TY - JOUR
T1 - Odorant mixtures elicit less variable and faster responses than pure odorants
AU - Chan, Ho Ka
AU - Hersperger, Fabian
AU - Marachlian, Emiliano
AU - Smith, Brian
AU - Locatelli, Fernando
AU - Szyszka, Paul
AU - Nowotny, Thomas
N1 - Publisher Copyright:
© 2018 Chan et al. http://creativecommons.org/licenses/by/4.0/.
PY - 2018/12
Y1 - 2018/12
N2 - In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simulations and physiological recordings in the olfactory system of insects. Our results suggest that mixtures allow faster and more reliable olfactory coding, which could be one of the reasons why animals often use mixtures in chemical signaling.
AB - In natural environments, odors are typically mixtures of several different chemical compounds. However, the implications of mixtures for odor processing have not been fully investigated. We have extended a standard olfactory receptor model to mixtures and found through its mathematical analysis that odorant-evoked activity patterns are more stable across concentrations and first-spike latencies of receptor neurons are shorter for mixtures than for pure odorants. Shorter first-spike latencies arise from the nonlinear dependence of binding rate on odorant concentration, commonly described by the Hill coefficient, while the more stable activity patterns result from the competition between different ligands for receptor sites. These results are consistent with observations from numerical simulations and physiological recordings in the olfactory system of insects. Our results suggest that mixtures allow faster and more reliable olfactory coding, which could be one of the reasons why animals often use mixtures in chemical signaling.
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U2 - 10.1371/journal.pcbi.1006536
DO - 10.1371/journal.pcbi.1006536
M3 - Article
C2 - 30532147
AN - SCOPUS:85058602590
SN - 1553-734X
VL - 14
JO - PLoS computational biology
JF - PLoS computational biology
IS - 12
M1 - e1006536
ER -