Literature DB >> 15138735

Why are insect olfactory receptor neurons grouped into sensilla? The teachings of a model investigating the effects of the electrical interaction between neurons on the transepithelial potential and the neuronal transmembrane potential.

Arthur Vermeulen1, Jean-Pierre Rospars.   

Abstract

Insect olfactory receptor neurons are compartmentalized in sensilla. In a sensillum, typically two receptor neurons are in close contact and can influence each other through electrical interaction during stimulation. This interaction is passive, non-synaptic and a consequence of the electrical structure of the sensillum. It is analysed in a sensillum model and its effects on the neuron receptor potentials are investigated. The neurons in a sensillum can be both sensitive to a given odorant compound with the same sensory threshold or with different thresholds, or only one neuron be sensitive to the odorant. These three types of sensilla are compared with respect to maximum amplitude, threshold and dynamic range of the potentials. It is found that gathering neurons in the same sensillum is disadvantageous if they are identical, but can be advantageous if their thresholds differ. Application of these results to actual recordings from pheromone and food-odour olfactory sensilla is discussed.

Mesh:

Year:  2004        PMID: 15138735     DOI: 10.1007/s00249-004-0405-4

Source DB:  PubMed          Journal:  Eur Biophys J        ISSN: 0175-7571            Impact factor:   1.733


  13 in total

1.  Membrane potential and its electrode-recorded counterpart in an electrical model of an olfactory sensillum.

Authors:  A Vermeulen; J P Rospars
Journal:  Eur Biophys J       Date:  2001       Impact factor: 1.733

Review 2.  Olfactory reception in invertebrates.

Authors:  J Krieger; H Breer
Journal:  Science       Date:  1999-10-22       Impact factor: 47.728

3.  Olfactory perireceptor and receptor events in moths: a kinetic model.

Authors:  K E Kaissling
Journal:  Chem Senses       Date:  2001-02       Impact factor: 3.160

4.  Relation between stimulus and response in frog olfactory receptor neurons in vivo.

Authors:  Jean-Pierre Rospars; Petr Lánský; André Duchamp; Patricia Duchamp-Viret
Journal:  Eur J Neurosci       Date:  2003-09       Impact factor: 3.386

5.  A simple analytical method for determining the steady-state potential in models of geometrically complex neurons.

Authors:  A Vermeulen; J P Rospars
Journal:  J Neurosci Methods       Date:  1998-08-01       Impact factor: 2.390

Review 6.  Information coding in the vertebrate olfactory system.

Authors:  L B Buck
Journal:  Annu Rev Neurosci       Date:  1996       Impact factor: 12.449

7.  Dendritic integration in olfactory sensory neurons: a steady-state analysis of how the neuron structure and neuron environment influence the coding of odor intensity.

Authors:  A Vermeulen; J P Rospars
Journal:  J Comput Neurosci       Date:  1998-07       Impact factor: 1.621

8.  Coding of odor intensity in a steady-state deterministic model of an olfactory receptor neuron.

Authors:  J P Rospars; P Lánský; H C Tuckwell; A Vermeulen
Journal:  J Comput Neurosci       Date:  1996-03       Impact factor: 1.621

9.  Neurophysiology and neuroanatomy of the olfactory pathway in the cockroach.

Authors:  J Boeckh; K D Ernst; P Selsam
Journal:  Ann N Y Acad Sci       Date:  1987       Impact factor: 5.691

10.  Peripheral coding of bitter taste in Drosophila.

Authors:  Nicolas Meunier; Frédéric Marion-Poll; Jean-Pierre Rospars; Teiichi Tanimura
Journal:  J Neurobiol       Date:  2003-08
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  10 in total

1.  Olfaction: Intimate neuronal whispers.

Authors:  Kazumichi Shimizu; Mark Stopfer
Journal:  Nature       Date:  2012-11-21       Impact factor: 49.962

2.  Complementary function and integrated wiring of the evolutionarily distinct Drosophila olfactory subsystems.

Authors:  Ana F Silbering; Raphael Rytz; Yael Grosjean; Liliane Abuin; Pavan Ramdya; Gregory S X E Jefferis; Richard Benton
Journal:  J Neurosci       Date:  2011-09-21       Impact factor: 6.167

3.  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

4.  Asymmetric ephaptic inhibition between compartmentalized olfactory receptor neurons.

Authors:  Ye Zhang; Tin Ki Tsang; Eric A Bushong; Li-An Chu; Ann-Shyn Chiang; Mark H Ellisman; Jürgen Reingruber; Chih-Ying Su
Journal:  Nat Commun       Date:  2019-04-05       Impact factor: 14.919

5.  Non-synaptic interactions between olfactory receptor neurons, a possible key feature of odor processing in flies.

Authors:  Mario Pannunzi; Thomas Nowotny
Journal:  PLoS Comput Biol       Date:  2021-12-13       Impact factor: 4.475

6.  Non-synaptic inhibition between grouped neurons in an olfactory circuit.

Authors:  Chih-Ying Su; Karen Menuz; Johannes Reisert; John R Carlson
Journal:  Nature       Date:  2012-11-21       Impact factor: 49.962

7.  Weaker ligands can dominate an odor blend due to syntopic interactions.

Authors:  Daniel Münch; Benjamin Schmeichel; Ana F Silbering; C Giovanni Galizia
Journal:  Chem Senses       Date:  2013-01-10       Impact factor: 3.160

Review 8.  Olfactory coding in the insect brain: data and conjectures.

Authors:  C Giovanni Galizia
Journal:  Eur J Neurosci       Date:  2014-04-03       Impact factor: 3.386

9.  Stereotyped Combination of Hearing and Wind/Gravity-Sensing Neurons in the Johnston's Organ of Drosophila.

Authors:  Yuki Ishikawa; Mao Fujiwara; Junlin Wong; Akari Ura; Azusa Kamikouchi
Journal:  Front Physiol       Date:  2020-01-08       Impact factor: 4.566

10.  Parallel Processing of Olfactory and Mechanosensory Information in the Honey Bee Antennal Lobe.

Authors:  Ettore Tiraboschi; Luana Leonardelli; Gianluca Segata; Albrecht Haase
Journal:  Front Physiol       Date:  2021-12-07       Impact factor: 4.566

  10 in total

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