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| Status |
Public on Nov 20, 2007 |
| Title |
Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster |
| Organism |
Drosophila melanogaster |
| Experiment type |
Expression profiling by array
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| Summary |
Alcoholism is a complex disorder determined by interactions between genetic and environmental risk factors. Drosophila represents a powerful model system to dissect the genetic architecture of alcohol sensitivity, as large numbers of flies can readily be reared in defined genetic backgrounds and under controlled environmental conditions. Furthermore, flies exposed to ethanol undergo physiological and behavioral changes that resemble human alcohol intoxication, including loss of postural control, sedation, and development of tolerance.
We performed artificial selection for alcohol sensitivity for 25 generations and created duplicate selection lines that are either highly sensitive or resistant to ethanol exposure along with unselected control lines. We used whole genome expression analysis to identify 1,678 probe sets with different expression levels between the divergent lines, pooled across replicates, at a false discovery rate of q < 0.001. We assessed to what extent genes with altered transcriptional regulation might be causally associated with ethanol sensitivity by measuring alcohol sensitivity of 37 co-isogenic P-element insertional mutations in 35 candidate genes, and found that 32 of these mutants differed in sensitivity to ethanol exposure from their co-isogenic controls. Furthermore, 23 of these novel genes have human orthologues.
Combining whole genome expression profiling with selection for genetically divergent lines is an effective approach for identifying candidate genes that affect complex traits, such as alcohol sensitivity. Because of evolutionary conservation of function, it is likely that human orthologues of genes affecting alcohol sensitivity in Drosophila may contribute to alcohol-associated phenotypes in humans.
Keywords: artificial selection, whole genome expression profiling
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| Overall design |
Starting with flies from Raleigh natural population (see material and methods) we performed artificial selection for alcohol sensitivity for 35 generation. In each generations we scored 60 males and females, separately, from each line (resistant, sensitive, and control)using inebriometer, and the 20 highest-scoring flies from the resistant lines and the 20 lowest-scoring flies from the sensitive lines were selected as parents for the next generation. Control line flies were scored each generation and 20 random flies were used as parents.
At generation 25, two replicates of 15 three-five day old virgin males and females were collected from each selection line. Total RNA was extracted from the 24 samples . Biotinylated cRNA probes were hybridized to high density oligonucleotide microarrays (Affymetrix, Inc. Drosophila GeneChip 2.0) and visualized with a streptavidin-phycoerythrin conjugate, as described in the Affymetrix GeneChip Expression Analysis Technical Manual (2000), using internal references for quantification. The quantitative estimate of expression of each probe set is the Signal (Sig) metric, as described in the Affymetrix Microarray Suite, Version 5.0.
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| Contributor(s) |
Morozova TV, Anholt RR, Mackay TF |
| Citation(s) |
17973985 |
| Submission date |
Apr 25, 2007 |
| Last update date |
Aug 28, 2018 |
| Contact name |
Tatiana V Morozova |
| E-mail(s) |
tvmorozo@ncsu.edu
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| Organization name |
NCSU
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| Department |
zoology
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| Lab |
Anholt
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| Street address |
campus box 7617
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| City |
Raleigh |
| State/province |
NC |
| ZIP/Postal code |
27695 |
| Country |
USA |
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| Platforms (1) |
| GPL1322 |
[Drosophila_2] Affymetrix Drosophila Genome 2.0 Array |
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| Samples (24)
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| Relations |
| BioProject |
PRJNA100153 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE7614_RAW.tar |
52.1 Mb |
(http)(custom) |
TAR (of CEL, CHP) |
| Processed data provided as supplementary file |
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