Publication: Functional Organization of a Neural Network for Aversive Olfactory Learning in Caenorhabditis elegans
Open/View Files
Date
2010
Published Version
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier
The Harvard community has made this article openly available. Please share how this access benefits you.
Citation
Ha, Heon-ick, Michael Shelton Hendricks, Yu Serena Shen, Christopher V. Gabel, Christopher M. Fang-Yen, Yuqi Qin, Daniel Colón-Ramos, Kang Shen, Aravinthan D. T. Samuel, and Yun Zhang. 2010. Functional organization of a neural network for aversive olfactory learning in Caenorhabditis elegans. 68(6): 1173-1186.
Research Data
Abstract
Many animals use their olfactory systems to learn to avoid dangers, but how neural circuits encode naive and learned olfactory preferences, and switch between those preferences, is poorly understood. Here, we map an olfactory network, from sensory input to motor output, which regulates the learned olfactory aversion of Caenorhabditis elegans for the smell of pathogenic bacteria. Naive animals prefer smells of pathogens but animals trained with pathogens lose this attraction. We find that two different neural circuits subserve these preferences, with one required for the naive preference and the other specifically for the learned preference. Calcium imaging and behavioral analysis reveal that the naive preference reflects the direct transduction of the activity of olfactory sensory neurons into motor response, whereas the learned preference involves modulations to signal transduction to downstream neurons to alter motor response. Thus, two different neural circuits regulate a behavioral switch between naive and learned olfactory preferences.
Description
Other Available Sources
Keywords
Terms of Use
This article is made available under the terms and conditions applicable to Open Access Policy Articles (OAP), as set forth at Terms of Service