2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft
2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft
2. Behavioral Biology TALKS - Deutsche Zoologische Gesellschaft
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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 />
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