Local synaptic inputs support opposing, network-specific odor representations in a widely projecting modulatory neuron Article Swipe
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· 2019
· Open Access
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· DOI: https://doi.org/10.7554/elife.46839
Serotonin plays different roles across networks within the same sensory modality. Previously, we used whole-cell electrophysiology in Drosophila to show that serotonergic neurons innervating the first olfactory relay are inhibited by odorants (Zhang and Gaudry, 2016). Here we show that network-spanning serotonergic neurons segregate information about stimulus features, odor intensity and identity, by using opposing coding schemes in different olfactory neuropil. A pair of serotonergic neurons (the CSDns) innervate the antennal lobe and lateral horn, which are first and second order neuropils. CSDn processes in the antennal lobe are inhibited by odors in an identity independent manner. In the lateral horn, CSDn processes are excited in an odor identity dependent manner. Using functional imaging, modeling, and EM reconstruction, we demonstrate that antennal lobe derived inhibition arises from local GABAergic inputs and acts as a means of gain control on branch-specific inputs that the CSDns receive within the lateral horn.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.7554/elife.46839
- OA Status
- gold
- Cited By
- 19
- References
- 76
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W2955890909
Raw OpenAlex JSON
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https://openalex.org/W2955890909Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.7554/elife.46839Digital Object Identifier
- Title
-
Local synaptic inputs support opposing, network-specific odor representations in a widely projecting modulatory neuronWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2019Year of publication
- Publication date
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2019-07-02Full publication date if available
- Authors
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Xiaonan Zhang, Kaylynn Coates, Andrew M. Dacks, Cengiz Günay, J. Scott Lauritzen, Feng Li, Steven A. Calle-Schuler, Davi D. Bock, Quentin GaudryList of authors in order
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https://doi.org/10.7554/elife.46839Publisher landing page
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://doi.org/10.7554/elife.46839Direct OA link when available
- Concepts
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Antennal lobe, Neuroscience, Neuropil, Serotonergic, Sensory system, Mushroom bodies, Stimulus (psychology), Biology, Olfactory system, Neuron, Odor, Psychology, Central nervous system, Serotonin, Drosophila melanogaster, Receptor, Gene, Psychotherapist, BiochemistryTop concepts (fields/topics) attached by OpenAlex
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19Total citation count in OpenAlex
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2025: 1, 2024: 1, 2023: 3, 2022: 3, 2021: 4Per-year citation counts (last 5 years)
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76Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.modeling, | 114 |
| abstract_inverted_index.neuropil. | 60 |
| abstract_inverted_index.olfactory | 26, 59 |
| abstract_inverted_index.processes | 83, 102 |
| abstract_inverted_index.segregate | 43 |
| abstract_inverted_index.Drosophila | 17 |
| abstract_inverted_index.functional | 112 |
| abstract_inverted_index.inhibition | 124 |
| abstract_inverted_index.neuropils. | 81 |
| abstract_inverted_index.whole-cell | 14 |
| abstract_inverted_index.Previously, | 11 |
| abstract_inverted_index.demonstrate | 119 |
| abstract_inverted_index.independent | 95 |
| abstract_inverted_index.information | 44 |
| abstract_inverted_index.innervating | 23 |
| abstract_inverted_index.serotonergic | 21, 41, 64 |
| abstract_inverted_index.branch-specific | 139 |
| abstract_inverted_index.reconstruction, | 117 |
| abstract_inverted_index.network-spanning | 40 |
| abstract_inverted_index.electrophysiology | 15 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 90 |
| corresponding_author_ids | https://openalex.org/A5057158857 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 9 |
| corresponding_institution_ids | https://openalex.org/I66946132 |
| citation_normalized_percentile.value | 0.81365654 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |