Literature DB >> 18674907

Double dissociation of PKC and AC manipulations on operant and classical learning in Drosophila.

Björn Brembs1, Wolfgang Plendl.   

Abstract

Learning about relationships between stimuli (i.e., classical conditioning [1]) and learning about consequences of one's own behavior (i.e., operant conditioning [2]) constitute the major part of our predictive understanding of the world. Since these forms of learning were recognized as two separate types 80 years ago [3], a recurrent concern has been the issue of whether one biological process can account for both of them [4, 5, 6, 7, 8, 9]. Today, we know the anatomical structures required for successful learning in several different paradigms, e.g., operant and classical processes can be localized to different brain regions in rodents [9] and an identified neuron in Aplysia shows opposite biophysical changes after operant and classical training, respectively [5]. We also know to some detail the molecular mechanisms underlying some forms of learning and memory consolidation. However, it is not known whether operant and classical learning can be distinguished at the molecular level. Therefore, we investigated whether genetic manipulations could differentiate between operant and classical learning in Drosophila. We found a double dissociation of protein kinase C and adenylyl cyclase on operant and classical learning. Moreover, the two learning systems interacted hierarchically such that classical predictors were learned preferentially over operant predictors.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18674907     DOI: 10.1016/j.cub.2008.07.041

Source DB:  PubMed          Journal:  Curr Biol        ISSN: 0960-9822            Impact factor:   10.834


  20 in total

Review 1.  Associative learning in invertebrates.

Authors:  Robert D Hawkins; John H Byrne
Journal:  Cold Spring Harb Perspect Biol       Date:  2015-04-15       Impact factor: 10.005

2.  Cyclic adenosine monophosphate metabolism in synaptic growth, strength, and precision: neural and behavioral phenotype-specific counterbalancing effects between dnc phosphodiesterase and rut adenylyl cyclase mutations.

Authors:  Atsushi Ueda; Chun-Fang Wu
Journal:  J Neurogenet       Date:  2012-03-01       Impact factor: 1.250

3.  Distinct molecular underpinnings of Drosophila olfactory trace conditioning.

Authors:  Yichun Shuai; Ying Hu; Hongtao Qin; Robert A A Campbell; Yi Zhong
Journal:  Proc Natl Acad Sci U S A       Date:  2011-11-28       Impact factor: 11.205

4.  The biology of psychology: 'Simple' conditioning?

Authors:  Julien Colomb; Björn Brembs
Journal:  Commun Integr Biol       Date:  2010-03

Review 5.  Short-term memories in Drosophila are governed by general and specific genetic systems.

Authors:  Troy Zars
Journal:  Learn Mem       Date:  2010-04-23       Impact factor: 2.460

6.  Attention-like deficit and hyperactivity in a Drosophila memory mutant.

Authors:  Bruno van Swinderen; Björn Brembs
Journal:  J Neurosci       Date:  2010-01-20       Impact factor: 6.167

7.  A conserved role for sleep in supporting Spatial Learning in Drosophila.

Authors:  Krishna Melnattur; Leonie Kirszenblat; Ellen Morgan; Valentin Militchin; Blake Sakran; Denis English; Rushi Patel; Dorothy Chan; Bruno van Swinderen; Paul J Shaw
Journal:  Sleep       Date:  2021-03-12       Impact factor: 5.849

8.  Writing memories with light-addressable reinforcement circuitry.

Authors:  Adam Claridge-Chang; Robert D Roorda; Eleftheria Vrontou; Lucas Sjulson; Haiyan Li; Jay Hirsh; Gero Miesenböck
Journal:  Cell       Date:  2009-10-16       Impact factor: 41.582

Review 9.  Cellular and circuit mechanisms of olfactory associative learning in Drosophila.

Authors:  Tamara Boto; Aaron Stahl; Seth M Tomchik
Journal:  J Neurogenet       Date:  2020-02-11       Impact factor: 1.250

10.  Effect of circadian phase on memory acquisition and recall: operant conditioning vs. classical conditioning.

Authors:  Madeleine V Garren; Stephen B Sexauer; Terry L Page
Journal:  PLoS One       Date:  2013-03-22       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.