Abstract
Orientation, the spatial organization of animal behavior, is an essential faculty of animals. Bacteria and lower animals such as insects exhibit taxis, innate orientation behavior, directly toward or away from a directional cue. Organisms can also orient themselves at a specific angle relative to the cues. In this study, using Drosophila as a model system, we established a visual orientation conditioning paradigm based on a flight simulator in which a stationary flying fly could control the rotation of a visual object. By coupling aversive heat shocks to a fly's orientation toward one side of the visual object, we found that the fly could be conditioned to orientate toward the left or right side of the frontal visual object and retain this conditioned visual orientation. The lower and upper visual fields have different roles in conditioned visual orientation. Transfer experiments showed that conditioned visual orientation could generalize between visual targets of different sizes, compactness, or vertical positions, but not of contour orientation. Rut—Type I adenylyl cyclase and Dnc—phosphodiesterase were dispensable for visual orientation conditioning. Normal activity and scb signaling in R3/R4d neurons of the ellipsoid body were required for visual orientation conditioning. Our studies established a visual orientation conditioning paradigm and examined the behavioral properties and neural circuitry of visual orientation, an important component of the insect's spatial navigation.
Orientation, the spatial alignment of organism to external stimuli, is a basic behavior in all organisms. Insects spontaneously and stereotypically orientate toward directional stimuli, such as phototaxis with light, geotaxis with gravity, and chemotaxis with chemical gradient. Other than such basic taxes, when organisms move directly toward or away from the stimuli, there is orientation involving the ability to derive and maintain a directional heading or bearing relative to, but not necessarily directly toward or away from an external cue (Jander 1963). Such innate orientation behaviors provide a simple solution that helps the organisms respond appropriately toward ethologically relevant stimuli that may be essential for its survival. They are also considered to constitute elementary components of complex behavior such as spatial navigation (Menzel et al. 1993; Smith 1993). Though theories about the mechanism of taxis have been proposed (Mittelstaedt 1962; Jander 1963), the neural aspects are only just beginning to be understood.
The fruit fly has emerged as a model to study this question because it is amenable to precise manipulation of the neural system by genetic methods (Simpson 2009; Venken et al. 2011). Recent work has elucidated the neural mechanisms underlying basic taxes such as phototaxis (Gong et al. 2010), negative geotaxis (Kamikouchi et al. 2009; Yorozu et al. 2009), and chemotaxis (Semmelhack and Wang 2009), as well as fixation, a taxis behavior toward a visual target (Bahl et al. 2013). Neural mechanism of visual orientation, however, is less studied owing to lack of an appropriate behavior paradigm.
Flight simulators, in which only the yaw torque produced by stationary flying Drosophila is operative and which allows the fly to control its orientation relative to surrounding visual targets (Heisenberg and Wolf 1984; Heisenberg et al. 2001), was used to study the fly's orientation behavior toward visual targets. Previous studies differentially conditioned flies’ orientation toward two different patterns of varied features and have shown that flies can discriminate and remember visual features, such as size, compactness, elevation, contour orientation, color, and certain compound patterns, and showed pattern recognition invariance under retinal position change (Ernst and Heisenberg 1999; Tang et al. 2004; Liu et al. 2006). In the flight simulator, stationary flying flies show strong fixation behavior when presented with two vertical bars at opposite positions on a cylindrical screen (Heisenberg and Wolf 1984; Xi et al. 2008); that is, they tend to head toward the visual targets. Meanwhile, a fly can occasionally maintain an arbitrary angular position (other than fixation) relative to a visual object (e.g., a vertical stripe), revealing Drosophila’s potential for visual orientation (Heisenberg and Wolf 1984). To explicitly study visual orientation in Drosophila, we designed a paradigm of conditioned visual orientation in Drosophila using a flight simulator.
We present a fly with two black bars at opposite positions (180° apart), as visual landmarks on a cylindrical visual field, and condition it to stay to one side of the landmark. Our study establishes a paradigm to study visual orientation in Drosophila, providing an opportunity to study the neural and molecular mechanism underlying visual orientation, an important component of visual spatial navigation.
Results
Establishing a visual orientation conditioning paradigm in a flight simulator
When presented with two vertical bars at opposite positions at the boundaries of the four virtual quadrants in the arena (see Materials and Methods), the fly will innately fixate toward the bars (visual object fixation) (Heisenberg and Wolf 1984; Xi et al. 2008) and show no significant preference for either the right side or the left side of the bars. This was indicated by a lack of discrepancy in the time spent heading toward one side before conditioning (one-sample t-tests: for 8° bar width, t(20) = 0.9809, P = 0.3384; for 12°, t(20) = 1.601, P = 0.125; for 24°, t(20) = 0.3525, P = 0.7281; for 45°, t(20) = 0.6314, P = 0.5349; for 90°, t(20) = 2.048, P = 0.0539) (Supplemental Fig. S1). We introduced a negative reinforcer into the system by turning on a heat source directed at the fly's body whenever the fly headed toward one side of the visual targets. Consequently, the fly was conditioned to avoid heading toward one side and spent more time heading toward the other side of the visual target, forming a visual orientation. Indeed, wild-type flies could be trained to spend more time heading toward the unpunished side of bars of various widths with a standard training protocol (Fig. 1B; Supplemental Figs. S1–S3). We found flies could retain the conditioned visual flight orientation after training using vertical bars of width 12°, 24°, 45°, and 90° but not with a bar of 8° visual angle (all one-sample t-tests: for 8°, t(20) = 1.116, P = 0.2777; for 12°, t(20) = 2.810, P = 0.0108; for 24°, t(20) = 3.541, P = 0.002; for 45°, t(20) = 3.693, P = 0.0014; for 90°, t(20) = 4.845, P = <0.0001) (Fig. 1B; Supplemental Figs. S1–S3). The larger the width of the bar, the better the memory score, which indicates that the visual orientation conditioning is dependent on the saliency of landmark. For later experiments we used bars of 24° width as landmarks, unless specified otherwise.
To rule out the possibility of the existence of nonvisual cues for positional information, we tested a uniform checkerboard pattern, which provided an optic flow that the flies could use to stabilize the panorama and avoid the heat punishment, but visually provided no positional information (Supplemental Fig. S4A,B). During tests, a fly was no longer able to stay in the “safe” quadrant (one-sample t-test, t(17) = 0.563, P = 0.5808) (Fig. 2), indicating that the orientation was indeed visually mediated.
For the convenience of the setup, we used two bars 180° apart on the cylinder drum as landmarks. However, we found flies mediated their orientation primarily by the frontal visual targets. When we tested flies using a single bar we found that the flies spent almost all their time heading toward the bar quadrant rather than the vacant quadrants (Supplemental Fig. S5A), and a single bar was sufficient for conditioned visual orientation (one-sample t-test, t(18) = 2.954, P = 0.0085) (Fig. 2; Supplemental Fig. S5B). The resultant performance index was no better than that in the two-bar situation, indicating the second bar did not serve as a confounding factor. However, if we masked the frontal visual field of the fly during two-bar conditioning so the fly could only use the bar on its rear for guidance, the fly could not retain its conditioned visual orientation (one-sample t-test, t(19) = 0.6678, P = 0.5123) (Fig. 2). Therefore we consider that the flies used the frontal bar as a landmark.
During the above experiments, we used vertical through bars on the drum, we wondered if the upper and lower visual fields contributed equally to the horizontal visual orientation memory. Thus, we tested different parts of the flies’ visual fields for conditioned visual orientation by dividing the bars equally into their upper, center, and lower third parts, and found that the lower and the center but not the upper third induced conditioned visual orientation (one-sample t-test: lower part, t(21) = 2.973, P = 0.0073; center part, t(21) = 2.896, P = 0.0087; upper part, t(20) = 0.037, P = 0.9702) (Supplemental Fig. S6), implying that the upper visual field played less of a role in the visual orientation conditioning.
Conditioned visual orientation tolerates changes of the visual targets
Visual orientation conditioning is dependent on the visual landmark, but to what extent? We thus carried out a series of transfer experiments using pattern pairs that can be discriminated and remembered by flies (Ernst and Heisenberg 1999; Tang et al. 2004; Pan et al. 2009). With the standard conditioning protocol, we trained the flies with one of the pair until the last test sessions, where we changed it to the other of the pair of the same pattern for conditioned visual orientation test (Fig. 3A). To our surprise, flies still showed the same orientation response to the changed pattern, indicating that conditioned visual orientation can tolerate changes of landmarks in size (one-sample t-test: small to large, t(12) = 4.076, P = 0.0015; large to small, t(15) = 5.635, P < 0.0001) (Fig. 3B), vertical compactness (one-sample t-test: narrow to wide, t(17) = 4.294, P = 0.0005; wide to narrow, t(17) = 3.304, P = 0.0042) (Fig. 3C), elevation (one-sample t-test: lower to upper, t(21) = 3.094, P = 0.0055; upper to lower, t(21) = 4.747, P = 0.0001 (Fig. 3D) (upside-down T to upright T, t(19) = 3.408, P = 0.003; upright T to upside-down T, t(18) = 2.122, P = 0.048) (Fig. 3E). However, changing the pattern's contour orientation gave no conditioned visual orientation (one-sample t-test: 135° to 45°, t(18) = 0.846, P = 0.4085; 45° to 135°, t(19) = 0.556, P = 0.5842) (Fig. 3F), whereas conditioned visual orientation was retained if the pattern was not actually changed (one-sample t-test: 45°, t(18) = 5.676, P < 0.0001; 135°, t(17) = 4.467, P = 0.0003) (Fig. 3G,H). These indicated that tolerance of conditioned visual orientation for landmark identity is limited.
A subset of ellipsoid body neurons is required for visual orientation conditioning
To find the neuronal substrates involved in the visual orientation conditioning in flies, we screened possible neuron types by inducing expression of the inward rectifying potassium channel Kir2.1 in adult flies by heat shock (HS) to silence neuronal activity (Baines et al. 2001; Ofstad et al. 2011). We found that silencing the R3/R4d neurons labeled by c232-Gal4 in the ellipsoid body resulted in a visual orientation conditioning defect in flies (one-sample t-tests: t(23) = 1.273, P = 0.2156 and t(23) = 5.341, P = <0.0001, for flies with and without induction of Kir2.1 expression with c232-Gal4, respectively, (t(23) = 4.760, P < 0.0001 for tub-Gal80ts; Kir2.1 heat shock control) and significantly decreased conditioned visual orientation (one-way analysis of variance [ANOVA]: F(2,69) = 0.4510, P = 0.0199 with the post hoc Tukey's Multiple Comparison Test: q(tub-Gal80ts; Kir2.1/+ with HS versus tub-Gal80ts; Kir2.1/c232 without HS) = 0.1168, P > 0.5; q(tub-Gal80ts; Kir2.1/+ with HS versus tub-Gal80ts; Kir2.1/c232 with HS) = 3.469, P < 0.5; q(tub-Gal80ts; Kir2.1/c232 without HS versus tub-Gal80ts; Kir2.1/c232 with HS) = 3.586, P < 0.5). Conversely, silencing R2/4m neurons labeled by c819-Gal4 (t(21) = 4.015, P = 0.0006 with HS and t(23) = 3.704, P = 0.0013 without HS) in the ellipsoid body, or large-field F5 neurons labeled by c205-Gal4 (t(23) = 1.873, P = 0.0024 with HS and t(23) = 2.492, P = 0.0021 without HS), or large-field F1 neurons labeled by NP6510-Gal4 (t(24) = 2.186, P = 0.0206 with heat shock and t(20) = 4.802, P = <0.0001 without HS), or pontine neurons labeled by NP2320-Gal4 (t(23) = 2.849, P = 0.0091 with HS and t(23) = 4.683, P = 0.0001 without HS) in fan-shaped body or mushroom bodies neurons labeled by 17d-Gal4 (t(21) = 3.290, P = 0.0003 with HS and t(21) = 5.195, P = <0.0001 without HS) did not reduce the performance index to zero (Fig. 4A).
Visual orientation conditioning involves fixation and heat avoidance. Therefore, we tested the flies defective in visual orientation conditioning in fixation and heat avoidance assays. We found that inducing the expression of Kir2.1 in R3/R4d neurons did not affect fixation (one-way ANOVA: F(2,55) = 0.4510, P = 0.6393, n = 18–20) (Fig. 4B). To evaluate flies’ heat avoidance ability, we designed a situation in which the flies were conditioned to head toward two of the four identical bars but not the other two, and found no difference in the PI of flies with and without heat shock treatment (one-way ANOVA: F(2,47) = 0.9241, P = 0.4040, n = 16–17) (Fig. 4C), indicating that the treatment did not affect flies’ heat avoidance in a flight simulator. All results indicated that R3/R4d neurons in the ellipsoid body are required for visual orientation conditioning.
cAMP signaling pathway might be dispensable for conditioned visual orientation in Drosophila
To study the molecular mechanism underlying visual orientation conditioning, we used flies with mutant genes previously reported to be implicated in olfactory memory or visual pattern memory.
We first tested the rutabaga (rut) gene, which is required for both olfactory and visual pattern memory (Levin et al. 1992; Liu et al. 2006; Pan et al. 2009). To our surprise, the rut2080 performed normally in this paradigm (one-sample t-test, t(20) = 4.155, P = 0.0006) (Fig. 5). Because the rut2080 still retains ∼30% of the rut mRNA level (Pan et al. 2009), there exist two possible explanations: rut is not required for this memory, or the task is less dependent on the rut level. Therefore, we knocked down rut pan-neuronally using RNAi, which reduced the mRNA level in the head to a nearly null level (Pan et al. 2009), but failed to observe a defect (one-sample t-test, t(18) t = 3.793, P = 0.0013; t(20) = 4.502, P = 0.0002 and t(19) = 3.683, P = 0.0014 for the elav-Gal4 and rut-RNAi controls, respectively) (Fig. 5). We also tested the dnc1 mutant (Nighorn et al. 1991; Levine et al. 1994), which is a hypomorphic mutant with affected olfactory and visual pattern memory (Dauwalder and Davis 1995; Gong et al. 1998), and found that it also performed normally in the visual orientation conditioning (Fig. 5, one-sample t-test, t(20) = 2.850, P = 0.0099) (Fig. 5). Thus, conditioned visual orientation might be mediated by a molecular pathway other than the cAMP pathway.
scb is required for conditioned visual orientation in Drosophila
We found that scbNP1373 flies, a P element insertion line of scb that encodes Integrin (Grotewiel et al. 1998), are defective in conditioned visual orientation (one-sample t-test, t(24) = 0.448, P = 0.6577) (Fig. 6A). Pan-neuronal knockdown of scb by elav-Gal4 driven scb-RNAi also resulted in visual orientation conditioning defects (one-sample t-test: t(23) = 0.7920, P = 0.4364; for RNAi control, t(21) = 4.051, P = 0.0006) (Fig. 6A). Interestingly, we found that RNAi knockdown of scb in the R3/R4d neurons labeled by c232-Gal4 also led to a conditioning defect (one-sample t-test: for c232/scb-RNAi: t(22) = 1.557, P = 0.1337; for c232 control, t(22) = 5.727, P < 0.0001) and significantly reduced conditioned visual orientation (one-way ANOVA: F(2,67) = 4.970, P = 0.0098; post hoc Tukey's Multiple Comparison Test: q(+/scb-RNAi versus c232/scb-RNAi) = 4.070, P < 0.5; q(+/scb-RNAi versus c232/+) = 0.5155, P > 0.5; q(c232/scb-RNAi versus c232/+) = 3.595, P < 0.5). R2/R4d neurons labeled by c819-Gal4 (one-sample t-test: t(21) = 6.271, P < 0.0001) or α and β Kenyon cells in the mushroom bodies labeled by 17d-Gal4 (one-sample t-test: t(23) = 4.388, P = 0.0002) did not affect the conditioned visual orientation (Fig. 6A).
We also tested the fixation and heat avoidance in these stocks. We found there was no difference in fixation among the scb mutant, RNAi knockdown, and control flies (one-way ANOVA: F(5,105) = 0.5276, P = 0.7549) (Fig. 6B), and no difference in heat avoidance behavior (one-way ANOVA: F(5,93) = 0.1549, P = 0.9781) (Fig. 6C).
Thus, visual orientation conditioning may be mediated by scb signaling, at least partially in R3/R4d neurons.
Discussion
In this study, we established a paradigm using a flight simulator to study visual orientation conditioning in Drosophila. We found that flies could be conditioned to orientate to the side of a visual target, exhibiting conditioned visual orientation. This conditioned visual orientation tolerates some changes of visual landmarks, and is mainly mediated by the lower and central part of the visual field. We found that Rut type1 adenylyl cyclase and Dnc phosphodiesterase are dispensable for such visual orientation conditioning. Proper neuronal activity and scb signaling, at least in R3/R4d neurons, in the ellipsoid body is required for conditioned visual orientation.
Conditioned visual orientation of Drosophila in a flight simulator
Regarding the azimuth direction of an organism's movement relative to a stimulus, there are three possible directions: going toward the stimuli, going away from the stimuli, or going across sideways (Jander 1963; Heisenberg and Wolf 1984). Because an organism does not approach the stimuli in visual orientation, it should be mainly a landmark-based orientation mechanism. In the experimental setting, some flies spontaneously maintain a sideways orientation but it is not observed consistently. Thus, conditioned orientation may be a viable approach to study such orientation. In this study, we used the flight simulator, in which only the visual pattern's azimuth is changeable by the fly's yawing. Flies were conditioned to orientate toward the left or right side of the landmarks of various patterns. Indeed, it is a basic decision that a fly has to make while facing obstacles or landmarks. We found that visual orientation can be conditioned in flies using various visual patterns.
Visual orientation can be derived from basotaxis, i.e., fixation, by being added to a spontaneous turning tendency, which shifts the controlled direction a greater or lesser amount away from the basic direction (Jander 1963). In the visual orientation conditioning flies show fixation toward visual targets and mostly maintain a small but sufficient deviation from the vertical bar (Supplemental Fig. S3) rather than orientate at the center of the unpunished quadrants as in the case with an evenly distributed visual landmark (Dill et al. 1995). It is probable that the flies derive the visual orientation from fixation and the deviation varies from fly to fly but generally in an economical way. In the closed loop condition of the flight simulator, flies stabilize and steer the panorama by microoscillation, an active behavior in which turning tendency may be embodied, and the conditioning may inhibit the turning tendency toward the punished side. However, such turning tendency is different from the pure motor turning tendency in the open loop conditioning (Wolf and Heisenberg 1991; Wolf et al. 1998) in that it is visually mediated. This was monitored using the checkerboard conditioning that showed that flies did not use cues other than visual singularity in the cylindrical panorama to achieve the conditioned orientation.
Tolerance of target variation in conditioned visual orientation
Using transfer experiments, we trained the flies with one of the patterns of a pair that the fly could discriminate and remember as a landmark and then tested them with the other with the same alignment to test if the flies’ conditioned visual orientation can tolerate the change of the landmark. We found that the flies’ conditioned visual orientation persists despite the change to the pattern such as size and compactness. The retained visual orientation response toward the altered visual target indicates that the conditioned visual orientation is independent of specific parameter of the visual target and generalizable to changed object. This could possibly reflect the robustness of orientation in flies, modeling the ethological scenarios when flies are tracking a visual object, e.g., another fly, the size of which would vary as its distance changes; however, their relative angle is constant and the fly still tracks its target. This indicates the fly's behavior is quite flexible despite its many stereotypical behaviors, adding more evidence to the vision constancy in flies (Tang et al. 2004).
An exception in the transfer experiments is that flies failed to retain the conditioned visual orientation when facing an object with a different contour orientation. One possibility is the fly tracks the position by part of the pattern, e.g., the upper part. In that case, the PI of transfer session should be negative, which was not observed. Another possibility is that interference exists between the processing of horizontal position information and horizontally different patterns, thus preventing successful transfer (Tang et al. 2004). Indeed, previous work has shown that the pattern recognition is tolerant of vertical position change only if the patterns do not involve an elevation feature (Dill et al. 1993; Tang et al. 2004).
Functional specialization of the visual field
The compound eyes of the fly are horizontally symmetrical and consist of a mirror image pattern of ommatidia in the dorsal and ventral halves (Zheng et al. 1995; Choi et al. 1996). However, the upper and lower visual field has been shown to have a differential impact on fly behavior. Flies prefer a lower bar to a through bar, and prefer a through bar to an upper bar (Ernst and Heisenberg 1999). The cueing effect is lacking in the upper visual field for selective attention (Sareen et al. 2011).
Here, we found that bars of the same size can be used as landmarks for successful visual orientation conditioning in the lower or middle but not the upper third of the fly visual field (Supplemental Fig. S6). This is possibly because of the fact that the flies fixate poorly toward the upper bars (Supplemental Fig. S7; Yang and Guo 2013). Therefore, visual information from the upper visual field seems less relevant in the flies’ behavior, at least in the visual orientation. This is consistent with Drosophila behavior, which is mainly feeding on a surface and so has more interest in its lower visual field. It seems that there is already functional specialization of the visual field in Drosophila. Whether the specialization is hard wired or experience-dependent plasticity is still unknown.
Distinct molecular signaling for different memory processes
rut and dnc are required in many memory processes such as olfactory memory (Nighorn et al. 1991; Levin et al. 1992), visual pattern memory (Liu et al. 2006), and place learning in a heat box (Zars et al. 2000). However, we found that they are dispensable for conditioned visual orientation. It is possible that different memory processes involve different molecular mechanisms. Actually, the rut2080 also performed normally in motor learning (Brembs and Plendl 2008) and dnc1 in an orientation memory (Neuser et al. 2008). We found that the scb is required for conditioned visual orientation, essentially in the R3/R4d neurons. Indeed, scb was reported to be enriched in mushroom bodies and the ellipsoid body (Grotewiel et al. 1998). We also found that scb is involved in visual pattern memory (data not shown).
Neural mechanism of visual orientation memory
We silenced the activity of different subsets of neurons, by inducing the expression of Kir2.1 at adulthood, and found that the proper neuronal activities of c232-Gal4 labeled ellipsoid body R3/R4d neurons are required for visual orientation memory. In addition, control experiments showed that silencing these neurons did not affect heat avoidance or fixation. We conclude that these ellipsoid body neurons are either involved in the position representation or in the proper association between heat and visual position maintenance.
Behavioral plasticity is mediated by neuronal plasticity. To uncover the molecular mechanism of the plasticity of the R3/R4d neurons, we found rut and dnc are dispensable; whereas scb, encoding a subunit of Integrin, is required in R3/R4d neurons for conditioned visual orientation.
A previous study that documented spatial orientation memory, in which distracted walking flies could regain their original orientation, also required c232-Gal4 labeled ellipsoid body neurons (Neuser et al. 2008). In that paradigm, the visual object is no longer present during testing, so the mechanism is deemed to be through some idiothetic cue. The similarity of the two paradigms is that the flies choose one side, corresponding to an actual or virtual pattern. Thus, it is likely that the c232 neurons are involved in orientation representation (Seelig and Jayaraman 2013). Whether the association needs R3/R4d neurons still requires further study.
Materials and Methods
Fly stocks
Flies were reared on standard medium (Guo et al. 1996) at 25°C or 18°C (for flies with a tub-GAL80ts construct) and 60% relative humidity under a 12-h light/12-h dark regime. Three- to 4-d old male flies were used in all behavioral experiments. The following flies were used: Canton S (CS), UAS-rutGD3358 (Vienna Drosophila RNAi Center), dnc1, UAS-scbJF02696 (Bloomington Drosophila stock center), tub-GAL80ts;UAS-Kir2.1 (Ofstad et al. 2011), rut2080;UAS-rut+ (Zars et al. 2000), scbNP1373, NP6510-Gal4, and NP2320-Gal4 (Drosophila Genetic Resource Center at Kyoto Institute of Technology), 17d-Gal4 (Wei Yi), c205-Gal4, c819-Gal4, c232-Gal4, and elav-Gal4. All the Gal4 lines were outcrossed with w1118 flies for at least six generations before use.
Flight simulator and preparation of flies for experiments
All behavioral experiments were performed with a flight simulator (Heisenberg and Wolf 1984; Wolf and Heisenberg 1991). The detailed description of setup and experimental procedure has been visualized (Brembs 2008). Briefly, a single fly was tethered to a torque meter at the center of a circular panorama (Φ 48 mm × height 42 mm) via a wire hook. The yaw torque produced by the fly around its vertical body axis was transformed into the opposite rotation of the drum. Consequently, the fly could control the rotation of the drum and choose its orientation relative to the panorama (Fig. 1A). The panorama was divided virtually into four quadrants with the opposite two configured the same. Differential conditioning was achieved by switching an infrared laser (10.6 μm, 0.5 ± 0.2 W, in pulses with a 50- to 50-msec phase width), aimed at the abdomen of the fly, on and off contingent upon which one of the two types of quadrant the fly was heading toward (switching is almost simultaneous upon the fly passing the boundary of quadrants). Conditioning was reciprocated by coupling the heat shock to the two quadrants alternately with different flies.
The behavior was quantified by a performance index (PI), defined as PI = (t1 − t2)/(t1 + t2), where t1 is the time a fly spent heading toward one type of quadrant and t2 is the time it spent heading toward the other type that was usually associated with punishment.
To prepare flies for behavioral assay, 2- to 3-d-old flies were briefly cold anesthetized and then singly glued with Durafill Bond (Heraeus Kulzer, Hanau, Germany) to triangle-shaped hooks (made by Φ 0.05 mm wire) by their head and thorax with a stereo micromanipulator the day before the experiment. Flies were then kept individually in small chambers and were fed overnight with grains of sucrose on filter paper with one end immersed in water.
The laser power was adjusted before the experiment to optimize its conditioning efficacy but not so high as to immobilize the fly or kill it. Once adjusted, the laser power was kept constant. If a fly stopped flying more than three times during the experiment, the experiment was stopped and the data discarded.
Visual flight orientation conditioning
The visual flight orientation conditioning was based on a flight simulator (Fig. 1A). Two identical visual patterns as landmarks were presented at two opposite borderlines of the four quadrants on the panorama, such that when the fly headed toward the left side of the pattern it entered one quadrant and when the fly headed toward the right side it entered the other quadrant, allowing its orientation toward the patterns to be differentiated.
If not specified, we used two vertical through bars (horizontally 24°and vertically ∼82° in a subtended visual angle) as landmarks. We used the same training protocol as in the previous study (Pan et al. 2009), with nine 2-min sessions: two pretest sessions, four training sessions spaced by one test session, and two test sessions (Fig. 1B) with the arena position randomly reset entering each session. We used PI8, of the test session immediately after all the training sessions, for the evaluation of the flies’ conditioned visual orientation.
For visual orientation conditioning using the checkerboard, a uniformly checkered board pattern (32 × 9 squares, alternately black and white, each 11° × 11°) was used. For visual orientation conditioning using a single bar, only one bar of 24° width is used as a landmark. For the visual orientation conditioning experiment with the frontal visual field masked, a smaller transparent drum, with opaque white paper pasted on the frontal half, was placed concentrically within the rotating outer drum, so that the frontal half of the visual field is blocked.
Evaluation of spontaneous preference
The first two sessions in the standard protocol were test sessions. We used the PIs of the second test sessions to evaluate the positional prepreference of the flies. Because we used reciprocal training, we converted the PIs with punishment coupled to the bar on the left by multiplying them with −1 to make the PIs consistent with those when punishment was coupled to the bar on the right.
Transfer experiments for the visual orientation conditioning
In transfer experiments, a fly was trained with one type of pattern (e.g., a T) and then tested with the other corresponding type of pattern (e.g., an inverted T) of the same feature. The two corresponding patterns were pasted and aligned in two identical drums. Changing the drum was done while the illumination was off and took 30–60 sec.
The following black pattern pairs were used: (1) upright and inverted T-shaped patterns measured 36° vertically and 39° horizontally with the center at the horizon: the bars of the Ts were 12° wide; (2) patterns of different elevation: horizontal bars (40° × 10°) placed at 10° above and below the horizon; (3) patterns of different contour orientation: bars of different orientations (−45° and 45°); (4) patterns of different size: 20° × 20° and 34° × 34° squares; and (5) patterns of different vertical compactness: two horizontal bars (40° × 10°) with a vertical distance of 20° and 30°.
Heat shock procedure
Flies carrying tub-GAL80ts were cultured at 19°C. Two day-old flies were moved to 30°C environment for 1 d and then glued with hooks 12–18 h prior to behavioral tests and maintained at 30°C. The control groups remained at 19°C. Both groups were brought to a 25°C room for adaptation 1–2 h before the behavioral tests. All behavioral experiments were performed at 25°C.
Heat avoidance assay
For the heat avoidance test, we aligned four identical vertical bars to the center of each of the four quadrants and trained the flies to orientate toward two of the four quadrants using the same laser power. The PIs of the last training sessions (PIheat avoidance) were used to evaluate each fly's heat avoidance ability.
Fixation assay
For the fixation test, two bars of 24° width were aligned to the center of two opposing quadrants, and each fly was given three consecutive test sessions. PIs of the last sessions (PIfixation) were used to evaluate the fly's fixation ability.
Statistics
PIs were averaged across each group for statistical purposes. One-sample t-test was used to test if the performance index is significantly different from the chance level zero. One-way ANOVA was used to compare among groups, and the Tukey's Multiple Comparison Test was used post hoc to compare between groups. The significance level of statistical tests was set to 0.05. (***) P < 0.001, (**) P < 0.01, (*) P < 0.05, (NS) nonsignificant, two-sided P value. Error bars in the figures represent standard error of the mean (SEMs).
Supplementary Material
Acknowledgments
We thank Martin Heisenberg, Reinhard Wolf, Hiromu Tamimoto, Troy Zars, Bruno Van Swinderen, and Yufeng Pan for their suggestions and comments on the project. We also thank Michael B. Reiser (Janelia Farm Research Campus) and Wei Yi for stocks.
This work was supported by the Strategic Priority Research Program B of the Chinese Academy of Sciences (no. XDB02040002), the Ministry of Science and Technology of China (no. 2012CB825504), the National Natural Sciences Foundation of China (nos. 31030037 and 31300889), and the External Cooperation Program of BIC, Chinese Academy of Sciences (no. GJHZ201302).
Footnotes
[Supplemental material is available for this article.]
Article is online at http://www.learnmem.org/cgi/doi/10.1101/lm.036863.114.
References
- Bahl A, Ammer G, Schilling T, Borst A 2013. Object tracking in motion-blind flies. Nat Neurosci 16: 730–738. [DOI] [PubMed] [Google Scholar]
- Baines RA, Uhler JP, Thompson A, Sweeney ST, Bate M 2001. Altered electrical properties in Drosophila neurons developing without synaptic transmission. J Neurosci 21: 1523–1531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brembs B 2008. Operant learning of Drosophila at the torque meter. J Vis Exp 16: e731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Brembs B, Plendl W 2008. Double dissociation of PKC and AC manipulations on operant and classical learning in Drosophila. Curr Biol 18: 1168–1171. [DOI] [PubMed] [Google Scholar]
- Choi KW, Mozer B, Benzer S 1996. Independent determination of symmetry and polarity in the Drosophila eye. Proc Natl Acad Sci 93: 5737–5741. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dauwalder B, Davis RL 1995. Conditional rescue of the dunce learning/memory and female fertility defects with Drosophila or rat transgenes. J Neurosci 15: 3490–3499. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dill M, Wolf R, Heisenberg M 1993. Visual pattern recognition in Drosophila involves retinotopic matching. Nature 365: 751–753. [DOI] [PubMed] [Google Scholar]
- Dill M, Wolf R, Heisenberg M 1995. Behavioral analysis of Drosophila landmark learning in the flight simulator. Learn Mem 2: 152–160. [DOI] [PubMed] [Google Scholar]
- Ernst R, Heisenberg M 1999. The memory template in Drosophila pattern vision at the flight simulator. Vision Res 39: 3920–3933. [DOI] [PubMed] [Google Scholar]
- Gong ZF, Xia SZ, Liu L, Feng CH, Guo AK 1998. Operant visual learning and memory in Drosophila mutants dunce, amnesiac and radish. J Insect Physiol 44: 1149–1158. [DOI] [PubMed] [Google Scholar]
- Gong Z, Liu J, Guo C, Zhou Y, Teng Y, Liu L 2010. Two pairs of neurons in the central brain control Drosophila innate light preference. Science 330: 499–502. [DOI] [PubMed] [Google Scholar]
- Grotewiel MS, Beck CD, Wu KH, Zhu XR, Davis RL 1998. Integrin-mediated short-term memory in Drosophila. Nature 391: 455–460. [DOI] [PubMed] [Google Scholar]
- Guo A, Li L, Xia SZ, Feng CH, Wolf R, Heisenberg M 1996. Conditioned visual flight orientation in Drosophila: dependence on age, practice, and diet. Learn Mem 3: 49–59. [DOI] [PubMed] [Google Scholar]
- Heisenberg M, Wolf R 1984. Vision in Drosophila—genetics of microbehavior, Springer-Verlag, Berlin, Heidelberg, New York, Tokyo. [Google Scholar]
- Heisenberg M, Wolf R, Brembs B 2001. Flexibility in a single behavioral variable of Drosophila. Learn Mem 8: 1–10. [DOI] [PubMed] [Google Scholar]
- Jander R 1963. Insect orientation. Annu Rev Entomol 8: 95–114. [Google Scholar]
- Kamikouchi A, Inagaki HK, Effertz T, Hendrich O, Fiala A, Gopfert MC, Ito K 2009. The neural basis of Drosophila gravity-sensing and hearing. Nature 458: 165–171. [DOI] [PubMed] [Google Scholar]
- Levin LR, Han PL, Hwang PM, Feinstein PG, Davis RL, Reed RR 1992. The Drosophila learning and memory gene rutabaga encodes a Ca2+/Calmodulin-responsive adenylyl cyclase. Cell 68: 479–489. [DOI] [PubMed] [Google Scholar]
- Levine JD, Casey CI, Kalderon DD, Jackson FR 1994. Altered circadian pacemaker functions and cyclic AMP rhythms in the Drosophila learning mutant dunce. Neuron 13: 967–974. [DOI] [PubMed] [Google Scholar]
- Liu G, Seiler H, Wen A, Zars T, Ito K, Wolf R, Heisenberg M, Liu L 2006. Distinct memory traces for two visual features in the Drosophila brain. Nature 439: 551–556. [DOI] [PubMed] [Google Scholar]
- Menzel R, Greggers U, Hammer M 1993. Functional organization of appetitive learning and memory in a generalist pollinator, the honey bee. In Insect learning (ed. Lewis AC), pp. 79–125 Chapman & Hall, New York/London. [Google Scholar]
- Mittelstaedt H 1962. Control systems of orientation in insects. Annu Rev Entomol 7: 177–198. [Google Scholar]
- Neuser K, Triphan T, Mronz M, Poeck B, Strauss R 2008. Analysis of a spatial orientation memory in Drosophila. Nature 453: 1244–1247. [DOI] [PubMed] [Google Scholar]
- Nighorn A, Healy MJ, Davis RL 1991. The cyclic AMP phosphodiesterase encoded by the Drosophila dunce gene is concentrated in the mushroom body neuropil. Neuron 6: 455–467. [DOI] [PubMed] [Google Scholar]
- Ofstad TA, Zuker CS, Reiser MB 2011. Visual place learning in Drosophila melanogaster. Nature 474: 204–207. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pan Y, Zhou Y, Guo C, Gong H, Gong Z, Liu L 2009. Differential roles of the fan-shaped body and the ellipsoid body in Drosophila visual pattern memory. Learn Mem 16: 289–295. [DOI] [PubMed] [Google Scholar]
- Sareen P, Wolf R, Heisenberg M 2011. Attracting the attention of a fly. Proc Natl Acad Sci 108: 7230–7235. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Seelig JD, Jayaraman V 2013. Feature detection and orientation tuning in the Drosophila central complex. Nature 503: 262–266. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Semmelhack JL, Wang JW 2009. Select Drosophila glomeruli mediate innate olfactory attraction and aversion. Nature 459: 218–223. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Simpson JH 2009. Mapping and manipulating neural circuits in the fly brain. In Advances in genetics (ed. Stephen FG), Vol. 65, Chapter 3, pp. 79–143 Academic, San Diego. [DOI] [PubMed] [Google Scholar]
- Smith BH 1993. Merging mechanism and adaptation: an ethological approach to learning and generalization. In Insect learning: ecological and evolutionary perspectives (ed. Papaj DR, Lewis AC), pp. 126–157 Springer, Berlin. [Google Scholar]
- Tang S, Wolf R, Xu S, Heisenberg M 2004. Visual pattern recognition in Drosophila is invariant for retinal position. Science 305: 1020–1022. [DOI] [PubMed] [Google Scholar]
- Venken KJ, Simpson JH, Bellen HJ 2011. Genetic manipulation of genes and cells in the nervous system of the fruit fly. Neuron 72: 202–230. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Wolf R, Heisenberg M 1991. Basic organization of operant behavior as revealed in Drosophila flight orientation. J Comp Physiol A 169: 699–705. [DOI] [PubMed] [Google Scholar]
- Wolf R, Wittig T, Liu L, Wustmann G, Eyding D, Heisenberg M 1998. Drosophila mushroom bodies are dispensable for visual, tactile, and motor learning. Learn Mem 5: 166–178. [PMC free article] [PubMed] [Google Scholar]
- Xi W, Peng YQ, Guo JZ, Ye YZ, Zhang K, Yu F, Guo AK 2008. Mushroom bodies modulate salience-based selective fixation behavior in Drosophila. Eur J Neurosci 27: 1441–1451. [DOI] [PubMed] [Google Scholar]
- Yang X, Guo A 2013. Distinct acute zones for visual stimuli in different visual tasks in Drosophila. PLoS One 8: e61313. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Yorozu S, Wong A, Fischer BJ, Dankert H, Kernan MJ, Kamikouchi A, Ito K, Anderson DJ 2009. Distinct sensory representations of wind and near-field sound in the Drosophila brain. Nature 458: 201–205. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zars T, Wolf R, Davis R, Heisenberg M 2000. Tissue-specific expression of a type I adenylyl cyclase rescues the rutabaga mutant memory defect: in search of the engram. Learn Mem 7: 18–31. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Zheng L, Zhang J, Carthew RW 1995. Frizzled regulates mirror-symmetric pattern formation in the Drosophila eye. Development 121: 3045–3055. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.