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Citation
Ray, A., van Naters, W.G., Carlson, J.R. (2014). Molecular determinants of odorant receptor function in insects.  J. Biosci., Bangalore 39(4): 555--563.
FlyBase ID
FBrf0225915
Publication Type
Research paper
Abstract
The olfactory system of Drosophila melanogaster provides a powerful model to study molecular and cellular mechanisms underlying function of a sensory system. In the 1970s Siddiqi and colleagues pioneered the application of genetics to olfactory research and isolated several mutant Drosophila with odorant-specific defects in olfactory behaviour, suggesting that odorants are detected differentially by the olfactory system. Since then basic principles of olfactory system function and development have emerged using Drosophila as a model. Nearly four decades later we can add computational methods to further our understanding of how specific odorants are detected by receptors. Using a comparative approach we identify two categories of short amino acid sequence motifs: ones that are conserved family-wide predominantly in the C-terminal half of most receptors, and ones that are present in receptors that detect a specific odorant, 4-methylphenol, found predominantly in the N-terminal half. The odorant-specific sequence motifs are predictors of phenol detection in Anopheles gambiae and other insects, suggesting they are likely to participate in odorant binding. Conversely, the family-wide motifs are expected to participate in shared functions across all receptors and a mutation in the most conserved motif leads to a reduction in odor response. These findings lay a foundation for investigating functional domains within odorant receptors that can lead to a molecular understanding of odor detection.
PubMed ID
PubMed Central ID
PMC4385708 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    J. Biosci., Bangalore
    Title
    Journal of Biosciences
    Publication Year
    1979-
    ISBN/ISSN
    0250-5991
    Data From Reference
    Aberrations (2)
    Alleles (5)
    Genes (4)
    Natural transposons (1)
    Experimental Tools (3)
    Transgenic Constructs (5)