P1198Association Mapping of Beech Bark Disease in American Beech
The project aims to determine genetic architecture of disease resistance and describe patterns of genetic and phenotypic variation. The question of interest in our study would be are the alleles or genotypes at a genetic marker associated with disease status? We will use statistical methods such as unconditional logistic regression or Fisher’s exact test to access associations between SNPs and phenotypes. Here we will apply approach to associate variation of 512 unrelated individuals with ~18K high confidence SNPs.
The final EST sequence database originated from two transcriptome assemblies (http://ecosystems.psu.edu/research/centers/schatz/research) was used as SNPs source for genotyping in association study. To gain insight into the molecular mechanisms underlying disease resistance in F. grandifolia, RNA samples were sequenced by using Roche 454 short reads sequencing platform when RNA was isolated from both disease-resistance and disease-susceptible.
As the major outcome of this study, we expect to identify candidate genes for resistance that contain polymorphisms reported to be associated with Beech Bark Disease (BBD).
Key words: association genetics, American beech tree, disease resistance
