Survival phenotype, selfish individual versus Darwinian phenotype

JOURNAL OF THEORETICAL BIOLOGY

卷:430

Article

Garay, Jozsef^1,2,3  Csiszar, Villo⁴  Mori, Tamas F.⁴ 

[1] Eotvos Lorand Univ, MTA ELTE Res Grp Theoret Biol & Evolutionary Ecol, ELTE, Pazmany Peter Setany1-C, H-1117 Budapest, Hungary

[2] Eotvos Lorand Univ, Dept Plant Systemat Ecol & Theoret Biol, ELTE, Pazmany Peter Setany1-C, H-1117 Budapest, Hungary

[3] MTA Ctr Ecol Res, Evolutionary Syst Res Grp, Klebelsberg Kuno U 3, H-8237 Tihany, Hungary

[4] Eotvos Lorand Univ, Dept Probabil Theory & Stat, Pazmany Peter Satany 1-C, H-1117 Budapest, Hungary

关键词: Extinction;    Growth rate;    Time constraint;    Overlapping generation;    Sevast'yanov process;    Crump-Mode-Jagers process;    Malthusian parameter;   

DOI  :  10.1016/j.jtbi.2017.06.031

来源: Elsevier

【 摘 要 】

Consider and infinitely large asexual population without mutations and direct interactions. The activities of an individual determine the fecundity and the survival probability of individuals, moreover each activity takes time. We view this population model as a simple combination of life history and optimal foraging models. The phenotypes are given by probability distributions on these activities. We concentrate on the following phenotypes defined by optimization of different objective functions: selfish individual (maximizes the average offspring number during life span), survival phenotype (maximizes the probability of non-extinction of descendants) and Darwinian phenotype (maximizes the phenotypic growth rate). We find that the objective functions above can achieve their maximum at different activity distributions, in general. We find that the objective functions above can achieve their maximum at different activity distributions, in general. The novelty of our work is that we let natural selection act on the different objective functions. Using the classical Darwinian reasoning, we show that in our selection model the Darwinian phenotype outperforms all other phenotypes. (C) 2017 Elsevier Ltd. All rights reserved.

【 授权许可】

Free