The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Artificial selection for intrinsic aerobic endurance running capacity in rats
Abstract
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.
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Cites
The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
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THE PHYSIOLOGICAL MEANING OF THE MAXIMAL OXYGEN INTAKE TEST1
Mitchell, J. H., Sproule, B. J., & Chapman, C. B. (1958) · Journal of Clinical Investigation · doi:10.1172/jci103636 · Cited by 516
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Role of Inactivity in Chronic Diseases: Evolutionary Insight and Pathophysiological Mechanisms
Booth, F. W., Roberts, C. K., Thyfault, J. P., Ruegsegger, G. N., & Toedebusch, R. G. (2017) · Physiological Reviews · doi:10.1152/physrev.00019.2016 · Cited by 696
Cardiovascular risk factors emerge after artificial selection for low aerobic capacity.
Wisløff, U., Najjar, S. M., Ellingsen, Ø., Haram, P. M., Swoap, S., Al-Share, Q., Fernström, M., Rezaei, K., Lee, S. J., Koch, L. G., et al. (2005) · Science · doi:10.1126/science.1108177 · Cited by 657
Self-citationMolecular Choreography of Acute Exercise
Contrepois, K., Wu, S., Moneghetti, K. J., Hornburg, D., Ahadi, S., Tsai, M.-S., Metwally, A. A., Wei, E., Lee-McMullen, B., Quijada, J. V., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.043 · Cited by 502
Exercise training‐induced improvements in insulin action
Hawley, J. A., & Lessard, S. J. (2008) · Acta Physiologica · doi:10.1111/j.1748-1716.2007.01783.x · Cited by 454
Noland, R. C., Koves, T. R., Seiler, S. E., Lum, H., Lust, R. M., Ilkayeva, O., Stevens, R. D., Hegardt, F. G., & Muoio, D. M. (2009) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.032888 · Cited by 317
Metadata
- Authors
- KOCH, L. G., & BRITTON, S. L.
- Venue
- Physiological Genomics
- Publisher
- American Physiological Society
- Published
- 2001-02-07
- Volume
- 5
- Issue
- 1
- Pages
- 45-52
- ISSN
- 1094-8341 (ISSN-L)
- 1531-2267
- OpenAlex
- W1905920866
- Cited by
- 379
- References
- 3
- FWCI
- 2.24
- Type
- journal article
- Language
- en
- Open access
- closed
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