The statistical verification of the minimum experimental datasets for the isolation of plant secondary metabolites related transcription factors using RNA-Seq analysis technique.

2016 Fiscal Year Final Research Report

• Project/Area Number: 26350967
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Biomolecular chemistry
• Research Institution: Kazusa DNA Research Institute
• Principal Investigator: Suzuki Hideyuki 公益財団法人かずさDNA研究所, バイオ研究開発部, グループ長 (80276162)
• Co-Investigator(Renkei-kenkyūsha): Mannen Kazuto (公財)かずさDNA研究所, バイオ研究開発部, 特任研究員 (60744216)
• Project Period (FY): 2014-04-01 – 2017-03-31
• Keywords: RNAーSeq解析 / ネットワーク解析 / 相関解析 / 生合成酵素遺伝子 / 除虫菊 / ピレスリン / アントシアニン / 転写因子

Outline of Final Research Achievements

We established standalone ConfeitoGUIplus software for detecting local communities from a correlation network involving size sensitivity. The developed software accepts any kind of a multivariate dataset and a correlation matrix. Using the public Arabidopsis DNA array resource data (more than 9 thousands), we have shown an application of our developed software to isolate gene co-expression network module in Arabidopsis flavonol biosynthesis.
We performed RNA-Seq analysis in Tanacetum cinerariifolium for gene discovery to isolate biosynthetic emzyme involved in natural pyrethrins biosynthesis. We have investigated the effects of the blend of the volatile organic compounds (VOCs) on gene expressions of seven biosynthetic enzymes.

Free Research Field

天然物生合成研究