Mathematical modeling of wild transcriptome and reproduction by plant factory

2017 Fiscal Year Final Research Report

• Project/Area Number: 15K12142
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Life / Health / Medical informatics
• Research Institution: Osaka Prefecture University
• Principal Investigator: Fukuda Hirokazu 大阪府立大学, 工学(系)研究科(研究院), 准教授 (90405358)
• Co-Investigator(Kenkyū-buntansha): 徳田 功 立命館大学, 理工学部, 教授 (00261389)
• Project Period (FY): 2015-04-01 – 2018-03-31
• Keywords: 植物環境工学 / 植物工場 / 数理生物学 / 概日リズム / 位相方程式

Outline of Final Research Achievements

An "inherent gene expression pattern in wild plants" represents an inherent life state formed by unique geology, weather, and ecosystem, and is irreplaceable biological information. Currently, however, this biological information is being rapidly lost by climate change. In this research, we aimed to propose and verify a method to reproduce life status characterized by comprehensive gene expression analysis (transcriptome analysis) in artificial environment system. We conducted fundamental research on perennial herbal plants (Centella asiatica) that was naturally growing in the field, in order to establish a mathematical model of the core pattern on the transcriptome for reproducing its pattern by a plant factory.

Free Research Field

農業工学