Project description:BackgroundA highly significant quantitative trait locus (QTL) on chromosome 4 that influenced alcohol preference was identified by analyzing crosses between the iP and iNP rats. Congenic strains in which the iP chromosome 4 QTL interval was transferred to the iNP (NP.P) exhibited the expected increase in alcohol consumption compared with the iNP background strain. This study was undertaken to identify genes in the chromosome 4 QTL interval that might contribute to the differences in alcohol consumption between the alcohol-naïve congenic and background strains.MethodsRNA from 5 brain regions from each of 6 NP.P and 6 iNP rats was labeled and analyzed separately on an Affymetrix Rat Genome 230 2.0 microarray to look for both cis-regulated and trans-regulated genes. Expression levels were normalized using robust multi-chip average (RMA). Differential gene expression was validated using quantitative real-time polymerase chain reaction. Five individual brain regions (nucleus accumbens, frontal cortex, amygdala, hippocampus, and striatum) were analyzed to detect differential expression of genes within the introgressed QTL interval, as well as genes outside that region. To increase the power to detect differentially expressed genes, combined analyses (averaging data from the 5 discrete brain regions of each animal) were also carried out.ResultsAnalyses within individual brain regions that focused on genes within the QTL interval detected differential expression in all 5 brain regions; a total of 35 genes were detected in at least 1 region, ranging from 6 genes in the nucleus accumbens to 22 in the frontal cortex. Analysis of the whole genome detected very few differentially expressed genes outside the QTL. Combined analysis across brain regions was more powerful. Analysis focused on the genes within the QTL interval confirmed 19 of the genes detected in individual regions and detected 15 additional genes. Whole genome analysis detected 1 differentially expressed gene outside the interval.ConclusionsCis-regulated candidate genes for alcohol consumption were identified using microarray profiling of gene expression differences in congenic animals carrying a QTL for alcohol preference.

Project description:Opioid addiction is a chronic, relapsing disorder. Whether addicted individuals are forced to abstain or they decide themselves to quit using drugs, relapse rates are high-especially upon encountering contexts and stimuli associated with prior opioid use. Rodents similarly show context- and cue-induced reinstatement of drug seeking following abstinence, and intriguingly, the neural circuits underlying these relapse-like behaviors differ when abstinence is involuntarily imposed, responding is extinguished, or animals decide themselves to cease taking drug. Here, we employ two complementary rat behavioral models of relapse-like behavior for the highly reinforcing opioid drug remifentanil, and asked whether GABAergic neurons in the ventral pallidum (VPGABA) control opioid seeking under these behavioral conditions. Specifically, we asked how chemogenetically stimulating VPGABA neurons with clozapine-N-oxide (CNO) influences the ability of contextual or discrete remifentanil-paired cues to reinstate drug seeking following either voluntary abstinence (punishment-induced; GroupPunish), or extinction training (GroupExt). In GroupPunish rats, we also chemogenetically inhibited VPGABA neurons, and examined spontaneous VP activity (Fos) during cued reinstatement. In both GroupPunish and GroupExt rats, stimulating Gq-signaling in VPGABA neurons augmented remifentanil reinstatement in a cue- and context-dependent manner. Conversely, engaging inhibitory Gi-signaling in VPGABA neurons in GroupPunish suppressed cue-induced reinstatement, and cue-triggered seeking was correlated with Fos expression in rostral, but not caudal VP. Neither stimulating nor inhibiting VPGABA neurons influenced unpunished remifentanil self-administration. We conclude that VPGABA neurons bidirectionally control opioid seeking regardless of the specific relapse model employed, highlighting their fundamental role in opioid relapse-like behavior across behavioral models, and potentially across species.

Project description:The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-naïve iP and P.NP rats. Background: Selectively bred P (alcohol preferring) and NP (alcohol non-preferring) rats differ greatly in alcohol preference, in part due to a highly significant QTL on chromosome 4. Reciprocal congenic strains in which the iP chromosome 4 QTL interval was transferred to the iNP background (NP.P) and the iNP chromosome 4 QTL was transferred to the iP background (P.NP) exhibited alcohol consumption scores that correlated with the introgressed interval. The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-naïve iP and P.NP rats. Methods: RNA from the amygdala, nucleus accumbens, hippocampus, caudate putamen, and frontal cortex from each of 8 iP and 8 P.NP rats was labeled and analyzed on Affymetrix Rat Genome 230 2.0 microarrays. Expression levels were normalized using robust multi-chip average (RMA), and differential gene expression was measured in individual brain regions and in the average of the five brain regions. Differential gene expression was validated using quantitative real-time PCR. Meta-analysis was applied to compare microarray data from this experiment with data from the reciprocal congenic strains NP.P vs. iNP (Carr et al, 2007). Results: We detected between 72 (nucleus accumbens) and 89 (hippocampus) cis-regulated probe sets within the QTL that significantly differed between the strains in the five brain regions. There was significant overlap among the regions; 157 cis-regulated probe sets were detected in at least one brain region, of which 104 showed differential expression in more than one region. Fewer trans-regulated probe sets were detected, ranging from 7 in the amygdala to 54 in the caudate putamen, and most of these differed in only one region; only 10 of the 85 trans-regulated probe sets differed in more than one region. To increase the power to detect differentially expressed genes, data from the five discrete brain regions of each animal were averaged; in this analysis we detected 141 cis-regulated probe sets and 207 trans-regulated probe sets. Meta-analysis comparing the present results from iP vs. P.NP rats with an earlier experiment that used the reciprocal congenic NP.P vs. iP demonstrated that 74 cis-regulated probe sets were differentially expressed in the same direction and with a consistent magnitude of difference in both experiments. No consistent trans-regulated probe sets were identified. Conclusions: Cis-regulated candidate genes for alcohol consumption that lie within the chromosome 4 QTL were identified and confirmed by meta-analysis with the reciprocal congenic NP.P vs iNP study. These genes are strong candidates for producing the difference in alcohol preference and consumption between the iP and iNP rats. There was little evidence for consistent trans-acting effects. Keywords: comparison of gene expression profiles for strain1 (P rat) vs. strain2 (P.NP rat) 40 samples each of P and P.NP (8 animals each of P and P.NP. 5 brain regions)

Project description:The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-naïve iP and P.NP rats. Background: Selectively bred P (alcohol preferring) and NP (alcohol non-preferring) rats differ greatly in alcohol preference, in part due to a highly significant QTL on chromosome 4. Reciprocal congenic strains in which the iP chromosome 4 QTL interval was transferred to the iNP background (NP.P) and the iNP chromosome 4 QTL was transferred to the iP background (P.NP) exhibited alcohol consumption scores that correlated with the introgressed interval. The goal of this study was to identify candidate genes that may influence alcohol consumption by comparing gene expression in 5 brain regions of alcohol-naïve iP and P.NP rats. Methods: RNA from the amygdala, nucleus accumbens, hippocampus, caudate putamen, and frontal cortex from each of 8 iP and 8 P.NP rats was labeled and analyzed on Affymetrix Rat Genome 230 2.0 microarrays. Expression levels were normalized using robust multi-chip average (RMA), and differential gene expression was measured in individual brain regions and in the average of the five brain regions. Differential gene expression was validated using quantitative real-time PCR. Meta-analysis was applied to compare microarray data from this experiment with data from the reciprocal congenic strains NP.P vs. iNP (Carr et al, 2007). Results: We detected between 72 (nucleus accumbens) and 89 (hippocampus) cis-regulated probe sets within the QTL that significantly differed between the strains in the five brain regions. There was significant overlap among the regions; 157 cis-regulated probe sets were detected in at least one brain region, of which 104 showed differential expression in more than one region. Fewer trans-regulated probe sets were detected, ranging from 7 in the amygdala to 54 in the caudate putamen, and most of these differed in only one region; only 10 of the 85 trans-regulated probe sets differed in more than one region. To increase the power to detect differentially expressed genes, data from the five discrete brain regions of each animal were averaged; in this analysis we detected 141 cis-regulated probe sets and 207 trans-regulated probe sets. Meta-analysis comparing the present results from iP vs. P.NP rats with an earlier experiment that used the reciprocal congenic NP.P vs. iP demonstrated that 74 cis-regulated probe sets were differentially expressed in the same direction and with a consistent magnitude of difference in both experiments. No consistent trans-regulated probe sets were identified. Conclusions: Cis-regulated candidate genes for alcohol consumption that lie within the chromosome 4 QTL were identified and confirmed by meta-analysis with the reciprocal congenic NP.P vs iNP study. These genes are strong candidates for producing the difference in alcohol preference and consumption between the iP and iNP rats. There was little evidence for consistent trans-acting effects. Keywords: comparison of gene expression profiles for strain1 (P rat) vs. strain2 (P.NP rat)

Project description:Background:Advances in 3D shape capture technology have made powerful shape analyses, such as geometric morphometrics, more feasible. While the highly accurate micro-computed tomography (µCT) scanners have been the "gold standard," recent improvements in 3D surface scanners may make this technology a faster, portable, and cost-effective alternative. Several studies have already compared the two devices but all use relatively large specimens such as human crania. Here we perform shape analyses on Australia's smallest rodent to test whether a 3D scanner produces similar results to a µCT scanner. Methods:We captured 19 delicate mouse (Pseudomys delicatulus) crania with a µCT scanner and a 3D scanner for geometric morphometrics. We ran multiple Procrustes ANOVAs to test how variation due to scan device compared to other sources such as biologically relevant variation and operator error. We quantified operator error as levels of variation and repeatability. Further, we tested if the two devices performed differently at classifying individuals based on sexual dimorphism. Finally, we inspected scatterplots of principal component analysis (PCA) scores for non-random patterns. Results:In all Procrustes ANOVAs, regardless of factors included, differences between individuals contributed the most to total variation. The PCA plots reflect this in how the individuals are dispersed. Including only the symmetric component of shape increased the biological signal relative to variation due to device and due to error. 3D scans showed a higher level of operator error as evidenced by a greater spread of their replicates on the PCA, a higher level of multivariate variation, and a lower repeatability score. However, the 3D scan and µCT scan datasets performed identically in classifying individuals based on intra-specific patterns of sexual dimorphism. Discussion:Compared to µCT scans, we find that even low resolution 3D scans of very small specimens are sufficiently accurate to classify intra-specific differences. We also make three recommendations for best use of low resolution data. First, we recommend that extreme caution should be taken when analyzing the asymmetric component of shape variation. Second, using 3D scans generates more random error due to increased landmarking difficulty, therefore users should be conservative in landmark choice and avoid multiple operators. Third, using 3D scans introduces a source of systematic error relative to µCT scans, therefore we recommend not combining them when possible, especially in studies expecting little biological variation. Our findings support increased use of low resolution 3D scans for most morphological studies; they are likely also applicable to low resolution scans of large specimens made in a medical CT scanner. As most vertebrates are relatively small, we anticipate our results will bolster more researchers in designing affordable large scale studies on small specimens with 3D surface scanners.

Dataset Information

High Resolution Genomic Scans Reveal Genetic Architecture Controlling Alcohol Preference in Bidirectionally Selected Rat Model.

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High Resolution Genomic Scans Reveal Genetic Architecture Controlling Alcohol Preference in Bidirectionally Selected Rat Model.

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