Control of odor sensation by light and cryptochrome in the Drosophila antenna
Data files
Apr 09, 2025 version files 19.55 GB
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Figure_1.zip
13.96 MB
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Figure_2.zip
180.18 MB
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Figure_3.zip
111.71 MB
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Figure_4.zip
7.84 GB
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Figure_5.zip
233.99 MB
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Figure_6.zip
2.23 GB
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Figure_7.zip
110.81 MB
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Figure_S1.zip
32.04 MB
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Figure_S2.zip
14.32 MB
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Figure_S3.zip
8.22 GB
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Figure_S4.zip
364.97 MB
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Figure_S5.zip
6.38 MB
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Figure_S6.zip
146.01 MB
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Figure_S7.zip
57 MB
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Funnel.stl
713.58 KB
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Imaging-Chamber.stl
1.38 KB
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Odorant-cap.stl
1.01 MB
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README.md
15.10 KB
Abstract
Olfaction is a sense employed by insects to differentiate safe from harmful food options, evaluate potential mates, and identify oviposition sites. Here, we found that the fruit fly, Drosophila melanogaster, responds differently to a set of repulsive odors depending on ambient light conditions. Ultraviolet (UV) or blue light reduces the behavioral aversion and electrophysiological responses of olfactory receptor neurons (ORNs) to certain repellent odors, such as benzaldehyde. We found that cryptochrome (cry) is strongly expressed in the antennal support cells that lie adjacent to ORNs, and mutation of cry eliminates the light-dependent reduction in aversion. Thus, these data indicate that support cells in an olfactory organ serve a sensory function as light responsive cells. It has been shown that light activation of Cry creates reactive oxygen species (ROS), and ROS activates the TRPA1 channel. We demonstrate that the TRPA1-C isoform is expressed and required in ORNs for benzaldehyde repulsion, and that TRPA1-C is activated in vitro by benzaldehyde. Overexpression of dual oxygenase, which generates hydrogen peroxide, reduced the aversion under dark conditions. Our data support the model that light-dependent creation of hydrogen peroxide persistently activates TRPA1-C. Consequently, the channel is no longer effectively activated by benzaldehyde. Since flies sleep much more at night, and begin feeding at dawn, we propose that the light-induced reduction in aversion to certain odors provides a mechanism to lower the barrier to feeding following the transition from night to day.
Dataset DOI: 10.5061/dryad.ffbg79d5n
Description of the data and file structure
We tested the effects of ambient light on the olfactory behavior of Drosophila melanogaster. The following are video recordings, electrophysiology, immunohistochemistry and functional imaging that were performed to assay the olfactory behavior and physiology of Drosophila.
Files and variables
File: Odorant-cap.stl
Description: 3D print file that prints the odorant-housing and assay-tube-capping implement used in the behavior assays in this work. This part is best printed using a resin-based printer on a fine precision setting.
File: Imaging-Chamber.stl
Description: 3D print file that prints the imaging chamber constructed to place one to two Drosophila antennae in place for functional imaging. This part is best printed using a resin-based printer in order to obtain smooth surface finish. Finishing the printed chamber for use requires piercing the narrowest point of the bottom of the chamber with a sharp pair of tweezers or a fine needle in order to create an aperture only large enough to securely hold a Drosophila antenna. A dissected antenna should be placed next to the bottom while creating this aperture for accuracy. The bottom of the chamber then is sealed with a standard clear coverslip held in place by vacuum grease and tape.
File: Funnel.stl
Description: 3D print file that prints the funnel that straddles the lip of the glass tubes used for behavior assays in this work. This part can be printed using either a filament- or resin- based printer. The inner ridges of the funnel hold it against the tube securely while flies are tapped into the tube by rapidly inverting a fly vial into the open mouth of the funnel.
File: Figure_1.zip
Description: This dataset contains video files with .avi extension that can be viewed in any standard video software and analyzed to obtain behavior metrics using the two Python code files included in this work - CoM_tracker.py and PI_tracker.py.
The raw videos are organized in sub-folders “Expt 1” to “Expt 5”, each corresponding to an experiment. Each experimental folder consists of 1 to 2 tubes containing 1, 2, 4, 8, 16, 32 or 64 flies.
File: Figure_3.zip
Description: This dataset contains electroantennograms recorded as .eag files that are readable in EAGPro (Ockenfels Syntech GmbH). This dataset also contains video files with .avi extension that can be viewed in any standard video software and analyzed to obtain behavior metrics using the two Python code files included in this work.
This dataset is organized in 4 subfolders. Subfolder “Figure 3AB” consists of electroantennograms recorded as .eag files corresponding to Figure 3A and 3B.
Subfolder “Figure 3C” consists of subfolders corresponding to the genotype of the flies tested: “Control”, “ninaEI17”, “norpAP24”, “Rh3-2”, “Rh4-1”, “Rh7-1”, “Rh7-L”. Each subfolder corresponding to a genotype contains two subfolders - one for experiments performed in the dark (named “Dark”) and the other for those performed under UV illumination (named “UV”), each of which contains raw video files in .avi format.
Subfolder “Figure 3D” consists of subfolders corresponding to the genotype of the flies and the wavelength of light that they were tested in (for e.g. “cry01 365 nm” corresponds to cry01 mutant flies tested under 365 nm light illumination), each of which contains raw video files in .avi format.
Subfolder “Figure 3EF” consists of electroantennograms recorded as .eag files corresponding to Figure 3E and 3F.
File: Figure_S2.zip
Description: This folder contains a confocal imaging file in .czi format that can be viewed in Zeiss Zen software or ImageJ. The file is labeled according to the transgenes expressed by the flies.
File: Figure_S1.zip
Description: This dataset contains video files with .avi extension that can be viewed in any standard video software and analyzed to obtain behavior metrics using the two Python code files included in this work. The dataset is arranged in subfolders corresponding to individual figures.
Subfolder “Figure S1AC” contains raw video files in .avi format.
Subfolder “Figure S1D” contains subfolders for each of the concentrations of benzaldehyde that were tested. For example, “1 percent” contains raw video files in .avi format for which the flies were tested against 1 % benzaldehyde. “pt 1 percent” contains raw video files in .avi format for which the flies were tested against 0.1 % benzaldehyde. Each subfolder corresponding to a concentration contains subfolders corresponding to different experiments conducted for the same concentration of benzaldehyde.
Subfolder “Figure S1E” contains subfolders corresponding to different experiments conducted for either only male, only female or mixed populations of flies.
File: Figure_S5.zip
Description: This folder contains confocal imaging files in .czi format that can be viewed in Zeiss Zen software or ImageJ. The files are labeled according to the genotype of the flies and whether they were baseline recordings or after UV stimulation. For example “cry01 UV.czi” indicates a sample taken from cry01 mutant flies tested after UV stimulation.
File: Figure_2.zip
Description: This dataset contains video files with .avi extension that can be viewed in any standard video software and analyzed to obtain behavior metrics using the two Python code files included in this work. The dataset is arranged in subfolders corresponding to individual figures.
Subfolder “Figure 2A” contains subfolders which contain raw video files in .avi format. “Expt 1” and “Expt 2” subfolders contain .avi files corresponding to flies tested in the dark. “Expt 3” and “Expt 4” subfolders contain .avi files corresponding to flies tested under white light illumination.
Subfolder “Figure 2B” consists of subfolders corresponding to each color of light that was used for illumination. For example subfolder “Blue” consists of two subfolders “Expt 1” and “Expt 2”, both of which contain raw video files in .avi format corresponding to experiments in which flies were exposed to blue light.
Subfolder “Figure 2C” consists of subfolders corresponding to each intensity of light that was used for illumination. For example subfolder “1 uWpercm2” consists of two subfolders “Expt 1” and “Expt 2”, both of which contain raw video files in .avi format corresponding to experiments in which flies were exposed to 1 micro-watt/cm^2 of light intensity.
Subfolder “Figure 2D” consists of subfolders corresponding to each intensity of light that was used for illumination. For example subfolder “18 uWpercm2” consists of two subfolders “Expt 1” and “Expt 2”, both of which contain raw video files in .avi format corresponding to experiments in which flies were exposed to 18 micro-watt/cm^2 of light intensity.
Subfolder “Figure 2E” consists of subfolders corresponding to each concentration of benzaldehyde that the flies were exposed to. For example subfolder “1 percent” consists of two subfolders “Dark” and “UV”, both of which contain raw video files in .avi format corresponding to experiments in which flies were exposed to 1% benzaldehyde either to no light or to UV.
Subfolder “Figure 2F” consists of subfolders corresponding to the odor that the flies were exposed to. For example subfolder “AITC” consists of two subfolders “Dark” and “UV”, both of which contain raw video files in .avi format corresponding to experiments in which flies were exposed to AITC either to no light or to UV.
File: Figure_5.zip
Description: This dataset contains video files with .avi extension that can be viewed in any standard video software and analyzed to obtain behavior metrics using the two Python code files included in this work. The dataset is arranged into subfolders corresponding to individual figures.
Subfolder “Figure 5A” contains raw video files in .avi format organized by the genotype of the flies used. For example subfolder “Lush-GAL4-Cry01” contains video files of flies carrying lush-GAL4 and the cry01 mutant allele.
Subfolder “Figure 5B” contains subfolders which contains raw imaging data in .czi format for control flies - “wt” or flies carrying the cry01 mutant allele - “cry01”.
Subfolder “Figure 5C” contains raw video files in .avi format organized by the genotype of the flies used. For example subfolder “Lush-GAL4 X UAS-Duox” contains video files of flies carrying the lush-GAL4 and UAS-Duox transgenes.
File: Figure_7.zip
Description: This dataset contains video files with .avi extension that can be viewed in any standard video software and analyzed to obtain behavior metrics using the two Python code files included in this work. This dataset also includes electrophysiological data recorded in .abf format that can be viewed in Clampex or Clampfit (Molecular Devices). The dataset is arranged into subfolders corresponding to individual figures.
Subfolder “Figure 7A” contains raw video files in .avi format organized by the genotype of the flies used. For example subfolder “trpA1-KO” contains video files of flies carrying the trpA1-KO mutant allele.
Subfolder “Figure 7B” contains raw video files in .avi format organized by the genotype of the flies used. For example subfolder “TRPA1-CD-GAL4 X UAS-TRPA1C-TRPA1-1” contains video files of flies carrying the trpA1-GAL4 and UAS-trpA1-C and the trpa1-1 mutant allele.
Subfolder “Figure 7C” contains raw video files in .avi format organized by the genotype of the flies used. For example subfolder “Orco-GAL4 X Kir” contains video files of flies carrying the orco-GAL4 and UAS-Kir transgenes.
Subfolders “Figure 7D-F” and “Figure 7G-I” each contain electrophysiological data recorded in .abf format.
File: Figure_S4.zip
Description: This folder contains confocal imaging files in .czi format that can be viewed in Zeiss Zen software or ImageJ. The files are labeled according to the transgenes expressed by the flies. For example, “ase-GAL4 x GFP-Cry-UASmcd8Dsred.czi” was the data collected from flies that expressed ase-GAL4, GFP-Cry and UASmcd8-Dsred.
File: Figure_6.zip
Description: This folder contains confocal imaging files in .lsm format that can be viewed in Zeiss Zen software or ImageJ. The files are labeled according to the transgenes expressed by the flies. For example, “TRPA1-CD-GAL4 X UAS-GFP.lsm” was the data collected from antennal lobes dissected from flies that expressed TRPA1-CD-GAl4 and UAS-GFP.
File: Figure_S6.zip
Description: This folder contains a confocal imaging file in .czi format that can be viewed in Zeiss Zen software or ImageJ. The file is labeled according to the transgenes expressed by the flies.
File: Figure_S7.zip
Description: This dataset contains video files with .avi extension that can be viewed in any standard video software and analyzed to obtain behavior metrics using the two Python code files included in this work. The data are organized in subfolders corresponding to the odor that the flies were exposed to.
Subfolder “Figure S7A” - corresponding to experiments in which flies were exposed to propionic acid either in the dark or under UV - consists of two subfolders “Dark” and “UV”, both of which contain subfolders corresponding to experiments performed with propionic acid. These subfolders contain raw video files in .avi format.
Subfolder “Figure S7B” - corresponding to experiments in which flies were exposed to R-limonene either in the dark or under UV - consists of two subfolders “Dark” and “UV”, both of which contain subfolders corresponding to experiments performed with R-limonene. These subfolders contain raw video files in .avi format.
Subfolder “Figure S7C” - corresponding to experiments in which flies were exposed to AITC either in the dark or under UV - consists of two subfolders “Dark” and “UV”, both of which contain subfolders corresponding to experiments performed with AITC. These subfolders contain raw video files in .avi format.
Subfolder “Figure S7D” - corresponding to experiments in which flies were exposed to citronellal either in the dark or under UV - consists of two subfolders “Dark” and “UV”, both of which contain subfolders corresponding to experiments performed with citronellal. These subfolders contain raw video files in .avi format.
Subfolder “Figure S7E” - corresponding to experiments in which flies were exposed to isovaleric acid either in the dark or under UV - consists of two subfolders “Dark” and “UV”, both of which contain subfolders corresponding to experiments performed with isovaleric acid. These subfolders contain raw video files in .avi format.
Subfolder “Figure S7F” - corresponding to experiments in which flies were exposed to lemongrass either in the dark or under UV - consists of two subfolders “Dark” and “UV”, both of which contain subfolders corresponding to experiments performed with lemongrass. These subfolders contain raw video files in .avi format.
File: Figure_4.zip
Description: This folder contains a confocal imaging file in .czi format that can be viewed in Zeiss Zen software or ImageJ. The files are labeled according to the transgenes expressed by the flies and the tissue that was imaged. For example, “LushGAL4 X GFP-Cry-UASmcd8dsred antenna” indicates flies expressing Lush-GAL4, GFP-Cry and UASmcd8-Dsred and the tissue that was imaged was the antenna.
File: Figure_S3.zip
Description: This folder contains confocal imaging files in .czi format that can be viewed in Zeiss Zen software or ImageJ. The files are labeled according to the transgenes expressed by the flies and the tissue that was imaged. For example, “OrcoRFP-UAS-GFP X Cry-GAL4 brain” indicates flies expressing Orco-RFP, UAS-GFP and Cry-GAL4 and the tissue that was imaged was the brain.
Code/software
The two included python scripts - CoM_tracker and PI_tracker can be used to analyze the behavior data .avi video files. For this work, the scripts were run in Phycharm Community edition (JetBrains). The following python libraries are required: matplotlib, numpy, opencv, pandas and tkinter. Upon running either script, a dialog box appears, asking the user to specify the video files to be analyzed. A single folder in which all video files that need to be analyzed should be selected. The user is required to write the destination of the analysis files within the script. The output is in the form of .csv files saved in the destination provided by the user. The .csv files contain center of mass or preference index values that can be analyzed in standard spreadsheets and graphing software.
Access information
Data was derived from the following source:
- Data used in Supplementary information Figure S4 A-F was derived from https://flycellatlas.org/