Our laboratory developed a novel high-throughput automated imaging system that is useful for the detection of several different behaviors in 7-day-old zebrafish larvae. The system can be used for detecting subtle changes in behavior after the larvae have been exposed to environmental toxicants or pharmaceuticals.
We have created a novel high-throughput imaging system for the analysis of behavior in 7-day-old zebrafish larvae in multi-lane plates. This system measures spontaneous behaviors and the response to an aversive stimulus, which is shown to the larvae via a PowerPoint presentation. The recorded images are analyzed with an ImageJ macro, which automatically splits the color channels, subtracts the background, and applies a threshold to identify individual larvae placement in the lanes. We can then import the coordinates into an Excel sheet to quantify swim speed, preference for edge or side of the lane, resting behavior, thigmotaxis, distance between larvae, and avoidance behavior. Subtle changes in behavior are easily detected using our system, making it useful for behavioral analyses after exposure to environmental toxicants or pharmaceuticals.
Zebrafish are becoming a popular model for genetic, developmental and behavioral sciences 1-4. They hatch from their chorions by 2-3 days post fertilization (dpf), develop fully functioning organs by 4-5 dpf, and exhibit a large number of behaviors by 7 dpf 5,6. Zebrafish larvae are ideally suited for high-throughput analyses because of their small size 7,8. Software is commercially available for automated analyses of behavior in larval and adult zebrafish 9-14. However, this software can be expensive and has limited options for measuring complex behaviors of zebrafish larvae in multi-well plates.
We created a novel high-throughput imaging system that is inexpensive to set up and can quantify a number of different behaviors in 7 dpf zebrafish larvae 15,16. The system allows us to quickly and efficiently test subtle behavioral abnormalities after embryonic exposure to a number of pharmaceuticals and environmental toxicants 16-18.
The system was built using wooden cabinets, which house a digital camera at the top of the cabinet. The camera faces downward to the bottom of the cabinet where a laptop is placed with the screen facing up 15. Time lapse imaging is used to capture the placement of the larvae in the lanes. Larvae can be housed in up to four multi-well or multi-lane plates which are positioned on top of the laptop screen. We use a PowerPoint presentation as an aversive stimulus to which the larvae respond by moving away (avoidance) and swimming towards the edge (thigmotaxis) 15,17. The images are imported into ImageJ in which an automated macro is used to split the color channels, subtract the background, and apply a threshold to identify individual larvae. Coordinates are listed for each larva in each image and can be inserted into an Excel file which we use to quantify avoidance and thigmotaxis behavior, fish to fish distance, swim speed, and amount of rest 16.
1. Collection of Zebrafish Embryos and Raising Larvae
2. Preparing Molds for Behavioral Analyses
3. Image Capture
4. Image Analysis
In our earlier assays, using the bouncing ball aversive stimulus, wild type larvae that are untreated respond to the moving ball by swimming down in the well (avoidance behavior) and towards the edges of the well (thigmotaxis behavior) 15. We later confirmed that thigmotaxis behavior in this assay is a measure of anxiety-related behavior in zebrafish larvae 17. There were significant differences in the larvae movement away from the ball and preference for the edge when compared to the blank white background. These behaviors have also been confirmed in our new assay using the moving red bar and are even more robust 16. Moreover, we can now sample a larger number of behaviors in a single assay including swim speed, rest, preference for the end or side of the well, and distance between fish (Figure 5). Control larvae grown in egg water show an increased preference to be down in the dish and on the edge of the lane after they are presented with an aversive stimulus (moving red bar). Similar results are obtained when larvae are grown in egg water containing 1 μg/ml DMSO, a solvent that is commonly used to dissolve various pharmaceuticals and toxicants as 1,000X stock solutions.
Representative results are shown in Figure 5 in larvae treated with egg water and DMSO (as controls) and varying concentrations of an organophosphate pesticide commonly found in non-organic foods. The results shown are a sampling from one experiment. However, when repeated, the results indicate that swim speed and thigmotaxis behavior is altered by low concentrations of organophosphate pesticides, which mimic levels in human food consumption 18.
Figure 1. Collection Trays. Glass Pyrex dishes are used to collect embryos from the adult fish tanks. Lids from the Pyrex dishes were cut and inserted with plastic grids and green yarn was sewn onto the grids in the plastic. This creates a breeding atmosphere for the adult zebrafish by mimicking the natural environment.
Figure 2. Plastic mold and agarose lanes. A) The mold is shown on the left. 0.8% agarose is poured into a one-well plate; the mold is slowly inserted and then removed when the agarose has cooled. B) The plate on the right shows the lanes created in agarose by the plastic mold.
Figure 3. Imaging Cabinets. Imaging cabinets were specially built in our laboratory and used for high-throughput behavioral analyses. A 15 megapixel digital camera was attached to the top of the cabinet facing downwards in order to gather time lapse images of the larvae in multilane plates placed on top of the screen of a laptop. Between the plates and the screen there is a plastic diffuser that is used to prevent moiré patterns in the images collected.
Figure 4. Blank background and PowerPoint aversive stimulus. This is the current PowerPoint that is used to evoke behavioral changes in zebrafish larvae. It provides robust behavioral differences between A) the blank background and B) the moving red bar.
Figure 5. Behaviors Quantified in the high-throughput assay. Example of the behaviors that are quantified from our behavioral assay within the Excel sheet that we use for x,y coordinates of the larvae. The white bars show data from larvae exposed to a blank background and the red bars show data from the larvae exposed to the red moving bar in the PowerPoint. The graphs indicate the measurements that can be obtained from behavioral analysis A) Percentage of larvae down in the lane, B) Percentage of larvae on the end of the lane, C) Percentage of larvae on the edge of the lane, D) Distance between fish (mm), E) Swim speed of the larvae (mm/min), F) Percentage rest of the larvae. In the graphs shown, data is from treatment of larvae with DMSO control and several concentrations of a pesticide ranging from 0.001 to 0.1 μM (levels commonly found in the human diet). Click here to view larger figure.
While we are continually improving our novel behavioral assay, it has always been useful for the detection of avoidance and thigmotaxis behavior in zebrafish larvae 15. Many trials have been performed to optimize the results of the assay, such as color of stimulus used, ideal number of larvae per lane, and length of behavioral assay. Previously, we used multi-well plates (with 6 or 12 wells) 15,17,18. However, recently we have created the novel lane mold to create a larger swimming space for the larvae allowing us to gather a larger number of behavioral measures in a single assay 16 (Figure 5). Other modifications include variations of the PowerPoint shown (altered movement or length of assay) and the size of the lanes used (we also have molds for more narrow lanes).
Currently, this high-throughput automated system is unique in its ability to measure a large range of behaviors in zebrafish larvae at the same time such as speed, avoidance, proximity to other larvae, and thigmotaxis in multi-lane plates. Results can be obtained quickly and a large number of larvae can be analyzed at the time of imaging. The system is both inexpensive to build and quick and easy to set up. A limitation of this system is that 3-D movements cannot be assessed in the zebrafish larvae. Automated systems that track adult zebrafish have the 3-D capability and can identify a wider range of behaviors such as movement up or down within the water column 10,19. Another limitation is that our imaging system is currently not optimized for high-throughput analyses at video speed. Video speed imaging is possible when setting the camera to a lower resolution 15, but this restricts the analysis to a single plate.
In using the newly created “lane” method, several parts of the assay needed to be executed in a precise manner. When placing the larvae in the lanes, it is critical to make sure the level of liquid is very shallow until the plates are positioned on top of the laptop screen. If the lanes are too full of liquid, the larvae will escape into the periphery of the plate. In addition, when inserting the mold into the agarose, care must be taken to lower the mold very slowly. If the mold is inserted too quickly, bubbles will form in the agarose and will be identified by the Image J macro as additional larvae. It is advised that if the agarose lanes have even a few bubbles, it is best to make new ones.
In the future, we would like to optimize our behavioral assay to analyze other complex behaviors such as learning in zebrafish larvae and examine how learning may be affected by exposure to toxicants and pharmaceuticals in early development. We are currently working on assays that may be useful for analyzing learning behavior in which the behavioral results may facilitate determining which brain areas are affected by certain toxicants or pharmaceuticals during development. Automated assays have been developed for measuring learning behaviors in zebrafish larvae 20 and these assays may be amendable for high-throughput screening by using the robust avoidance response in multi-lane plates.
We propose that this behavioral assay could be used in future studies for testing the developmental effects of a large number of pharmaceuticals and toxicants. Such studies would provide a wealth of information on specific risk factors and contribute to setting better health and safety guidelines for pregnant women and children.
The authors have nothing to disclose.
We thank Sean Pelkowski for assistance in optimization of the behavioral assay. This work was supported by the National Institute of Child Health and Human Development, R01 HD060647 and the National Institute of Environmental Health Sciences, F32 ES021342 and R03 ES017755.
Reagent | |||
Instant Ocean | That Pet Place | 198262 | |
Agarose | Fisher | BP1356-100 | |
Methylene Blue | That Pet Place | 214325 | |
Equipment | |||
One well plates | Fisher | 12-565-493 | |
Digital camera | Canon | EOS Rebel T1i | |
Imaging Cabinets | WoodCraft Towers | ||
Laptops | Acer Aspire | Any is good as long as it has a 15.6 in. LCD screen with 1366 x 768 pixel resolution and a brightness of 220 cd/m2. | |
Camera Lens | Canon | EF-S 55 – 250 mm f/4.0 – 5.6 IS zoom lens | |
Plastic diffuser | Pendaflex | 52345 | |
Software | |||
PowerPoint 2010 | Microsoft | ||
ImageJ | NIH | http://rsb.info.nih.gov/ij/ | |
Excel 2010 | Microsoft | ||
Statistical software | SPSS 20 |