Untangling species-environment interactions using metabolic networks: theory and its applications

2016 Fiscal Year Final Research Report

• Project/Area Number: 25700030
• Research Category: Grant-in-Aid for Young Scientists (A)
• Allocation Type: Partial Multi-year Fund
• Research Field: Life / Health / Medical informatics
• Research Institution: Kyushu Institute of Technology
• Principal Investigator: Takemoto Kazuhiro 九州工業大学, 大学院情報工学研究院, 准教授 (40512356)
• Project Period (FY): 2013-04-01 – 2017-03-31
• Keywords: ネットワーク科学 / 代謝ネットワーク / 数値モデル / 生態学 / 進化

Outline of Final Research Achievements

Species-environment interactions are important in environmental and medical sciences; however, previous methods for estimating the interactions have several limitations. Thus, I focused on the importance of metabolite interactions in microbial ecosystems, and proposed a novel method based on metabolic networks. The proposed method is useful for understating ecosystems at the molecular level. A number of interesting findings were obtained from the applications of the proposed method. These results promise to advance medical diagnosis and environment assessment based on genome information.

Free Research Field

計算・統合生物学