Genetic architecture of wood properties based on association analysis and co-expression networks in white spruce.

ABSTRACT: Association studies are widely utilized to analyze complex traits but their ability to disclose genetic architectures is often limited by statistical constraints, and functional insights are usually minimal in nonmodel organisms like forest trees. We developed an approach to integrate association mapping results with co-expression networks. We tested single nucleotide polymorphisms (SNPs) in 2652 candidate genes for statistical associations with wood density, stiffness, microfibril angle and ring width in a population of 1694 white spruce trees (Picea glauca). Associations mapping identified 229-292 genes per wood trait using a statistical significance level of P < 0.05 to maximize discovery. Over-representation of genes associated for nearly all traits was found in a xylem preferential co

SUBMITTER: Lamara M 

PROVIDER: S-EPMC5063130 | biostudies-literature | 2016 Apr

REPOSITORIES: biostudies-literature