$$\rightleftharpoonup{xx}$$
$$\longleftharp{xx}$$,
$$\longrightharp{xx}$$,
The ability to adapt and respond to the external environment is critical for the survival of all animals. An animal needs to avoid dangers, seek out food and find mates, and learn from previous experiences. Sensory systems function to receive a variety of stimuli, such as visual, chemical and mechanosensory, and send these signals to the central nervous system to be interpreted and decoded. The brain then directs appropriate motor behaviors based on the perceived environment, such as foraging for food or escaping from a predator. Understanding how sensory systems detect the external world, and how the brain decodes and directs decisions, is a major challenge in neurobiology.
Drosophila melanogaster is a powerful model system for investigating how neural circuits guide behaviors. Besides being simple and inexpensive to maintain, Drosophila exhibit many diverse and complex stereotyped behaviors, yet do so with a compact nervous system of about 100,000 neurons. Powerful genetic techniques exist for manipulating the Drosophila genome, and thousands of transgenic lines have been generated that selectively and reproducibly label the same subsets of neurons10-13. These transgenic lines can be used to selectively manipulate the activity of the labeled neurons (activate or inhibit), and these manipulations can be used to investigate how neural functions guide behaviors.
Multiple behavioral assays have been developed for studying various Drosophila behaviors. Drosophila, like many animals, use their sense of smell for guiding many behavioral choices, such as finding food, finding mates, and avoiding dangers. Olfaction is therefore a good sensory system for investigating how external stimuli are detected and interpreted by an animal's nervous system to guide appropriate choices. As such, a number of assays have been developed for investigating larval and adult olfactory behaviors. Traditionally, olfactory behaviors in Drosophila were assayed by a two-choice T-maze paradigm, which can be used for assaying innate and learned olfactory behaviors3. In this assay, about 50 flies are given a choice between two tubes: one tube contains the odor in question and the other contains a control odorant (usually the odor solvent). The flies are given a set period of time to make a choice, and then the number of flies that are in the different chambers are counted. Although the T-maze is a simple assay for many experiments, there are several limitations. For example, olfactory behaviors are measured at only one time point, and different choices made before this time point are discarded. Similarly, the individual behaviors of the flies within the population are neglected. In addition, the T-maze requires manual counting of flies, which might introduce errors. Finally, since there are only two measured choices, this reduces the statistical power often required to detect subtle behavioral changes. An alternative to a two-choice T-maze is a four-quadrant (four-field) olfactometer14-18. In this assay, animals explore an arena in which each of the four corners of the arena is filled with a potential source of odorized air. The arena has a puckered star shape to maximize the formation of four experimentally defined odor quadrants. If odor is supplied in one of the corners then it is contained only in that one quadrant. The behaviors of the animals can be tracked as they enter and leave the odor quadrant, and easily compared to their behavior in the three control quadrants. The four-quadrant olfactometer assay thus records spatial and temporal behavioral response to the odor stimuli over a large experimental arena.
The four-quadrant olfactometer was first developed by Pettersson et al.15 and Vet et al.17 to investigate the olfactory behavioral responses of individual parasitic Hymenoptera. Faucher et al.18 and Semmelhack and Wang16 adapted the setup to monitor the olfactory responses of individual Drosophila. The four-quadrant olfactometer is equally sensitive to attractive and repulsive responses, allowing for a wide range of test odorants and conditions. Custom-written fly tracking software, developed by Alex Katsov19 and currently maintained by Julian Brown (detailed in Materials), introduced additional advantages to more recent implementations of the four-quadrant olfactometer14,20-23. It is now possible to assay up to 100 flies simultaneously at high spatial (27.5 pixels/cm) and temporal (30 frames per sec) resolution, which allows extracting various parameters, such as position, speed and acceleration of flies at any time point. This enables investigations into the dynamics of the flies' behavioral responses to odors20. It should be noted, however, that the identity of individual flies within the population during the entire tracking period is not maintained. Instead, each fly track is recorded for as long as two fly tracks do not intersect. At which point, new tracks are assigned after the flies diverge. By incorporating other video-capturing software (detailed in Materials Table), the same configuration allows flexible tracking periods and could be used to track flies for up to 24 hr by taking images at a lower frame rate. This option was used to study egg-laying behaviors of flies and compare their body positions with ovipositional preferences14. The four-field olfactometer may also be used to study responses to multimodal (e.g. olfactory and visual) stimuli, or to combine optogenetic9 or thermogenetic21 stimulation with presentations of sensory stimuli. Furthermore, the high temporal resolution allows the extraction of trajectories for each individual fly in the ensemble data set. Therefore, the method allows investigation into olfactory-guided population behaviors and also individual social interactions. The data generated by this assay are robust and highly reproducible, allowing for the use of the four-field olfactometer for behavioral screens.
We describe here the setup assembly for a four-quadrant olfactometer. We further demonstrate its use in assaying olfactory attraction in response to apple cider vinegar and repulsion in response to highly concentrated ethyl propionate. Finally, we describe and provide example code for the analysis of the recorded fly tracking data.