Quantitative genomics of voluntary exercise in mice: transcriptional analysis and mapping of expression QTL in muscle
| Autor: | Kunjie Hua, Scott A. Kelly, Derrick L. Nehrenberg, Theodore Garland, Daniel Pomp |
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| Rok vydání: | 2014 |
| Předmět: |
Muscle tissue
Male Candidate gene Physiology Quantitative Trait Loci Quantitative trait locus Biology Motor Activity Inbred strain Physical Conditioning Animal Genetics medicine Animals Muscle Skeletal Molecular Genetics of Complex Traits Oligonucleotide Array Sequence Analysis Gene Expression Profiling Chromosome Mapping Genomics Phenotype Chromosomes Mammalian Genetic architecture Hindlimb Gene expression profiling Mice Inbred C57BL medicine.anatomical_structure Expression quantitative trait loci Female |
| Zdroj: | Physiological genomics. 46(16) |
| ISSN: | 1531-2267 |
| Popis: | Motivation and ability both underlie voluntary exercise, each with a potentially unique genetic architecture. Muscle structure and function are one of many morphological and physiological systems acting to simultaneously determine exercise ability. We generated a large ( n = 815) advanced intercross line of mice (G4) derived from a line selectively bred for increased wheel running (high runner) and the C57BL/6J inbred strain. We previously mapped quantitative trait loci (QTL) contributing to voluntary exercise, body composition, and changes in body composition as a result of exercise. Using brain tissue in a subset of the G4( n = 244), we have also previously reported expression QTL (eQTL) colocalizing with the QTL for the higher-level phenotypes. Here, we examined the transcriptional landscape of hind limb muscle tissue via global mRNA expression profiles. Correlations revealed an ∼1,168% increase in significant relationships between muscle transcript expression levels and the same exercise and body composition phenotypes examined previously in the brain. The exercise trait most often significantly correlated with gene expression in the brain was running duration while in the muscle it was maximum running speed. This difference may indicate that time spent engaging in exercise behavior may be more influenced by central (neurobiological) mechanisms, while intensity of exercise may be largely controlled by peripheral mechanisms. Additionally, we used subsets of cis-acting eQTL, colocalizing with QTL, to identify candidate genes based on both positional and functional evidence. We discuss three plausible candidate genes ( Insig2, Prcp, Sparc) and their potential regulatory role. |
| Databáze: | OpenAIRE |
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