The potential of genomics to identify genes important for alcoholism has not been completely realized because ethanol produces a surfeit of changes in gene expression, most of which do not seem to make any meaningful contribution to the ethanol response of interest. A simple and effective way to pan for genomic changes relevant for an alcoholism phenotype would be invaluable. The problem is solved by focusing on genes that show common changes produced by two chemically and metabolically dissimilar drugs, ethanol and benzyl alcohol, which produce cross-tolerance by a mechanism with a shared molecular origin. Genes that respond in the same way to both alcohols will be identified by genomically surveying epigenetic histone modifications and gene expression. These will be functionally tested by mutant analysis in the fruit fly Drosophila melanogaster, an animal that has ethanol responses remarkably similar to humans. The alcohol response genes will be tested for a functional role in ethanol tolerance and two withdrawal/dependence symptoms - alcohol withdrawal induced hyperexcitability and cognitive ethanol dependence. Parts of this response have already been shown to be conserved in mammals. To directly bridge our work to human alcoholism the data will be collaboratively compared to human alcoholic datasets. The advantage of using Drosophila is that candidate genes can be rapidly and functionally tested by mutant analysis for their role in producing these ethanol responses.
In Aim 1, chromatin and RNA will be prepared from the heads of flies treated with ethanol or benzyl alcohol. Epigenetic and gene expression changes common to both drugs will be identified by ChIP-seq to identify changes in histone H3 and H4 acetylation and methylation (H3K36me1 and H3K36me3). These histone marks have tight linkage to changes in gene activity. RNA-seq will be used to monitor changes in gene expression. These candidates and pre-existing candidates from an epigenetic screen will be tested in Aim 2 and 3 by mutant, RNAi, and mis-expression analysis.
In Aim 2, candidate genes will be tested for a role in functional tolerance to ethanol sedation.
In Aim 3, th effects of mutations on alcohol-withdrawal will be determined electrophysiologically in adults and behaviorally in larvae. Adult flies show alcohol-withdrawal hyperexcitability that increases the susceptibility for seizures. While in ethanol-adapted larvae, the capacity for associative learning declines during withdrawal and is restored after ethanol reinstatement-demonstrating functional dependence. This contribution will be significant because it will define the origins of functional tolerance phenotype and establish its relationship to dependence phenotypes. The proposed research is innovative because it uses 1) a shared drug response to focus a genomic survey on ethanol-response genes, 2) epigenetic histone modifications to help identify genes that transcriptionally respond to ethanol intoxication, and 3) new behavioral assays that allow us to detect tolerance and physiological dependence in flies. Over its 5 year span, this project will be used to train 2 post-docs, 2 graduate (Ph.D) and 10 undergraduate students.

Public Health Relevance

In the United States, almost 4% of the population meet the criteria for alcohol dependence, and alcohol-related problems are estimated to cost over 223 billion dollars per year. Alcohol produces neuronal adaptations that underlie functional tolerance-while ethanol is on board-and symptoms of withdrawal after ethanol clearance. These two phenomena advance the addicted state, are key diagnostic symptoms, and are thought to be mechanistically related. The proposed research is relevant to public health because we will describe the molecular origins of these early alcohol responses. A deeper understanding of these early alcohol responses enhances our ability to understand the changes accumulated over time that contribute towards alcoholism and therefore how it can be reversed.

Agency
National Institute of Health (NIH)
Institute
National Institute on Alcohol Abuse and Alcoholism (NIAAA)
Type
Research Project (R01)
Project #
5R01AA018037-08
Application #
9097476
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Reilly, Matthew
Project Start
2008-09-30
Project End
2019-06-30
Budget Start
2016-07-01
Budget End
2017-06-30
Support Year
8
Fiscal Year
2016
Total Cost
Indirect Cost
Name
University of Texas Austin
Department
Neurosciences
Type
Schools of Arts and Sciences
DUNS #
170230239
City
Austin
State
TX
Country
United States
Zip Code
78712
Park, Annie; Tran, Tracy; Atkinson, Nigel S (2018) Monitoring food preference in Drosophila by oligonucleotide tagging. Proc Natl Acad Sci U S A 115:9020-9025
Ghezzi, Alfredo; Li, Xiaolei; Lew, Linda K et al. (2017) Alcohol-Induced Neuroadaptation Is Orchestrated by the Histone Acetyltransferase CBP. Front Mol Neurosci 10:103
Park, Annie; Ghezzi, Alfredo; Wijesekera, Thilini P et al. (2017) Genetics and genomics of alcohol responses in Drosophila. Neuropharmacology 122:22-35
Atkinson, Nigel S (2016) How the Ganetzky lab drove me to alcohol. J Neurogenet 30:155-158
Troutwine, B R; Ghezzi, A; Pietrzykowski, A Z et al. (2016) Alcohol resistance in Drosophila is modulated by the Toll innate immune pathway. Genes Brain Behav 15:382-94
Krishnan, Harish R; Li, Xiaolei; Ghezzi, Alfredo et al. (2016) A DNA element in the slo gene modulates ethanol tolerance. Alcohol 51:37-42
Li, Xiaolei; Ghezzi, Alfredo; Krishnan, Harish R et al. (2015) A histone modification identifies a DNA element controlling slo BK channel gene expression in muscle. J Neurogenet 29:124-34
Ghezzi, Alfredo; Krishnan, Harish R; Atkinson, Nigel S (2014) Susceptibility to ethanol withdrawal seizures is produced by BK channel gene expression. Addict Biol 19:332-7
Ghezzi, Alfredo; Krishnan, Harish R; Lew, Linda et al. (2013) Alcohol-induced histone acetylation reveals a gene network involved in alcohol tolerance. PLoS Genet 9:e1003986
Ghezzi, Alfredo; Al-Hasan, Yazan M; Krishnan, Harish R et al. (2013) Functional mapping of the neuronal substrates for drug tolerance in Drosophila. Behav Genet 43:227-40

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