scholarly journals Metabolomics-Driven Discovery of an Introduced Species and Two Malaysian Piper betle L. Variants

Plants ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2510
Author(s):  
Muhamad Faris Osman ◽  
Soo Yee Lee ◽  
Shahrul Razid Sarbini ◽  
Siti Munirah Mohd Faudzi ◽  
Shamsul Khamis ◽  
...  
Keyword(s):  
1H Nmr ◽  
Dna Sequences ◽  
Principal Component ◽  
Preliminary Evidence ◽  
Peninsular Malaysia ◽  
Piper Betle ◽  
Its2 Region ◽  
Methanolic Extracts ◽  
Metabolite Profiles ◽  
Chemical Profiles

The differences in pungency of “sirih” imply the probable occurrence of several variants of Piper betle L. in Malaysia. However, the metabolite profiles underlying the pungency of the different variants remain a subject of further research. The differences in metabolite profiles of selected Malaysian P. betle variants were thus investigated; specifically, the leaf aqueous methanolic extracts and essential oils were analyzed via 1H-NMR and GC-MS metabolomics, respectively. Principal component analysis (PCA) of the 1H-NMR spectral data showed quantitative differences in the metabolite profiles of “sirih melayu” and “sirih india” and revealed an ambiguous group of samples with low acetic acid content, which was identified as Piper rubro-venosum hort. ex Rodigas based on DNA sequences of the internal transcribed spacer 2 (ITS2) region. The finding was supported by PCA of two GC-MS datasets of P. betle samples obtained from several states in Peninsular Malaysia, which displayed clustering of the samples into “sirih melayu” and “sirih india” groups. Higher abundance of chavicol acetate was consistently found to be characteristic of “sirih melayu”. The present research has provided preliminary evidence supporting the notion of occurrence of two P. betle variants in Malaysia based on chemical profiles, which may be related to the different genders of P. betle.

scholarly journals Metabolite Profiles of Red and Yellow Watermelon (Citrullus lanatus) Cultivars Using a 1H-NMR Metabolomics Approach

Molecules ◽  
2020 ◽  
Vol 25 (14) ◽  
pp. 3235 ◽  
Author(s):  
Fadzil Sulaiman ◽  
Amalina Ahmad Azam ◽  
Muhammad Safwan Ahamad Bustamam ◽  
Sharida Fakurazi ◽  
Faridah Abas ◽  
...  
Keyword(s):  
1H Nmr ◽  
Deuterium Oxide ◽  
Citrullus Lanatus ◽  
Principal Component ◽  
Solvent System ◽  
Proton Nuclear Magnetic Resonance ◽  
Metabolite Profiles ◽  
Polar Metabolites ◽  
Distinct Color ◽  
Β Carotene

Watermelon, a widely commercialized fruit, is famous for its thirst-quenching property. The broad range of cultivars, which give rise to distinct color and taste, can be attributed to the differences in their chemical profile, especially that of the carotenoids and volatile compounds. In order to understand this distribution properly, water extracts of red and yellow watermelon pulps with predominantly polar metabolites were subjected to proton nuclear magnetic resonance (1H-NMR) analysis. Deuterium oxide (D2O) and deuterated chloroform (CDCl3) solvents were used to capture both polar and non-polar metabolites from the same sample. Thirty-six metabolites, of which six are carotenoids, were identified from the extracts. The clustering of the compounds was determined using unsupervised principal component analysis (PCA) and further grouping was achieved using supervised orthogonal partial least squares discriminant analysis (OPLS-DA). The presence of lycopene, β-carotene, lutein, and prolycopene in the red watermelon plays an important role in its differentiation from the yellow cultivar. A marked difference in metabolite distribution was observed between the NMR solvents used as evidenced from the PCA model. OPLS-DA and relative quantification of the metabolites, on the other hand, helped in uncovering the discriminating metabolites of the red and yellow watermelon cultivars from the same solvent system.

Effects of Saccharomyces Cerevisiae Strains on Chemical Profiles of Cabernet Sauvignon Wines: Based on the Combined Results of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS

2018 ◽  
Vol 18 (2) ◽  
pp. 115-131
Author(s):  
Liang Heng-Yu ◽  
Su Ning ◽  
Guo Kun ◽  
Wang Yuan ◽  
Yang De-Yu
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Principal Component ◽  
Grape Juice ◽  
Pilot Scale ◽  
Ethyl Esters ◽  
Cabernet Sauvignon ◽  
Esi Ms ◽  
H Nmr ◽  
Chemical Profiles ◽  
Indigenous Yeasts

Five Saccharomyces cerevisiae strains (Chinese indigenous yeasts SC5, WC5, SC8, CC17 and commercial starter F15) were inoculated into Cabernet sauvignon grape must and fermented at pilot scale. For the first time, combination of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS metabonomic profiling techniques was performed to analyze the global chemical fingerprints of sampled wines at the end of alcoholic and malolactic fermentation respectively, then 13 non-volatile flavor compounds, 52 volatile organic aromas and 43 polyphenolic molecules were identified and determined correspondently. All principal component analysis (PCA) of two fermentation stages based on the analytical results of 1H NMR, HS-SPME/GC-MS and HPLC-DAD-ESI-MS/MS divided these strains into three clusters: (1) SC5 and SC8, (2) WC5 and F15 and (3) CC17. The wine fermented by indigenous yeast, CC17, showed a very unique chemical profile, such as low pH and high color intensity, reduced amino acids (including proline) and the lowest total higher alcohols levels, most of the fixed acids, glycerol, ethyl esters and anthocyanins concentrations. The statistical results indicate that CC17 strain possesses very special anabolism and catabolism abilities on such substances in grape juice and has potentiality to produce characteristic wines with high qualities.

Piper nigrum Oil – Determination of Selected Terpenes for Quality Evaluation

Planta Medica ◽  
2018 ◽  
Vol 85 (03) ◽  
pp. 185-194 ◽  
Author(s):  
Mei Wang ◽  
Amar Chittiboyina ◽  
Jon Parcher ◽  
Zulfiqar Ali ◽  
Paul Ford ◽  
...  
Keyword(s):  
Quality Evaluation ◽  
Geographical Location ◽  
Chemical Characterization ◽  
Principal Component ◽  
Cost Effective ◽  
Black Pepper ◽  
Piper Nigrum ◽  
Ms Analysis ◽  
Chemical Profiles ◽  
High Concentrations

AbstractThe growing demand and commercial value of black pepper (Piper nigrum) has resulted in considerable interest in developing suitable and cost-effective methods for chemical characterization and quality evaluation purposes. In the current study, an extensive set of oil samples (n = 23) that were extracted by steam distillation from black pepper seeds was investigated to compare the chemical profiles of samples originating from nine major producing countries, as well as to identify potential chemical markers for quality evaluation. The twenty-two most abundant volatile compounds, mainly terpenes, in these oils were determined by conventional GC/MS analysis. Principal component analysis with this set of data revealed distinct clusters for samples that originated from China and Malaysia. Relatively low concentrations of sabinene (< 0.2%) and high concentrations of 3-carene (10.9 – 21.1%) were observed in these samples, respectively, compared to oil samples from other countries. The enantiomeric distributions of key terpene markers, viz., β-pinene, sabinene, limonene, and terpinen-4-ol, were determined by chiral GC/MS analysis. Interestingly, for these four monoterpenes, levo-isomers were found to be predominant, emphasizing the highly conserved enzymatic processes occurring in P. nigrum. Moreover, consistent enantiomeric ratios ((−) isomer/(+) isomer) of 92.2 ± 3.0% for β-pinene, 94.8 ± 2.8% for sabinene, 60.7 ± 1.1% for limonene, and 78.3 ± 1.3% for terpinen-4-ol were observed, independent of geographical location. These results demonstrate the potential of using stereospecific compositions as chiral signatures for establishing the authenticity and quality of black pepper oil.

scholarly journals Fingerprinting Acute Digestive Diseases by Untargeted NMR Based Metabolomics

2018 ◽  
Vol 19 (11) ◽  
pp. 3288 ◽  
Author(s):  
Panteleimon Takis ◽  
Antonio Taddei ◽  
Riccardo Pini ◽  
Stefano Grifoni ◽  
Francesca Tarantini ◽  
...  
Keyword(s):  
Abdominal Pain ◽  
1H Nmr ◽  
Intestinal Ischemia ◽  
Principal Component ◽  
Disease Diagnosis ◽  
Proton Nuclear Magnetic Resonance ◽  
Mechanical Obstruction ◽  
Symptomatic Gallstones ◽  
Symptom Group ◽  
Upper Abdominal

Precision medicine may significantly contribute to rapid disease diagnosis and targeted therapy, but relies on the availability of detailed, subject specific, clinical information. Proton nuclear magnetic resonance (1H–NMR) spectroscopy of body fluids can extract individual metabolic fingerprints. Herein, we studied 64 patients admitted to the Florence main hospital emergency room with severe abdominal pain. A blood sample was drawn from each patient at admission, and the corresponding sera underwent 1H–NMR metabolomics fingerprinting. Unsupervised Principal Component Analysis (PCA) analysis showed a significant discrimination between a group of patients with symptoms of upper abdominal pain and a second group consisting of patients with diffuse abdominal/intestinal pain. Prompted by this observation, supervised statistical analysis (Orthogonal Partial Least Squares–Discriminant Analysis (OPLS-DA)) showed a very good discrimination (>90%) between the two groups of symptoms. This is a surprising finding, given that neither of the two symptoms points directly to a specific disease among those studied here. Actually herein, upper abdominal pain may result from either symptomatic gallstones, cholecystitis, or pancreatitis, while diffuse abdominal/intestinal pain may result from either intestinal ischemia, strangulated obstruction, or mechanical obstruction. Although limited by the small number of samples from each of these six conditions, discrimination of these diseases was attempted. In the first symptom group, >70% discrimination accuracy was obtained among symptomatic gallstones, pancreatitis, and cholecystitis, while for the second symptom group >85% classification accuracy was obtained for intestinal ischemia, strangulated obstruction, and mechanical obstruction. No single metabolite stands up as a possible biomarker for any of these diseases, while the contribution of the whole 1H–NMR serum fingerprint seems to be a promising candidate, to be confirmed on larger cohorts, as a first-line discriminator for these diseases.

scholarly journals Direct Analysis in Real Time by Mass Spectrometric Technique for Determining the Variation in Metabolite Profiles ofCinnamomum tamalaNees and Eberm Genotypes

2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Vineeta Singh ◽  
Atul Kumar Gupta ◽  
S. P. Singh ◽  
Anil Kumar
Keyword(s):  
Real Time ◽  
Principal Component ◽  
Direct Analysis ◽  
Ion Source ◽  
Diabetic Patients ◽  
Phytochemical Analysis ◽  
Active Components ◽  
Cinnamomum Tamala ◽  
Wide Range ◽  
Metabolite Profiles

Cinnamomum tamalaNees & Eberm. is an important traditional medicinal plant, mentioned in various ancient literatures such as Ayurveda. Several of its medicinal properties have recently been proved. To characterize diversity in terms of metabolite profiles ofCinnamomum tamalaNees and Eberm genotypes, a newly emerging mass spectral ionization technique direct time in real time (DART) is very helpful. The DART ion source has been used to analyze an extremely wide range of phytochemicals present in leaves ofCinnamomum tamala. Ten genotypes were assessed for the presence of different phytochemicals. Phytochemical analysis showed the presence of mainly terpenes and phenols. These constituents vary in the different genotypes ofCinnamomum tamala. Principal component analysis has also been employed to analyze the DART data of theseCinnamomumgenotypes. The result shows that the genotype ofCinnamomum tamalacould be differentiated using DART MS data. The active components present inCinnamomum tamalamay be contributing significantly to high amount of antioxidant property of leaves and, in turn, conditional effects for diabetic patients.

scholarly journals Differences in the metabolite profiles of tender leaves of wheat, barley, rye and Triticale based on LC-MS

2020 ◽  
Author(s):  
Piyi Xing ◽  
Zhenqiao Song ◽  
Xingfeng Li
Keyword(s):  
Mass Spectrometry ◽  
Liquid Chromatography ◽  
Principal Component ◽  
Liquid Chromatography Mass Spectrometry ◽  
Metabolomics Data ◽  
Chromatography Mass Spectrometry ◽  
Metabolite Profiles ◽  
Positive Mode ◽  
Sugar Derivatives ◽  
Important Basis

AbstractWheatgrass has emerged as a functional food source in recent years, but the detailed metabolomics basis for its health benefits remains poorly understood. In this study, liquid chromatography-mass spectrometry (LC-MS) analysis were used to study the metabolic profiling of seedlings from wheat, barley, rye and triticale, which revealed 1800 features in positive mode and 4303 features in negative mode. Principal component analysis (PCA) showed clear differences between species, and 164 differentially expressed metabolites (DEMs) were detected, including amino acids, organic acids, lipids, fatty acids, nucleic acids, flavonoids, amines, polyamines, vitamins, sugar derivatives and others. Unique metabolites in each species were identified. This study provides a glimpse into the metabolomics profiles of wheat and its wild relatives, which may form an important basis for nutrition, health and other parameters.Practical ApplicationThis manuscript present liquid chromatography-mass spectrometry (LC-MS) results of young sprouts of common wheat and its relatives. Our results may help to better understand the natural variation due to the genotype before metabolomics data are considered for application to wheatgrass and can provide a basis (assessment) for its potential pharmaceutical and nutritional value.

Phytophthora colocasiae. [Distribution map].

1997 ◽  
Author(s):  
Keyword(s):  
Tamil Nadu ◽  
Solomon Islands ◽  
Uttar Pradesh ◽  
American Samoa ◽  
Peninsular Malaysia ◽  
Piper Betle ◽  
Mariana Islands ◽  
Distribution Map ◽  
Brunei Darussalam ◽  
Phytophthora Colocasiae

Abstract A new distribution map is provided for Phytophthora colocasiae Racib. Fungi: Oomycota: Peronosporales Hosts: Mainly Colocasia and Xanthosoma spp., also rubber (Hevea brasiliensis), Piper betle, Vinca rosea. Information is given on the geographical distribution in ASIA, Bangladesh, Brunei Darussalam, China, Fujian, Guangdong, Guangxi, Hainan, Hebei, Hubei Hunan, Jiangsu, Jiangxi, Sichuan, Yunnan, Hong Kong, India, Andaman and Nicobar Islands, Andhra Pradesh, Arunachal Pradesh, Assam, Bihar, Karnataka, Kerala, Madhya Pradesh, Maharashtra, Punjab, Tamil Nadu, Uttar Pradesh, West Bengal, Indonesia, Irian Jaya, Java, Japan, Honshu, Ryukyu Archipelago, Malaysia, Peninsular Malaysia, Sabah, Sarawak, Myanmar, Nepal, Pakistan, Philippines, Sri Lanka, Taiwan, Thailand, AFRICA, Equatorial Guinea, Ethiopia, Seychelles, NORTH AMERICA, USA, Hawaii, North Carolina, CENTRAL AMERICA & CARIBBEAN, Dominican Republic, SOUTH AMERICA, Argentina, OCEANIA, American Samoa, Fed. States of Micronesia, Fiji, Guam, Northern Mariana Islands, Palau, Papua New Guinea, Samoa, Solomon Islands.

scholarly journals Metabolite profile comparison of a graft chimera ‘Hongrou Huyou’ (Citrus changshan-huyou + Citrus unshiu) and its two donor plants

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Min Zhang ◽  
Luyang Jing ◽  
Qun Wu ◽  
Kaijie Zhu ◽  
Fuzhi Ke ◽  
...  
Keyword(s):  
Principal Component ◽  
Metabolite Profile ◽  
Citrus Unshiu ◽  
Primary Metabolites ◽  
Citrus Breeding ◽  
Metabolite Profiles ◽  
Germacrene D ◽  
The Relationship ◽  
Different Tissues ◽  
Juice Sacs

Abstract Background Chimeras synthesized artificially by grafting are crucial to the breeding of perennial woody plants. ‘Hongrou Huyou’ (Citrus changshan-huyou + Citrus unshiu) is a new graft chimera originating from the junction where a Citrus changshan-huyou (“C”) scion was top-grafted onto a stock Satsuma mandarin ‘Owari’ (C. unshiu, “O”). The chimera was named OCC because the cell layer constitutions were O for Layer 1(L1) and C for L2 and L3. In this study, profiles of primary metabolites, volatiles and carotenoids derived from different tissues in OCC and the two donors were investigated, with the aim of determining the relationship between the layer donors and metabolites. Results The comparison of the metabolite profiles showed that the amount and composition of metabolites were different between the peels and the juice sacs, as well as between OCC and each of the two donors. The absence or presence of specific metabolites (such as the carotenoids violaxanthin and β-cryptoxanthin, the volatile hydrocarbon germacrene D, and the primary metabolites citric acid and sorbose) in each tissue was identified in the three phenotypes. According to principal component analysis (PCA), overall, the metabolites in the peel of the chimera were derived from donor C, whereas those in the juice sac of the chimera came from donor O. Conclusion The profiles of primary metabolites, volatiles and carotenoids derived from the peels and juice sacs of OCC and the two donors were systematically compared. The content and composition of metabolites were different between the tissues and between OCC and the each of the two donors. A clear donor dominant pattern of metabolite inheritance was observed in the different tissues of OCC and was basically consistent with the layer origin; the peel of the chimera was derived from C, and the juice sacs of the chimera came from O. These profiles provide potential chemical markers for genotype differentiation, citrus breeding assessment, and donor selection during artificial chimera synthesis.

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