Literature DB >> 9530975

Flux detectors versus concentration detectors: two types of chemoreceptors.

K E Kaissling1.   

Abstract

Dose-response curves relating the external stimulus concentration to receptor occupancy differ in two types of chemoreceptor organs. In 'concentration detectors' the receptor molecules at the receptor cell membrane are directly exposed to the external stimulus concentration; these organs exhibit the well-known hyperbolic dose-response relationship reflecting the association-dissociation of stimulus and receptor molecules. In contrast, 'flux detectors' accumulate the stimulus molecules in a perireceptor compartment. In flux detectors, deactivation of stimulus molecules may be in balance with arrival, as a prerequisite for producing a constant effective stimulus concentration at constant adsorptive flux of stimulus molecules. In a simple model of a flux detector in which receptor molecules themselves catalyze the deactivation, the dose-response relationship is linear. It reflects the rate of stimulus deactivation. If the deactivation is catalyzed by a separate enzyme, the dose-response relationship can be close to hyperbolic, or linear. In all cases, the receptor molecules are maximally occupied if the adsorptive flux equals or exceeds the maximum rate of stimulus deactivation. The time course of the receptor potential recorded from moths' pheromone receptors depends on the odor compound, which suggests that a peripheral process, possibly the stimulus deactivation, is the slowest, rate-limiting process of the transduction cascade. Further evidence comes from experiments with stimuli oversaturating the mechanism responsible for the decline of the receptor potential.

Mesh:

Substances:

Year:  1998        PMID: 9530975     DOI: 10.1093/chemse/23.1.99

Source DB:  PubMed          Journal:  Chem Senses        ISSN: 0379-864X            Impact factor:   3.160


  13 in total

Review 1.  Recent advances in insect olfaction, specifically regarding the morphology and sensory physiology of antennal sensilla of the female sphinx moth Manduca sexta.

Authors:  V D Shields; J G Hildebrand
Journal:  Microsc Res Tech       Date:  2001-12-01       Impact factor: 2.769

2.  Distinct signaling of Drosophila chemoreceptors in olfactory sensory neurons.

Authors:  Li-Hui Cao; Bi-Yang Jing; Dong Yang; Xiankun Zeng; Ying Shen; Yuhai Tu; Dong-Gen Luo
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-01       Impact factor: 11.205

3.  Transduction in Drosophila olfactory receptor neurons is invariant to air speed.

Authors:  Yi Zhou; Rachel I Wilson
Journal:  J Neurophysiol       Date:  2012-07-18       Impact factor: 2.714

4.  Olfactory modulation of flight in Drosophila is sensitive, selective and rapid.

Authors:  Vikas Bhandawat; Gaby Maimon; Michael H Dickinson; Rachel I Wilson
Journal:  J Exp Biol       Date:  2010-11-01       Impact factor: 3.312

Review 5.  Olfactory perireceptor and receptor events in moths: a kinetic model revised.

Authors:  Karl-Ernst Kaissling
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2009-08-21       Impact factor: 1.836

Review 6.  Kinetics of olfactory responses might largely depend on the odorant-receptor interaction and the odorant deactivation postulated for flux detectors.

Authors:  Karl-Ernst Kaissling
Journal:  J Comp Physiol A Neuroethol Sens Neural Behav Physiol       Date:  2013-04-07       Impact factor: 1.836

7.  Dynamical modeling of the moth pheromone-sensitive olfactory receptor neuron within its sensillar environment.

Authors:  Yuqiao Gu; Jean-Pierre Rospars
Journal:  PLoS One       Date:  2011-03-02       Impact factor: 3.240

8.  Biophysical mechanisms underlying olfactory receptor neuron dynamics.

Authors:  Katherine I Nagel; Rachel I Wilson
Journal:  Nat Neurosci       Date:  2011-01-09       Impact factor: 24.884

9.  Computational model of the insect pheromone transduction cascade.

Authors:  Yuqiao Gu; Philippe Lucas; Jean-Pierre Rospars
Journal:  PLoS Comput Biol       Date:  2009-03-20       Impact factor: 4.475

10.  Efficient olfactory coding in the pheromone receptor neuron of a moth.

Authors:  Lubomir Kostal; Petr Lansky; Jean-Pierre Rospars
Journal:  PLoS Comput Biol       Date:  2008-04-25       Impact factor: 4.475

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.