A systems-genetics approach and data mining tool to assist in the discovery of genes underlying complex traits in Oryza sativa.

ABSTRACT: Many traits of biological and agronomic significance in plants are controlled in a complex manner where multiple genes and environmental signals affect the expression of the phenotype. In Oryza sativa (rice), thousands of quantitative genetic signals have been mapped to the rice genome. In parallel, thousands of gene expression profiles have been generated across many experimental conditions. Through the discovery of networks with real gene co-expression relationships, it is possible to identify co-localized genetic and gene expression signals that implicate complex genotype-phenotype relationships. In this work, we used a knowledge-independent, systems genetics approach, to discover a high-quality set of co-expression networks, termed Gene Interaction Layers (GILs). Twenty-two GILs were c

SUBMITTER: Ficklin SP 

PROVIDER: S-EPMC3713027 | biostudies-literature | 2013

REPOSITORIES: biostudies-literature