成果報告書詳細
管理番号100013732
タイトル*平成20年度中間年報 生物機能活用型循環産業システム 創造プログラム・省エネルギー技術開発プログラム 植物機能を活用した高度モノづくり基盤技術開発 植物の物質生産プロセス制御基盤技術開発
公開日2009/4/24
報告書年度2008 - 2008
委託先名財団法人かずさディー・エヌ・エー研究所
プロジェクト番号P02001
部署名バイオテクノロジー・医療技術開発部
和文要約以下本編抜粋:工業原材料を効率よく植物に生産させるために、代謝産物解析の基盤となるリソースの整備を進め、特定の物質代謝に関わる遺伝子発現機構を、モデル植物を用いて分子レベルで解析し、それを制御する方法を開発することを目標としている。
英文要約Our final goal is to identify plant genes that control metabolite synthesis, especially production of industrially useful materials, which will consequently contribute to plant biotechnology. Toward this goal, we choose the model plants Arabidopsis thaliana and Lotus japonicus to understand metabolite synthesis pathways, common in the plant kingdom and unique in these species, with genomics approaches. We also focused on various support works to the private sectors of the NEDO PM project. We sequenced approximately ten thousands EST (expressed sequenced Tag) cDNA clones of Acacia mangium that were thought to contain cDNA clones of lignin and cellulose biosyntheses. We also performed BLAST searches to assemble the nucleotide sequences. We selected metabolite related genes for biosynthesis of cell wall, isoprenoids and amino acids to study their functions. Transgenic cell lines and plant lines were prepared to these genes and subjected to metabolome and transcriptome analyses. Metabolome analysis was carried out using mass spectrometers including GC-TOF-MS, CE-MS, LC-MS, UPLC-Q-TOF-MS and LC-FT-MS. Over 30,000 samples were analyzed by these MSs. Samples from the private sectors of the NEDO PM Project were also analyzed. Gene expression analysis was done using commercially available DNA micro-array chips. Collaborate researches were done with other institutions including RIKEN and Kobe University in metabolome and transcriptome analyses. The multiple gene connection technique developed in the IC NEDO project was used to make various vectors for controlling metabolic pathways. Transgenic cell lines were prepared for the vectors to evaluate the effects of the gene connection. Key genes in secondary metabolism pathways were selected on the basis of gene expression networking and subjected to the generation of transgenic lines for functional analyses. Comparison of gene expression patterns between the model plant Arabidopsis and other plant species was also investigated. To integrate all data obtained form the project, we prepared a database Web site, from which omics tools and softwares we developed were accessible. The third version of the database/tool KaPPA-View was developed for industrially important plant species. The NEDO laboratory of Applied Plant Genomics, Kazusa DNA Research Institute
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