title: Network-assisted crop systems genetics: network inference and integrative analysis.
abstract: Although next-generation sequencing (NGS) technology has enabled the decoding of many crop species genomes, most of the underlying genetic components for economically important crop traits remain to be determined. Network approaches have proven useful for the study of the reference plant, Arabidopsis thaliana, and the success of network-based crop genetics will also require the availability of a genome-scale functional networks for crop species. In this review, we discuss how to construct functional networks and elucidate the holistic view of a crop system. The crop gene network then can be used for gene prioritization and the analysis of resequencing-based genome-wide association study (GWAS) data, the amount of which will rapidly grow in the field of crop science in the coming years.
authors.affiliation: Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
authors.forename: Tak
authors.initials: T
authors.lastname: Lee
authors.affiliation: Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea.
authors.forename: Hyojin
authors.initials: H
authors.lastname: Kim
authors.affiliation: Department of Biotechnology, College of Life Science and Biotechnology, Yonsei University, Seoul, Republic of Korea. Electronic address: insuklee@yonsei.ac.kr.
authors.forename: Insuk
authors.initials: I
authors.lastname: Lee
mesh_terms: D018556:Crops, Agricultural / Q000235:genetics*; D053263:Gene Regulatory Networks; D018745:Genome, Plant; D055106:Genome-Wide Association Study; D010641:Phenotype