보고서 정보
주관연구기관 |
국립농업과학원 National Institute of Agricultural Sciences |
연구책임자 |
이창묵
|
참여연구자 |
심준수
,
Sakurai Nozomu
|
보고서유형 | 최종보고서 |
발행국가 | 대한민국 |
언어 |
한국어
|
발행년월 | 2018-02 |
과제시작연도 |
2017 |
주관부처 |
농촌진흥청 Rural Development Administration(RDA) |
등록번호 |
TRKO201800043679 |
과제고유번호 |
1395050135 |
사업명 |
농업첨단핵심기술개발사업 |
DB 구축일자 |
2019-05-18
|
키워드 |
토마토.핵심집단.표적 대사체학.비표적 대사체학.통합데이터.Tomato.Core collection.Targeted metabolomics.Untargeted metabolomics.Integrated data.
|
DOI |
https://doi.org/10.23000/TRKO201800043679 |
초록
○ 국내수행 연구내용
- 토마토 핵심집단 46계통의 표적(targeted) 대사체 분석 프로파일
- 대사체 통합데이터 관리시스템 구축을 통한 지표물질 탐색·선발
○ 상대국 수행 연구내용
- 고해상도 FT-ICR-MS/MS 활용 토마토 핵심집단 46계통의 비표적(untargeted) 대사체 분석 프로파일 작성
- 자체 개발 시스템을 이용 토마토 핵심집단 46계통 비표적 대사체의 생합성 경로 맵핑
- 농과원에 대사체 통합데이터 관리시스템 구축기술 전수
(출처 : 보고서 요약서 3p)
Abstract
▼
Purpose&Contents
○ Targeted and Untargeted metabolome analysis of tomato core collection deposited in National Agrodiversity Center, Rural Development Administration
○ Construction of integrated metabolome data management system
○ Comparative analysis of tomato core collection using target
Purpose&Contents
○ Targeted and Untargeted metabolome analysis of tomato core collection deposited in National Agrodiversity Center, Rural Development Administration
○ Construction of integrated metabolome data management system
○ Comparative analysis of tomato core collection using targeted and untargeted metabolome analysis
Results
○ Targeted metabolomics analysis of tomato core collection (Korea)
- Targeted metabolome analysis of 46 tomato core collection using GC-MS and LC-MS
- We selected 46 tomato varieties for targeted metabolomics analysis among 2,084 inventories deposited in National Agrodiversity Center, Rural Development Administration, Korea.
- The 46 core collection were originated from 14 countries with variable agronomical features such as sweetness ranging from 3~10 Brix, and average fruit weight between 1.5~160 g. The fruit color also were variable from white to deep red. Among 46 varieties, wild-type varieties have usually lean, spread, and narrow stems, resulting into small fruits.
- The fruits matured 40.49 ± 0.58 days after planting in the green house. While the slowest maturing fruits took 54 days, fast growing tomato only required 32 days for full maturation.
- The major volatile compounds were aldehydes, and terpenes. We also found 3 varieties containing variable aromatic hydrocarbons and 2-Phylethanol. In comparison to wild-type tomatoes, well-known tomato volatile compounds such as trans-2-hexanal, trans-trans-2,4-decadienal, and trans-citral were abundant in cultivated varieties. Industrial strains like Rutgers, Heinz, and Money Maker contained less volatile compounds(65%, 84%, and 35% lesser amounts, respectively).
- We conducted OPLS-DA analysis using identified compounds from core collection. Using species-based classifications (wild-type, cultivated, and industrial tomatoes), we applied statistical analysis of quantitative amounts of 55 volatiles, 27 lipophilic compounds, and 3 sugars. The cultivated tomato varieties showed major grouping for volatile compounds. On the contrary, wild-type tomatoes were classified well in lipophilic metabolites and sweet sugars such as glucose and sucrose.
- Toxic compound, tomatin, was detected more often among wild-type varieties (13.3~41.1-fold higher contents compared to industrial tomato, Rutgers).
○ Polyphenolic chlorogenic acid was frequently observed both in wild-type and cultivated-type tomatoes. Interestingly, cherry tomato contained 1.5~3.3-fold more amount in our core collection. We also quantified and identified tomato varieties from 46 core collection, containing flavonoid isoquercetin (4.1∼9.8-fold), myricitrin (9.7~20.7-fold), astragalin (8.8∼20.7-fold), naringin (7.2∼11.0-fold), rutin (2.8∼3.8-fold), and naringenin-7-O-glucoside (39-fold).
- An integrated metabolome data management system was constructed, metabolome data were deposited in NABIC, and application of untargeted metabolimics study was carried out using untargeted 1,164 TIC peaks, followed by peak normalization, and finger-printing. When mapped ~100 peaks, we found that these peaks could be putative marker metabolites between wild-type and cultivated-type tomatoes.
○ Untargeted metabolomics analysis of tomato core collection (Japan)
- Untargeted metabolomics analysis using high-resolution FT-ICRMS/MS and a tomato core collection consists of 46 varieties provided from Korea.
- 2-D comparison of m/z values between samples, and removal of noise peaks by using Kazusa-developed MassChroViewer program were conducted.
- Conversion of machine raw file into manageable mzXML file by using ProteoWizard program.
- Peak alignments, normalization, and identification were performed by Kazusa-developed PowerGetBatch software package.
- OPLS statistical analysis for untargeted metabolome peaks identified VIP peaks related to fruit weights, sweetness, peel color, and flesh color differences. Among them, glutathione was marker metabolite that is highly related to fruit weights. Tomatine content was higher in wild-type small fruits, which is consistent to targeted metabolome analysis in Korea.
- Vendiagram analysis and KEGG pathway mapping using untargeted VIP peaks of 46 varieties using Kazusa-developed software identified several marker metabolites among tomato core collection, including pantetheine 4-phosphate,
- Transfer of technology and know-hows for untargeted palnt metabolomics, and integrated metabolome data management sytems.
Expected Contribution
○ Applicable to molecular tomato breeding based on functional metabolites in fruits, and can contribute its metabolic engineering.
○ Our results could provide important metabolite information for future Korean metabolome information platform, and support many basic information amoung breeding customers.
(출처 : Summary 6p)
목차 Contents
- 표지 ... 1
- 제 출 문 ... 2
- 보고서 요약서 ... 3
- 국 문 요 약 문 ... 4
- Summary ... 6
- 목차 ... 8
- 제 1 장 연구 개발 과제의 개요 ... 9
- 제1절 연구 개발 목적 ... 9
- 제2절 연구 개발의 필요성 ... 9
- 제3절 연구 개발 범위 ... 10
- 제 2 장 국내외 기술개발 현황 ... 11
- 제 3 장 연구 수행 내용 및 결과 ... 13
- 제1절: 국내수행 표적 대사체 연구 ... 13
- 제2절: 상대국 비표적 대사체 연구 ... 25
- 제 4 장 목표달성도 및 관련분야 기여도 ... 45
- 제1절 : 목표대비 달성도 ... 45
- 제2절 : 정량적 성과(논문게재, 특허출원, 기타) ... 46
- 제 5 장 연구 결과의 활용 계획 ... 46
- 제 6 장 연구 과정에서 수집한 해외 과학 기술 정보 ... 46
- 제 7 장 연구 개발 결과의 보안 등급 ... 48
- 제 8 장 국가과학기술지식정보서비스에 등록한 연구시설·장비 현황 ... 48
- 제 9 장 연구개발과제 수행에 따른 연구실 등의 안전조치 이행실적 ... 49
- 제 10 장 연구개발과제의 대표적 연구실적 ... 49
- 제 11 장 기타사항 ... 50
- 제 12 장 참고문헌 ... 51
- 끝페이지 ... 52
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