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Subdivision of the drosophila mushroom bodies by enhancer-trap expression patterns
- Source :
- Neuron. (1):45-54
-
Abstract
- Phylogenetically conserved brain centers known as mushroom bodies are implicated in insect associative learning and in several other aspects of insect behavior. Kenyon cells, the intrinsic neurons of mushroom bodies, have been generally considered to be disposed as homogenous arrays. Such a simple picture imposes constraints on interpreting the diverse behavioral and computational properties that mushroom bodies are supposed to perform. Using a P[GAL4] enhancer-trap approach, we have revealed axonal processes corresponding to intrinsic cells of the Drosophila mushroom bodies. Rather than being homogenous, we find the Drosophila mushroom bodies to be compound neuropils in which parallel subcomponents exhibit discrete patterns of gene expression. Different patterns correspond to hitherto unobserved differences in Kenyon cell trajectory and placement. On the basis of this unexpected complexity, we propose a model for mushroom body function in which parallel channels of information flow, perhaps with different computational properties, subserve different behavioral roles.
- Subjects :
- Silver Staining
Kenyon cell
animal structures
media_common.quotation_subject
Neuroscience(all)
Gene Expression
Insect
Biology
Nervous System
03 medical and health sciences
0302 clinical medicine
Neural Pathways
Enhancer trap
Animals
Nervous System Physiological Phenomena
Promoter Regions, Genetic
Drosophila
030304 developmental biology
media_common
0303 health sciences
Communication
business.industry
General Neuroscience
fungi
biology.organism_classification
Immunohistochemistry
Expression (mathematics)
Associative learning
Galactosidases
Ganglia, Invertebrate
Drosophila melanogaster
Enhancer Elements, Genetic
nervous system
Mushroom bodies
business
Neuroscience
030217 neurology & neurosurgery
Function (biology)
Subjects
Details
- Language :
- English
- ISSN :
- 08966273
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Neuron
- Accession number :
- edsair.doi.dedup.....5844f7b76a0c8941d3e29fe294833588
- Full Text :
- https://doi.org/10.1016/0896-6273(95)90063-2