To understand a link between the immune response and behavior, we describe a method to measure locomotor behavior in Drosophila during bacterial infection as well as the ability of flies to mount an immune response by monitoring survival, bacterial load, and real-time activity of a key regulator of innate immunity, NFκB.
A complex interaction between the immune response and host behavior has been described in a wide range of species. Excess sleep, in particular, is known to occur as a response to infection in mammals 1 and has also recently been described in Drosophila melanogaster2. It is generally accepted that sleep is beneficial to the host during an infection and that it is important for the maintenance of a robust immune system3,4. However, experimental evidence that supports this hypothesis is limited4, and the function of excess sleep during an immune response remains unclear. We have used a multidisciplinary approach to address this complex problem, and have conducted studies in the simple genetic model system, the fruitfly Drosophila melanogaster. We use a standard assay for measuring locomotor behavior and sleep in flies, and demonstrate how this assay is used to measure behavior in flies infected with a pathogenic strain of bacteria. This assay is also useful for monitoring the duration of survival in individual flies during an infection. Additional measures of immune function include the ability of flies to clear an infection and the activation of NFκB, a key transcription factor that is central to the innate immune response in Drosophila. Both survival outcome and bacterial clearance during infection together are indicators of resistance and tolerance to infection. Resistance refers to the ability of flies to clear an infection, while tolerance is defined as the ability of the host to limit damage from an infection and thereby survive despite high levels of pathogen within the system5. Real-time monitoring of NFκB activity during infection provides insight into a molecular mechanism of survival during infection. The use of Drosophila in these straightforward assays facilitates the genetic and molecular analyses of sleep and the immune response and how these two complex systems are reciprocally influenced.
This protocol uses two setups (Figure 1) to acquire four different readouts collected from flies subjected to a bacterial infection. These outputs include 1) sleep/wake behavior; 2) survival outcome; 3) bacterial load in the fly; and 4) real-time measurement of NFκB reporter activity in vivo. In combination with the genetic tools that are available in Drosophila, these measurements provide mechanistic insight into the molecular link between immune function and behavior.
1. Measure Locomotor Activity and Sleep in Flies
2. Infect Flies with a Pathogenic Strain of Bacteria
3. Determine the Bacterial Load
One approach to evaluating the immune response against bacterial infection is to determine the bacterial load post infection. D. melanogaster is a great model to determine this parameter because the whole fly can be homogenized to estimate the total bacterial numbers within an individual. The rationale behind this protocol is that when grown on a solid medium such as Luria broth (LB) agar on a Petri dish (LB plate), a single bacterium forms a visible distinguishable colony. Therefore, by homogenizing infected flies in LB liquid medium, generating serial dilutions of the homogenate, and spreading the diluted homogenate onto LB plates, the number of bacterial cells infecting a fly can be determined. A control group of flies injected with PBS and food coloring but without bacteria should be used to verify that the infection was not contaminated with other bacterial species. There should be no colonies on the LB agar plate in this condition.
4. Evaluate Sleep and Survival Duration After Infection
5. Measure NFκB Activity During Infection Using a Luciferase Reporter Assay
Transgenic κB-luc flies used in this assay were generated previously as described in Kuo et al., 20102. Briefly, the κB-luc reporter contains 8 repeats of an NFκB binding sequence that were inserted into a promoter upstream of a luciferase open reading frame.
Figure 1. Flowchart that outlines the major steps of measuring the immune responses in Drosophila. (A) The sequence of steps is outlined for measuring sleep, survival, and bacterial load during an infection; (B) The sequence of steps is outlined for measuring NFκB-dependent luciferase reporter activity during infection. Experiments can continue anywhere from 1-5 days, depending on the lethality of bacterial species used.
Figure 2. Schematic of an individual microplate well. Flies are placed in opaque, 96 well plates containing medium and covered as shown. Because flies will be individually handled to be infected, it is important to restrict the number of flies per plate to an amount that can be reasonably managed within a given period of time, depending on the experimental circumstances.
Figure 3. Behavior response of flies infected with S. marcescens. (A) Mean ± SEM percent time that flies spent sleeping and (B) Mean ± SEM total activity counts are plotted in 4 hr increments for 1 day before and after infection with S. marcescens. (C) Mean ± SEM activity counts per waking minute before (BL = baseline) and after infection with S. marcescens is plotted in 8 hr increments. Behavior is reported for wild-type CS flies that survived for at least 24 hr post infection, and for immune-deficient RelE20 flies that survived for at least 8 hr post infection. n=13 for CS and for RelE20. ** = p<0.01 and *= p <0.05, student’s t– test.
Figure 4. Survival outcome of infected and uninfected flies. (A) Representative Kaplan-Meier survival curves are plotted for both wild-type CS and immune-deficient RelE20 flies that were infected with S. marcescens. p = 8.13x 10-13, log rank test. n=31 for CS and n=32 for RelE20 flies. (B) Representative Kaplan-Meier survival curves are reported as in (A), except flies received aseptic injury by injection with liquid media without bacteria. Nearly all flies survived aseptic injury until the end of experiments (60 hr post injury). p >0.97, log rank test; n=32 for CS and RelE20 flies.
Figure 5. Quantification of bacterial load in flies infected with S. marcescens. (A) Representative bacterial culture from CS flies infected with S. marcescens that were harvested immediately after infection (Left panel), or 24 hr after infection (Right panel). Dilution factors are indicated below each figure. In this example, 10 flies were homogenized in 400 μl solution for each group. 100 μl of the final dilution was spread onto each plate. The left plate contains 29 colony forming units (cfu). To calculate cfu/fly, divide 29 cfu by [10 flies * 0.001 (dilution factor) * 100 μl (volume spread onto plate)], which equals 29, and then multiply by the initial volume of 400 μl = 11,600. For this particular plate, we have an average of 1.16 x 104 cfu/fly. The right plate contains 257 colonies. Using the same formula, we find an average of 1.03 x 106 cfu/fly. (B) After calculating cfu/fly from each plate in each experimental condition, generate box-and-whisker plots as shown. In this example, the 25th, 50th (median) and 75th percentile are presented as the bottom, middle and top of the box. Error bars represent standard deviation across three independent experiments. ** p < 0.01 student’s t-test.
Figure 6. NFκB dependent luciferase reporter activity in individual flies infected with S. marcescens. Representative examples of raw data are shown for individual uninfected flies (handled control; left panels) and infected flies (right panels). A baseline reading (time ‘0’) was collected immediately before infection or handling; all other time points were collected after flies were treated. Note the differences in scale in the y-axes between flies in the infected and handled control conditions. Large variation of the signal within each fly may be attributed to the movement of the fly inside the microwell.
Figure 7. Infection with S. marcescens or injury with aseptic injection increases κB-luc reporter activity in living flies. Mean ± SEM luciferase activity (arbitrary units) is plotted every 4 hr across all flies that were infected (A) or injured by aseptic injection (B) and survived up to 24 in the assay. One-way ANOVA with repeated measures indicated that reporter activity increased significantly in infected (p< 0.05), injured (inj; p<0.01), and their handled control (HC; p<0.01) groups relative to their baseline (time ‘0’; Tukey’s post-hoc). (Insert, panel A): Data from the HC group are plotted on a different scale. The small but significant increase in reporter activity in the HC group suggests that flies may have experienced mild stress or increased wakefulness from handling (transfer to and from the microwell plate and anesthetization equivalent to infected flies). Both the infected and injured groups showed strong inductions of κB-luc reporter activity that were significantly higher than that in the HC group at indicated time points.* = p <0 .05; ** = p <0 .01; student’s t-test; For (A) n=20 HC and n=13 Infection; for (B) n=15 HC and n=14 injury.
This protocol outlines an approach to investigate how behavior, particularly sleep, is linked to immune response parameters. These parameters include bacterial load, survival outcome, and NFκB activity as measured by a luciferase reporter in vivo. Together these parameters provide information about how well a fly can fight an infection. Bacterial load and survival outcome are immune response parameters that involve a straightforward measurement in Drosophila. RelE20 mutants, which lack an NFκB transcription factor that is central to the immune response, succumb rapidly to bacterial infection. Genetic or other manipulations of behavior may also influence these immune response parameters, possibly by affecting NFκB activity itself. For example, sleep deprivation prior to infection increases expression of Relish mRNA, and reduces cfu/fly relative to non-deprived controls11. Mutants of the clock genes, period7 and timeless8, have also been reported to reduce survival during an infection as well as bacterial clearance8. Further studies which use this approach are expected to provide mechanistic insight into how behavior may influence immune function.
The injection/infection procedure we describe here is modified from a method described previously by Wu et al16. This procedure is simple and inexpensive. However, a disadvantage is that manual control of injection volume with the use of dye as an indicator is crude and can contribute to variability. Other groups have used a microinjector to enable a constant injection volume17, or have stabbed flies with a needle dipped in bacterial culture18. Nonetheless, the method presented here has been successful in detecting changes in bacterial clearance across experimental conditions11,19.
Survival of flies during infection is typically quantified by counting the remaining flies at regularly timed intervals. Here we use the Trikinetics DAM system to monitor the time of death in individual flies, which is indicated by cessation of activity. We have verified that the survival outcome as determined by locomotor activity is the same as that determined by visual inspection of flies in the activity tubes during infection (unpublished). This method has also been used previously to measure life span20,21. However, it is important to note that evaluation of survival in the DAM system is limited to that in isolated flies, and that results derived from this condition are expected to be different from those in grouped conditions. Early studies have shown differences in survival when the host is placed in groups versus isolated conditions22. Recent work has also confirmed that life span in groups of flies is longer than that in isolated flies20.
Luciferase reporter activity has been used previously for analysis of clock gene expression in living flies (for example, ref 23). In these cases, other technical considerations are necessary, particularly the depletion of the luciferin substrate which occurs over several days of running the assay. In contrast, the assay described here is limited to the survival of infected flies and involved a straightforward measurement over 24 hr after infection. A repeated measures ANOVA was sufficient to evaluate changes from baseline within each group. Statistical approaches to analyzing a circadian oscillation of luciferase reporters, along with normalization steps to correct for substrate depletion are fully discussed elsewhere24. In either case, measuring real-time reporter activity in individual flies is a more efficient method for extracting information about its temporal dynamics than standard biochemical and immunohistochemical assays.
However, a potential disadvantage to monitoring luciferase reporter activity in vivo is that it is dependent on flies eating the luciferin substrate. Anorexia has been associated with infection in flies, and feeding may also vary with the type of infection or among genotypes25. To circumvent concern about ingestion of the substrate, flies can be dissected into separate body parts or tissues following infection, and reporter activity can be measured in culture as described previously26. Alternatively, results from the luciferase assay can also be verified using a standard assay that does not rely on feeding. For example, quantitative PCR has been a commonly used approach to measure expression levels of antimicrobial peptide (AMP) mRNA. AMPs are known targets of NFκB, and therefore indicate its level of activity.
The representative data described here recapitulate previous work showing that NFκB rises with immune challenge and a subsequent increase in sleep2. However, readers are cautioned that sleep in the Trikinetics DAM system is indicated by inactivity for a minimum of five consecutive minutes27. Measurement of sleep in the fly by videography also relies on inactivity28. This sleep definition in flies may potentially be problematic during an infection, because it is also known that immune challenged animals will become inactive for long periods without sleeping29. To overcome this issue, assays that measure sensory responsiveness are necessary to verify that flies are indeed asleep. Investigators have determined responsiveness of flies to sensory stimuli, such as a pencil tap30, brushing the activity tubes with a wooden stick31, or heating one end of a tube27. In all cases, sleeping flies are less responsive (measured either by response latency or by percent flies responding as a group) than awake flies. We have found that infected flies that are sleeping are indeed less responsive to sensory stimuli up to 6-8 hr post-infection (T-H. Kuo and J.A. Williams, unpublished observation). Despite the technical limitations, the Trikinetics DAM system provides a high throughput advantage that will be useful for future studies in flies that explore a genetic and molecular link between sleep and immune function.
The authors have nothing to disclose.
This work was supported by the National Science Foundation under grant #IOS-1025627 and by the National Institutes of Health under grant #1R21NS078582-01 to J.A.W.
Material Name | Company | Catalogue number | Comments |
Equipment | |||
Incubators | Percival Scientific, Inc. | I30BLLC8 I36VLC8 |
Any incubator capable of running programmed light/temperature schedules is appropriate. |
Drosophila Activitiy Monitors | Trikinetics Inc., Waltham, MA | DAM2 | As described elsewhere6, this system requires a computer interface, software, and other accessories. |
Pyrex Glass Tubes | Trikinetics Inc., Waltham, MA | PGT-5×65 | |
Microplate scintillation and luminescence counter | Perkin Elmer | TopCount NXT 12 detector |
Any microplate reader capable of detecting luminescence can be used for this type of reporter assay. TopCount contains multiple detectors and an automated stacker; it is capable of being programmed to read continuously from multiple plates. |
FluorChem 8900 | Alpha Innotech | Imaging of bacterial cultures is optional; any digital imaging system with visual light capability is sufficient. | |
Micropipette Puller | Tritech Research, Inc. | Narishige PC-10 | |
Supplies | |||
Borosilicate Glass Capillaries | World Precision Instrument Inc. | 1B100F-4 | |
3 ml Syringe | Fisher Scientific | BD 305482 | |
Syringe Needles | Fisher Scientific | BD 305196 | 18 G – cut off the tip of the needle to prevent damage to the tubing. |
Silicone Tubing, i.d. (0.030″) o.d. (0.065″) Wall Thickness (0.018″) | VWR | 60985-706 | Used for attaching glass capillary needles to a syringe |
3 Way Stopcock | American Pharmaseal Company | K75 | |
Kontes Pellet Pestle Cordless Motor | Fisher Scientific | K749540-0000 | |
Kontes Pellet Pestle | Fisher Scientific | K749521-1590 | |
Glass balls 3mm | VWR | 26396-630 | |
Microplate Microlite 1+ | Thermo Scientific | 7571 | Select 96-well plates that are appropriate for luminescence – they must be opaque. |
TopSeal-A:96-well Microplates | PerkinElmer | 6005185 | Microplate Press-On Adhesive Sealing Film |
D-Luciferin, Potassium Salt | Gold BioTechnology, Inc. | LUCNA | |
Software | |||
Insomniac2 | Available upon request to the authors | custom; written by Lesley Ashmore, Ph.D. (Westminster College) | Matlab based software that has been used routinely for analysis of sleep2,6,11 |
Drosonex | Available upon request to the authors | custom; written by Thomas Coradetti (Sidewalk Software) | A PC MSVC6 program used for survival analysis from raw data files collected with the Trikinetics system |
Photoshop CS3 | Adobe | Useful for obtaining numbers of cfu/plate from digital images (optional) |