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Joint analysis of spatial genetic structure and inbreeding in a managed population of Scots pine

Authors :
M R, García-Gil
O, François
F, Olivier
S, Kamruzzahan
P, Waldmann
Source :
Heredity. 103:90-96
Publication Year :
2009
Publisher :
Springer Science and Business Media LLC, 2009.

Abstract

We have investigated the fine-scale spatial genetic structure in a managed Scots pine forest. For this purpose, we perform a Bayesian genetic-cluster analysis of 96 geographically mapped individual seed trees of Swedish Scots pine based on 14 microsatellite loci. The analysis was carried out with the recently developed program GENECLUST (François et al., 2006), which provides the facility to jointly incorporate both spatial information from a geographical neighborhood structure through a Potts-Dirichlet model and account for variable degrees of inbreeding within the clusters. To evaluate whether inbreeding and spatial interaction should be included in the best-fitting statistical model for our data, we used the deviance information criterion (DIC), a weighted measure of model fit that accounts for an effective number of free parameters in a model. Analysis shows that a model with a single estimated cluster, with high levels of inbreeding (0.25) and with a moderate amount of spatial dependency within the unique cluster (Psi=0.2-0.4), best explains the data. We also carried out Bayesian parentage analysis, which enabled us to exclude the possibility that the sample constitutes one single full-sib family.

Details

ISSN :
13652540 and 0018067X
Volume :
103
Database :
OpenAIRE
Journal :
Heredity
Accession number :
edsair.doi.dedup.....ce1dc4e5180071845ce902d67a083d19
Full Text :
https://doi.org/10.1038/hdy.2009.33