Your browser doesn't support javascript.
loading
A spatial approach to jointly estimate Wright's neighborhood size and long-term effective population size.
Hancock, Zachary B; Toczydlowski, Rachel H; Bradburd, Gideon S.
Afiliação
  • Hancock ZB; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 481103, USA.
  • Toczydlowski RH; Northern Research Station, United States Forest Service, Rhinelander, WI 54501, USA.
  • Bradburd GS; Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor, MI 481103, USA.
bioRxiv ; 2023 Mar 12.
Article em En | MEDLINE | ID: mdl-36945591
ABSTRACT
Spatially continuous patterns of genetic differentiation, which are common in nature, are often poorly described by existing population genetic theory or methods that assume panmixia or discrete, clearly definable populations. There is therefore a need for statistical approaches in population genetics that can accommodate continuous geographic structure, and that ideally use georeferenced individuals as the unit of analysis, rather than populations or subpopulations. In addition, researchers are often interested describing the diversity of a population distributed continuously in space, and this diversity is intimately linked to the dispersal potential of the organism. A statistical model that leverages information from patterns of isolation-by-distance to jointly infer parameters that control local demography (such as Wright's neighborhood size), and the long-term effective size (Ne) of a population would be useful. Here, we introduce such a model that uses individual-level pairwise genetic and geographic distances to infer Wright's neighborhood size and long-term Ne. We demonstrate the utility of our model by applying it to complex, forward-time demographic simulations as well as an empirical dataset of the Red Sea clownfish (Amphiprion bicinctus). The model performed well on simulated data relative to alternative approaches and produced reasonable empirical results given the natural history of clownfish. The resulting inferences provide important insights into the population genetic dynamics of spatially structure populations.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: BioRxiv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos