Summary
Within the Penna model, we assume a modification with a reproduction rate B that depends on the health state of the individual defined by the number of bad mutations. The idea is that biologically weaker individuals has got less chance to produce offsprings. The results obtained from simulations and for typical set of model parameters show that then the mortality rate q(a) is increasing faster with age a. The maximum age is also limited from about 50 percent of the biological maximum life-span for the standard Penna model, to about 40 percent. We also conclude that bad mutation distribution r(a) is altered so that younger individuals may accommodate significantly more bad mutations, up to 25 percent, as compared with the standard model (5 percent). In summary, it makes sense to force less productivity for older and weaker individuals.
Similar content being viewed by others
References
T. J. P. Penna, A Bit-String Model for Biological Ageing, J. Stat. Phys. 78 (1995) 1629.
S. Moss de Oliveira, P. M. C. de Oliveira and D. Stauffer, Evolution, money, war and computers, Teubner, Stuttgart-Leipzig, 1999.
A. T. Bernardes, Monte Carlo Simulations of Biological Ageing, Ann. Rev. of Computational Physics 4 (1996) 359.
S. G. F. Martins and T. J. P. Penna, Computer simulation of sexual selection on age-structured population, Int. J. Modern Physics C 9 (1998) 491–496.
M. S. Magdoń and A. Z. Maksymowicz, Penna model in migrating population — effect of environmental factor and genetics, Physica A 273 (1999) 182–189.
A. Z. Maksymowicz, Influence of variations in threshold of bad mutations on age structure of the population, Physica A 273 (1999) 150–157.
R. C. Desai, F. James and E. Lui, Biological ageing: a bit-string model with fertility and fecundity, Theory in Biosciences 118 (1999) 98–112.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Magdoń-Maksymowicz, M., Maksymowicz, A.Z. & Kułakowski, K. Biological ageing with birth rate controlled by mutations in the Penna model. Theory Biosci. 119, 139–144 (2000). https://doi.org/10.1007/s12064-000-0010-8
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/s12064-000-0010-8