보고서 정보
주관연구기관 |
국립원예특작과학원 National Institute of Horticultural and Herbal Science |
연구책임자 |
조익현
|
참여연구자 |
이대영
,
김석만
|
보고서유형 | 최종보고서 |
발행국가 | 대한민국 |
언어 |
한국어
|
발행년월 | 2018-12 |
과제시작연도 |
2018 |
주관부처 |
농촌진흥청 Rural Development Administration(RDA) |
등록번호 |
TRKO201900015887 |
과제고유번호 |
1395053960 |
사업명 |
FTA대응경쟁력향상기술개발(R&D) |
DB 구축일자 |
2019-09-21
|
키워드 |
인삼.전사체.대사체.다변량 통계분석.연근판별.Ginseng.Transcriptome.Metabolome.Multivariate statistical analysis.Determinati on of Root Age.
|
DOI |
https://doi.org/10.23000/TRKO201900015887 |
초록
▼
본 연구는 인삼의 연근을 판별하기 위하여 전사체와 대사체 융복합 기술을 활용하였다. telomere 연관 2종 유전자와 전사체분석으로 확인된 노화관련 유전자 1종을 연근판별용 마커로 최종 선발하였다. 이들을 활용하여 5개 권역별로 수집한 인삼 300샘플을 qPCR로 상대정량비교를 실시한 결과, 판별 적중률은 4년근과 5년근에서 79.5%, 4년근과 6년근에서 95%, 5년근과 6년근에서 69.5%로 각각 확인되었다. GCTOF/MS로 분석했을 때 판별 적중률은 4년근과 5년근에서 98.5%, 4년근과 6년근에서 100%, 5년근과
본 연구는 인삼의 연근을 판별하기 위하여 전사체와 대사체 융복합 기술을 활용하였다. telomere 연관 2종 유전자와 전사체분석으로 확인된 노화관련 유전자 1종을 연근판별용 마커로 최종 선발하였다. 이들을 활용하여 5개 권역별로 수집한 인삼 300샘플을 qPCR로 상대정량비교를 실시한 결과, 판별 적중률은 4년근과 5년근에서 79.5%, 4년근과 6년근에서 95%, 5년근과 6년근에서 69.5%로 각각 확인되었다. GCTOF/MS로 분석했을 때 판별 적중률은 4년근과 5년근에서 98.5%, 4년근과 6년근에서 100%, 5년근과 6년근에서 97.8%로 각각 확인되었다. HR-MAS NMR를 이용하여 전체 685개 시료에 대하여 스펙트럼을 측정하고 다변량 통계분석을 통해 79.71%로 4, 5, 6년근을 판별할 수 있었다. 전체 685개 시료에 대하여 HR-MAS NMR 스펙트럼의 딥러닝 분석을 통하여 87.6%로 4, 5, 6년근의 판별율을 향상시킬 수 있었다.
(출처: 요약서 3p)
Abstract
▼
□ Purpose&Contents
Ginseng is a perennial medicinal crop used as herbal medicine for 4~6 years, which increasingly becomes expensive as it matures. Recently, 4~5 year-old ginseng was illegally distributed as 6 year-old which is causing confusion among the domestic ginseng distribution market. The
□ Purpose&Contents
Ginseng is a perennial medicinal crop used as herbal medicine for 4~6 years, which increasingly becomes expensive as it matures. Recently, 4~5 year-old ginseng was illegally distributed as 6 year-old which is causing confusion among the domestic ginseng distribution market. Therefore, this study was conducted to scientifically distinguish the age of ginseng age utilizing transcriptional and metabolic integrated analyses.
First, telomere length was measured from 4, 5, and 6 year-old ginseng, and compared with each other to distinguish the age.
In addition, transcript profiling was performed to select genes that were age-specifically expressed. Using chemical analysis equipment (UPLC-QTOF/MS, GC-QTOF/MS, LC/GC-MS, etc.),secondary metabolite profiling by ginseng age was carried out and DB was constructed, which were used for age distinction.
Using HR-MAS NMR based technology, a database of primary metabolites of 4, 5, and 6 year-old ginseng by age was constructed and attempted to distinguish the age by applying multivariate statistical analysis based on the metabolic changes with age.
□ Results
The morphological analysis of ginseng roots showed that the number of layers of secretory duct increased from 4 year-old to 6 year-old. 27 types of Telomere-associated genes were applied to 4, 5, and 6 year-old ginseng gene profiling andamong them, 7 genes were selected which allowed age distinction. Transcript analysis results revealed 47 candidate genes with different expression levels by age and among these, 11 genes were selected. Ultimately, one of the two telomere-related genes and one senescence-related gene identified by transcript analysis were selected as markers for age distinction. Using these, 300 samples of ginseng collected in 5 regions were subjected to relative quantitative comparison with qPCR. As a result, the hit ratio of distinction was confirmed to be 79.5% between 4 year-old and 5 year-old, 95% between 4 year-old and 6 year-old, and 69.5% between 5 year-old and 6 year-old, respectively. For age distinction using UPLC-QTOF/MS, the principal components analysis was conducted after establishing the optimal analysis method for 4, 5, and 6 year-old ginseng samples. As a result, distinction was confirmed as 98% for 4 year-old, 82% for 5 year-old, and 78% for 6 year-old.
When analysed by GCTOF/MS, the hit ration of distinction was 98.5% between the 4 year-old and 5 year-old, 100% between 4 year-old and 6 year-old and 97.8% between 5 year-old and 6 year-old. HR-MAS NMR was able to measure ginseng powder samples directly without extracting, and 23 metabolite profiles were confirmed from 4, 5, and 6-year-old.
A total of 685 samples were measured by HR-MAS NMR and through multivariate statistical analysis of the spectrum, 79.71% of the cases were distinguishable between 4, 5 and 6 year-old.
A deep learning analysis of HR-MAS NMR spectra of 685 samples showed 87.6% improvement in the discrimination rate between 4, 5, and 6-year-old.
□ Expected Contribution
The technological development of this study will enable scientific and systematic quality control of ginseng age. The developed method can be used directly by the illegal circulation regulatory agencies and industries. In addition, theage-related ginseng root growth markers through bioinformatic analysis can be applied to basic research on nutritional growth during growing seasons. The library of functional materials and information from this study will contribute to the development of high value-added materials industry and reduce the time and cost of discovery of useful materials for developing promising materials. By preparing the standardization of the ginseng age distinction criteria and developing a scientific distinction method of origin for trade circumvention, it will be possible to simultaneously protect producers and consumers in the ginseng distribution market by preventing illegal circulation which sells by falsifying age.
(출처 : SUMMARY 6p)
목차 Contents
- 표지 ... 1
- 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 ... 11
- 제 2 장 연구 수행 내용 및 결과 ... 12
- 제 3 장 목표달성도 및 관련분야 기여도 ... 56
- 제1절 목표대비 달성도 ... 56
- 제2절 정량적 성과(논문게재, 특허출원, 기타)를 기술 ... 57
- 제 4 장 연구 결과의 활용 계획 ... 58
- 제 5 장 연구 개발 결과의 보안 등급 ... 59
- 제 6 장 국가과학기술지식정보서비스에 등록한 연구시설·장비 현황 ... 60
- 제 7 장 연구개발과제의 대표적 연구실적 ... 61
- 제 8 장 기타사항 ... 62
- 제 9 장 참고문헌 ... 65
- 끝페이지 ... 69
※ AI-Helper는 부적절한 답변을 할 수 있습니다.