옥수수의 내습성은 우리나라 옥수수 재배면적 확대와 자급률 향상을 위해 고려되어야 할 중요한 요소 중 하나이다. 본 연구는 내습성 옥수수 계통 개발을 위한 기초 연구로서, 토양의 표면침수조건에서 변화하는 옥수수 뿌리의 대사체를 분석하여 옥수수의 내습성 관련 생리 기작을 구명하고자 수행되었다. 우리나라 옥수수 유전자원(Zea mays L.)과 야생종 옥수수(Zea mays spp. parviglumis) 간 교배를 통하여 내습성이 향상된 계통을 개발했고, 그 중 19KT-32P를 유묘단계(V3)에 7일 동안 침수시킨 후 뿌리에서 발현되는 대사체를 탐색하고 분석하였다. 총 180개 대사체가 확인되었 고, 그 중에서 ℽ-aminobutyric acid (GABA), putrescine, citrulline, Gly, Ala 등 8개 대사체는 각각 2.5배 이상 발현이 증가 또는 감소하였다. 확인된 대사체는 식물에서 pH, 삼투압, K+/Ca++ 및 ATPase 활성을 조절하는 비생물적 스트레스와 관련이 있었다. 특히 가장 발현이 높은 GABA는 glutamate decarboxylase (GAD) 효소에 의해 축적되며, 본연구에서 분석한 결과 10개의 유전자형이 확인되었다. 특히 첫 번째 엑손은 매우 보존적이었지만, 두번째 엑손부터 많은 SNP 다형성이 확인되었다. 이러한 결과는 앞으로 내습성 옥수수 선발을 위한 분자마커로 활용되어 육종 효율을 높이는 좋은 수단으로 이용될 수 있을 것으로 생각된다.

본 연구는 FT-IR 스펙트럼 데이터를 기반으로 다변량통계분석을 이용하여 생육 온도변화에 따른 파파야(Carica papaya L.)의 대사체 수준 식별을 통해 기후 변화에 대응하여 작물의 육종 연구의 기초자료로 활용하고자 한다. 1. FT-IR 스펙트럼 데이터로부터 PCA(principal component analysis), PLS-DA(partial least square discriminant analysis) 그리고 HCA(hierarchical clustering analysis) 분석을 실시하였다. 2. 파파야 품종은 1700–1500, 1500–1300, 1100–950 cm-1부 위에서 대사체의 양적, 질적 패턴 변화가 FT-IR 스펙트럼상에 서 나타났다. FT-IR 스펙트럼의 1700–1500 cm-1부위는 주로 Amide I 과 II을 포함하는 아미노산 및 단백질계열의 화합물 들의 질적, 양적 정보를 나타내고, 1500–1300 cm-1부위는 phosphodiester group을 포함한 핵산 및 인지질의 정보가 반영이 되고, 1100–950 cm-1부위는 단당류나 복합 다당류를 포함 하는 carbohydrates 계열의 화합물들이 질적, 양적 정보가 반영되는 부위이다. 3. PCA score plot 상측으로부터 +0oC(A)에서 +4oC(C)로 변화하는 것을 볼 수 있다. (A) 그룹은 주로 현재 기온에서 재배되는 파파야가 분포되면서 그룹을 형성하고 있고, (B) 그 룹은 평년 기온에서 +2oC 증가한 것을 가정하여 재배된 파파야가 그룹을 형성하였다. 또한, (C) 그룹은 (B) 그룹에서 +2oC, 평년 기온에서 +4oC 증가한 것을 가정하여 재배된 파파야가 그룹을 형성하였다. 4. PLS-DA 분석의 경우 PCA 분석보다 생육온도에 따른 그룹 간 식별이 뚜렷하게 나타났다. 5. 본 연구에서 확립된 파파야 생육온도에 따른 대사체 수준 식별 기술은 파파야의 품종, 계통의 신속한 선발 수단으로 활용이 가능할 것으로 기대되며 육종을 통한 신품종개발 가속화에 기여할 수 있을 것으로 예상된다.

본 연구에서는 커피(C. Arabica)의 FT-IR 스펙트럼 데이터 를 기반한 다변량통계분석을 이용한 대사체 분석을 통해 품종 식별을 하여 육종 연구에 기초자료로 활용하고자 한다. 1. FT-IR 스펙트럼 데이터를 이용한 PCA(principal component analysis), PLS-DA(partial least square discriminant analysis) 그리고 HCA(hierarchical clustering analysis) 분석을 통해 품종 분류가 가능하였다. 2. 커피 품종들은 FT-IR 스펙트럼 부위인 1700-1500-1 (Amide I 과 II을 포함하는 아미노산 및 단백질계열의 화합물 들), 1500-1300-1 (phosphodiester group을 포함한 핵산 및 인지질의 정보), 1100-950cm-1 (단당류나 복합 다당류를 포함하는 carbohydrates 계열의 화합물)에서 질적, 양적 정보의 차이가 나타났다. 3. PCA 상에 나타난 8품종의 커피 품종이 각각 그룹을 형성하였다. 그 중 ‘Caturra’와 ‘Mahsellesa’ 품종은 각각의 그룹을 나타내면서 C. arabica 종에서도 다른 대사체 정보를 나타내는 것으로 확인하였고, ‘Catuai’, ‘CR-95’, ‘Geisra’, ‘Obata’, ‘Vemecia’ 그리고 ‘non’ 품종은 유사한 대사체 정보를 나타내는 것으로 확인하였다. 4. PLS-DA 분석의 경우 PCA 분석 보다 커피 품종간 식별이 뚜렷하게 나타났다. 5. 본 연구에서 확립된 대사체 수준에서 커피의 품종 식별 기술은 품종, 계통의 신속한 선발 수단으로 활용이 가능할 것으로 기대되며 육종을 통한 품종개발 가속화에 기여 할 수 있을 것으로 예상된다.

한국의 가양주는 지역별로 그 특징이 다르게 나타나며, 누룩균은 이러한 지역별 가양주의 특징을 결정 짓는데 가장 중요한 요소이다. 본 연구에서는 국내 지역별(충남, 서울, 제주) 가양주에서 분리한 누룩균 배양체의 대사체 분석을 통해, 균주별 특성을 비교 분석하였다. 총 7 지역의 가양주에서 분리된 20종의 누룩균 배양체의 대사체를 용매(Isopropyl alcohol: Methanol: Distilled water)추출 한 후, LC-MS/MS를 이용해 대사체 분석을 수행하였다. 이후 다변량 통계에 기반한 data mining을 통해 결과들을 분석하여 지역 및 균주별 대사체 변이를 규명하였다. Mass spectrometry에서 검출된 300여개의 전체 대사체들은 지역 및 균주별 특이성에 따라 분류 될 수 있었으며, Aspergillus niger 계열 균주들에서는 gluconic acid의 함량이 특이적으로 높게 나타났다. 이러한 지역 및 균주별 대사체의 변이 기여하는 유의적인 대사체들은 약 36개로 screening 되었고, 이들의 조성과 함량에 의해 지역별 가양주들의 특성이 발현되는 것을 확인할 수 있었다. 본 연구 결과는 향후 전통 가양주 유래 유용 미생물 자원의 발굴에 유용한 기초 자료로 활용될 수 있을 것으로 기대된다.

This research was conducted to evaluate quality changes in traditional Doenjang and manufactured Doenjang during a storage period of 8 weeks. Low-salt Doenjang and commercial Doenjang were purchased from different manufacturers and proximate analysis as well as changes in isoflavone, polyphenol, flavonoid contents of the samples were investigated using a mass spectrophotometer. The salinity of traditional Doenjang, low salt Doenjang, and commercial Doenjang were 13.2±1.15, 7.17±2.74, 10.67±0.35%, respectively and the salt concentrations of the soybean pastes did not change during storage. After 8 weeks at 35℃, chromatic values of all the paste samples decreased somewhat, with traditional Doenjang exhibiting fewer changes as compared to manufactured Doenjang. Amino acid nitrogen, acidity, microbial population all tended to increase with time, although some samples showed fluctuations during the test period. Moreover, the total isoflavone contents of traditional Doenjang increased with storage time while that of manufactured Doenjang tended to decrease. The isoflavone aglycone was shown to be the highest in traditional Doenjang, while isoflavone glycoside was abundant in manufactured Doenjang. Total flavonoid contents showed similar trends regardless of samples; initial contents of total flavonoid was 0.6 mg/g which increased to more than twice to 1.4 mg/g at the end of storage period. Composition profile of Doenjang extracts was analyzed using UPLC-Q-ToF

Kunrak, a type of Korea traditional cheese, is made using Tarak, a yogurt produced with makgeolli as the fermentation source. Kunrak is produced by removing whey from Tarak, followed by drying process for safe storage and consumption over a longer period. In this study, we produced kunrak based on the method described in「Imwonsibyukji」. Prepared Kunrak was ripening for 96 hours at 20, 30, and 40oC. In order to study characteristics of Kunrak, physiochemical properties (pH, acidity, water contents) and contents of metabolites (organic acids, sugars, amino acids, and fatty acids) were analyzed. During ripening, water contents decreased. The main organic acids in Kunrak were citric acid and lactic acid, and the main free sugar was lactose. Main amino acids were glutamate and phenylalanine, and main fatty acid was saturated capric acid. At later ripening, all metabolites increased immediately after preparation. The sensory evaluation score of overall preference was highest for Kunrak, which was ripening at 40oC for 96 hours. This study was aimed to assay metabolites of Kunrak under various ripening conditions. The results provide basic data to produce conditions for standardized manufacturing of Kunrak.

배양시간(6, 12, 24, 48시간)에 따른 Yersinia enterocolitica 균체 및 배지 대사체들의 변화를 이해하기 위하여 GC/MS와 다변량통계분석을 이용하여 분석한 결과 Partial Least Squares-Discriminant Analysis(PLS-DA) scores plots 상에서 배양시간에 따라 분석 시료들이 뚜렷하게 분리되었다. 시료들 사이의 차이에 관여하는 대사물질들을 동정한 결과 균체에서는 ethylene glycol, valine, ethanolamine, succinic acid, adenine, stearic acid, 배지에서는 glycine, fumaric acid, threonine, aminomalonic acid, malic acid, glutamic acid, citric acid가 배양시간에 따른 차이가 나는 것으로 확인되었다. 이들 대사물질들을 이용하여 관련 대사경로를 도출한 결과 배양시기에 따라 에너지 생성에 관여하는 대사경로가 주로 변하는 것으로 관찰되었다. Y. enterocolitica의 경우 대수기 초기에는 TCA cycle을 통해 에너지를 공급하다가 정지기에 들어서면서 정상적인 TCA cycle를 수행하지 못하고 ethanolamine 및 ethylene glycol 등 다른 탄소원 또는 질소원을 공급하는 것으로 확인되었다. 비록 관련된 많은 연구가 필요함에도 불구하고 대사체분석 기술을 활용한 Y. enterocolitica 균체 및 배지 분석 연구는 배양시간에 따른 대사과정의 변화를 관찰할 수 있을 뿐만 아니라 향후 균체 연구의 다양한 분야에 접목될 수 있을 것으로 사료된다.

Metabolomics aims at the comprehensive, qualitative and quantitative analysis of wide arrays of endogenous metabolites in biological samples. It has shown particular promise in the area of toxicology and drug development, functional genomics, system biology and clinical diagnosis. In this study, analytical technique of MS instrument with high resolution mass measurement, such as time-of-flight (TOF) was validated for the purpose of investigation of amino acids, sugars and fatty acids. Rat urine and serum samples were extracted by selected each solvent (50% acetonitrile, 100% acetonitrile, acetone, methanol, water, ether) extraction method. We determined the optimized liquid chromatography/time-of-flight mass spectrometry (LC/TOFMS) system and selected appropriated columns, mobile phases, fragment energy and collision energy, which could search 17 metabolites. The spectral data collected from LC/TOFMS were tested by ANOVA. Obtained with the use of LC/TOFMS technique, our results indicated that (1) MS and MS/MS parameters were optimized and most abundant product ion of each metabolite were selected to be monitorized; (2) with design of experiment analysis, methanol yielded the optimal extraction efficiency. Therefore, the results of this study are expected to be useful in the endogenous metabolite fields according to validated SOP for endogenous amino acids, sugars and fatty acids.

The relationship between environmental growth conditions of savory(Satureja hortensis) and Zn and vitamin B3 has been previously reported. Based on these results, HPLC and GC-MS were used to investigate the levels of phenolic compounds and perform metabolite analysis, respectively, in plants collected from different areas. Differences were observed in the levels of polyphenols and flavonoids depending on sampled areas and natural conditions. Next, HPLC and metabolite analyses confirmed the presence of bioactive substances. The results also showed that the longer the storage time, the higher was the content of carvacrol and of rosmarinic acid. Finally, the difference in the active ingredients was minimal when plants were cultivated under growth conditions similar to those in the place of origin.

Background : Wild-simulated ginseng (WSG, Panax ginseng C. A. Meyer) in Korea which depends on an artificial forest growth method. Methods and Results : WSG samples were collected from 8 different regions in Korea in October, 2017, and these were analyzed by ultraperformance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC-QTOF MS) using optimized analytical methods to compare the metabolite patterns to cultivated regions. Furthermore, their metabolite compositions differed according to individual plant samples. The metabolite profiling data were processed by multi-variate statistical analyses such as PCA and PLS-DA to determine the differences among geographical origins. To identify significant metabolites according to regional variances of WSG, more sophisticated multi-variate statistical analyses such as metabolite selection should be performed. Conclusion : This metabolomics approach can also be applied to evaluate the overall quality of WSG, as well as to discriminate the cultivars for the medicinal plant industry.

Background : Light-Emitting Diodes (LEDs) have been reported to alter the composition of the secondary metabolites present in many plants. For example, light exposure has been reported to significantly affect secondary metabolite biosynthesis in plants, and irradiance levels have been reported to affect the concentration and production of both phenylpropanoids and carotenoids. Therefore, the objective of the present study was to determine the most effective LED light source in enhancing growth and secondary metabolites (polyphenols and carotenoids) and investigate the effect of LED illumination on production the of primary and secondary metabolites (polyphenols and carotenoids) in Vigna unguiculata L. Walp. sprouts Methods and Results : In order to determine the effect of light-emitting diodes (LEDs) on plant metabolism, the present study examined the primary and secondary metabolite profiles of Vigna unguiculata L. Walp. sprouts that were exposed to red, blue, white, or a combination of red and blue LEDs using high-performance liquid chromatography (HPLC), electrospray ionization-mass spectrometry (ESI-MS), gas chromatography-mass spectrometry (GC-MS), and gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). A total of 39 hydrophilic compounds were identified and quantitated using GC-TOF-MS, and six phenylpropanoids and six carotenoids were quantified using HPLC. The plants grown under blue LED light contained the highest level of total carotenoids (253.72 ± 17.27 ㎍/g) and phenylpropanoids (2,600.51 ± 4.90 ㎍/g). Thus, the current study provides a new approach for enhancing the carotenoid and phenylpropanoid production of V. unguiculata. Conclusion : This study suggests that blue LED light source is the most appropriate for the sprout growth and production of phenolic compounds and carotenoids in cowpea sprouts. Furthermore, these findings confirm that HPLC, GC-MS, and GC-TOF-MS are suitable for investigating metabolic relationships and offer a tenable strategy for enhancing secondary metabolite production using LED light sources.

Background : Morus alba L. (M. alba L.) belongs to the family Moraceae and has been industrially used as a food source for the silkworm and as a sedative in traditional medicine due to their adaptogenic, hypotensive, anti-inflammatory, hypoglycemic, and anti-adipogenic properties. In this study, metabolic profiling of diploid and tetraploid in Morus alba L. ‘Cheongil’ Methods and Results : Carotenoids are secondary metabolites found in most of the higher plants. In the current study, the levels of carotenoids were much higher in tetraploid of M. alba L. ‘Cheongil’ than diploid of M. alba L. ‘Cheongil’. Particularly, the levels of lutein, 13z-β-carotene, α-carotene, E-β-carotene, and 9Z-β-carotene were 2.51, 5.53, 7.68, 4.43, and 4,46 times higher in tetraploid of M. alba L. ‘Cheongil’, respectively. Additionally, hierarchical cluster analysis (HCA) was carried out using Pearson’s correlation results in order to determine the relationships between metabolites of diploid and tetraploid in Morus alba L. ‘Cheongil’. The results of HCA revealed the degree of correlation among 42 metabolites, which were identified and quantitated by GC-TOFMS. Among TCA organic acids, succinic acid was positively correlated with fumaric acid (r = 0.8250, p < 0.0001) and malic acid (r = 0.9436, p < 0.0001). Among carbohydrates, fructose was positively correlated with glucose (r = 0.9398, p < 0.0001) and mannose (r = 0.9394, p < 0.0001). Conclusion : In this study, we investigated primary metabolites and secondary metabolites (carotenoids) in diploid and tetraploid in Morus alba L. ‘Cheongil’ in order to provide information on the difference between

Background : Morus alba L. (M. alba L.), belonging to the family Moraceae, is widely distributed in East Asia. Fruits of M. alba L. have been used in traditional herbal medicine due to their antioxidant, anticancer, and antidiabetic properties. Phenolics play a main role for the growth, development, and pigment accumulation of plants. In this study, metabolic profiling of white (M. alba L. ‘Turkey’) and red (M. alba L. ‘Cheongil’) fruits during maturation. Methods and Results : Phenolic compounds are secondary metabolites found in most of the higher plants. In the current study, the levels of phenolic compounds decreased during the maturation of Turkey and Cheongil fruits. Particularly, the Turkey fruits showed a dramatic decrease in the accumulation of phenolics. Principal component analysis (PCA) is one of powerful tools to identify overall patterns in the multivariat experimental data. The PCA score plots results revealed a clear classification between Cheongil and Turkey. Additioanlly, each group spread left to right in the X-axis by maturity. Two principal components of the score plot explained 71.1% of the total variance. Principal component 1 was associated with the separation of each group by maturity and isolation of Turkey 1. Conclusion : In this study, we investigated primary metabolites and secondary metabolites (phenolics) in the white fruits (M. alba L. ‘Turkey’) and red fruits (M. alba L. ‘Cheongil’) in order to provide information on change in metabolite patterns during maturation.

Background : Galantamine is mainly obtained from the bulbs and flowers of Galanthus caucasicus, Galanthus woronowii, and other related genera such as Narcissus tazetta, Narcissus pseudonarcissus, Leucojum aestivum, and Lycoris radiata. Galantamine is used to treat Alzheimer’s disease (AD) and as an AD painkiller. Narcissus tazetta (N. tazetta), belonging to the Amaryllidaceae family, is a ornamental plant containing galantamine. In this study, metabolic profiling of N. tazetta different organs was performed. Methods and Results : The amount of galantamine in bulb of N. tazetta is the highest levels. About 0.61 ± 0.09 ㎎/g in bulb, 0.15 ± 0.17 ㎎/g in root, and 0.10 ± 0.0 ㎎/g in leaf. Contents of galantamine in root and leaf are not statistically significant. The total phenolic contents in leaf are the highest level. Rutin and kaempferol are identified all part of N. tazetta. On the other hands, 4-hydroxybenzoic acid is existed in leaf and caffeic acid is only existed in root. None of the bulbs except rutin and kaempferol are identified. Because plant secondary metabolism is closely related to plant primary metabolism, we used GC-TOF-MS on the levels of hydrophilic low-molecular-weight molecules in the N. tazetta. A total of 41 metabolites, including sugars, amino acids, organic compounds, and phenolic acids, were identified and measured, and the resulting quantitative data were subjected to principal components analysis (PCA). The results of PCA of metabolic profiles clearly showed the lack of marked variance among different organs of L. radiata. Two principal components of the score plot explained 86.79% of the total variance (component 1; 55.40%, component 2; 31.39%). Component 1 resolved the separation of leaves from the other plant parts. Conclusion : Narcissus tazetta belongs to amaryllidaceae family. These family has various alkaloids, in particular, galantamine is beneficial to Alzheimer patients. All parts of N. tazetta produce galantamine, in particular, the highest level is existed in the bulb. In contrast, phenolic compounds are identified

Background : Members of Amaryllidaceae family produce several alkaloids with unique structures and a variety of medicinal properties. Galantamine, in particular, is one of the alkaloids approved by the Food and Drug Administration (FDA), and the European Registration Bureau for treatment of Alzheimer’s disease. Lycoris radiata (L. radiata), belonging to the Amaryllidaceae family, is a bulbous plant containing galantamine, which exhibits selective and dominant acetylcholinesterase inhibition. In this study, metabolic profiling of L. radiata different organs was performed. Methods and Results : Galantamine in root, bulb, and leaf of L.radiata analyzed by high performance liquid chromatography (HPLC). The amount of galantamine in leaf is about 1.07 ± 0.17 ㎎/g and it is the higher than bulb (0.88 ± 0.01 ㎎/g) and root (0.75 ± 0.01 ㎎/g). These results are statistically significant. Six phenolics are identified in L. radiata through high performance liquid chromatography. Total amounts of phenolics are the highest in bulb. Because plant secondary metabolism is closely related to plant primary metabolism, we used GC-TOF-MS on the levels of hydrophilic low-molecular-weight molecules in the L. radiata. A total of 41 metabolites, including sugars, amino acids, organic compounds, and phenolic acids, were identified and measured, and the resulting quantitative data were subjected to principal components analysis (PCA). The results of PCA of metabolic profiles clearly showed the lack of marked variance among different organs of L. radiata. Two principal components of the score plot explained 89.4% of the total variance (component 1, 51.86%; component 2, 37.54%). Component 1 resolved the separation of leaves from the other plant parts. Conclusion : Amaryllidaceae family synthesize galantamine belonging to alkaloids. Particularly, in bulb of Lycoris radiata, galantamine contents are the highest level. Thus, bulb is very beneficial for Alzheimer’s disease because the galantamine is well known as treatment of dementia of Alzheimer type.

Background : To evaluate the quality of Glycyrrhizae radix (licorice), a popular herbal medicine in Korea, it is necessary to investigate the component profiles of the Glycyrrhiza species distributed in Korean market. Specifically, to control the quality of Korean Glycyrrhizae radix preparations including raw materials, glycyrrhizin (> 2.5%) and liquiritigenin (> 0.7%) has been used as a standard marker compound in Korea Food and Drug Administration (KFDA). To the best of our knowledge, there have been only a few studies regarding the fingerprinting techniques and metabolomics approach of the phytochemicals in Glycyrrhizae radix in Korean market. Therefore, it is necessary to develop a validated method for botanical raw material (BRM) standardization. Methods and Results : Twenty-one Glycyrrhizae radix (G. glabra, G. uralensis, and G. glabra × G. uralensis) were analyzed by UPLC-QTOF-MS and were estimated to statistical and multivariate analysis. Large scale multi-targeted metabolic profiling and fingerprinting techniques were utilized to access a broader insight into the chemical composition of Glycyrrhiza species. The UV/VIS spectra, and MS data (accurate mass and fragmentation pattern in negative mode) of the components in the BRM of G. glabra, G. uralensis, and G. glabra × G. uralensis (incorporation and hybridization) were analyzed with multivariate analyses. Interestingly, UPLC-QTof-MS derived PCA analysis and fingerprinting techniques was found to be effective techniques in the classification of species based on genetic and/or geographical origins. In addition, the revealed metabolite markers could be utilized as a guidance for the BRM standardization as well as a database for quality control of commercial products containing Glycyrrhizae radix. Conclusion : From the above results, the revealed metabolite markers could be utilized as a guidance for the BRM standardization as well as a database for quality control of commercial products containing Glycyrrhizae radix.

Background : This study was performed to investigate the morphological and growth characteristics and metabolomics approach for the diploid and tetraploid Polygonum multiflorum Thunb (PMT). Methods and Results : The present study was performed to investigate the effective induction method of tetraploid plants using colchicine treatment. To know the morphological and growth characteristics of PMT overground growing was investigated about the stem diameter, leaf length and width, a scape, inflorescence length, chlorophyll, seed length and seed width. Metabolite profiles from P. multiflorum were analyzed by an ultra performance liquid chromatography–quadrupole - time of flight (UPLC-Q-TOF) mass spectrometry (MS). The number of stomata and chlorophyll content was also higher in tetraploid. However, the physiological and morphological characteristics of the newly developed tetraploid showed noticeable results compared to the diploid plant. Also, the inherent characteristics of a newly acquired tetraploid also exhibited better results compared to diploid. Twenty one compounds including catechins from leaf and thirty compounds including stilbenes from roots were identified as major metabolites of PMT. The levels of most root metabolites except dethiobiotin, epigallocatechin gallate, procyanidin B1, epiafzelechin 3-O-gallate, and moupinamide from PMT were higher than those of diploid. The levels of 2,3-digalloylglucose, fallacinol, tricin, physcion-8-O-β-D-glucoside, torachrysone-8-O-β-D-glucopyranoside, questin, aloe-emodin 8-O-(6′-O-acetyl)-glucoside, polydatin, 2,5-dimethyl-7-hydroxychromone, 3,5,4'-trihydroxystilbene, aloe-emodin, myrciacitrin II and ω-hydroxyemodin from teraploid PMT were 342, 32, 31, 21, 11, 11, 9, 8, 6, 5, 4, and 2 times, respectively, higher. Conclusion : From above results, overground growing of tetraploid P. multiflorum is fairly better than that of native P. multiflorum.

Background : The genus of Mentha contains more than 25 species and has been used as cuisines, medicines, cosmetics, oral hygiene products, pharmaceuticals, pesticides, and flavor enhancing agent. Due to economical value of these species, many studies have identified and isolated the beneficial constituents such as flavonoids, terpenoids, and volatile compounds. In this study, the primary and secondary metabolites were investigated from the aerial parts of nine different Mentha species including peppermint (M. piperita), pennyroyal mint (M. pulegium), spearmint (M. spicata), horse mint (M. longifolia), water mint (M. aquatica), apple mint, pineapple mint (M. suaveolens), and chocolate mint, eau de cologne mint (M x piperita hybrids). Also, we reported the antioxidant properties using extracts of obtained plants. Methods and Results : In total, 67 metabolites were detected using gas chromatography time-of-flight mass spectrometry (GC-TOFMS). The difference among nine Mentha spp. by principal components analysis has been investigated. Various phenoilic compounds and carotenoids were characterized quantified in Mentha plants by HPLC. Of these, rosmarinic acid was found to be rich in most of this family. In addition, the highest content of riboflavin were indicated in spearmint. Moreover, the highest antioxidant activities (88.6 % 100 μl/ml in DPPH assay, 76.2% 100 μl/ml in hydrogen peroxide radical scavenging activity, and 0.076 absorbance in reducing power assay) have been shown in horse mint. Conclusion : We determined the differences in accumulation of primary and secondary metabolites (phenolic compound, carotenoid, and riboflavin) among nine Mentha species. Totally, 67 primary metabolites were identified and compared the difference by principal components analysis. Besides, horse mint has the highest and strongest antioxidant activities compared to others.

Background: A set of logical criteria that can accurately identify and verify the cultivation region of raw materials is a critical tool for the scientific management of traditional herbal medicine. Methods and Results: Volatile compounds were obtained from 19 and 32 samples of Angelica gigas Nakai cultivated in Korea and China, respectively, by using steam distillation extraction. The metabolites were identified using GC/MS by querying against the NIST reference library. Data binning was performed to normalize the number of variables used in statistical analysis. Multivariate statistical analyses, such as Principal Component Analysis (PCA), Partial Least Squares-Discriminant Analysis (PLS-DA), and Orthogonal Partial Least Squares-Discriminant Analysis (OPLS-DA) were performed using the SIMCA-P software. Significant variables with a Variable Importance in the Projection (VIP) score higher than 1.0 as obtained through OPLS-DA and those that resulted in p-values less than 0.05 through one-way ANOVA were selected to verify the marker compounds. Among the 19 variables extracted, styrene, α-pinene, and β-terpinene were selected as markers to indicate the origin of A. gigas. Conclusions: The statistical model developed was suitable for determination of the geographical origin of A. gigas. The cultivation regions of six Korean and eight Chinese A. gigas. samples were predicted using the established OPLS-DA model and it was confirmed that 13 of the 14 samples were accurately classified