Genome-Wide DNA Methylation Profiling Reveals Epigenetic Changes in the Rat Nucleus Accumbens Associated With Cross-Generational Effects of Adolescent THC Exposure.
- Authors
- Watson, Corey T; Szutorisz, Henrietta; Garg, Paras; Martin, Qammarah; Landry, Joseph A; Sharp, Andrew J; Hurd, Yasmin L
- Year
- 2015
- Journal
- Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology
- PMID
- 26044905
- DOI
- 10.1038/npp.2015.155
- PMCID
- PMC4864634
Drug exposure during critical periods of development is known to have lasting effects, increasing one's risk for developing mental health disorders. Emerging evidence has also indicated the possibility for drug exposure to even impact subsequent generations. Our previous work demonstrated that adolescent exposure to Ξ(9)-tetrahydrocannabinol (THC), the main psychoactive component of marijuana (Cannabis sativa), in a Long-Evans rat model affects reward-related behavior and gene regulation in the subsequent (F1) generation unexposed to the drug. Questions, however, remained regarding potential epigenetic consequences. In the current study, using the same rat model, we employed Enhanced Reduced Representation Bisulfite Sequencing to interrogate the epigenome of the nucleus accumbens, a key brain area involved in reward processing. This analysis compared 16 animals with parental THC exposure and 16 without to characterize relevant systems-level changes in DNA methylation. We identified 1027 differentially methylated regions (DMRs) associated with parental THC exposure in F1 adults, each represented by multiple CpGs. These DMRs fell predominantly within introns, exons, and intergenic intervals, while showing a significant depletion in gene promoters. From these, we identified a network of DMR-associated genes involved in glutamatergic synaptic regulation, which also exhibited altered mRNA expression in the nucleus accumbens. These data provide novel insight into drug-related cross-generational epigenetic effects, and serve as a useful resource for investigators to explore novel neurobiological systems underlying drug abuse vulnerability.
Global features of CpGs associated with cross-generational effects of THC exposure. (a) Density of CpGs plotted against the estimated mean methylation values between 0 and 100% (calculated across all THC and VEH animals) from both the background CpG list (black; n=567,306), and the hypermethylated (red) and hypomethylated (blue) DMRs; CpGs within DMRs have higher methylation levels on average. (b) Density of significant CpGs (q<0.01) from hyper- and hypomethylated DMRs (n=3,758) plotted against the difference in mean methylation values observed between THC and VEH groups, with hypermethylated changes (between-group difference>0%) shown in red, and hypomethylated changes shown in blue. DMRs, differentially methylated regions; THC, tetrahydrocannabinol; VEH, control vehicle
Plots demonstrating consistent differences in mean methylation between THC and VEH groups across significant CpGs within: (a) a hypermethylated DMR within an intron of Mta1, showing only the three significant hypermethylated CpGs within the DMR; (b) a hypermethylated DMR identified spanning exon 3 of Cdh15, showing only the three significant hypermethylated CpGs within the region; and (c) a hypomethylated DMR residing in exon 1 of Grin2a, ~2.5 kbp downstream of the transcript start site. In each panel, a schematic of Refseq gene annotations for each loci are shown, with exons depicted as purple blocks. A scale bar and bp positions in the rat rn4 genome assembly are provided. The locations of each hyper- and hypomethylated DMRs are indicated under each gene by red and blue boxes, respectively. DMR plots are shown below each gene. Within each plot, clusters of colored triangles represent methylation values at a given CpG across all individuals (THC, green; VEH, black). The mean methylation values for THC and VEH groups are represented by solid green (THC) and black (VEH) lines, connecting each CpG position. Approximate CpG bp positions (rn4) are indicated on the x axis. DMR, differentially methylated region; THC, tetrahydrocannabinol; VEH, control vehicle.
A circos plot showing the positions of all CpGs (n=5611) within significant DMRs across autosomes (chr1β20). Absolute mean methylation differences between THC and VEH groups for each hypo- and hypermethylated CpG are shown in the inner most panel (scale, 0β12%) as blue and red dots, respectively. The locations and names of 18 Refseq genes overlapped by the top 30 DMRs (Table 1) are indicated. The plot was generated using Rcircos (Zhang et al, 2013). DMR, differentially methylated region; THC, tetrahydrocannabinol; VEH, control vehicle.
Localization of CpGs with respect to exon/intron, promoter/TSS, and CpG island annotations in the rn4 genome. (a) The proportions of CpGs in hyper- and hypomethylated DMR (βHyper', βHypo' n=5,611) and background sets (βAll' n=567,306) overlapping Refseq gene (left panel) and CpG island annotations (right panel). (b) Comparison of genomic distances (bp) from Refseq gene TSSs of promoter-associated CpGs within DMRs (n=612) and the background set (n=235 524), represented by red/blue and black lines; DMR-CpGs were preferentially located downstream of TSSs.DMR, differentially methylated region; TSS, transcription start site.
DMR-associated genes and genes involved in synaptic plasticity and synaptic transmission interact with common PPIhubs. (a) Heatmap showing Fisher's exact test P-values from PPIhub enrichment analyses (calculated by Lists2Networks (Lachmann and Ma'ayan, 2010)) using three gene sets: DMR-associated genes (n=492), and genes in GO categories GO:0048167 (βregulation of synaptic plasticity' n=146) and GO:0035249 (βglutamatergic synaptic transmission' n=79). Only PPIhubs for which a significant enrichment (P<0.05) was found for the DMR gene set are shown. (b) Protein interaction network including proteins corresponding to genes from DMR, GO:0048167, and GO:0035249 sets that interact with Dlg4, based on known interactions from rat, mouse, and human interaction databases (Berger et al, 2007; Lachmann and Ma'ayan, 2010). Proteins are colored according to whether they belong to one or more of the three gene sets. DMR, differentially methylated region.
| Name | Type |
|---|---|
| Abcc9 | gene |
| addiction | phenotype |
| addiction phenotypes | phenotype |
| Addiction-related psychiatric phenotypes local | phenotype |
| adolescent cannabis use | phenotype |
| adult F1 offspring local | cohort |
| Adult F1 offspring local | cohort |
| anxiety | phenotype |
| autism | phenotype |
| Begain local | gene |
| BEGAIN local | gene |
| behavior | phenotype |
| behavioral deficits | phenotype |
| bipolar disorder | phenotype |
| CACNA1A | gene |
| cannabis use | phenotype |
| Cdh15 local | gene |
| CHST8 | gene |
| Cnr1 | gene |
| Cohort examined local | cohort |
| Complex psychiatric diseases local | phenotype |
| CpGi local | drug |
| dependence | phenotype |
| depression | phenotype |
| differentially methylated regions local | phenotype |
| Dlg4 | gene |
| DLGAP local | gene |
| Dlgap2 | gene |
| DMR local | drug |
| DMR local | variant |
| DMR-CpGs local | drug |
| DMRs local | drug |
| DNA methylation | drug |
| DNA methylation alterations local | phenotype |
| dopamine | drug |
| Dopamineβglutamate interactions local | phenotype |
| drug dependence | phenotype |
| Dysregulation of synaptic plasticity local | phenotype |
| Electrophysiological impairments local | phenotype |
| ethanol consumption | phenotype |
| F0 individuals local | cohort |
| F1 adult male rats local | cohort |
| F1 adult rats with parental THC exposure local | cohort |
| F1 Long-Evans rats local | cohort |
| F1 offspring of THC-exposed parents local | cohort |
| F1 progeny (THC-exposed) local | cohort |
| F1 rat cohort local | cohort |
| GATA3 local | gene |
| glutamate | drug |
| Glutamate receptor genes local | gene |
| Glutamate receptors local | gene |
| glutamatergic pathway | phenotype |
| Gpr157 local | gene |
| Gpr158 local | gene |
| Gpr39 local | gene |
| GRIK3 | gene |
| GRIK5 | gene |
| GRIN2A | gene |
| GSE69984 local | cohort |
| Hcn3 local | gene |
| HCN3 local | gene |
| heroin self-administration | phenotype |
| Heroin self-administration behavior local | phenotype |
| human | cohort |
| hyper-methylated DMRs local | phenotype |
| hypomethylated changes local | phenotype |
| hypo-methylated DMRs local | phenotype |
| IGF2 | gene |
| imprinted genes | gene |
| Kcna5 local | gene |
| KCNA5 local | gene |
| Kcnh1 local | gene |
| KCNH1 local | gene |
| Kcnj10 local | gene |
| KCNJ10 local | gene |
| Kcnm local | gene |
| KCNM local | gene |
| Kcnma1 | gene |
| Kcnn1 | gene |
| Kcnn4 local | gene |
| KCNN4 local | gene |
| Kcnq1 | gene |
| Kcnq2 local | gene |
| KCNQ2 local | gene |
| LINE local | drug |
| Long-Evans rats local | cohort |
| LTR local | drug |
| male/female cohort local | cohort |
| mice | cohort |
| morphine | drug |
| Mta1 local | gene |
| MTA1 local | gene |
| NAc | anatomy |
| neuropsychiatric conditions local | phenotype |
| nitrogen gas local | drug |
| nucleus accumbens | anatomy |
| offspring | cohort |
| parental THC exposure local | phenotype |
| periconceptional famine local | phenotype |
| psychiatric traits | phenotype |
| psychosis | phenotype |
| rat model | cohort |
| rats | cohort |
| RefSeq gene | gene |
| Rewarding behavior local | phenotype |
| saline | drug |
| schizophrenia | phenotype |
| Scn5a local | gene |
| SCN5A local | gene |
| Scn8a | gene |
| SINE local | drug |
| Striatal molecular disturbances local | phenotype |
| striatum | anatomy |
| synaptic plasticity | phenotype |
| teens | cohort |
| THC | drug |
| THC cohort local | cohort |
| THC-exposed group local | cohort |
| THC exposure local | phenotype |
| THC group local | cohort |
| tobacco use | phenotype |
| Tween 80 local | drug |
| VEH local | cohort |
| VEH local | drug |
| VEH cohort local | cohort |
| VEH-exposed group local | cohort |
| Western Europe | cohort |
| young adults | cohort |
| Ξ9-THC | drug |
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