2013 Fiscal Year Final Research Report

Design of nutrition conditions to increase productivity of fungal secondary metabolites from large-scale transcriptome data

Research Project

Project/Area Number	24710234
Research Category	Grant-in-Aid for Young Scientists (B)
Allocation Type	Multi-year Fund
Research Field	System genome science
Research Institution	National Institute of Advanced Industrial Science and Technology
Principal Investigator	UMEMURA Myco 独立行政法人産業技術総合研究所, 生物プロセス研究部門, 主任研究員 (00552259)
Project Period (FY)	2012-04-01 – 2014-03-31
Keywords	大規模遺伝子発現情報 / 二次代謝経路 / 真菌類 / 培養条件
Research Abstract	To rationally design culture conditions suitable for the production of fungal secondary metabolites, we built the method to analyze large-scale transcriptome datasets obtained under 190 kinds of nutrition conditions. We sum up and normalize gene induction ratios per pathway in each condition. The scores are further normalized in each pathway. Clustering analysis of the scores revealed that secondary metabolic pathways can be classified into mainly three groups, and each group has corresponding type of inducible nutrition conditions. Based on this result, more accurate and wide information for nutrition conditions inducing secondary metabolite production will be able to be obtained by applying this method to larger transcriptome datasets in public database.