Towards unbiased parentage assignment: combining genetic, behavioural and spatial data in a Bayesian framework.

摘要: Inferring the parentage of a sample individuals is often prerequisite for many types analysis in molecular ecology, evolutionary biology and quantitative genetics. In all but few cases, method assignment divorced from methods used to estimate parameters primary interest, such as mate choice or heritability. Here we present Bayesian approach that simultaneously estimates wide range population-level which are interested. We show joint estimation increases power assignment, reduces bias parameter estimation, accurately evaluates uncertainty both. illustrate by analysing number simulated test data sets, through re-analysis Seychelles warbler, Acrocephalus sechellensis. A combination behavioural, spatial genetic analyses and, importantly, does not require strong prior information about relationship between nongenetic parentage.