Department of Genetics, Carolina Center for Genome Sciences, University of North Carolina, Chapel Hill, North Carolina 27599-7264, USA.
Genetics. 2012 Jun;191(2):643-54. doi: 10.1534/genetics.112.140509. Epub 2012 Mar 30.
The biological basis of voluntary exercise is complex and simultaneously controlled by peripheral (ability) and central (motivation) mechanisms. The accompanying natural reward, potential addiction, and the motivation associated with exercise are hypothesized to be regulated by multiple brain regions, neurotransmitters, peptides, and hormones. We generated a large (n = 815) advanced intercross line of mice (G(4)) derived from a line selectively bred for increased wheel running (high runner) and the C57BL/6J inbred strain. We previously mapped multiple quantitative trait loci (QTL) that contribute to the biological control of voluntary exercise levels, body weight, and composition, as well as changes in body weight and composition in response to short-term exercise. Currently, using a subset of the G(4) population (n = 244), we examined the transcriptional landscape relevant to neurobiological aspects of voluntary exercise by means of global mRNA expression profiles from brain tissue. We identified genome-wide expression quantitative trait loci (eQTL) regulating variation in mRNA abundance and determined the mode of gene action and the cis- and/or trans-acting nature of each eQTL. Subsets of cis-acting eQTL, colocalizing with QTL for exercise or body composition traits, were used to identify candidate genes based on both positional and functional evidence, which were further filtered by correlational and exclusion mapping analyses. Specifically, we discuss six plausible candidate genes (Insig2, Socs2, DBY, Arrdc4, Prcp, IL15) and their potential role in the regulation of voluntary activity, body composition, and their interactions. These results develop a potential initial model of the underlying functional genomic architecture of predisposition to voluntary exercise and its effects on body weight and composition within a neurophysiological framework.
自愿运动的生物学基础很复杂,同时受到外周(能力)和中枢(动机)机制的控制。伴随着的自然奖励、潜在的成瘾性以及与运动相关的动机被假设是由多个大脑区域、神经递质、肽和激素调节的。我们从一个专门选择增加轮跑(高跑者)的品系和 C57BL/6J 近交系中产生了一个大型(n = 815)的高级近交系(G(4))的老鼠。我们之前已经定位了多个与自愿运动水平、体重和组成的生物学控制以及对短期运动的体重和组成变化有关的数量性状基因座(QTL)。目前,我们使用 G(4)种群的一个子集(n = 244),通过大脑组织的全 mRNA 表达谱,检查了与自愿运动的神经生物学方面相关的转录景观。我们确定了调节 mRNA 丰度变化的全基因组表达数量性状基因座(eQTL),并确定了每个 eQTL 的基因作用模式以及顺式和/或反式作用性质。与运动或身体成分特征的 QTL 共定位的顺式作用 eQTL 的子集,基于位置和功能证据被用来识别候选基因,这些候选基因进一步通过相关和排除映射分析进行过滤。具体来说,我们讨论了六个可能的候选基因(Insig2、Socs2、DBY、Arrdc4、Prcp、IL15)及其在调节自愿活动、身体组成及其相互作用方面的潜在作用。这些结果在神经生理学框架内,为自愿运动的易感性及其对体重和组成的影响的潜在功能基因组结构提供了一个潜在的初始模型。