The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
D1Dopamine Receptor dDA1 Is Required in the Mushroom Body Neurons for Aversive and Appetitive Learning in Drosophila
Open accessAbstract
Drosophila has robust behavioral plasticity to avoid or prefer the odor that predicts punishment or food reward, respectively. Both types of plasticity are mediated by the mushroom body (MB) neurons in the brain, in which various signaling molecules play crucial roles. However, important yet unresolved molecules are the receptors that initiate aversive or appetitive learning cascades in the MB. We have shown previously that D 1 dopamine receptor dDA1 is highly enriched in the MB neuropil. Here, we demonstrate that dDA1 is a key receptor that mediates both aversive and appetitive learning in pavlovian olfactory conditioning. We identified two mutants,dumb1and dumb2, with abnormal dDA1 expression. When trained with the same conditioned stimuli, both dumb alleles showed negligible learning in electric shock-mediated conditioning while they exhibited moderately impaired learning in sugar-mediated conditioning. These phenotypes were not attributable to anomalous sensory modalities of dumb mutants because their olfactory acuity, shock reactivity, and sugar preference were comparable to those of control lines. Remarkably, the dumb mutant's impaired performance in both paradigms was fully rescued by reinstating dDA1 expression in the same subset of MB neurons, indicating the critical roles of the MB dDA1 in aversive as well as appetitive learning. Previous studies using dopamine receptor antagonists implicate the involvement of D 1/D 5 receptors in various pavlovian conditioning tasks in mammals; however, these have not been supported by the studies of D 1- or D 5-deficient animals. The findings described here unambiguously clarify the critical roles of D 1 dopamine receptor in aversive and appetitive pavlovian conditioning.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Beck, C. D. O., Schroeder, B., & Davis, R. L. (2000) · The Journal of Neuroscience · doi:10.1523/jneurosci.20-08-02944.2000 · Cited by 120
Cited by
The neuronal architecture of the mushroom body provides a logic for associative learning
Aso, Y., Hattori, D., Yu, Y., Johnston, R. M., Iyer, N. A., Ngo, T.-T., Dionne, H., Abbott, L., Axel, R., Tanimoto, H., et al. (2014) · eLife · doi:10.7554/elife.04577 · Cited by 1,051
A Neural Circuit Mechanism Integrating Motivational State with Memory Expression in Drosophila
Krashes, M. J., DasGupta, S., Vreede, A., White, B., Armstrong, J. D., & Waddell, S. (2009) · Cell · doi:10.1016/j.cell.2009.08.035 · Cited by 598
Layered reward signalling through octopamine and dopamine in Drosophila
Burke, C. J., Huetteroth, W., Owald, D., Perisse, E., Krashes, M. J., Das, G., Gohl, D., Silies, M., Certel, S., & Waddell, S. (2012) · Nature · doi:10.1038/nature11614 · Cited by 614
Writing Memories with Light-Addressable Reinforcement Circuitry
Claridge-Chang, A., Roorda, R. D., Vrontou, E., Sjulson, L., Li, H., Hirsh, J., & Miesenböck, G. (2009) · Cell · doi:10.1016/j.cell.2009.08.034 · Cited by 484
Coordinated and compartmentalized neuromodulation shapes sensory processing in Drosophila
Cohn, R., Morantte, I., & Ruta, V. (2015) · Cell · doi:10.1016/j.cell.2015.11.019 · Cited by 430
Activity of Defined Mushroom Body Output Neurons Underlies Learned Olfactory Behavior in Drosophila
Owald, D., Felsenberg, J., Talbot, C. B., Das, G., Perisse, E., Huetteroth, W., & Waddell, S. (2015) · Neuron · doi:10.1016/j.neuron.2015.03.025 · Cited by 401
Heterosynaptic plasticity underlies aversive olfactory learning in Drosophila
Hige, T., Aso, Y., Modi, M. N., Rubin, G. M., & Turner, G. C. (2015) · Neuron · doi:10.1016/j.neuron.2015.11.003 · Cited by 354
A connectome of a learning and memory center in the adult Drosophila brain
Takemura, S.-Y., Aso, Y., Hige, T., Wong, A., Lu, Z., Xu, C. S., Rivlin, P. K., Hess, H., Zhao, T., Parag, T., et al. (2017) · eLife · doi:10.7554/elife.26975 · Cited by 367
Integration of Parallel Opposing Memories Underlies Memory Extinction
Felsenberg, J., Jacob, P. F., Walker, T., Barnstedt, O., Edmondson-Stait, A. J., Pleijzier, M. W., Otto, N., Schlegel, P., Sharifi, N., Perisse, E., et al. (2018) · Cell · doi:10.1016/j.cell.2018.08.021 · Cited by 247
Tsao, C.-H., Chen, C.-C., Lin, C.-H., Yang, H.-Y., & Lin, S. (2018) · eLife · doi:10.7554/elife.35264 · Cited by 214
Memory-Relevant Mushroom Body Output Synapses Are Cholinergic
Barnstedt, O., Owald, D., Felsenberg, J., Brain, R., Moszynski, J.-P., Talbot, C. B., Perrat, P. N., & Waddell, S. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.015 · Cited by 197
Reward signal in a recurrent circuit drives appetitive long-term memory formation
Ichinose, T., Aso, Y., Yamagata, N., Abe, A., Rubin, G. M., & Tanimoto, H. (2015) · eLife · doi:10.7554/elife.10719 · Cited by 162
Kondo, S., Takahashi, T., Yamagata, N., Imanishi, Y., Katow, H., Hiramatsu, S., Lynn, K., Abe, A., Kumaraswamy, A., & Tanimoto, H. (2020) · Cell Reports · doi:10.1016/j.celrep.2019.12.018 · Cited by 154
Neural Mechanisms of Reward in Insects
Perry, C. J., & Barron, A. B. (2013) · Annual Review of Entomology · doi:10.1146/annurev-ento-120811-153631 · Cited by 135
Aso, Y., Ray, R. P., Long, X., Bushey, D., Cichewicz, K., Ngo, T.-T., Sharp, B., Christoforou, C., Hu, A., Lemire, A. L., et al. (2019) · eLife · doi:10.7554/elife.49257 · Cited by 141
Spaced Training Forms Complementary Long-Term Memories of Opposite Valence in Drosophila
Jacob, P. F., & Waddell, S. (2020) · Neuron · doi:10.1016/j.neuron.2020.03.013 · Cited by 112
Johard, H. A. D., Enell, L. E., Gustafsson, E., Trifilieff, P., Veenstra, J. A., & Nässel, D. R. (2008) · Journal of Comparative Neurology · doi:10.1002/cne.21636 · Cited by 120
Persistent activity in a recurrent circuit underlies courtship memory in Drosophila
Zhao, X., Lenek, D., Dag, U., Dickson, B. J., & Keleman, K. (2018) · eLife · doi:10.7554/elife.31425 · Cited by 74
A sleep/wake circuit controls isoflurane sensitivity in Drosophila
Kottler, B., Bao, H., Zalucki, O., Imlach, W., Troup, M., van Alphen, B., Paulk, A., Zhang, B., & van Swinderen, B. (2013) · Current Biology · doi:10.1016/j.cub.2013.02.021 · Cited by 63
Kahsai, L., Carlsson, M. A., Winther, Å. M. E., & Nässel, D. R. (2012) · Neuroscience · doi:10.1016/j.neuroscience.2012.02.007 · Cited by 65
Trace conditioning in insects—keep the trace!
Dylla, K. V., Galili, D. S., Szyszka, P., & Lüdke, A. (2013) · Frontiers in Physiology · doi:10.3389/fphys.2013.00067 · Cited by 57
Distinct molecular underpinnings of Drosophila olfactory trace conditioning
Shuai, Y., Hu, Y., Qin, H., Campbell, R. A. A., & Zhong, Y. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1107489109 · Cited by 45
Metadata
- Authors
- Kim, Y.-C., Lee, H.-G., & Han, K.-A.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2007-07-18
- Volume
- 27
- Issue
- 29
- Pages
- 7640-7647
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W1966877506
- Cited by
- 365
- References
- 1
- FWCI
- 6.65
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
