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Selectively bred rat model system for low and high response to exercise training.

Lauren Gerard Koch1, Geoffrey E Pollott, Steven L Britton

  • 1Department of Anesthesiology University of Michigan Medical School, Ann Arbor, Michigan, USA. lgkoch@med.umich.edu

Physiological Genomics
|May 30, 2013
PubMed
Summary

Researchers developed distinct low response trainers (LRT) and high response trainers (HRT) rat lines through selective breeding for exercise capacity. These contrasting models show significant differences in training response, aiding genetic research into physical fitness.

Keywords:
aerobic capacityexercise training responsegene-environment interactioninbred strains

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Area of Science:

  • Exercise Physiology
  • Animal Genetics
  • Quantitative Trait Loci

Background:

  • Developing animal models with extreme phenotypes is crucial for understanding complex traits.
  • Bidirectional selection experiments are effective for isolating genetic contributions to quantitative traits.

Purpose of the Study:

  • To create contrasting rat lines (LRT and HRT) for studying exercise response.
  • To characterize the genetic basis of exercise capacity and training adaptation.

Main Methods:

  • Large-scale bidirectional selection on treadmill running distance in a genetically heterogeneous rat population.
  • Standardized aerobic treadmill training over 8 weeks.
  • Calculation of response to training (ΔDIST) and narrow-sense heritability (h²).

Main Results:

  • After 15 generations, HRT rats showed a 223 m improvement, while LRT rats declined by 65 m in exercise capacity.
  • Narrow-sense heritability for ΔDIST was 0.10 ± 0.02.
  • No significant differences in body weight or baseline exercise capacity between LRT and HRT lines.

Conclusions:

  • Bidirectional selection effectively generated distinct lines with divergent exercise training responses.
  • These LRT and HRT rat models are valuable for investigating the genetic architecture of exercise capacity.
  • Selected heterogeneous stock models offer unique advantages for uncovering genetic underpinnings of complex traits.