Academic Journal
An integrated anatomical, functional and evolutionary view of the Drosophila olfactory system
| Title: | An integrated anatomical, functional and evolutionary view of the Drosophila olfactory system |
|---|---|
| Authors: | Richard Benton, Jérôme Mermet, Andre Jang, Keita Endo, Steeve Cruchet, Karen Menuz |
| Source: | EMBO Rep bioRxiv EMBO reports, vol. 26, no. 12, pp. 3204-3225 |
| Publication Status: | Preprint |
| Publisher Information: | Springer Science and Business Media LLC, 2025. |
| Publication Year: | 2025 |
| Subject Terms: | Resource, Article, Animals, Drosophila melanogaster/anatomy & histology, Drosophila melanogaster/physiology, Drosophila melanogaster/genetics, Olfactory Receptor Neurons/metabolism, Olfactory Receptor Neurons/physiology, Biological Evolution, Olfactory Pathways/anatomy & histology, Olfactory Pathways/physiology, Receptors, Odorant/metabolism, Receptors, Odorant/genetics, Drosophila Proteins/metabolism, Drosophila Proteins/genetics, Drosophila melanogaster, Antennal Lobe, Olfaction, Olfactory Receptor, Sensory Neuron |
| Description: | The Drosophila melanogaster olfactory system is one of the most intensively studied parts of the nervous system in any animal. Composed of ~50 independent olfactory neuron classes, with several associated hygrosensory and thermosensory pathways, it has been subject to diverse types of experimental analyses. However, synthesizing the available information is limited by the incomplete data and inconsistent nomenclature found in the literature. In this work, we first “complete” the peripheral sensory map through the identification of a previously uncharacterized antennal sensory neuron population expressing Or46aB, and the definition of an exceptional “hybrid” olfactory neuron class comprising functional Or and Ir receptors. Second, we survey developmental, anatomical, connectomic, functional, and evolutionary studies to generate an integrated dataset and associated visualizations of these sensory neuron pathways, creating an unprecedented resource. Third, we illustrate the utility of the dataset to reveal relationships between different organizational properties of this sensory system, and the new questions these stimulate. Such examples emphasize the power of this resource to promote further understanding of the construction, function, and evolution of these neural circuits. |
| Document Type: | Article Other literature type |
| File Description: | application/pdf |
| Language: | English |
| ISSN: | 1469-3178 |
| DOI: | 10.1038/s44319-025-00476-8 |
| DOI: | 10.1101/2025.01.16.632927 |
| Access URL: | https://pubmed.ncbi.nlm.nih.gov/40389758 http://nbn-resolving.org/urn/resolver.pl?urn=urn:nbn:ch:serval-BIB_965D8362F26A1 https://serval.unil.ch/notice/serval:BIB_965D8362F26A https://serval.unil.ch/resource/serval:BIB_965D8362F26A.P001/REF.pdf |
| Rights: | CC BY CC BY ND URL: http://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (http://creativecommons.org/licenses/by/4.0/) . Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data associated with this article, unless otherwise stated in a credit line to the data, but does not extend to the graphical or creative elements of illustrations, charts, or figures. This waiver removes legal barriers to the re-use and mining of research data. According to standard scholarly practice, it is recommended to provide appropriate citation and attribution whenever technically possible. URL: http://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (http://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
| Accession Number: | edsair.doi.dedup.....3a38356acbce1c33371cfac0e432696c |
| Database: | OpenAIRE |
| ISSN: | 14693178 |
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| DOI: | 10.1038/s44319-025-00476-8 |