Encoding of odors by mammalian olfactory receptors
Vihani, A.; Nagai, M. H.; Juan, C.; de March, C. A.; Hu, X. S.; Pearson, J.; Matsunami, H.
Show abstract
O_LIIdentified ligands for > 500 mouse ORs C_LIO_LIORs are specifically tuned towards individual odorants and their molecular properties C_LIO_LIOdor molecular properties are informative of odor responses C_LIO_LIPredictive modeling and convergent evolution analyses suggest specific residues within a canonical location for odorant binding C_LI Olfactory receptors (ORs) constitute the largest multi-gene family in the mammalian genome, with hundreds to thousands of loci in humans and mice respectively1. The rapid expansion of this massive family of genes has been generated by numerous duplication and diversification events throughout evolutionary history. This size, similarity, and diversity has made it challenging to define the principles by which ORs encode olfactory stimuli. Here, we performed a broad surveying of OR responses, using an in vivo strategy, against a diverse panel of odorants. We then used the resulting interaction profiles to uncover relationships between OR responses, odorants, odor molecular properties, and OR sequences. Our data and analyses revealed that ORs generally exhibited sparse tuning towards odorants and their molecular properties. Odor molecular property similarity between pairs of odorants was informative of odor response similarity. Finally, ORs sharing response to an odorant possessed amino acids at poorly conserved sites that exhibited both, predictive power towards odorant selectivity and convergent evolution. The localization of these residues occurred primarily at the interface of the upper halves of the transmembrane domains, implying that canonical positions govern odor selectivity across ORs. Altogether, our results provide a basis for translating odorants into receptor neuron responses for the unraveling of mammalian odor coding.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Metabolic activity organizes olfactory representations 96%
- Mapping odorant sensitivities reveals a sparse but structured representation of olfactory chemical space by sensory input to the mouse olfactory bulb. 94%
- Response outcome gates the effect of spontaneous cortical state fluctuations on perceptual decisions 94%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.