06.02.2013 Views

2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft

2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft

2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Preliminary data shows that the BeeQ correlates well with learning indices obtained<br />

from conventional conditioning methods. Thus, the advantages of this automatic<br />

system makes it ideal for assessing learning rates in a standardized and convenient<br />

way, and its flexibility adds to our toolbox for studying mechanisms behind learning<br />

and memory.<br />

Vergoz V, Roussel E, Sandoz JC, Giurfa M. 2007. Aversive learning in honeybees revealed by the<br />

olfactory conditioning of the sting extension reflex. PLos One 2: e288. doi:<br />

10.1371/journal.pone.0000288.<br />

Kuwabara M. 1957. Bildung des bedingten Reflexes von Pavlovs Typus bei der Honigbiene Apis<br />

mellifica. Hokkaido Univ Zool J Fac Sci 13:458-464.<br />

����156 Thomas Laudes<br />

New data for the Database of Odorant responses - DoOR<br />

Authors: Thomas Laudes 1 , Daniel Münch 1 , Jennifer Ignatious Raja 1 , C. Giovanni<br />

Galizia 1<br />

Affiliation: 1 University of Konstanz<br />

In the olfactory world, organisms have to deal with thousands of different odorants<br />

and have evolved sophisticated chemical olfactory systems to perform this task.<br />

These systems differentiate meaningful stimuli from background thereby enabling a<br />

given animal to locate and navigate even in a turbulent surrounding to a food source<br />

or find mating partners. The coding of thousands of different odorants with a<br />

relatively low number of input channels is achieved by an ensemble response that<br />

arises due to activation of an individual set of olfactory sensory neurons (OSN) by a<br />

particular odorant. Each OSN is expressing a given olfactory receptor (OR) which<br />

defines its sensitivity to a set of odorants. In order to decipher the olfactory code one<br />

would ideally want to know all of these response profiles, the so called olfactome. Of<br />

all olfactory systems, that of Drosophila melanogaster is the one in which most<br />

receptor ? ligand combinations are already measured. But there are still some OSNs<br />

which were only tested with a few ligands so far or are not even characterized yet.<br />

Here we present response profiles of the four Drosophila Ors Or10a, Or42b, Or56a<br />

and Or 69a. We measured calcium concentration changes directly in the antenna of<br />

genetically modified flies which expressed the calcium sensor G-CaMP exclusively in<br />

Or10a, Or42b, Or56a and Or69a carrying neurons. Among the best ligands for Or69a<br />

we found 4-Methylphenol, a-Terpineole, ß-Citronellol and Ethyl-3-hydroxyhexanoate.<br />

For Or56a we found both, strong excitatory and inhibitory responses. (1R)-(?)-<br />

Fenchone and ?-Ionone, being the two best excitatory ligands and 2,3-butanedione<br />

and ethanoic acid leading to strong inhibitory responses. The response profile of<br />

Or42b revealed 3-Octanol, Linalool and 2-Heptanol as inhibitory stimuli and 3-<br />

Hexanone, Ethyl-3-hydroxybutanoate and 3-Pentene-2-one as excitatory ligands. For<br />

Or10a we found Methyl tiglate and Ethyl tiglate as strong excitatory ligands, 2-<br />

Propylphenol and Isoeugenol elicit inhibitory responses.<br />

This new data will be included into DoOR, the Database of Odorant Responses, an<br />

open access database (http://neuro.uni.kn/DoOR). DoOR is able to integrate<br />

heterogeneous data-sets from different labs and no matter what technique was used<br />

for measuring them (e.g. action potentials, calcium influx or in situ measurements vs.<br />

heterologous expression), thereby getting one step closer to the complete olfactome.<br />

175

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!