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Olfactory coding from the periphery to higher brain centers in the Drosophila brain

Overview of attention for article published in BMC Biology, June 2017
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Title
Olfactory coding from the periphery to higher brain centers in the Drosophila brain
Published in
BMC Biology, June 2017
DOI 10.1186/s12915-017-0389-z
Pubmed ID
Authors

Yoichi Seki, Hany K. M. Dweck, Jürgen Rybak, Dieter Wicher, Silke Sachse, Bill S. Hansson

Abstract

Odor information is processed through multiple receptor-glomerular channels in the first order olfactory center, the antennal lobe (AL), then reformatted into higher brain centers and eventually perceived by the fly. To reveal the logic of olfaction, it is fundamental to map odor representations from the glomerular channels into higher brain centers. We characterize odor response profiles of AL projection neurons (PNs) originating from 31 glomeruli using whole cell patch-clamp recordings in Drosophila melanogaster. We reveal that odor representation from olfactory sensory neurons to PNs is generally conserved, while transformation of odor tuning curves is glomerulus-dependent. Reconstructions of PNs reveal that attractive and aversive odors are represented in different clusters of glomeruli in the AL. These separate representations are preserved into higher brain centers, where attractive and aversive odors are segregated into two regions in the lateral horn and partly separated in the mushroom body calyx. Our study reveals spatial representation of odor valence coding from the AL to higher brain centers. These results provide a global picture of the olfactory circuit design underlying innate odor-guided behavior.

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The data shown below were compiled from readership statistics for 146 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 146 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 31%
Researcher 24 16%
Student > Master 12 8%
Student > Bachelor 10 7%
Other 8 5%
Other 22 15%
Unknown 25 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 47 32%
Neuroscience 46 32%
Biochemistry, Genetics and Molecular Biology 12 8%
Physics and Astronomy 5 3%
Computer Science 2 1%
Other 9 6%
Unknown 25 17%