Data from: Innate floral object identification in a solitary pollinator employs a combination of both visual and olfactory cues
Data files
Feb 16, 2026 version files 28.13 MB
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Dataset1.xlsx
37.79 KB
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Dataset2.1.txt
32.28 KB
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Dataset2.2.txt
2.02 KB
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Dataset3.xlsx
99.86 KB
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Dataset4.xlsx
129.51 KB
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GCMS_traces.zip
27.82 MB
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README.md
8.17 KB
Abstract
Object identification is fundamental to animal behaviour, and identifying nutritive objects is key for survival. Solitary insects emerging far from food sources and without access to social learning must therefore employ innate identification of food cues to locate relevant nutritive objects from a distance. Such innate preferences for food cues should be both specific enough to allow discrimination between food and non-food objects and general enough to allow for the variety of food objects relevant to the insect species. Here, we examined innate floral object identification behaviour in solitary generalist insect pollinator Eristalinus aeneus using an artificial floral object with both visual and olfactory cues previously found to be attractive to several hoverfly species across multiple environments. We used a subtractive two choice assay to present flower-naïve E. aeneus with a choice between this object and a similar object that differed in either a single visual or olfactory cue. We found that innate floral choices of the hoverfly E. aeneus are a product of broad, plant-based olfactory cues and visual cues, where a combination of radial symmetry and reflectance in the 300–400 nm and 500–700 nm wavelength range was particularly important for innate floral object preference. Our study, therefore, shows how solitary animals without prior experience can efficiently employ multimodal cues to identify multiple relevant nutritive objects.
Dataset DOI: 10.5061/dryad.rv15dv4fm
Description of the data and file structure
A. These Datasets are from a study aimed at understanding the innate floral choices of hoverfly Eristalinus aeneus.
B. PUBLICATION CITATION: Mishra, A., Jain, A., Iyer, P.S. et al. Innate floral object identification in a solitary pollinator employs a combination of both visual and olfactory cues. Sci Nat 112, 18 (2025). https://doi.org/10.1007/s00114-025-01965-5
C. AUTHOR INFORMATION:
Aditi Mishra1 · Anupreksha Jain2 · Padmapriya S. Iyer3 · Ashwin Suryanarayanan1 · Karin Nordström4,5 · Shannon B. Olsson1,6
1. Naturalist‑Inspired Chemical Ecology, National Centre for Biological Sciences (NCBS), Tata Institute of Fundamental Research, Bengaluru, Karnataka, India 560065
2. Department of Entomology, University of Wisconsin, Madison, USA
3. Tata Institute of Fundamental Research, Hyderabad, Telangana, India 500046
4. Department of Medical Cell Biology, Uppsala University, 75123 Uppsala, Sweden
5. Flinders Health, and Medical Research Institute, Flinders University, GPO Box 2100, Adelaide, SA 5001, Australia
6. The echo network, Danish Academy of Technical Sciences, Copenhagen, Denmark
D. CORRESPONDENCE: Aditi Mishra, Shannon B. Olsson, e-mail: : aditi@nicelab.science, shannon@nicelab.science
E. DATE OF DATA COLLECTION: MAY 2017 - FEB 2022
F. GEOGRAPHIC LOCATION OF DATA COLLECTION: National Centre for Biological Sciences (NCBS), Tata Institute of Fundamental Research, Bengaluru, Karnataka, India – 560065
G. KEYWORDS: colour vision, olfaction, template matching, behavioural ecology, neuroethology
H. FUNDING SOURCE: We acknowledge the support provided by Stiftelsen Olle Engkvist Byggmästare, Sweden (grant numbers 2014/254, 2016/348); and NCBS-TIFR funding, Department of Atomic Energy, Government of India and a SERB Ramanujan Fellowship to S.B.O. under project no. 12-R&D-TFR-5.04-0800 and 12-R&D-TFR-5.04-0900.
Files and variables
File: Dataset1.xlsx
Description: TITLE OF DATASET: Normalised EAG values. This datasheet contains EAG response to floral volatiles normalised to the solvent (hexane) used in the study mentioned above.Sheet one contains the normalised deflection values for different dosages of the chemicals used in the study and Sheet two contains the normalised deflection for different concentrations of meta cresol with the sex of the flies used in the study. The EAG responses are recorded as dimensionless normalised deflection (mV/mV).
Variables
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Acronyms used -
CF coffee furanone
o positive odour blend o+
GLV green leaf volatile
MC meta cresol
IA isoamyl acetate
F female
M male
NA Not available data points due to factors like insects dying, recording electrode losing contact or mechanical vibration etc.
File: Dataset3.xlsx
Description: TITLE OF DATASET: Rawdata of two choice assays. This Dataset is used to analyse differences in response to models used in the study using Binommial GLMM;
Variables
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contains the following columns (in bold) for all the flies used in the study -
FLY_ID = the unique identifier of the fly;experiment = the assay conducted and information on which model is assigned model1 and which model is assigned model2;
Responder_Yes1_No0 = whether the fly responded in the assay or not ( responder = 1, non-responder = 0);
Response_Model1_Yes1_No0 = if the fly responded then, which model in the assay did it responded to ( if the model1 is responded to = 1, if model2 is responded to = 0);
batch = which batch did this test animal belong to;
SEX_female1_male0 = sex of the fly (female = 1, male = 0); and Response_landing0_directedflight1 = the response of the tested fly (landing = 0, directed flight 1).
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Acronyms used -
FLY_ID = the unique identifier of the fly;experiment = the assay conducted and information on which model is assigned model1 and which model is assigned model2;
Responder_Yes1_No0 = whether the fly responded in the assay or not ( responder = 1, non-responder = 0);
Response_Model1_Yes1_No0 = if the fly responded then, which model in the assay did it responded to ( if the model1 is responded to = 1, if model2 is responded to = 0);
batch = which batch did this test animal belong to;
SEX_female1_male0 = sex of the fly (female = 1, male = 0); and Response_landing0_directedflight1 = the response of the tested fly (landing = 0, directed flight 1).
(assay1;model1=v+o+;model2=v-o-) = assay1 in the manuscript
(assay2;model1=v+o+;model2=v+o- = assay2 in the manuscript
(assay3;model1=v+o+;model2=v-o+ = assay3 in the manuscript
(assay4;model1=v+o+;model2=gray+o+) =assay4 in the manuscript
(assay5;model1=v+o+_L,model2=v+o+_R) = assay5 in the manuscript
(assay6;model1=v+o+;model2=Blue+o+) = assay6 in the manuscript
(assay7;model1=v+o+;model2=v+GLV) = assay7 in the manuscript
(assay8;model1=v+o+;model2=White+o+) = assay8 in the manuscript
(assay9;model1=v+o+;model2=v+1%o+) = assay9 in the manuscript
(assay10;model1=v+o+;model2=v+CF) = assay10 in the manuscript
(assay11;model1=v+o+;model2=v+IA) = assay11 in the manuscript
(assay12;model1=v+o+;model2=asymmetric+o+) = assay 12 in the manuscript
(assay13;model1=v+o+;model2=LR+o+) = assay13 in the manuscript
(assay14;model1=v+o+;model2=Hexagonal+o+) = assay14 in the manuscript
(assay15;model1=LR+o+;model2=Blue+o+) = assay15 in the manuscript
(assay16;model1=v+1%o+;model2=v+1%GLV) = assay16 in the manuscript
(assay17;model1=v+MC;model2=v-MC) = assay17 in the manuscript
(assay18;model1=v+o+;model2=v+MC) = assay18 in the manuscript
(assay19;model1=v+1%o+;model2=v+GLV) = assay19 in the manuscript
(assay20;model1=v+o+;model2=v+1%GLV) = assay20 in the manuscript
File: Dataset4.xlsx
Description: spectral power distribution measurements. This datasheet contains spectral power distribution of models used in the study and of the background as a dimensionless percentage of the reflectance of the white balance (Labsphere certified reflectance standard USRS-99-010 AS-01158-060 S/N 99AA08-0615-3676) under the 5000 Lux LED lights used in the experimental setup (ORFLD-30W, Chromatic temperature 6500 K close to CIE standard illuminant D65 with a chromatic temperature of 6504 K).
File: GCMS_traces.zip
Description: Raw GCMS files for chemical analyses performed. See README embedded in this directory. Agilent Chemstation compatible software required. Open-source alternatives using the existing files include https://www.openchrom.net/ or conversion of the existing files to open format (e.g. mzML) using http://proteowizard.sourceforge.io/tools/msconvert.html
Code/software
File: Dataset2.1.txt
Description: TITLE OF DATASET: SCRIPT1: R script for GLMM
#The working directory can be set according to convenience.
#requires version R 3.6.0+ or later.
# see file for additional details
Variables
File: Dataset2.2.txt
Description: TITLE OF DATASET: SCRIPT2 R script for analysis of sex differences in EAG responses to meta cresol
#The working directory can be set according to convenience.
#requires version R 3.6.0+ or later.
# see file for additional details
Variables
Access information
Other publicly accessible locations of the data:
- None
Data was derived from the following sources:
- See Description
