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Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster

BACKGROUND: 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 backgro...

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Autores principales: Morozova, Tatiana V, Anholt, Robert RH, Mackay, Trudy FC
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2007
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246305/
https://www.ncbi.nlm.nih.gov/pubmed/17973985
http://dx.doi.org/10.1186/gb-2007-8-10-r231
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author Morozova, Tatiana V
Anholt, Robert RH
Mackay, Trudy FC
author_facet Morozova, Tatiana V
Anholt, Robert RH
Mackay, Trudy FC
author_sort Morozova, Tatiana V
collection PubMed
description BACKGROUND: 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. RESULTS: We performed artificial selection for alcohol sensitivity for 35 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. CONCLUSION: 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.
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spelling pubmed-22463052008-02-20 Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster Morozova, Tatiana V Anholt, Robert RH Mackay, Trudy FC Genome Biol Research BACKGROUND: 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. RESULTS: We performed artificial selection for alcohol sensitivity for 35 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. CONCLUSION: 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. BioMed Central 2007 2007-10-31 /pmc/articles/PMC2246305/ /pubmed/17973985 http://dx.doi.org/10.1186/gb-2007-8-10-r231 Text en Copyright © 2007 Morozova et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Morozova, Tatiana V
Anholt, Robert RH
Mackay, Trudy FC
Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster
title Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster
title_full Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster
title_fullStr Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster
title_full_unstemmed Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster
title_short Phenotypic and transcriptional response to selection for alcohol sensitivity in Drosophila melanogaster
title_sort phenotypic and transcriptional response to selection for alcohol sensitivity in drosophila melanogaster
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2246305/
https://www.ncbi.nlm.nih.gov/pubmed/17973985
http://dx.doi.org/10.1186/gb-2007-8-10-r231
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