Effects of selection for ethanol preference on gene expression in the nucleus accumbens of HS-CC mice.
- Authors
- Colville, A M; Iancu, O D; Oberbeck, D L; Darakjian, P; Zheng, C L; Walter, N A R; Harrington, C A; Searles, R P; McWeeney, S; Hitzemann, R J
- Year
- 2017
- Journal
- Genes, brain, and behavior
- PMID
- 28058793
- DOI
- 10.1111/gbb.12367
- PMCID
- PMC5671806
Previous studies on changes in murine brain gene expression associated with the selection for ethanol preference have used F intercross or heterogeneous stock (HS) founders, derived from standard laboratory strains. However, these populations represent only a small proportion of the genetic variance available in Mus musculus. To investigate a wider range of genetic diversity, we selected mice for ethanol preference using an HS derived from the eight strains of the collaborative cross. These HS mice were selectively bred (four generations) for high and low ethanol preference. The nucleus accumbens shell of naive S mice was interrogated using RNA sequencing (RNA-Seq). Gene networks were constructed using the weighted gene coexpression network analysis assessing both coexpression and cosplicing. Selection targeted one of the network coexpression modules (greenyellow) that was significantly enriched in genes associated with receptor signaling activity including Chrna7, Grin2a, Htr2a and Oprd1. Connectivity in the module as measured by changes in the hub nodes was significantly reduced in the low preference line. Of particular interest was the observation that selection had marked effects on a large number of cell adhesion molecules, including cadherins and protocadherins. In addition, the coexpression data showed that selection had marked effects on long non-coding RNA hub nodes. Analysis of the cosplicing network data showed a significant effect of selection on a large cluster of Ras GTPase-binding genes including Cdkl5, Cyfip1, Ndrg1, Sod1 and Stxbp5. These data in part support the earlier observation that preference is linked to Ras/Mapk pathways.
Differences in ethanol preference and consumption as a result of bidirectional selectionLeft y-axis: consumption of 10% ethanol averaged from experimental days 10 and 12 expressed as g/kg ethanol consumed per day. Right y-axis: ethanol preference ratio (ratio of milliliters of 10% ethanol consumed to total milliliters of fluid consumed).
Multidimensional scaling (MDS) plots of genome-wide differences between high (magenta) and low (turquoise) ethanol-preferring selected lines compared with the founding strains (B6 = red, AJ = brown, 129 = purple, NOD = black, NZO = orange, CAST = dark green, PWK = green, WSB = blue) of the HS-CC founder stockThis figure illustrates strong genetic divergence between high and low preferring lines, in part because of the incorporation of wild-derived alleles in the low line. Additionally, it is notable the WSB/EiJ strain appears most genetically similar to the high preferring line.
Effects of selection on connectivity in Oprd1, a greenyellow module hub with significant enrichment in affected edges(a) Connectivity patterns of Oprd1 in the high line network. (b) Connectivity pattern of Oprd1 in the low line network. Edge thickness and transparency are proportional with connection strength.
| Name | Type |
|---|---|
| 129Sv/Im local | cohort |
| acute ethanol withdrawal local | phenotype |
| acute preference consumption local | phenotype |
| ADD2 local | gene |
| Adra1a | gene |
| A/J local | cohort |
| alcohol | phenotype |
| alcoholism | phenotype |
| alcohol preference | phenotype |
| alcohol-related phenotypes | phenotype |
| alcohol self-administration | phenotype |
| alternative splicing | drug |
| Arcturus Picopure Kit | drug |
| brain | anatomy |
| brown local | cohort |
| brown module | cohort |
| C57BL/6J | cohort |
| CAST/Ei local | cohort |
| CBL local | gene |
| Cdh11 local | gene |
| CDH11 local | gene |
| CDH12 | gene |
| CDH13 | gene |
| Cdh19 local | gene |
| CDH19 local | gene |
| Cdkl5 local | gene |
| CDKL5 local | gene |
| cell adhesion molecules local | drug |
| cellβcell adhesion local | phenotype |
| Chrna7 | gene |
| chromosome 2 local | variant |
| chronic preference consumption local | phenotype |
| Cyfip1 local | gene |
| CYFIP1 local | gene |
| DCC | gene |
| differentially wired (DW) local | phenotype |
| DOCK1 local | gene |
| DO mice local | cohort |
| Dpp6 | gene |
| drug dependence | phenotype |
| DW local | cohort |
| DW local | phenotype |
| DW genes local | cohort |
| Eco-Fresh bedding | drug |
| ethanol consumption | phenotype |
| ethanol preference | phenotype |
| ethanol preference consumption local | phenotype |
| excessive preference consumption local | phenotype |
| F2 local | cohort |
| F2 intercross local | cohort |
| Fyn | gene |
| Fzd3 | gene |
| G23 local | cohort |
| Gabrb2 | gene |
| genes | gene |
| GLUTAMATE_SECRETION local | phenotype |
| Gm12356 local | gene |
| Gm26672 local | gene |
| GPR63 local | gene |
| green module | cohort |
| greenyellow local | cohort |
| greenyellow module local | cohort |
| GREENYELLOW_MODULE local | cohort |
| GRIA1 | gene |
| GRIA3 | gene |
| Grid2 | gene |
| GRIK2 | gene |
| GRIN2A | gene |
| GRIN2B | gene |
| GRM1 | gene |
| GRM3 | gene |
| GRM4 | gene |
| GRM7 | gene |
| GSE65950 local | cohort |
| high alcohol preference | phenotype |
| high line | cohort |
| high preference local | phenotype |
| high preference line | cohort |
| HS4 local | cohort |
| HS-CC | cohort |
| HS-CC founders | cohort |
| HS-CC mice | cohort |
| HS/Ibg local | cohort |
| HS/Npt | cohort |
| Htr2a | gene |
| Htr5a | gene |
| Igf1r | gene |
| inbred strains | cohort |
| Kcna4 | gene |
| Kcnab1 local | gene |
| Kcnb1 | gene |
| Kcnb2 | gene |
| Kcnd2 | gene |
| Kif1a | gene |
| Kif1b local | gene |
| Kif5a local | gene |
| Kif5b local | gene |
| Kif5c local | gene |
| KIT | gene |
| lightcyan local | cohort |
| lightcyan module local | cohort |
| long non-coding RNAs local | drug |
| long-sleep mice local | phenotype |
| loss of righting reflex | phenotype |
| low alcohol preference | phenotype |
| low line | cohort |
| low preference local | phenotype |
| low preference line | cohort |
| low preferring lines local | cohort |
| Mapk1 | gene |
| Mapk8ip3 local | gene |
| MegaMUGA mouse genotyping array local | drug |
| meiotic drive locus local | variant |
| mice | cohort |
| M. musculus local | cohort |
| NAc | anatomy |
| NAc shell | anatomy |
| Naive S4 mice local | cohort |
| Ndrg1 | gene |
| NEURONAL_CELL_BODY local | phenotype |
| neuron part local | phenotype |
| NFKB1 | gene |
| NOD/Lt local | cohort |
| Nploc4 | gene |
| NP rats | cohort |
| nucleus accumbens shell | anatomy |
| Nup50 local | gene |
| NUP50 local | gene |
| NZO/HILt local | cohort |
| Oprd1 | cohort |
| Pcdh15 | gene |
| PCDHGA2 local | gene |
| PCDHGA5 local | gene |
| Pcdhga6 | gene |
| PCDHGA7B2 local | gene |
| Pcdhgb5 | gene |
| PCDHGB7 local | gene |
| Pchha9 local | gene |
| PCHHA9 local | gene |
| Pcsk1 | gene |
| Pdch15 local | gene |
| Pde10a local | gene |
| Pde4b | gene |
| Pde4d | gene |
| pink local | cohort |
| PINK_MODULE local | cohort |
| Portland VA Medical Center | cohort |
| preference for ethanol | phenotype |
| preference risk local | phenotype |
| preferring rats local | cohort |
| PSEN1 | gene |
| Purina 5001 chow | drug |
| PWK/Ph local | cohort |
| Rab local | gene |
| Rap local | gene |
| Ras GTPase local | gene |
| Ras/MAPK pathway local | drug |
| RESPONSE_TO_ENDOGENOUS_STIMULUS local | phenotype |
| RI strains local | cohort |
| S0 mice | cohort |
| S4 alcohol-naΓ―ve pups local | cohort |
| S4 animals local | cohort |
| saccharin | drug |
| selected lines | cohort |
| sex | phenotype |
| SHANK3 | gene |
| shell | anatomy |
| short-sleep mice local | phenotype |
| short-term selection (STS) local | cohort |
| SIGNALING_RECEPTOR_ACTIVITY local | phenotype |
| single nucleotide polymorphisms | variant |
| Slc6a15 | gene |
| Snap25 | gene |
| Sod1 | gene |
| SORT1 | gene |
| Sos1 local | gene |
| SOS1 local | gene |
| Srga local | gene |
| striatum | anatomy |
| synaptic function | phenotype |
| Tbc1d9 local | gene |
| TBC1D9 local | gene |
| TCFAP2A local | gene |
| Tmem208 local | gene |
| Tnik local | gene |
| Two-bottle choice preference test local | phenotype |
| water | drug |
| WSB alleles local | variant |
| WSB/EiJ local | cohort |
| WSB/EiJ inbred strain local | cohort |
| WSB founder strain local | cohort |
| yellow local | cohort |
| yellow module | cohort |
| ZBT7A local | gene |
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| Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders. | 2021 | 31477794 |
External
| Title | Authors | Journal | Year | Link |
|---|---|---|---|---|
| Genomic and Behavioral Signatures of Selection for Ethanol Preference from the Heterogeneous Stock Collaborative Cross Mice - The Central Nucleus of the Amygdala. | Anderson JQ et al. | β | 2025 | β |
| Genomic and Behavioral Signatures of Selection for Ethanol Preference from the Heterogeneous Stock Collaborative Cross Mice β The Central Nucleus of the Amygdala | Anderson JQ et al. | β | 2025 | β |
| Modeling Brain Gene Expression in Alcohol Use Disorder with Genetic Animal Models. | Hitzemann R et al. | β | 2025 | β |
| Brain gene expression differences related to ethanol preference in the collaborative cross founder strains. | Anderson JQ et al. | β | 2022 | β |
| Alcohol Dependence in Rats Is Associated with Global Changes in Gene Expression in the Central Amygdala. | Kisby BR et al. | β | 2021 | β |
| Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders. | Rao X et al. | β | 2021 | β |
| Effect of chronic ethanol consumption in rhesus macaques on the nucleus accumbens core transcriptome. | Walter N et al. | β | 2021 | β |
| Heritability of ethanol consumption and pharmacokinetics in a genetically diverse panel of collaborative cross mouse strains and their inbred founders. | Bagley JR et al. | β | 2021 | β |
| On the Use of Heterogeneous Stock Mice to Map Transcriptomes Associated With Excessive Ethanol Consumption. | Hitzemann R et al. | β | 2021 | β |
| The escalation in ethanol consumption following chronic intermittent ethanol exposure is blunted in mice expressing ethanol-resistant GluN1 or GluN2A NMDA receptor subunits. | Zamudio PA et al. | β | 2021 | β |
| Chronic Voluntary Ethanol Drinking in Cynomolgus Macaques Elicits Gene Expression Changes in Prefrontal Cortical Area 46. | Walter NAR et al. | β | 2020 | β |
| Knock-in Mice Expressing an Ethanol-Resistant GluN2A NMDA Receptor Subunit Show Altered Responses to Ethanol. | Zamudio PA et al. | β | 2020 | β |
| Phenotypic and gene expression features associated with variation in chronic ethanol consumption in heterogeneous stock collaborative cross mice. | Hitzemann R et al. | β | 2020 | β |
| RNA-Seq Analysis of Genetic and Transcriptome Network Effects of Dual-Trait Selection for Ethanol Preference and Withdrawal Using SOT and NOT Genetic Models. | Kozell LB et al. | β | 2020 | β |
| High-Diversity Mouse Populations for Complex Traits. | Saul MC et al. | β | 2019 | β |
| Regional Analysis of the Brain Transcriptome in Mice Bred for High and Low Methamphetamine Consumption. | Hitzemann R et al. | β | 2019 | β |
| Cross-species molecular dissection across alcohol behavioral domains. | Farris SP et al. | β | 2018 | β |
| Gender-Specific Effects of Selection for Drinking in the Dark on the Network Roles of Coding and Noncoding RNAs. | Iancu OD et al. | β | 2018 | β |
| Genetics of metabolic syndrome: potential clues from wild-derived inbred mouse strains. | Karunakaran S et al. | β | 2018 | β |
| NMDA receptor GluN2A subunit deletion protects against dependence-like ethanol drinking. | Jury NJ et al. | β | 2018 | β |
| Regional Differences and Similarities in the Brain Transcriptome for Mice Selected for Ethanol Preference From HS-CC Founders. | Colville AM et al. | β | 2018 | β |
| Alignment of the transcriptome with individual variation in animals selectively bred for High Drinking-In-the-Dark (HDID). | Hitzemann R et al. | β | 2017 | β |