title: Effective size of populations under partial inbreeding and selection on a set of linked additive genes.
abstract: The prediction theory of effective population size (Ne) is extended to cover selection on a set of linked additive genes and partial inbreeding (partial selfing or partial full-sib mating). Ne under selection is generally expressed as a function of the cumulative change in frequency of a neutral gene due to the random association between the neutral and selected genes generated by finite sampling. In this study, the association under partial selfing was classified into two types, the association between the neutral and selected genes on the same gamete, and the association between the neutral and selected genes each on the different gametes in the same parent. For partial full-sib mating, an additional association, i.e., the association between the neutral and selected genes each in the different parents in the same family, was included in the model. According to this classification of the association, the coefficient accounting for the cumulative change in frequency of the neutral gene was partitioned into two or three components. A method for computing the partitioned coefficients was obtained from the transition matrix approach, in which the joint effect of linkage, selection and partial inbreeding was taken into account. To assess the joint effects of linkage, selection and partial inbreeding on Ne, numerical computations with the obtained expressions were carried out. The effect of linkage on Ne was generally small, except for an extremely small genome size, while the partial inbreeding resulted in a drastic reduction in Ne. For a given genome size, Ne was essentially independent of the length and number of chromosomes. Some of these results were verified by stochastic simulations.
authors.affiliation: Department of Biotechnology, Faculty of Engineering, Kyoto Sangyo University, Kyoto, Japan. nomurat@cc.kyoto-su.ac.jp
authors.forename: T
authors.initials: T
authors.lastname: Nomura
mesh_terms: D000818:Animals; D005075:Biological Evolution; D003198:Computer Simulation; D008040:Genetic Linkage / Q000235:genetics*; D014644:Genetic Variation / Q000235:genetics*; D005828:Genetics, Population; D006801:Humans; D007178:Inbreeding; D008957:Models, Genetic; D015233:Models, Statistical; D011158:Population Growth; D018401:Sample Size; D012641:Selection, Genetic; D013269:Stochastic Processes