title: Modelling survival and allele complementation in the evolution of genomes with polymorphic loci.
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.
authors.affiliation: Department of Genomics, Wrocław University, ul. Przybyszewskiego 63/77, 51-148 Wrocław, Poland.
authors.forename: S
authors.initials: S
authors.lastname: Cebrat
authors.forename: D
authors.initials: D
authors.lastname: Stauffer
authors.forename: J S Sá
authors.initials: JS
authors.lastname: Martins
authors.forename: S Moss
authors.initials: SM
authors.lastname: de Oliveira
authors.forename: P M C
authors.initials: PM
authors.lastname: de Oliveira
mesh_terms: D000483:Alleles; D000818:Animals; D002874:Chromosome Mapping; D019143:Evolution, Molecular; D005787:Gene Frequency; D005816:Genetic Complementation Test; D016678:Genome; D006238:Haploidy; D006579:Heterozygote; D006801:Humans; D015233:Models, Statistical; D009010:Monte Carlo Method; D009154:Mutation; D011110:Polymorphism, Genetic