
Ageing is an adaptive evolutionary mechanism that emerges from the mathematical constraints of a system with reproduction and homeostasis, rather than a byproduct of evolution.


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Signs of ageing become apparent only late in life, after organismal development is finalized. Ageing, most notably, decreases an individual’s fitness. As such, it is most commonly perceived as a non-adaptive force of evolution and considered a by-product of natural selection.

Building upon the evolutionarily conserved age-related Smurf phenotype, we propose a simple mathematical life-history trait model in which an organism is characterized by two core abilities: reproduction and homeostasis.

Through the simulation of this model, we observe 1) the convergence of fertility’s end with the onset of senescence, 2) the relative success of ageing populations, as compared to non-ageing populations, and 3) the enhanced evolvability (i.e. the generation of genetic variability) of ageing populations. In addition, we formally demonstrate the mathematical convergence observed in 1).

We thus theorize that mechanisms that link the timing of fertility and ageing have been selected and fixed over evolutionary history, which, in turn, explains why ageing populations are more evolvable and therefore more successful. Broadly speaking, our work suggests that ageing is an adaptive force of evolution.

### Competing Interest Statement

The authors have declared no competing interest.

A scenario for an evolutionary selection of ageing

ageing-as-an-adaptive-evolutionary-mechanism-mathematical-model-reveals-convergence-of-fertility-and-mortality


Ageing as an Adaptive Evolutionary Mechanism: Mathematical Model Reveals Convergence of Fertility and Mortality
