Physiol. Genomics Journal of Applied Physiology
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Physiol. Genomics 5: 45-52, 2001;
1094-8341/01 $5.00
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Received 8 November 2000; accepted in final form 5 January 2001.
Physiological Genomics 5:45-52 (2001)
1094-8341/01 $5.00 © 2001 American Physiological Society

Artificial selection for intrinsic aerobic endurance running capacity in rats

LAUREN GERARD KOCH and STEVEN L. BRITTON

Functional Genomics Laboratory, Medical College of Ohio, Toledo, Ohio 43614-5804

Artificial selection for intrinsic aerobic endurance running capacity was started using genetically heterogeneous N:NIH stock of rats as a founder population (n = 168). Selection for low and high capacity was based upon distance run to exhaustion on a motorized treadmill using a velocity-ramped running protocol. The starting velocity was 10 m/min and was increased by 1 m/min every 2 min (slope was constant at 15°). At each generation, within-family selection was practiced using 13 families for both the low and high lines. A rotational breeding paradigm maintained the coefficient of inbreeding at less than 1% per generation. On average the founder population ran to exhaustion in 355 ± 11 m. Six generations of selection produced lines that differed in running capacity by 171%, with most of the change occurring in the high line. At generation 6 the low line ran 310 ± 8 m and the high line 839 ± 21 m at exhaustion. Selection for running capacity produced changes in body weight as a correlated trait. By generation 6, the low-line females were 20% heavier than the high-line females, and the low-line males were 16% heavier than the high-line males.

treadmill; breeding; models; gene; performance




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