Network analysis for gene discovery in plant-specialized metabolism

被引:60
|
作者
Higashi, Yasuhiro [1 ]
Saito, Kazuki [1 ,2 ]
机构
[1] RIKEN Plant Sci Ctr, Tsurumi Ku, Yokohama, Kanagawa 2300045, Japan
[2] Chiba Univ, Grad Sch Pharmaceut Sci, Chuo Ku, Chiba 2608675, Japan
关键词
data mining; functional genomics; gene discovery; network analysis; omics; plant-specialized metabolism; systems biology; MODEL DATA-ANALYSIS; UV-B LIGHT; SYSTEMS BIOLOGY; ALKALOID BIOSYNTHESIS; ARABIDOPSIS-THALIANA; GLUCOSINOLATE BIOSYNTHESIS; MORPHINE BIOSYNTHESIS; REGULATORY INTERACTIONS; HYPOTHESIS GENERATION; COEXPRESSION NETWORKS;
D O I
10.1111/pce.12069
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Recent omics technologies provide information on multiple components of biological networks. Web-based data mining tools are continuously being developed. Because genes involved in specialized (secondary) metabolism are often co-ordinately regulated at the transcriptional level, a number of gene discovery studies have been successfully conducted using network analysis, especially by integrating gene co-expression network analysis and metabolomic investigation. In addition, next-generation sequencing technologies are currently utilized in functional genomics investigations of Arabidopsis and non-model plant species including medicinal plants. Systems-based approaches are expected to gain importance in medicinal plant research. This review discussed network analysis in Arabidopsis and gene discovery in plant-specialized metabolism in non-model plants.
引用
收藏
页码:1597 / 1606
页数:10
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