Colville et al. (2017) used RNA-Seq to examine how High/Low line selection affected the SH transcriptome. The data analysis emphasized the effects of selection on gene networks. Networks were constructed using the weighted gene coexpression network analysis (WGCNA) (Zhang and Horvath, 2005). Selection targeted one of the network coexpression modules that were 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. The current study expands on these observations by asking what features are regionally specific or non-specific. For this purpose, sample sizes have been substantially increased from Colville et al. (2017) to insure the high quality of network structures across brain regions (see Langfelder et al., 2011).
