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Assessment of the Global Variance Effective Size of Subdivided Populations, and Its Relation to Other Effective Sizes.
Hössjer, Ola; Laikre, Linda; Ryman, Nils.
Afiliación
  • Hössjer O; Division of Mathematical Statistics, Department of Mathematics, Stockholm University, 106 91, Stockholm, Sweden. ola@math.su.se.
  • Laikre L; Division of Population Genetics, Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden.
  • Ryman N; Division of Population Genetics, Department of Zoology, Stockholm University, 106 91, Stockholm, Sweden.
Acta Biotheor ; 71(3): 19, 2023 Jul 17.
Article en En | MEDLINE | ID: mdl-37458852
ABSTRACT
The variance effective population size ([Formula see text]) is frequently used to quantify the expected rate at which a population's allele frequencies change over time. The purpose of this paper is to find expressions for the global [Formula see text] of a spatially structured population that are of interest for conservation of species. Since [Formula see text] depends on allele frequency change, we start by dividing the cause of allele frequency change into genetic drift within subpopulations (I) and a second component mainly due to migration between subpopulations (II). We investigate in detail how these two components depend on the way in which subpopulations are weighted as well as their dependence on parameters of the model such a migration rates, and local effective and census sizes. It is shown that under certain conditions the impact of II is eliminated, and [Formula see text] of the metapopulation is maximized, when subpopulations are weighted proportionally to their long term reproductive contributions. This maximal [Formula see text] is the sought for global effective size, since it approximates the gene diversity effective size [Formula see text], a quantifier of the rate of loss of genetic diversity that is relevant for conservation of species and populations. We also propose two novel versions of [Formula see text], one of which (the backward version of [Formula see text]) is most stable, exists for most populations, and is closer to [Formula see text] than the classical notion of [Formula see text]. Expressions for the optimal length of the time interval for measuring genetic change are developed, that make it possible to estimate any version of [Formula see text] with maximal accuracy.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Flujo Genético Límite: Animals Idioma: En Revista: Acta Biotheor Año: 2023 Tipo del documento: Article País de afiliación: Suecia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Flujo Genético Límite: Animals Idioma: En Revista: Acta Biotheor Año: 2023 Tipo del documento: Article País de afiliación: Suecia