title: Network analysis for gene discovery in plant-specialized metabolism.
abstract: 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.
authors: RIKEN Plant Science Center, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa 230-0045, Japan.
authors: Yasuhiro
authors: Y
authors: Higashi
authors: Kazuki
authors: K
authors: Saito
mesh_terms: D017360:Arabidopsis / Q000235:genetics / Q000378:metabolism; D053263:Gene Regulatory Networks; D056726:Genetic Association Studies; D018551:Solanum lycopersicum / Q000235:genetics / Q000378:metabolism; D010944:Plants / Q000235:genetics* / Q000378:metabolism*; D013045:Species Specificity
keywords: data mining; functional genomics; gene discovery; network analysis; omics; plant-specialized metabolism; systems biology