Computer simulations for biological aging and sexual reproduction

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Computer simulations for biological aging and sexual reproduction.

The sexual version of the Penna model of biological aging, simulated since 1996, is compared here with alternative forms of reproduction as well as with models not involving aging. In particular we want to check how sexual forms of life could have evolved and won over earlier asexual forms hundreds of million years ago. This computer model is based on the mutation-accumulation theory of aging, ...

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Monte Carlo Simulations of Sexual Reproduction

Modifying the Redfield model of sexual reproduction and the Penna model of biological aging, we compare reproduction with and without recombination in age-structured populations. In contrast to Redfield and in agreement with Bernardes we find sexual reproduction to be preferred to asexual one. In particular, the presence of old but still reproducing males helps the survival of younger females b...

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Simulations of a mortality plateau in the sexual Penna model for biological aging.

The Penna model is a strategy to simulate the genetic dynamics of age-structured populations, in which the individual genomes are represented by bit strings. It provides a simple metaphor for the evolutionary process in terms of the mutation accumulation theory. In its original version, an individual dies due to inherited diseases when its current number of accumulated mutations, n, reaches a t...

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Life, Love and Death: Models of Biological Reproduction and Aging

Why do we get old and die? Each age has its own answer to it, and here of course I talk about computer simulations. There are many theories of biological aging [1], and I talk here about the one most suited for computer simulation, the half-century old mutation-accumulation hypothesis. This is somewhat similar to thermal physics with its balance between order (energy minimization) and disorder ...

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Phase Transition in Sexual Reproduction and Biological Evolution

Abstract Using Monte Carlo model of biological evolution we have discovered that populations can switch between two different strategies of their genomes’ evolution; Darwinian purifying selection and complementing the haplotypes. The first one is exploited in the large panmictic populations while the second one in the small highly inbred populations. The choice depends on the crossover frequenc...

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ژورنال

عنوان ژورنال: Anais da Academia Brasileira de Ciências

سال: 2001

ISSN: 0001-3765

DOI: 10.1590/s0001-37652001000100003