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Odor localization requires visual feedback during free flight in Drosophila melanogaster

Mark A. Frye1,*, Michael Tarsitano1 and Michael H. Dickinson2

1 Department of Integrative Biology, University of California — Berkeley, Berkeley, CA 94720, USA
2 Bioengineering, Mail Code 138-78, California Institute of Technology, 1200 E. California Blvd, Pasadena, CA 91125, USA



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Fig. 1. Geometry of free-flight arena and experimental visual patterns. (A) Flies explored an arena 1 m in diameter, 0.6 m high. A pair of video cameras tracked Drosophila flight trajectories within a conical region of the arena (broken lines). (B—F) Different black-and-white patterns, printed on white paper, formed experimental visual landscapes. In all cases, the ceiling and floor of the arena were left black, forming two contrasting vertical edges. Circular icons, representing the top view of each visual treatment, are used in subsequent figures. The asterisk indicates a region of pattern that may have biased trajectory distributions (see Materials and methods).

 


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Fig. 2. Flies fail to localize the horizontal position of an attractive odor source in the absence of textured visual surroundings. Sample flight trajectories, viewed from above, of flies flying within random checkerboard (A) and uniform white (B) visual surroundings. Embedding a vial of apple cider vinegar in the floor of the arena (location indicated by white circles) resulted in biased flight trajectories for animals flying within the random (C), but not the uniform (D), treatment. Average position indicated with 2-D histograms plotted in pseudocolor. Position bins are 50 mmx50 mm. Number of flies (N) and total flight time in min (t) are indicated for each plot.

 


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Fig. 3. Flies respond to odor by flying at lower arena altitudes. Sample flight trajectories for visual and olfactory treatments viewed from the side. (A) random checkerboard, (B) uniform, (C) checkerboard plus odor and (D) uniform plus odor. Probability histograms show distributions for altitude in (E) random checkerboard, (F) uniform, (G) checkerboard plus odor and (H) uniform plus odor. Location of odor source indicated by white circles. Numbers of flies and total flight times are the same as in Fig. 2.

 


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Fig. 4. Measured parameters from fly flight trajectories. (A) Flies exhibit segments of straight flight punctuated by turns of approximately 90°. (B) Saccades are characterized by rapid increases in angular velocity, therefore easily distinguished in time and space. (C) For each saccade, we measured several parameters of flight control, including saccade angle, collision distance, arena heading, segment length and odor distance.

 


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Fig. 5. For a sample flight trajectory within the random checkerboard arena, saccade angle (A) does not fluctuate, whereas velocity (B), segment length (C), and collision distance (D) vary as a fly approaches the odor source (E). The gray bar highlights low odor distance.

 


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Fig. 6. Flight speed between saccades varies within an envelope across segment length. Each point represents the mean velocity between two saccades. Data plotted from the random checkerboard treatment. Numbers of flies and total flight time are the same as in Fig. 2.

 


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Fig. 7. Segment length between saccades is reduced near the odor source. Segment length plotted against odor distance for each saccade exhibited by flies flying in (A) random, (B) uniform, (C) random checkerboard plus odor and (D) uniform background plus odor. A greater proportion of saccades exhibited in odor treatments occurs near the source, and saccades exhibited near the source follow short segments (gray bars highlight data points within a 75 mm radius of the odor source). Probability distributions for each saccade were generated by binning segment length according to odor distance: (E) random checkerboard background and (F) uniform white background plus odor (red) or minus odor (blue). Median segment length was calculated for each 30 mm bin of odor distance: (G) random checkerboard background and (H) uniform white background plus odor (red) or minus odor (blue). Numbers of flies and total flight time are the same as in Fig. 2.

 


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Fig. 8. Flies orient towards an odor source located near the wall at 270° (indicated by broken lines) when flying within visually textured surroundings. For each saccade, collision distance is plotted against arena heading, with median collision distance for bins in arena heading indicated in red and optimized sine fit indicated in blue. The amplitude of the sinusoidal fits indicates the distance between the peak in the average transit distribution and the center of the arena (for details, see Appendix). Random checkerboard (A), uniform (B), random plus odor (C) and uniform plus odor (D) treatments. Numbers of flies and total flight time are the same as in Fig. 2.

 


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Fig. 9. Flies localize odor within backgrounds of uniformly spaced vertical stripes. Sample flight trajectories from flies flying within arenas of (A) three thick vertical stripes and (B) evenly spaced vertical stripes. Embedding a vial of apple cider vinegar in the floor of the arena (location indicated by white circles) resulted in biased flight trajectories for animals flying within both three-stripe (G) and multiple vertical stripe (H) treatments. Average position indicated with 2-D histograms plotted in pseudocolor. Position bins are 50 mmx50 mm. Number of flies (N) and total flight time in min (t) are indicated for each plot.

 


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Fig. 10. Flies respond to odor by flying lower in the arena within vertical striped visual conditions. (A—D) Sample flight trajectories for visual treatments and odor viewed from the side (odor location indicated by white circles). (E—H) Average probability distributions for altitude (number of flies and total flight time are the same as in Fig. 9).

 


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Fig. 11. Segment length between saccades is reduced near the odor source in vertically striped treatments. (A,B) Probability distributions for each saccade were generated by binning segment length according to odor distance (raw data not shown). (C,D) Median segment length was calculated for each 30 mm bin of odor distance. Odor treatments are indicated in red, whereas non-odor treatments are indicated in blue. Numbers of flies and total flight time are the same as in Fig. 9.

 


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Fig. 12. Flies orient towards an odor source when flying within visual surroundings containing vertically oriented edges (odor location, 270°, indicated by broken lines). For each saccade, collision distance is plotted against arena heading, with median values of collision distance for bins in arena heading indicated in red and optimized sine fit indicated in blue (see Appendix). (A,B) Non-odor treatments, (C,D) odor treatment. Numbers of flies and total flight time are the same as in Fig. 9.

 


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Fig. 13. Within a background of horizontal stripes, flies show qualitatively different flight trajectories compared with other visual conditions and fail to localize an odor source. (A,B) Sample flight trajectories and (C,D) mean transit distributions indicate that flies fly curved paths close to the wall. (E—H) Flies respond to odor by reducing altitude, as in Fig. 3. Probability distributions (I) and median segment length (J) shift for animals in odor as in other visual conditions. (K,L) Modulations in collision distance are weak for animals tested in odor. Median segment length and sine fits are determined as in Figs 8, 12.

 


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Fig. 14. Flight simulations based on trajectory statistics exhibited by real flies show that modulation of segment length and collision distance is sufficient to account for odor localization. Individual trajectories are composed of 200 saccades, and average spatial distributions resulting from 100 simulations are plotted in pseudocolor as in Fig. 2. (A) No odor modulation of saccade statistics. (B) For saccades that occur by chance near the odor source, segment length is reduced. (C) Collision distance scaled as a sine function of approach angle, as exhibited by real flies (see Appendix). (D) Both segment length and collision distance modulated by odor.

 





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