Back to Search Start Over

Genetic architecture of voluntary exercise in an advanced intercross line of mice

Authors :
Brian M. Steffy
Daniel Pomp
Derrick L. Nehrenberg
Kunjie Hua
Fernando Pardo-Manuel de Villena
Theodore Garland
Jeremy L Peirce
Tim Wiltshire
Scott A. Kelly
Source :
Physiological Genomics. 42:190-200
Publication Year :
2010
Publisher :
American Physiological Society, 2010.

Abstract

Exercise is essential for health, yet the amount, duration, and intensity that individuals engage in are strikingly variable, even under prescription. Our focus was to identify the locations and effects of quantitative trait loci (QTL) controlling genetic predisposition for exercise-related traits, utilizing a large advanced intercross line (AIL) of mice. This AIL (G4) population originated from a reciprocal cross between mice with genetic propensity for increased voluntary exercise [high-runner (HR) line, selectively bred for increased wheel running] and the inbred strain C57BL/6J. After adjusting for family structure, we detected 32 significant and 13 suggestive QTL representing both daily running traits (distance, duration, average speed, and maximum speed) and the mean of these traits on days 5 and 6 (the selection criteria for HR) of a 6-day test conducted at 8 wk of age, with many colocalizing to similar genomic regions. Additionally, seven significant and five suggestive QTL were observed for the slope and intercept of a linear regression across all 6 days of running, some representing a combination of the daily traits. We also observed two significant and two suggestive QTL for body mass before exercise. These results, from a well-defined animal model, reinforce a genetic basis for the predisposition to engage in voluntary exercise, dissect this predisposition into daily segments across a continuous time period, and present unique QTL that may provide insight into the initiation, continuation, and temporal pattern of voluntary activity in mammals.

Details

ISSN :
15312267 and 10948341
Volume :
42
Database :
OpenAIRE
Journal :
Physiological Genomics
Accession number :
edsair.doi.dedup.....fb0d82e7a4852b13b76e5d0e92f88527
Full Text :
https://doi.org/10.1152/physiolgenomics.00028.2010