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2.
Theory Biosci ; 130(2): 135-43, 2011 Jun.
Article in English | MEDLINE | ID: mdl-21293951

ABSTRACT

We have simulated the evolution of sexually reproducing populations composed of individuals represented by diploid genomes. A series of eight bits formed an allele occupying one of 128 loci of one haploid genome (chromosome). The environment required a specific activity of each locus, this being the sum of the activities of both alleles located at the corresponding loci on two chromosomes. This activity is represented by the number of bits set to zero. In a constant environment the best fitted individuals were homozygous with alleles' activities corresponding to half of the environment requirement for a locus (in diploid genome two alleles at corresponding loci produced a proper activity). Changing the environment under a relatively low recombination rate promotes generation of more polymorphic alleles. In the heterozygous loci, alleles of different activities complement each other fulfilling the environment requirements. Nevertheless, the genetic pool of populations evolves in the direction of a very restricted number of complementing haplotypes and a fast changing environment kills the population. If simulations start with all loci heterozygous, they stay heterozygous for a long time.


Subject(s)
Alleles , Polymorphism, Genetic , Animals , Chromosome Mapping , Evolution, Molecular , Gene Frequency , Genetic Complementation Test , Genome , Haploidy , Heterozygote , Humans , Models, Statistical , Monte Carlo Method , Mutation
3.
Phys Rev E Stat Nonlin Soft Matter Phys ; 70(5 Pt 1): 051910, 2004 Nov.
Article in English | MEDLINE | ID: mdl-15600659

ABSTRACT

We introduce a population dynamics model, where individual genomes are represented by bit strings. Selection is described by death probabilities which depend on these genomes, and new individuals continuously replace the ones that die, keeping the population constant. An offspring has the same genome as its (randomly chosen) parent, except for a small amount of (also random) mutations. Chance may thus generate a newborn with a genome that is better than that of its parent, and the newborn will have a smaller death probability. When this happens, this individual is a would-be founder of a new lineage. A new lineage is considered created if the number of its live descendants grows above a certain previously defined threshold. The time evolution of populations evolving under these rules is followed by computer simulations and the probability densities of lineage duration and size, among others, are computed. These densities show a scale-free behavior, in accordance with some conjectures in paleoevolution, and suggesting a simple mechanism as explanation for the ubiquity of these power laws.


Subject(s)
Biological Evolution , Chromosome Mapping/methods , Genetics, Population , Models, Genetic , Population Dynamics , Sequence Analysis, DNA/methods , Animals , Computer Simulation , Genetic Variation , Humans , Linkage Disequilibrium/genetics , Mutation , Phylogeny , Survival Analysis
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