| Literature DB >> 28605393 |
Tom S Koemans1, Cornelia Oppitz2, Rogier A T Donders3, Hans van Bokhoven4, Annette Schenck4, Krystyna Keleman5, Jamie M Kramer6.
Abstract
Many insights into the molecular mechanisms underlying learning and memory have been elucidated through the use of simple behavioral assays in model organisms such as the fruit fly, Drosophila melanogaster. Drosophila is useful for understanding the basic neurobiology underlying cognitive deficits resulting from mutations in genes associated with human cognitive disorders, such as intellectual disability (ID) and autism. This work describes a methodology for testing learning and memory using a classic paradigm in Drosophila known as courtship conditioning. Male flies court females using a distinct pattern of easily recognizable behaviors. Premated females are not receptive to mating and will reject the male's copulation attempts. In response to this rejection, male flies reduce their courtship behavior. This learned reduction in courtship behavior is measured over time, serving as an indicator of learning and memory. The basic numerical output of this assay is the courtship index (CI), which is defined as the percentage of time that a male spends courting during a 10 min interval. The learning index (LI) is the relative reduction of CI in flies that have been exposed to a premated female compared to naïve flies with no previous social encounters. For the statistical comparison of LIs between genotypes, a randomization test with bootstrapping is used. To illustrate how the assay can be used to address the role of a gene relating to learning and memory, the pan-neuronal knockdown of Dihydroxyacetone phosphate acyltransferase (Dhap-at) was characterized here. The human ortholog of Dhap-at, glyceronephosphate O-acyltransferase (GNPT), is involved in rhizomelic chondrodysplasia punctata type 2, an autosomal-recessive syndrome characterized by severe ID. Using the courtship conditioning assay, it was determined that Dhap-at is required for long-term memory, but not for short-term memory. This result serves as a basis for further investigation of the underlying molecular mechanisms.Entities:
Mesh:
Year: 2017 PMID: 28605393 PMCID: PMC5608251 DOI: 10.3791/55808
Source DB: PubMed Journal: J Vis Exp ISSN: 1940-087X Impact factor: 1.355



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| day -11 | Start premated female collection cultures (step 1.3) | |||
| day -10 | Start cultures for the collection of male test subjects (step 2.2) | |||
| day 1 | rep. 1 | |||
| day 2 | rep. 2 | |||
| day 3 | rep. 3 | |||
| day 4 | rep. 4 | rep. 1 | ||
| day 5 | rep. 2 | rep. 1 | ||
| day 6 | rep. 3 | rep. 2 | ||
| day 7 | rep. 4 | rep. 3 | ||
| day 8 | rep. 4 | |||
| day 9 | Video data analysis and statistics (step 8) | |||
| rep = repeat |
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| Training time | 1 h. | 1 h. | 8 h. |
| Resting time | 0 h. | 1 h. | ~ 24 h. |
| start training | 0 h. ALO | 0 h. ALO | 4 h. BLO |
| stop training | 1 h. ALO | 1 h. ALO | 4 h. ALO |
| start test | 1 h. ALO | 2 h. ALO | 0 h. ALO (next day) |
| ALO = after lights turn on, BLO = before lights turn on, STM = short term memory, LTM = long term memory |
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| Control | STM | 0.467 | 0.116 | 0.752 | NA | NA | NA | NA |
| Dhap-at-RNAi | STM | 0.699 | 0.257 | 0.633 | 0.119 | -0.030 | 0.265 | 0.116 |
| Control | LTM | 0.590 | 0.384 | 0.348 | NA | NA | NA | NA |
| Dhap-at-RNAi | LTM | 0.697 | 0.650 | 0.068 | 0.280 | 0.103 | 0.446 | 0.003 |
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| Day 1 | 0.300 | 0.125 | 0.584 | 0.679 | 0.239 | 0.648 |
| Day 2 | 0.634 | 0.107 | 0.831 | 0.720 | 0.276 | 0.617 | |
| All Days | 0.467 | 0.116 | 0.752 | 0.699 | 0.257 | 0.633 | |
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| Day 1 | 0.590 | 0.441 | 0.252 | 0.630 | 0.646 | -0.027 |
| Day 2 | 0.640 | 0.363 | 0.432 | 0.709 | 0.710 | -0.002 | |
| Day 3 | 0.547 | 0.349 | 0.363 | 0.738 | 0.598 | 0.190 | |
| All Days | 0.590 | 0.384 | 0.348 | 0.697 | 0.650 | 0.068 |
| “naivelevel” determines the text that will identify naïve values for each genotype. The default is “N,” but this can be changed into any other alphanumerical text. |
| “refmutation” is set to “NA” (not applicable) by default, but can be changed to the name of the control or the genotype in order to perform statistical comparisons. This will cause the script to automatically select the control genotype. |
| "datname” refers to the name of the data file and can be specified in this argument instead of the default file selection. |
| "header” can be used to indicate whether or not the data file contains column headers. The default is “TRUE,” but a file with no headers can be used when this argument is changed to “FALSE.” |
| "seed” initializes the random number generator. This is set by default to “NA” and ensures a random number each time the script is used. By design, a bootstrap analysis will give slightly different results each time it is run, even when using the same data file. When the seed is specified by any integer number larger than zero, the same set of random bootstrap samples is obtained. |
| "writeoutput” can be set to “TRUE” or “FALSE” in order to determine whether an output file will be generated. The default is “TRUE.” |