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.

journal_name

Curr Opin Plant Biol

authors

Lee T,Kim H,Lee I

doi

10.1016/j.pbi.2015.02.001

subject

Has Abstract

pub_date

2015-04-01 00:00:00

pages

61-70

eissn

1369-5266

issn

1879-0356

pii

S1369-5266(15)00021-7

journal_volume

24

pub_type

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