Transcriptome-based prediction for polygenic traits in rice using different gene subsets.

ABSTRACT:

Background

Transcriptome-based prediction of complex phenotypes is a relatively new statistical method that links genetic variation to phenotypic variation. The selection of large-effect genes based on a priori biological knowledge is beneficial for predicting oligogenic traits; however, such a simple gene selection method is not applicable to polygenic traits because causal genes or large-effect loci are often unknown. Here, we used several gene-level features and tested whether it was possible to select a gene subset that resulted in better predictive ability than using all genes for predicting a polygenic trait.

Results

Using the phenotypic values of shoot and root traits and transcript abundances in leaves and roots of 57 rice accessions, we evaluated the predictive abil

SUBMITTER: Tanaka R 

PROVIDER: S-EPMC11443665 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature