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Gender-Specific Effects of Selection for Drinking in the Dark on the Network Roles of Coding and Noncoding RNAs.

Authors :
Iancu OD
Colville AM
Wilmot B
Searles R
Darakjian P
Zheng C
McWeeney S
Kawane S
Crabbe JC
Metten P
Oberbeck D
Hitzemann R
Source :
Alcoholism, clinical and experimental research [Alcohol Clin Exp Res] 2018 Aug; Vol. 42 (8), pp. 1454-1465. Date of Electronic Publication: 2018 Jun 22.
Publication Year :
2018

Abstract

Background: Transcriptional differences between heterogeneous stock mice and high drinking-in-the-dark selected mouse lines have previously been described based on microarray technology coupled with network-based analysis. The network changes were reproducible in 2 independent selections and largely confined to 2 distinct network modules; in contrast, differential expression appeared more specific to each selected line. This study extends these results by utilizing RNA-Seq technology, allowing evaluation of the relationship between genetic risk and transcription of noncoding RNA (ncRNA); we additionally evaluate sex-specific transcriptional effects of selection.<br />Methods: Naïve mice (N = 24/group and sex) were utilized for gene expression analysis in the ventral striatum; the transcriptome was sequenced with the Illumina HiSeq platform. Differential gene expression and the weighted gene co-expression network analysis were implemented largely as described elsewhere, resulting in the identification of genes that change expression level or (co)variance structure.<br />Results: Across both sexes, we detect selection effects on the extracellular matrix and synaptic signaling, although the identity of individual genes varies. A majority of nc RNAs cluster in a single module of relatively low density in both the male and female network. The most strongly differentially expressed transcript in both sexes was Gm22513, a small nuclear RNA with unknown function. Associated with selection, we also found a number of network hubs that change edge strength and connectivity. At the individual gene level, there are many sex-specific effects; however, at the annotation level, results are more concordant.<br />Conclusions: In addition to demonstrating sex-specific effects of selection on the transcriptome, the data point to the involvement of extracellular matrix genes as being associated with the binge drinking phenotype.<br /> (Copyright © 2018 by the Research Society on Alcoholism.)

Details

Language :
English
ISSN :
1530-0277
Volume :
42
Issue :
8
Database :
MEDLINE
Journal :
Alcoholism, clinical and experimental research
Publication Type :
Academic Journal
Accession number :
29786871
Full Text :
https://doi.org/10.1111/acer.13777