Mating-driven variability in olfactory local interneuron wiring.
View / Open Files
Authors
Liang, Liang
Publication Date
2022-02-18Journal Title
Sci Adv
ISSN
2375-2548
Publisher
American Association for the Advancement of Science (AAAS)
Volume
8
Issue
7
Language
eng
Type
Article
This Version
VoR
Metadata
Show full item recordCitation
Chou, Y., Yang, C., Huang, H., Liou, N., Panganiban, M. R., Luginbuhl, D., Yin, Y., et al. (2022). Mating-driven variability in olfactory local interneuron wiring.. Sci Adv, 8 (7) https://doi.org/10.1126/sciadv.abm7723
Abstract
Variations in neuronal connectivity occur widely in nervous systems from invertebrates to mammals. Yet, it is unclear how neuronal variability originates, to what extent and at what time scales it exists, and what functional consequences it might carry. To assess inter- and intraindividual neuronal variability, it would be ideal to analyze the same identified neuron across different brain hemispheres and individuals. Here, using genetic labeling and electron microscopy connectomics, we show that an identified inhibitory olfactory local interneuron, TC-LN, exhibits extraordinary variability in its glomerular innervation patterns. Moreover, TC-LN's innervation of the VL2a glomerulus, which processes food signals and modulates mating behavior, is sexually dimorphic, is influenced by female's courtship experience, and correlates with food intake in mated females. Mating also affects output connectivity of TC-LN to specific local interneurons. We propose that mating-associated variability of TC-LNs regulates how food odor is interpreted by an inhibitory network to modulate feeding.
Keywords
Neurosciences, Neurological
Sponsorship
Wellcome Trust (203261/Z/16/Z)
Identifiers
35179957, PMC8856614
External DOI: https://doi.org/10.1126/sciadv.abm7723
This record's URL: https://www.repository.cam.ac.uk/handle/1810/335278
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk