Detection of genetic purging and predictive value of purging parameters estimated in pedigreed populations.

ABSTRACT: The consequences of inbreeding for fitness are important in evolutionary and conservation biology, but can critically depend on genetic purging. However, estimating purging has proven elusive. Using PURGd software, we assess the performance of the Inbreeding-Purging (IP) model and of ancestral inbreeding (Fa) models to detect purging in simulated pedigreed populations, and to estimate parameters that allow reliably predicting the evolution of fitness under inbreeding. The power to detect purging in a single small population of size N is low for both models during the first few generations of inbreeding (t ≈ N/2), but increases for longer periods of slower inbreeding and is, on average, larger for the IP model. The ancestral inbreeding approach overestimates the rate of inbreeding depressio

SUBMITTER: Lopez-Cortegano E 

PROVIDER: S-EPMC5997712 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature