Network-assisted crop systems genetics: Network inference and integrative analysis

Tak Lee, Hyojin Kim, In suk Lee

Research output: Contribution to journalReview article

22 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)61-70
Number of pages10
JournalCurrent Opinion in Plant Biology
Volume24
DOIs
Publication statusPublished - 2015 Apr 1

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crops
genome
prioritization
field crops
Arabidopsis thaliana
genes

All Science Journal Classification (ASJC) codes

  • Plant Science

Cite this

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Network-assisted crop systems genetics : Network inference and integrative analysis. / Lee, Tak; Kim, Hyojin; Lee, In suk.

In: Current Opinion in Plant Biology, Vol. 24, 01.04.2015, p. 61-70.

Research output: Contribution to journalReview article

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AU - Lee, In suk

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