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.
Bibliographical noteFunding Information:
This work was supported by National Research Foundation of Korea ( 2010-0017649 , 2012M3A9B4028641 , 2012M3A9C7050151 ) and the Next-Generation BioGreen 21 Program (SSAC, PJ009029).
All Science Journal Classification (ASJC) codes
- Plant Science