Odorant receptor structures predict the major female sex pheromone component in a moth.
Overview
- Université Côte d’Azur, CNRS, ICN, Nice, France
- INRAE, Sorbonne Université, CNRS, IRD, Université Paris Cité, Université Paris Est Créteil Val de Marne, Institut d’Ecologie Et Des Sciences de L’Environnement de Paris (iEES-Paris), Versailles, France
- Department of Entomology, College of Plant Protection, Nanjing Agricultural University, Nanjing, China
Abstract
Background: Species isolation in insects can be ensured by prezygotic barriers, such as species-specific sex pheromone blends that mediate sexual attraction and mate recognition. Yet, sex pheromone compositions of many species remain poorly characterized outside important agricultural pests, because of the necessity to access live insects for pheromone extraction, the difficulties in identifying the production period, and the precise identification of behaviorally relevant compounds in extracts.
Results: Here, we use an odorant receptor (OR)-guided approach to identify the major female sex pheromone component of the previously unexplored lily moth, Spodoptera picta. Genome analysis identified S. picta orthologs of the pheromone receptors OR5 and OR75, previously characterized in S. litura and S. littoralis. Structural modeling of OR5 and OR75 combined with molecular docking predicted conserved ligand binding to (Z,E)-9,11–14:OAc, which was confirmed by functional assays on the ORs. Gas chromatography–mass spectrometry analyses of female pheromone gland extracts identified this compound as the major pheromone component, and electrophysiological and behavioral assays further demonstrated that it elicits antennal responses and is sufficient to attract males.
Conclusions: Together, these results establish an innovative receptor structure-based strategy for pheromone identification in non-model species, provide insights into the sexual chemical ecology of S. picta, and clarify the evolutionary pathway by which a unique class of pheromone receptors emerged by gene duplication and gained specificity.
Supplementary Information: The online version contains supplementary material available at https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Code
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Data
Datasets cited
- github.com/
chemosim-lab/ , at github.com; found in “Data availability”data_phero_spicor5-75
Data availability
The experimental data from single-sensillum recordings were deposited on GitHub (https://
Reproduced under the paper's license (CC BY), from the paper cited above.
Versions
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Version 3, 28 September 2026
- Funding: added Agence Nationale de la Recherche: France2030, ANR-24-RRII-0003, ANR-20, ANR-20-CE20-0003, 15-IDEX-01, ANR‐15‐IDEX‐01; Henan University; Centre National de la Recherche Scientifique: ANR-15-IDEX-01; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Version 1, 27 September 2026: the first record
Recorded: type, language, journal, volume, issue, pages, dates, 8 authors, 5 keywords, 8 MeSH terms, 48 references.
Cite
This paper
Comte, A., Wei, Z., Li, H., Xing, W.-Z., Moracci, R., Zhang, J., Fiorucci, S., & Jacquin-Joly, E. (2026). Odorant receptor structures predict the major female sex pheromone component in a moth. BMC biology, 24(1), 193. https://
BibTeX
@article{comte2026odoran
author = {Comte, Arthur and Wei, Zhiqiang and Li, Hui and Xing, Wen-Zhe and Moracci, Riccardo and Zhang, Jin and Fiorucci, Sébastien and Jacquin-Joly, Emmanuelle},
title = {{Odorant receptor structures predict the major female sex pheromone component in a moth}},
journal = {BMC biology},
year = {2026},
month = sep,
volume = {24},
number = {1},
pages = {193},
publisher = {BMC},
issn = {1741-7007},
doi = {10.1186/
url = {https://
pmid = {42764364},
pmcid = {PMC13591803}
}
RIS
TY - JOUR
AU - Comte, Arthur
AU - Wei, Zhiqiang
AU - Li, Hui
AU - Xing, Wen-Zhe
AU - Moracci, Riccardo
AU - Zhang, Jin
AU - Fiorucci, Sébastien
AU - Jacquin-Joly, Emmanuelle
TI - Odorant receptor structures predict the major female sex pheromone component in a moth
T2 - BMC biology
J2 - BMC Biol
PY - 2026
DA - 2026/
VL - 24
IS - 1
SP - 193
SN - 1741-7007
PB - BMC
DO - 10.1186/
UR - https://
LA - en
ER -
CSL-JSON
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