Substantial contribution of genetic variation in the expression of transcription factors to phenotypic variation revealed by eRD-GWAS.

ABSTRACT:

Background

There are significant limitations in existing methods for the genome-wide identification of genes whose expression patterns affect traits.

Results

The transcriptomes of five tissues from 27 genetically diverse maize inbred lines were deeply sequenced to identify genes exhibiting high and low levels of expression variation across tissues or genotypes. Transcription factors are enriched among genes with the most variation in expression across tissues, as well as among genes with higher-than-median levels of variation in expression across genotypes. In contrast, transcription factors are depleted among genes whose expression is either highly stable or highly variable across genotypes. We developed a Bayesian-based method for genome-wide association studies (GWAS) in

SUBMITTER: Lin HY 

PROVIDER: S-EPMC5645915 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature