Literature DB >> 24833133

Bitter-sweet processing in larval Drosophila.

Christian König1, Michael Schleyer2, Judith Leibiger2, Amira El-Keredy3, Bertram Gerber4.   

Abstract

"Sweet-" and "bitter-" tasting substances distinctively support attractive and aversive choice behavior, respectively, and therefore are thought to be processed by distinct pathways. Interestingly, electrophysiological recordings in adult Drosophila suggest that bitter and salty tastants, in addition to activating bitter, salt, or bitter/salt sensory neurons, can also inhibit sweet-sensory neurons. However, the behavioral significance of such a potential for combinatorial coding is little understood. Using larval Drosophila as a study case, we find that the preference towards fructose is inhibited when assayed in the background of the bitter tastant quinine. When testing the influence of quinine on the preference to other, equally preferred sweet tastants, we find that these sweet tastants differ in their susceptibility to be inhibited by quinine. Such stimulus specificity argues that the inhibitory effect of quinine is not due to general effects on locomotion or nausea. In turn, not all bitter tastants have the same potency to inhibit sweet preference; notably, their inhibitory potency is not determined by the strength of the avoidance of them. Likewise, equally avoided concentrations of sodium chloride differ in their potency to inhibit sugar preference. Furthermore, Gr33a-Gal4-positive neurons, while being necessary for bitter avoidance, are dispensable for inhibition of the sweet pathway. Thus, interactions across taste modalities are behaviorally significant and, as we discuss, arguably diverse in mechanism. These results suggest that the coding of tastants and the organization of gustatory behavior may be more combinatorial than is generally acknowledged.
© The Author 2014. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  Drosophila; bitter; combinatorial coding; inhibition; sweet; taste

Mesh:

Substances:

Year:  2014        PMID: 24833133     DOI: 10.1093/chemse/bju016

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


  7 in total

Review 1.  Molecular neurobiology of Drosophila taste.

Authors:  Erica Gene Freeman; Anupama Dahanukar
Journal:  Curr Opin Neurobiol       Date:  2015-06-21       Impact factor: 6.627

2.  Optogenetic and thermogenetic manipulation of defined neural circuits and behaviors in Drosophila.

Authors:  Takato Honda
Journal:  Learn Mem       Date:  2022-03-24       Impact factor: 2.460

3.  Learning the specific quality of taste reinforcement in larval Drosophila.

Authors:  Michael Schleyer; Daisuke Miura; Teiichi Tanimura; Bertram Gerber
Journal:  Elife       Date:  2015-01-27       Impact factor: 8.140

4.  Caffeine Taste Signaling in Drosophila Larvae.

Authors:  Anthi A Apostolopoulou; Saskia Köhn; Bernhard Stehle; Michael Lutz; Alexander Wüst; Lorena Mazija; Anna Rist; C Giovanni Galizia; Alja Lüdke; Andreas S Thum
Journal:  Front Cell Neurosci       Date:  2016-08-09       Impact factor: 5.505

5.  Multimodal stimulus coding by a gustatory sensory neuron in Drosophila larvae.

Authors:  Lena van Giesen; Luis Hernandez-Nunez; Sophie Delasoie-Baranek; Martino Colombo; Philippe Renaud; Rémy Bruggmann; Richard Benton; Aravinthan D T Samuel; Simon G Sprecher
Journal:  Nat Commun       Date:  2016-02-11       Impact factor: 14.919

6.  Cellular Basis of Bitter-Driven Aversive Behaviors in Drosophila Larva.

Authors:  Jaekyun Choi; Seungyun Yu; Min Sung Choi; Sooin Jang; I Joon Han; G Larisa Maier; Simon G Sprecher; Jae Young Kwon
Journal:  eNeuro       Date:  2020-04-24

7.  Associative learning in larval and adult Drosophila is impaired by the dopamine-synthesis inhibitor 3-Iodo-L-tyrosine.

Authors:  Juliane Thoener; Christian König; Aliće Weiglein; Naoko Toshima; Nino Mancini; Fatima Amin; Michael Schleyer
Journal:  Biol Open       Date:  2021-06-09       Impact factor: 2.643

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.