore, the time-lapse microscopy demonstrated here is ideal for visualizing the early interactions that take place between two or more bacterial species, including changes in bacterial species motility in monoculture and in coculture with other species. Due to the nature of the limited sample space in the microscopy setup, this protocol is less applicable for studying later interactions between bacterial species once cell populations are too high. However, there are several different applications of the protocol which include the use of staining for imaging live and dead bacterial cells, quantification of gene or protein expression through fluorescent reporters, and tracking bacterial cell movement in both single species and multispecies experiments.

Introduction

Polymicrobial communities are common in nature, spanning a variety of environmental^1,2,3 and human niches^4,5. Some of the most notorious polymicrobial infections in human disease include dental biofilms⁶, chronic wounds^7,8, and respiratory infections in individuals with chronic obstructive pulmonary disease⁹, ventilator-associated pneumonia¹⁰, and the genetic disease cystic fibrosis (CF)^11,12. These infections are often composed of diverse microbial species; however, a recent focus on the interactions between the Gram-positive bacterium Staphylococcus aureus and the Gram-negative bacterium Pseudomonas aeruginosa has emerged. Studies including patients coinfected with these organisms and in vitro analyses reveal both competitive and cooperative interactions that can have profound and unexpected influences on disease progression, microbial survival, virulence, metabolism, and antibiotic susceptibility (reviewed in detail by Hotterbeekx et al. 2017¹³ and Limoli and Hoffman 2019³).

The growing interest in interspecies interactions during infection has yielded a variety of methods for studying polymicrobial community behaviors. Typically, these studies have utilized plate or broth-based assays to investigate the phenotypic differences between monoculture and coculture. For example, coculturing P. aeruginosa and S. aureus on solid surfaces has allowed for visualization of growth inhibition or changes in colony phenotype, pigment, or polysaccharide production^14,15,16. Mixed species biofilms, on biotic or abiotic surfaces, as well as coculturing bacterial species in liquid culture also has enabled measurement of changes in growth, metabolism, antibiotic tolerance, competition and viability, in addition to gene and protein expression^17,18. While these bulk culture experiments have revealed insight into how P. aeruginosa and S. aureus might influence one another on the community-scale, they are unable to answer important questions about the interactions that take place at the single-cell level. The method presented here adds to the approaches for studying interspecies interactions by focusing on the changes in movement, cell viability, and gene expression of single cells within a cocultured community over time.

Single-cell interactions can widely differ from the interactions that take place in a bulk community of cells. Through single-cell analysis, heterogeneity within a community can be quantified to study how spatial placement of cells influence community dynamics or how gene and protein expression levels change within individual members of a group. Tracking cells can also provide insight into how single cells move and behave over time, through multiple generations. By tracking cell movement and changes in gene expression concurrently, correlations can be made between gene fluctuations and corresponding phenotypes. Previous protocols for studying individual bacterial species at the single-cell level have been described. These studies take advantage of live-imaging cells over time in a single plane, and have been useful for observing phenotypes like cell division and antibiotic susceptibility^19,20. Additional live-imaging microscopy has been utilized to monitor growth, motility, surface colonization and biofilm formation of single bacterial species^21,22,23. However, while these studies have been insightful for understanding the physiology of bacteria in monoculture, experiments for observing single-cell behavior of multiple bacterial species over time in coculture are limited.

Here, previous protocols used for single-species imaging have been adapted to study interactions between P. aeruginosa and S. aureus. These organisms can be differentiated under phase contrast based on their cell morphologies (P. aeruginosa are bacilli and S. aureus are cocci). Development of this method recently enabled the visualization of previously undescribed motility behaviors of P. aeruginosa in the presence of S. aureus²⁴. P. aeruginosa was found to be capable of sensing S. aureus from a distance and responding with increased and directional single-cell movements towards clusters of S. aureus cells. P. aeruginosa movement towards S. aureus was found to require the type IV pili (TFP), hair-like projections whose coordinated extension and retraction generate a movement called twitching motility²⁵.

These studies demonstrate the utility of this method for interrogating earlier interactions between species. However, imaging at high cell densities at later interaction time points is difficult given that single layers of cells can no longer be identified, which mostly poses issues during post-imaging analysis. Given this limitation, the method is best suited for earlier interactions that could then be followed up with traditional macroscopic assays at higher cell densities representative of later interactions. Additional limitations of this method include the low-throughput nature, since only one sample can be imaged at a time and the cost of the microscope, camera, and environmental chamber. Moreover, fluorescence microscopy poses risks to the bacterial cells like phototoxicity and photobleaching, therefore limiting the frequency that fluorescence images can be acquired. Lastly, the agarose pads used in this method are highly susceptible to changes in the environment, making it critical to control for conditions like temperature and humidity, given that the pads can start to shrink or expand if the conditions are not correct. Finally, while this method does not mimic the host environment, it provides clues for how different bacterial species respond on surfaces, which can be followed-up in assays designed to mimic environmental/host conditions.

This method differs from previous studies tracking single-cell movement, in that cells are inoculated between a coverslip and agarose pad, restricting cells to the surface. This enables cell tracking over time in a single plane; however, limits cycles of transient surface engagement observed when cells are submerged in liquid²⁶. An additional benefit of imaging bacteria under an agarose pad is that it mimics macroscopic plate-based sub-surface inoculation assays classically used to examine P. aeruginosa twitching motility²⁵. In this assay, bacterial cells are inoculated between the bottom of a Petri dish and the agar, keeping the cells in a single plane as they move across the bottom of the dish outward from the point of inoculation, much like this microscopy protocol.

The time-lapse microscopy protocol for visualizing interspecies interactions presented here consists of 1) preparing the bacterial sample and agarose pad, 2) selecting microscope settings for imaging acquisition and 3) post-imaging analysis. Detailed visualization of cell movement and tracking can be performed by acquisition of images at short time intervals by phase contrast. Fluorescence microscopy can also be utilized to determine cell viability or gene expression over time. Here, we show one example of adaptation for fluorescence microscopy through the addition of viability dyes to the agarose pads.

Protocol

NOTE: A full description and catalog numbers for all supplies in this protocol can be found in the Table of Materials.

1. Preparation of M8T minimal media

1. Prepare 1 L of M8 minimal salts base (5x) by dissolving 64 g of Na₂HPO₄·7H₂O, 15 g of KH₂PO₄, and 2.5 g NaCl in 800 mL of ultrapure water (UPW, resistivity 18 MΩ/cm) in a 2 L bottle. pH to 7.6. Complete volume to 1 L with UPW. Autoclave for 45 min.
2. Prepare 500 mL of a glucose solution (20% w/v) by dissolving 100 g of glucose in 400 mL of UPW in a 1 L bottle. Complete solution to 500 mL with UPW. Autoclave for 45 min.
3. Prepare 500 mL of a tryptone solution (20% w/v) by dissolving 100 g of tryptone in 400 mL of UPW. Complete to 500 mL with UPW. Autoclave for 45 min.
4. Prepare 1 L of M8 + 10% tryptone (M8T) minimal media by adding 200 mL of 5x M8 minimal salts (1x final), 10 mL of 20% glucose (0.2% final), 1 mL of 1 M MgSO₄ (1 mM final), and 50 mL of 20% tryptone (1% final) to 600 mL of UPW. Complete to 1 L with UPW. Filter through a 0.2 μm sterile filter into a sterile 500 mL media storage bottle.

Day 1:

2. Preparation of bacterial overnight cultures

1. Inoculate 5 mL of M8T minimal media with a single colony of P. aeruginosa or S. aureus (including antibiotics when appropriate) and incubate overnight at 37 °C with aeration for no longer than 16 h.
   NOTE: The bacterial pathogens P. aeruginosa and S. aureus were used for this method, because they are commonly coisolated from chronic infections, and studying their interactions is important to understand how they contribute to patient outcomes during polymicrobial infections. Other bacterial species could be used depending on the focus of the study.

Day 2:

3. Subculture of bacterial strains

1. Subculture P. aeruginosa 1:500 and S. aureus 1:1000 in 5 mL of fresh M8T (include antibiotics when appropriate). Incubate with aeration at 37 °C until cultures reach mid-log phase (OD₆₀₀ = ~0.3 - 0.5).

4. Preparation of materials for pad molds

1. Prepare metal spatulas by heating the end of a flat, rounded laboratory spatula with a Bunsen burner until half of the flat end can be bent to a 90° angle. Heat the end of another flat, rounded laboratory spatula and slightly bend the last 10 mm to a 45 °C angle.
2. Cut off the four corners of the silicone molds so that the molds fit inside a 35 mm dish.
3. Sterilize the spatulas and a pair of tweezers by adding 70% ethanol and passing them through the flame of the Bunsen burner.
4. Clean the dish and silicone molds with 70% ethanol and dry them with lint-free wipes.

5. Preparation of agarose pads

NOTE: The pads are prepared with the M8T minimal media as the nutrient source for the bacteria used in this protocol. However, the nutrients used in the pads can be modified for different organisms.

1. Melt 2% low-melt agarose in 10 mL of M8T in a clean 50 mL Erlenmeyer flask. Microwave in short intervals (2-5 s) until the agarose is in solution in order to prevent the contents of the flask from boiling over. Once melted, let cool in a 50 °C water bath for at least 15 min.
2. Prepare molds by aligning the silicone cutout with the opening in the 35 mm dish and tap lightly with spatula to secure the silicone to the dish, and to remove all air bubbles between the mold and the dish.
3. Once cool, pipette 915 µL of molten agarose into the mold. Leave the lid ajar and let the pad dry at room temperature for 30 min.
4. Cover the dish with the lid and leave at room temperature for an additional 2 h.
5. Prepare humidity wipes by tightly rolling up a lint-free wipe. Place the rolled wipe inside a sterile Petri dish and evenly add 500 µL of sterile water across the wipe. Warm to 37 °C for 1 h.
6. Warm the pad and a sterile 35 mm dish to 37 °C for 1 h.

6. Preparation of bacterial cells and inoculating pads

1. Measure the OD₆₀₀ of each subculture and dilute P. aeruginosa to an OD₆₀₀ = 0.03 and S. aureus to an OD₆₀₀ = 0.10 in M8T prewarmed to 37 °C. Mix P. aeruginosa and S. aureus in a 1:1 ratio and vortex.
   NOTE: If strains require antibiotics, the antibiotics can be added to the overnight and subculture, but should not be added when mixing species for imaging if it affects the other species in the coculture. Plasmid stability and the effects of antibiotics on all species in the coculture will need to be determined for each organism/plasmid being used.
2. Pipette 1 µL of coculture evenly across the bottom of a pre-warmed, sterile 35 mm glass coverslip dish.
3. Remove the silicone cutout from the mold using sterile tweezers.
4. Remove the pad from the dish using sterile spatulas.
   1. Slip the slightly bent spatula under the edge of the pad, while holding the mold upside down, to drop it out onto a sterile Petri plate lid.
      NOTE: Take care not to force the pad out or it will rip. Keep track of which side of the pad is the bottom.
5. Transfer the pad to the dish with the bacterial cells, bottom-side-down, by sliding the 90° angled spatula under the pad and placing it on top of the inoculated coverslip. Use the 90° angled spatula to make the pad flush against the coverslip and gently press out any air bubbles.
6. Remove excess moisture from moist wipes then place around the edge of the dish, making sure it does not touch the pad. The sample is now ready for imaging.

7. Setting up the microscope for live imaging

1. Warm environmental chamber to 37 °C at least 2 h prior to experimental set-up.
2. Turn on all components including microscope, computer, and light sources for brightfield and fluorescence imaging.
3. Open the imaging software and make sure that light sources are connected and running.
4. Perform Köhler illumination²⁷ to align all image planes.
   1. First, bring marked coverslip into focus with a 20x objective using a “dummy” dish. Make sure the condenser turret is set to the “open” position.
      NOTE: Köhler illumination should be performed for each unique objective/sample to properly align image planes. However, focus and alignment with the “dummy” dish on lower magnification expedites set-up on live samples at higher magnification to limit time between set-up and experiment start time.
   2. Focus the condenser.
      1. Close the field diaphragm.
         NOTE: An octagon-shaped aperture should appear. If the condenser is completely out of focus, the entire field of view (FOV) will appear dark.
      2. Rotate the condenser focusing knobs until the octagon edges are crisp.
         NOTE: The light intensity will increase as the image planes approach the correct alignment.
   3. Align the condenser.
      1. Center the field condenser by adjusting the aligning knobs.
         NOTE: The octagon should be centered to the middle of the FOV. The aligning knobs differ depending on the microscope. For example, some microscope condensers have knobs, while others have screws requiring a screw driver.
   4. Focus the lamp filament and adjust the condenser aperture.
      1. Place a phase telescope or Bertrand lens into the light path to observe the back focal plane of the objective.
         NOTE: There should be two concentric circles.
      2. Turn the Bertrand lens focus knob until the rings look crisp.
      3. Remove the Bertrand lens from the light path.
   5. Open the field diaphragm until the octagon is just outside of the FOV.
   6. Change to the 100x objective and slide the matching phase ring into place before adding a drop of immersion oil, and place the prepared sample dish on top.
   7. Perform Köhler illumination on the 100x objective with the bacterial sample dish.
5. Focus on the bacteria using the fine adjustment only. Once the bacteria in the FOV are focused through the eyepiece, switch the light path to the camera by pressing the camera button on the microscope.
6. Click the Phase option in the imaging software.
7. Adjust the percentage of DIA LED light emitted by selecting the light source in the software and either manually entering the desired percentage of light to be used or sliding the bar on the light percentage scale.
8. Adjust the DIA LED light exposure time by clicking on the light source and either manually entering the desired exposure time or selecting an exposure time from the provided drop-down menu.
   NOTE: The exposure time will vary depending on the camera being used.
9. If using fluorescence, adjust the camera settings in each corresponding channel (i.e., TxRed, GFP), by clicking on the fluorescent channel of interest.
   1. Set the percentage of fluorescence light emitted, then adjust the exposure time (as performed in steps 7.7 and 7.8 for DIA LED light).
   2. Alternatively, change the bit depth to adjust the dynamic range by selecting one of the other bit depth options in the visualization controls drop-down menu.
10. Choose the XY positions of interest by clicking on the XY option in the acquisition controls menu.
    1. Move the stage position with the joy stick, or by clicking and dragging the FOV on the screen, and click on the empty box to save the X and Y coordinates of a specific position.
       NOTE: Selection of no more than three different XY positions, as close together as possible, is recommended for time-lapse acquisition.
11. Turn on the perfect focus system (PFS) by either clicking the PFS box on the XY tab of the acquisition control menu or pressing the PFS button on the joy stick control panel.
12. Rotate the fine adjustment knobs to focus on the bacterial cells.
13. Click the PFS button for each XY position, once cells are in the desired plane of focus.
    NOTE: PFS compensates for drift in the Z-axis during time-lapse experiments. This is necessary to maintain focus of bacterial cells over time. Different manufactures have different compensation systems.
14. Choose the image acquisition conditions including acquisition interval and frequency for each channel (e.g., phase contrast and each fluorophore) by selecting from the options in the acquisition controls menu.
    NOTE: For the experiments presented here, phase contrast images are acquired at intervals every 5-10 s while fluorescence images in the GFP and TxRed channels are acquired every 20 min.
15. Begin imaging once the microscope and acquisition settings are set up.

8. Optional: Modifications for live/dead imaging

1. Melt 2% agarose in 10 mL of M8T and let cool in 50 °C water bath for at least 15 min.
2. Add 1 mM of propidium iodide to the molten agarose.
3. Once cooled, pipette 915 μL of agarose in the prepared mold.
4. Leave the lid ajar and let pad dry at room temperature for 30 min. Protect from light.
5. Cover the dish with the lid and leave at room temperature for an additional 2 h.
6. Prepare humidity wipes.
   1. Roll a lint-free paper wipe up tightly.
   2. Place the wipe in a sterile Petri dish and add 500 µL of sterile water to the wipe.
   3. Incubate at 37 °C for 1 h.
7. Incubate the pad and a sterile 35 mm dish at 37 °C for 1 h.
8. Proceed to inoculate the dish as indicated in section 6: Preparation of bacterial cells and inoculating pads.

9. Data analysis

1. Identification of cells
   1. Open image file in the imaging software and crop the file to only include the frames to be used for tracking, zoomed in to the cells of interest, and only in the phase contrast channel.
      NOTE: The cropped file can be saved as a new file in which tracking data can be stored without interfering with the original file.
   2. Select the option to choose regions of interest (ROI) in the analysis controls menu and define ROIs by tracing either individual bacterial cells or clusters of cells in the first frame to be used for analysis.
      NOTE: The ROIs can either be defined manually or as binaries.
      1. Manually define ROI
         1. Trace the perimeter of each individual bacterial cell or clusters of cells to manually define the ROIs.
            NOTE: In the analysis software, P. aeruginosa, or other rod-shaped cells, can be manually traced by selecting the Ellipse ROI and drawing an ellipse adjusted to the size of the bacterial cell. Alternatively, the Polygon ROI option can be selected to trace non-traditional-shaped ROIs, such as clusters of cells.
      2. Identify binary ROIs
         1. Click the Binary to ROI option in order to define binary ROIs.
            NOTE: Objects are defined in a binary layer based on separation of the darker-pixelated bacterial cells from the lighter-pixelated background in the phase contrast channel.
         2. To threshold the cells, select the Threshold option in the analysis controls menu. Select the channel of interest and slide the bars in the fluorescence histogram to adjust the threshold interval values.
            NOTE: Binary object identification for ROIs can also be defined in fluorescent images by thresholding the bacterial cells. Thresholding establishes which fluorescence intensities are considered objects and what fluorescence intensities constitute the background.
2. Cell tracking
   1. To manually track ROIs, select the next frame in the imaging sequence and adjust the position of the ROIs by clicking and dragging each ROI to align with the new position of the original bacterial cell.
      NOTE: If the bacterial cells have not changed position, the ROIs do not need to be moved.
   2. Repeat in all sequential frames for which cells are to be tracked.
   3. As cells divide, define the daughter cells as new ROIs, as described in step 9.1, and begin tracking the newly divided cells.
      NOTE: If cells are identified as binaries, use the Track Binaries function to automatically track ROIs in selected frames.
   4. Once cells have been tracked through all selected frames, export the data to be analyzed.
   5. Open the data spreadsheet and identify the measurements required for analysis (i.e., object speed, acceleration, or path length).
      NOTE: In the case of measuring directedness, the Path Length and Line Length measurements are required. The Line Length is a measurement of the Euclidian distance, or the straight distance from the track origin to the edge of the S. aureus colony. The Path Length is a measurement of the accumulated distance, or the sum of track segments from all frames. Directedness can be calculated as a ratio of the Euclidian distance, D_(E), (Line Length), over the accumulated distance, D_(A), (Path Length).
3. Fluorescence quantification
   1. Define ROIs for fluorescent bacterial cells as described in step 9.1.
   2. Repeat tracing or movement of ROIs for bacterial cells or clusters in the remaining fluorescent frames.
   3. Export the generated table to a spreadsheet file for analysis of fluorescent intensity.
   4. In the data spreadsheet, look for the column with “Mean Intensity” which represents the average fluorescence intensity for the traced bacterial cell(s) ROI.
   5. Graph the Mean Intensity values to look at the changes in fluorescence over time.
      NOTE: The changes in fluorescence over time represent the fluctuation of gene expression for the fluorescently labeled gene of interest.

Results

Successful use of the described method will result in a series of frames that generate a video in which the interspecies interactions can be observed over time. The schematic in Figure 1 provides a visual to highlight the key steps involved in preparing materials for imaging. Use of this method has allowed the demonstration of P. aeruginosa cells exhibiting different behaviors in monoculture versus in coculture with S. aureus. Compared to the P. aeruginosa cells in...

Discussion

The methods presented here describe a protocol for live-cell imaging of bacterial species interactions at the single-cell level with modifications for other applications including cell tracking and monitoring cell viability. This method opens new avenues for studying single-cell behaviors of microorganisms in coculture with other species over time. Specifically, the protocol demonstrates the usefulness of this coculture method in observing bacterial surface behaviors, particularly when studying organisms that have both s...

Materials

List of materials used in this article

Name	Company	Catalog Number	Comments
Agarose pads
35 mm Glass Bottom Dish with 20 mm Micro-well #1.5 Cover Glass	Cellvis	D35-20-1.5-N	One for agarose pad molds, one for experiment
KimWipes	Kimberly-Clark Professional	06-666A
Low-Melt Agarose	Nu-Sieve GTG/Lonza	50081	For making agarose pads
Round-Bottom Spatulas	VWR	82027-492
Round-Tapered Spatulas	VWR	82027-530
Silicon Isolators, Press-to-Seal, 1 well, D diameter 2.0 mm 20 mm, silicone/adhesive	Sigma-Aldrich	S6685-25EA	For agarose pad molds
Sterile Petri Plates, 85 mm	Kord-Valmark /sold by RPI	2900
Tweezers	VWR	89259-944
M8T Minimal Media
D (+) Glucose	RPI	G32045
KH2PO4	RPI	P250500
MgSO4	Sigma-Aldrich	208094
NaCl	RPI	S23025
Na2HPO4.7H2O	Sigma-Aldrich	230391
Tryptone	BD Biosciences	DF0123173
Microscope
Andor Sona 4.2B-11	Andor	77026135	Camera. 4.2 Megapixel Back-illuminated sCMOS, 11 μm pixel, 95% QE, 48 fps, USB 3.0, F-mount.
Filter Cube GFP	Nikon	96372	Filter cube
Filter Cube TxRed	Nikon	96375	Filter cube
H201-NIKON-TI-S-ER	Okolab	77057447	Stagetop incubator
Nikon NIS-Elements AR with GA3 and 2D and 3D tracking	Nikon	77010609, MQS43110, 77010603, MQS42950	Software for data analysis
Nikon Ti2 Eclipse	Nikon	Model Ti2-E	Microscope
CFI Plan Apo ƛ20x objective (0.75NA)	Nikon	MRD00205	Objective
CFI Plan Apo ƛ100x oil Ph3 DM objective (1.45NA)	Nikon	MRD31905	Objective
ThermoBox with built-in fan heaters	Tokai Hit	TI2TB-E-BK	Enclosure
Bacterial Strains
Pseudomonas aeruginosa PA14 (WT)		PMID: 7604262	Non-mucoid prototroph
Pseudomonas aeruginosa PA14 (WT) pSMC21 (Ptac-GFP)		PMID: 9361441
Pseudomonas aeruginosa PAO1 (WT) pPrpoD-mKate2		PMID: 26041805
Staphylococcus aureus USA300 LAC (WT)		PMID: 23404398	USA300 CA-Methicillin resistant strain LAC without plasmids
Staphylococcus aureus USA300 LAC (WT) pCM29 (sarAP1-sGFP)		PMID: 20829608
Staphylococcus aureus USA300 LAC ΔagrBDCA		PMID: 31713513
Viability Stain
Propidium Iodide	Invitrogen	L7012	LIVE/DEAD™ BacLight™ Bacterial Viability Kit