Behavioral NeuroscienceGenomicsPeer-reviewed journal article
Divergent risky decision-making and impulsivity behaviors in two Lewis substrains of rats with low genetic difference
Daniel B. K. GabrieliD, Anna E. LileyiD, Hunter T. FranksiD, Grace L Minnes, Monika TutajiD, Melinda R. DwinelliD, Tristan V. de JongiD, Robert W. WilliamsiD, Megan K. MulliganiD, Hao CheniD, Nicholas W. SimoniD
Abstract
Substance use disorder (SUD) is associated with a cluster of cognitive disturbances that engender vulnerability to ongoing drug seeking and relapse. Two of these endophenotypes--risky decision-making and impulsivity--are amplified in individuals with substance use disorder and are augmented by repeated exposure to illicit drugs. Identifying genetic factors underlying variability in these traits is critical for early identification, prevention, and treatment of SUD-vulnerable individuals. Here, we compared risky decision-making and different facets of impulsivity between two fully inbred substrains of Lewis rats--LEW/NCrl and LEW/NHsd. We performed whole genome sequencing of both substrain to identify almost all relevant variants. We observed substantial differences in risky decision-making and impulsive behaviors. Relative to LEW/HHsd, the LEW/NCrl substrain accepts higher risk options in a decision-making task and higher rates of premature responses in the differential reinforcement of low rates of responding (DRL) task. These phenotypic differences were more pronounced in females than males. We defined a total of [~]9,000 polymorphisms between these substrains at 40X whole genome short-read coverage. Roughly half of variants are located within a single 1.5 Mb region of chromosome 8, but none impact protein-coding regions. In contrast, other variants are widely distributed, and of these 38 are predicted to cause protein-coding variants. In conclusion, Lewis rat substrains differ significantly in risk-taking and impulsivity and only a small number of easily mapped variants are likely to be causal. Sequencing combined with a reduced complexity cross (RCC) should enable identification of one or more variants underlying multiple complex addiction-relevant traits.
- organism: rat
- assay: whole-genome sequencing
- research focus: variant calling
- approach: statistical model
- Citations
- 3
- FWCI
- 0.36
- Field percentile
- 49th percentile
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