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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The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
Bouchard, C., An, P., Rice, T., Skinner, J. S., Wilmore, J. H., Gagnon, J., Pérusse, L., Leon, A. S., & Rao, D. C. (1999) · Journal of Applied Physiology · doi:10.1152/jappl.1999.87.3.1003 · Cited by 875
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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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
A transcriptional map of the impact of endurance exercise training on skeletal muscle phenotype
Keller, P., Vollaard, N. B. J., Gustafsson, T., Gallagher, I. J., Sundberg, C. J., Rankinen, T., Britton, S. L., Bouchard, C., Koch, L. G., & Timmons, J. A. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00634.2010 · Cited by 261
Self-citationGuidelines for animal exercise and training protocols for cardiovascular studies
Poole, D. C., Copp, S. W., Colburn, T. D., Craig, J. C., Allen, D. L., Sturek, M., O’Leary, D. S., Zucker, I. H., & Musch, T. I. (2020) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00697.2019 · Cited by 139
Selection for intrinsic endurance modifies endocrine stress responsiveness
Waters, R. P., Renner, K. J., Summers, C. H., Watt, M. J., Forster, G. L., Koch, L. G., Britton, S. L., & Swallow, J. G. (2010) · Brain Research · doi:10.1016/j.brainres.2010.07.078 · Cited by 15
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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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