초록

1. 터펜 기질 증진 벼의 기능성 2차대사산물 de novo 생산 기작 규명 및 활용: 논문게재 5건, 특허출원 2건, 특허등록 2건
2. 페놀릭 등 기능성 이차대사산물 생성 벼의 생산기작 규명 및 활용: 논문게재 2건
3. 기능성 벼 기반 기작 규명을 위한 대사체 분석: 논문게재 3건
4. 페놀릭화합물 생성 기능성 벼의 대사체 분석: 논문 게재 4건
5. 기능성 2차대사산물 증진 벼의 멀티오믹스 데이터 통합분석: 논문게재 17건, 기술이전 1건

(출처 : 요약서 4p)

Abstract ▼

Purpose&Contents
- Establishment of the most efficient strategy for the de novo production of functional terpene metabolites through analysis of multi-omics data using MEP/carotene-enhanced rice
- Establishment of biotechnologies for optimal production of plant-derived functional substances an

Purpose&Contents
- Establishment of the most efficient strategy for the de novo production of functional terpene metabolites through analysis of multi-omics data using MEP/carotene-enhanced rice
- Establishment of biotechnologies for optimal production of plant-derived functional substances and understaniding the mechanism of plant growth and secondary metabolite production in terms of mastering genes
- Establishment of metabolomics-based research to construct functional rice and develop breeding materials
- We established primary and secondary metabolic profiling techniques for evaluation of metabolic changes from transgenic plants. In addition, the metabolomics of several transgenic plants for production of bioactive compounds were performed
- The efficient application strategy of rice terpene metabolism was investigated through systems biology analysis using multi-omics data
- Construction of a organ specific model of crops utilizing the existing rice cell model
- Analysis of the biosynthetic pathway of secondary metabolites in crops and identification of control mechanisms through the application of system biology techniques
- Construction of an in silico model for the study of interactions between crops and microbial communities
- Multi-omics and in silico cell model integration platform and system analysis to enhance the production of functional secondary metabolites in rice

Results
- The networking mechanism between primary and secondary metabolites in rice seeds was investigated through transcriptomic- and metabolomic analyses, where Module-1 was enhanced by overexpression of a DXS gene.
- The DXS gene was identified to function as a key rate-limiting step, and rice three genes, OsDXS1, OsDXS2 and OsDXS3, had differential roles in rice terpene metabolism through tissue-specific expression patterns.
- Single or multiple combination enhancements of Modul-1 and -2 have been investigated by Systems Synthesis Biology to present strategies to maximize the de novo production efficiency of functional terpene metabolites.
- Identificaton of the mechanisms of functional secondary metabolites production using phenylpropanoid-enhanced rice
- Development and fuctional characterization of transgenic rice overexpressing mastering gene (TF1)
- Identification of functional and regulatory roles of various mastering genes by the analysis of their transgenic riceGas-chromatography coupled with TOF mass spectrometry (GC-TOFMS) was used to analyze primary metabolites in rice plants. In addition, we established analytical methods to determine secondary metabolites related to the isoprenoid and phenylpropanoid biosynthesis.
Next, the lipophilic compounds and carotenoids were determined from several transgenic plants. Thus, we investigated the effects of transgenesis. Finally, we confirmed the metabolic changes of the transgenic plants.
- Identification of the biosynthetic pathway and regulation mechanism of rice secondary metabolites through integrated analysis of rice cell genome-level in silico model and multi-omics
- Establishment of analysis method and base information DB using genomic information of ginseng, a representative medicinal plant
- Establishment of lipid body analysis base technology, fat big data
- Construction of genomic-level virtual cell model and specific pathogenesis of Xanthomonas oryzae (Xoo), a representative crop pathogenic microorganism
- Comparison and analysis of characteristics of host animal cells producing therapeutic proteins through integrated multiomics data analysis
- Developing a cluster modeling technique to analyze metabolic characteristics and interactions of 6 kinds of lactic acid bacteria clusters
- Discovery of potential genetically modified targets to enhance beta-carotene production
- A comparative analysis of red ginseng and normal ginseng is conducted based on the multi-omics integrated analysis using transcriptome, metagenome, and metabolite.

Expected Contribution
- Optimization of target metabolites production through understanding the mechanism of plant-based production of functional secondary metabolites
- Identfication of new genes that regulate different metabolic pathway and acquisition of intellectual property rights of them
- Development of high value-added crops such as rice seed accumulating functional metabolites
- Understanding crop physiology by discovery of new regulatory genes involved in the growth and development of rice
- The established metabolomics approach could be used as an alternative method to predict food quality and identify metabolic links in complex biological systems

(출처 : Summary 7p)

목차 Contents

• 표지 ... 1
• 제출문 ... 2
• 보고서 요약서 ... 3
• 국문 요약문 ... 5
• Summary ... 7
• 목차 ... 11
• 제 1 장 연구 개발 과제의 개요 ... 12
• 제 1 절 연구 개발 목적 ... 12
• 제 2 절 연구 개발의 필요성 ... 12
• 제 3 절 연구 개발 범위 ... 15
• 제 2 장 연구 수행 내용 및 결과 ... 18
• 제 1 절 터펜 기질 증진 벼의 기능성 2차대사산물 de novo 생산 기작 규명 및 활용 ... 18
• 제 2 절 페놀릭 등 기능성 이차대사물질 생성 벼의 생산 기작 규명 및 활용 ... 42
• 제 3 절 기능성 벼 기반 기작 규명을 위한 대사체 분석 ... 55
• 제 4 절 페놀릭화합물 생성 기능성 벼의 대사체 분석 ... 71
• 제 5 절 기능성 2차대사산물 증진 벼의 멀티오믹스 데이터 통합분석 ... 79
• 제 3 장 목표달성도 및 관련분야 기여도 ... 94
• 제 1 절 목표대비 달성도 ... 94
• 제 2 절 정량적 성과(논문게재, 특허출원, 기타)를 기술 ... 97
• 제 4 장 연구 결과의 활용 계획 ... 98
• 제 5 장 연구 개발 결과의 보안 등급 ... 100
• 제 6 장 연구시설·장비종합정보시스템에 등록한 연구시설·장비 현황 ... 100
• 제 7 장 연구개발과제의 대표적 연구실적 ... 101
• 제 1 절 터펜 기질 증진 벼의 기능성 2차대사산물 de novo 생산 기작 규명 및 활용 ... 101
• 제 2 절 페놀릭 등 기능성 이차대사물질 생성 벼의 생산 기작 규명 및 활용 ... 102
• 제 3 절 기능성 벼 기반 기작 규명을 위한 대사체 분석 ... 102
• 제 4 절 페놀릭화합물 생성 기능 벼의 대사체 분석 ... 103
• 제 5 절 기능성 2차대사산물 증진 벼의 멀티오믹스 데이터 통합분석 ... 104
• 제 8 장 기타사항 ... 107
• 제 9 장 참고문헌 ... 107
• 끝페이지 ... 108