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Olfactory receptor responses to pure odorants in Drosophila melanogaster
  • Alja Lüdke,
  • Ajayrama Kumaraswamy,
  • C Giovanni Galizia
Alja Lüdke
University of Konstanz
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Ajayrama Kumaraswamy
University of Konstanz
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C Giovanni Galizia
University of Konstanz

Corresponding Author:[email protected]

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Abstract

Olfactory coding relies on primary information from olfactory receptor cells, that respond to volatile airborne substances. Despite of extensive efforts, our understanding of odor-response profiles across receptors is still poor, due to the vast number of possible ligands (odorants), the high sensitivity even to trace compounds (creating false positive responses), and the diversity of olfactory receptors. Here, we linked chemical purification with a gas chromatograph to single-receptor type recording with transgenic flies using calcium imaging to record olfactory responses to a large panel of chemicals in 7 Drosophila ORs: Or10a, Or13a, Or22a, Or42b, Or47a, Or56a, Or92a. We analyze the data using linear-non-linear modeling, and reveal that most receptors have “simple” response types (mostly positive: Or10a, Or13a, Or22a, Or47a, Or56a). However, two receptors (Or42b, Or92a) have, in addition to “simple” responses, “complex” response types to some ligands, either positive with a negative rebound, or negative with a positive rebound, suggesting the presence of multiple binding sites and/or transduction cascades. We show that some ligands reported in the literature are false positives, due to contaminations in the stimulus. We record all stimuli across concentrations, showing that at different concentrations different substances appear as best ligands. Our data show that studying combinatorial olfactory coding must consider temporal response properties, and is strongly influenced by the presence of trace amounts of ligands (contaminations) in the samples. These observations have important repercussions for our thinking about how animals navigate their olfactory environment.
26 Nov 2024Submitted to European Journal of Neuroscience
29 Nov 2024Submission Checks Completed
29 Nov 2024Assigned to Editor
01 Dec 2024Review(s) Completed, Editorial Evaluation Pending
01 Dec 2024Reviewer(s) Assigned