Literature DB >> 20538847

Strain screen and haplotype association mapping of wheel running in inbred mouse strains.

J Timothy Lightfoot1, Larry Leamy, Daniel Pomp, Michael J Turner, Anthony A Fodor, Amy Knab, Robert S Bowen, David Ferguson, Trudy Moore-Harrison, Alicia Hamilton.   

Abstract

Previous genetic association studies of physical activity, in both animal and human models, have been limited in number of subjects and genetically homozygous strains used as well as number of genomic markers available for analysis. Expansion of the available mouse physical activity strain screens and the recently published dense single-nucleotide polymorphism (SNP) map of the mouse genome (approximately 8.3 million SNPs) and associated statistical methods allowed us to construct a more generalizable map of the quantitative trait loci (QTL) associated with physical activity. Specifically, we measured wheel running activity in male and female mice (average age 9 wk) in 41 inbred strains and used activity data from 38 of these strains in a haplotype association mapping analysis to determine QTL associated with activity. As seen previously, there was a large range of activity patterns among the strains, with the highest and lowest strains differing significantly in daily distance run (27.4-fold), duration of activity (23.6-fold), and speed (2.9-fold). On a daily basis, female mice ran further (24%), longer (13%), and faster (11%). Twelve QTL were identified, with three (on Chr. 12, 18, and 19) in both male and female mice, five specific to males, and four specific to females. Eight of the 12 QTL, including the 3 general QTL found for both sexes, fell into intergenic areas. The results of this study further support the findings of a moderate to high heritability of physical activity and add general genomic areas applicable to a large number of mouse strains that can be further mined for candidate genes associated with regulation of physical activity. Additionally, results suggest that potential genetic mechanisms arising from traditional noncoding regions of the genome may be involved in regulation of physical activity.

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Year:  2010        PMID: 20538847      PMCID: PMC2944645          DOI: 10.1152/japplphysiol.00525.2010

Source DB:  PubMed          Journal:  J Appl Physiol (1985)        ISSN: 0161-7567


  47 in total

1.  Energy cost of wheel running in house mice: implications for coadaptation of locomotion and energy budgets.

Authors:  P Koteja; J G Swallow; P A Carter; T Garland
Journal:  Physiol Biochem Zool       Date:  1999 Mar-Apr       Impact factor: 2.247

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

Authors:  Scott A Kelly; Derrick L Nehrenberg; Jeremy L Peirce; Kunjie Hua; Brian M Steffy; Tim Wiltshire; Fernando Pardo-Manuel de Villena; Theodore Garland; Daniel Pomp
Journal:  Physiol Genomics       Date:  2010-04-13       Impact factor: 3.107

3.  An epistatic genetic basis for physical activity traits in mice.

Authors:  Larry J Leamy; Daniel Pomp; J Timothy Lightfoot
Journal:  J Hered       Date:  2008-06-05       Impact factor: 2.645

4.  Fine mapping of "mini-muscle," a recessive mutation causing reduced hindlimb muscle mass in mice.

Authors:  John Hartmann; Theodore Garland; Robert M Hannon; Scott A Kelly; Gloria Muñoz; Daniel Pomp
Journal:  J Hered       Date:  2008-06-09       Impact factor: 2.645

5.  Genetic and environmental influences on level of habitual physical activity and exercise participation.

Authors:  L Pérusse; A Tremblay; C Leblanc; C Bouchard
Journal:  Am J Epidemiol       Date:  1989-05       Impact factor: 4.897

6.  Adaptive and nonadaptive responses to voluntary wheel running by mdx mice.

Authors:  Rachel M Landisch; Allison M Kosir; Steven A Nelson; Kristen A Baltgalvis; Dawn A Lowe
Journal:  Muscle Nerve       Date:  2008-10       Impact factor: 3.217

7.  Training effects in mice after long-term voluntary exercise.

Authors:  Sara R Davidson; Margaret Burnett; Laurie Hoffman-Goetz
Journal:  Med Sci Sports Exerc       Date:  2006-02       Impact factor: 5.411

8.  Physical activity in the United States measured by accelerometer.

Authors:  Richard P Troiano; David Berrigan; Kevin W Dodd; Louise C Mâsse; Timothy Tilert; Margaret McDowell
Journal:  Med Sci Sports Exerc       Date:  2008-01       Impact factor: 5.411

9.  Derivation of a Bayes factor to distinguish between linked or pleiotropic quantitative trait loci.

Authors:  L Varona; L Gómez-Raya; W M Rauw; A Clop; C Ovilo; J L Noguera
Journal:  Genetics       Date:  2004-02       Impact factor: 4.562

10.  Altered dopaminergic profiles: implications for the regulation of voluntary physical activity.

Authors:  Amy M Knab; Robert S Bowen; Alicia T Hamilton; Alyssa A Gulledge; J Timothy Lightfoot
Journal:  Behav Brain Res       Date:  2009-06-09       Impact factor: 3.332

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  46 in total

Review 1.  Advances in exercise, fitness, and performance genomics in 2010.

Authors:  James M Hagberg; Tuomo Rankinen; Ruth J F Loos; Louis Pérusse; Stephen M Roth; Bernd Wolfarth; Claude Bouchard
Journal:  Med Sci Sports Exerc       Date:  2011-05       Impact factor: 5.411

Review 2.  Genomics and genetics in the biology of adaptation to exercise.

Authors:  Claude Bouchard; Tuomo Rankinen; James A Timmons
Journal:  Compr Physiol       Date:  2011-07       Impact factor: 9.090

3.  Estrogens, androgens and generalized behavioral arousal in gonadectomized female and male C57BL/6 mice.

Authors:  Xi Chu; Khatuna Gagnidze; Donald Pfaff; Anders Ågmo
Journal:  Physiol Behav       Date:  2015-04-30

4.  Architecture of energy balance traits in emerging lines of the Collaborative Cross.

Authors:  Wendy Foulds Mathes; David L Aylor; Darla R Miller; Gary A Churchill; Elissa J Chesler; Fernando Pardo-Manuel de Villena; David W Threadgill; Daniel Pomp
Journal:  Am J Physiol Endocrinol Metab       Date:  2011-03-22       Impact factor: 4.310

5.  Current understanding of the genetic basis for physical activity.

Authors:  J Timothy Lightfoot
Journal:  J Nutr       Date:  2011-01-26       Impact factor: 4.798

6.  Different regulation of adult hippocampal neurogenesis in Western house mice (Mus musculus domesticus) and C57BL/6 mice.

Authors:  Fabienne Klaus; Thomas Hauser; Anna K Lindholm; Heather A Cameron; Lutz Slomianka; Hans-Peter Lipp; Irmgard Amrein
Journal:  Behav Brain Res       Date:  2011-07-23       Impact factor: 3.332

7.  Identification of exercise capacity QTL using association mapping in inbred mice.

Authors:  Sean M Courtney; Michael P Massett
Journal:  Physiol Genomics       Date:  2012-08-21       Impact factor: 3.107

8.  Taltirelin alleviates fatigue-like behavior in mouse models of cancer-related fatigue.

Authors:  John P Dougherty; Brian S Wolff; Mary J Cullen; Leorey N Saligan; Marvin C Gershengorn
Journal:  Pharmacol Res       Date:  2017-07-15       Impact factor: 7.658

9.  Lessons learned from vivo-morpholinos: How to avoid vivo-morpholino toxicity.

Authors:  David P Ferguson; Lawrence J Dangott; J Timothy Lightfoot
Journal:  Biotechniques       Date:  2014-05-01       Impact factor: 1.993

10.  Effects of Aromatase Inhibition on the Physical Activity Levels of Male Mice.

Authors:  Robert S Bowen; David P Ferguson; J Timothy Lightfoot
Journal:  J Steroids Horm Sci       Date:  2011-11-25
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