scholarly journals Extensive Metabolite Profiling in the Unexploited Organs of Black Tiger for Their Potential Valorization in the Pharmaceutical Industry

Life ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 544
Author(s):  
Jianfei Gao ◽  
Kangning Xiong ◽  
Wei Zhou ◽  
Weijie Li
Keyword(s):  
Acid Metabolism ◽  
Metabolite Profile ◽  
Industrial Applications ◽  
Targeted Metabolomics ◽  
Arginine Biosynthesis ◽  
Nutritional Values ◽  
Phenylpropanoid Biosynthesis ◽  
Tyrosine Metabolism ◽  
Organ Specific ◽  
Widely Targeted Metabolomics

Black tiger (Kadsura coccinea (Lem.)) has been reported to hold enormous pharmaceutical potential. The fruit and rhizome of black tiger are highly exploited in the pharmaceutical and other industries. However, the most important organs from the plant such as the leaf and stem are considered biowastes mainly because a comprehensive metabolite profile has not been reported in these organs. Knowledge of the metabolic landscape of the unexploited black tiger organs could help identify and isolate important compounds with pharmaceutical and nutritional values for a better valorization of the species. In this study, we used a widely targeted metabolomics approach to profile the metabolomes of the K. coccinea leaf (KL) and stem (KS) and compared them with the root (KR). We identified 642, 650 and 619 diverse metabolites in KL, KS and KR, respectively. A total of 555 metabolites were mutually detected among the three organs, indicating that the leaf and stem organs may also hold potential for medicinal, nutritional and industrial applications. Most of the differentially accumulated metabolites between organs were enriched in flavone and flavonol biosynthesis, phenylpropanoid biosynthesis, arginine and proline metabolism, arginine biosynthesis, tyrosine metabolism and 2-oxocarboxylic acid metabolism pathways. In addition, several important organ-specific metabolites were detected in K. coccinea. In conclusion, we provide extensive metabolic information to stimulate black tiger leaf and stem valorization in human healthcare and food.

scholarly journals Integrated Transcriptomic and Un-Targeted Metabolomics Analysis Reveals Mulberry Fruit (Morus atropurpurea) in Response to Sclerotiniose Pathogen Ciboria shiraiana Infection

2020 ◽  
Vol 21 (5) ◽  
pp. 1789 ◽  
Author(s):  
Lijun Bao ◽  
Hongpeng Gao ◽  
Zelin Zheng ◽  
Xiaoxiao Zhao ◽  
Minjuan Zhang ◽  
...  
Keyword(s):  
Molecular Mechanisms ◽  
Early Stage ◽  
Metabolite Profile ◽  
Northwest China ◽  
Targeted Metabolomics ◽  
Mulberry Fruit ◽  
Phenylpropanoid Biosynthesis ◽  
Mapman Analysis ◽  
Mulberry Fruits ◽  
Prevention Methods

Mulberry sclerotiniose caused by Ciboria shiraiana is a devastating disease of mulberry (Morus alba L.) fruit in Northwest China. At present, no disease-resistant varieties are used in production, as the molecular mechanisms of this disease are not well understood. In this study, to explore new prevention methods and provide direction for molecular breeding, transcriptomic sequencing and un-targeted metabolomics were performed on healthy (CK), early-stage diseased (HB1), and middle-stage diseased (HB2) mulberry fruits. Functional annotation, gene ontology, a Kyoto encyclopedia of genes and genomes (KEGG) analysis, and a Mapman analysis of the differentially expressed genes revealed differential regulation of genes related to plant hormone signal transduction, transcription factors, and phenylpropanoid biosynthesis. A correspondence between the transcript pattern and metabolite profile was observed in the phenylpropanoid biosynthesis pathway. It should be noted that the log2 ratio of eugenol (isoeugenol) in HB1 and HB2 are 85 times and 23 times higher than CK, respectively. Our study shows that phenylpropanoid biosynthesis may play an essential role in response to sclerotiniose pathogen infection and eugenol(isoeugenol) enrichment in mulberry fruit, which may provide a novel method for mulberry sclerotiniose control.

Comprehensive Analysis of Transcriptomics and Metabolomics between the Heads and Tails of Angelica Sinensis: Genes Related to Phenylpropanoid Biosynthesis Pathway

2020 ◽  
Vol 23 ◽  
Author(s):  
Jie Yang ◽  
Chi Zhang ◽  
Wei-Hong Li ◽  
Tian-Er Zhang ◽  
Guang-Zhong Fan ◽  
...  
Keyword(s):  
Ferulic Acid ◽  
Metabolic Regulation ◽  
Comprehensive Analysis ◽  
Angelica Sinensis ◽  
Rna Seq ◽  
Targeted Metabolomics ◽  
Kegg Pathways ◽  
Qrt Pcr ◽  
Phenylpropanoid Biosynthesis ◽  
Combined Strategy

Background:: In Traditional Chinese Medicine (TCM), the heads and tails of Angelica sinensis (Oliv.) Diels (AS) is used in treating different diseases due to their different pharmaceutical efficacies. The underline mechanisms, however, have not been fully explored. Objective:: Novel mechanisms responsible for the discrepant activities between AS heads and tails were explored by a combined strategy of transcriptomes and metabolomics. Method:: Six pairs of the heads and tails of AS roots were collected in Min County, China. Total RNA and metabolites, which were used for RNA-seq and untargeted metabolomics analysis, were respectively isolated from each AS sample (0.1 g) by Trizol and methanol reagent. Subsequently, differentially expressed genes (DEGs) and discrepant pharmaceutical metabolites were identified for comparing AS heads and tails. Key DEGs and metabolites were quantified by qRT-PCR and targeted metabolomics experiment. Results:: Comprehensive analysis of transcriptomes and metabolomics results suggested that five KEGG pathways with significant differences included 57 DEGs. Especially, fourteen DEGs and six key metabolites were relation to the metabolic regulation of Phenylpropanoid biosynthesis (PB) pathway. Results of qRT-PCR and targeted metabolomics indicated that higher levels of expression of crucial genes in PB pathway, such as PAL, CAD, COMT and peroxidase in the tail of AS were positively correlated with levels of ferulic acid-related metabolites. The average content of ferulic acid in tails (569.58162.39 nmol/g) was higher than those in the heads (168.73  67.30 nmol/g) (P˂0.01); Caffeic acid in tails (3.82  0.88 nmol/g) vs heads (1.37  0.41 nmol/g) (P˂0.01), and Cinnamic acid in tails (0.24  0.09 nmol/g) vs heads (0.14  0.02 nmol/g) (P˂0.05). Conclusion:: Our work demonstrated that overexpressed genes and accumulated metabolites derived from PB pathway might be responsible for the discrepant pharmaceutical efficacies between AS heads and tails.

scholarly journals A non-targeted LC–MS metabolic profiling of pregnancy: longitudinal evidence from healthy and pre-eclamptic pregnancies

Metabolomics ◽  
2021 ◽  
Vol 17 (2) ◽  
Author(s):  
Tiina Jääskeläinen ◽  
◽  
Olli Kärkkäinen ◽  
Jenna Jokkala ◽  
Anton Klåvus ◽  
...  
Keyword(s):  
Large Scale ◽  
Scale Effects ◽  
Late Pregnancy ◽  
Metabolite Profile ◽  
Adverse Outcomes ◽  
Liquid Chromatography Mass Spectrometry ◽  
Targeted Metabolomics ◽  
Serum Samples ◽  
Healthy Women ◽  
Maternal Metabolism

Abstract Introduction Maternal metabolism changes substantially during pregnancy. However, few studies have used metabolomics technologies to characterize changes across gestation. Objectives and methods We applied liquid chromatography–mass spectrometry (LC–MS) based non-targeted metabolomics to determine whether the metabolic profile of serum differs throughout the pregnancy between pre-eclamptic and healthy women in the FINNPEC (Finnish Genetics of Preeclampsia Consortium) Study. Serum samples were available from early and late pregnancy. Results Progression of pregnancy had large-scale effects to the serum metabolite profile. Altogether 50 identified metabolites increased and 49 metabolites decreased when samples of early pregnancy were compared to samples of late pregnancy. The metabolic signatures of pregnancy were largely shared in pre-eclamptic and healthy women, only urea, monoacylglyceride 18:1 and glycerophosphocholine were identified to be increased in the pre-eclamptic women when compared to healthy controls. Conclusions Our study highlights the need of large-scale longitudinal metabolomic studies in non-complicated pregnancies before more detailed understanding of metabolism in adverse outcomes could be provided. Our findings are one of the first steps for a broader metabolic understanding of the physiological changes caused by pregnancy per se.

scholarly journals Combined Metabolome and Transcriptome Analyses of Young, Mature, and Old Rhizome Tissues of Zingiber officinale Roscoe

2021 ◽  
Vol 12 ◽  
Author(s):  
Huanfang Liu ◽  
Honghua Yang ◽  
Tong Zhao ◽  
Canjia Lin ◽  
Yongqing Li ◽  
...  
Keyword(s):  
Linoleic Acid ◽  
Acid Metabolism ◽  
Zingiber Officinale ◽  
Sucrose Metabolism ◽  
Gene Expressions ◽  
Zingiber Officinale Roscoe ◽  
Ginger Rhizome ◽  
Linoleic Acid Metabolism ◽  
Phenylpropanoid Biosynthesis ◽  
Metabolome Profiling

Ginger (Zingiber officinale Roscoe) is known for its unique pungent taste and useability in traditional Chinese medicine. The main compounds in ginger rhizome can be classified as gingerols, diarylheptanoids, and volatile oils. The composition and concentrations of the bioactive compounds in ginger rhizome might vary according to the age of the rhizome. In this regard, the knowledge on the transcriptomic signatures and accumulation of metabolites in young (Y), mature (M), and old (O) ginger rhizomes is scarce. This study used HiSeq Illumina Sequencing and UPLC-MS/MS analyses to delineate how the expression of key genes changes in Y, M, and O ginger rhizome tissues and how it affects the accumulation of metabolites in key pathways. The transcriptome sequencing identified 238,157 genes of which 13,976, 11,243, and 24,498 were differentially expressed (DEGs) in Y vs. M, M vs. O, and Y vs. O, respectively. These DEGs were significantly enriched in stilbenoid, diarylheptanoid, and gingerol biosynthesis, phenylpropanoid biosynthesis, plant-hormone signal transduction, starch and sucrose metabolism, linoleic acid metabolism, and α-linoleic acid metabolism pathways. The metabolome profiling identified 661 metabolites of which 311, 386, and 296 metabolites were differentially accumulated in Y vs. M, Y vs. O, and M vs. O, respectively. These metabolites were also enriched in the pathways mentioned above. The DEGs and DAMs enrichment showed that the gingerol content is higher in Y rhizome, whereas the Y, M, and O tissues differ in linoleic and α-linoleic acid accumulation. Similarly, the starch and sucrose metabolism pathway is variably regulated in Y, M, and O rhizome tissues. Our results showed that ginger rhizome growth slows down (Y > M > O) probably due to changes in phytohormone signaling. Young ginger rhizome is the most transcriptionally and metabolically active tissue as compared to M and O. The transitioning from Y to M and O affects the gingerol, sugars, linoleic acid, and α-linoleic acid concentrations and related gene expressions.

scholarly journals Changes in Metabolome and Nutritional Quality of Lycium barbarum Fruits from Three Typical Growing Areas of China as Revealed by Widely Targeted Metabolomics

Metabolites ◽  
2020 ◽  
Vol 10 (2) ◽  
pp. 46 ◽  
Author(s):  
Yajun Wang ◽  
Xiaojie Liang ◽  
Yuekun Li ◽  
Yunfang Fan ◽  
Yanlong Li ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Light Intensity ◽  
Nutritional Quality ◽  
Climatic Factors ◽  
Northwest China ◽  
High Light Intensity ◽  
Climatic Conditions ◽  
Targeted Metabolomics ◽  
Lycium Barbarum ◽  
Widely Targeted Metabolomics

This study aimed at assessing the climatic factors influencing the wolfberry fruit morphology, and the composition of its nutritious metabolites. The cultivar Ningqi1, widely grown in Northwest China was collected from three typical ecological growing counties with contrasting climatic conditions: Ningxia Zhongning (NF), Xinjiang Jinghe (XF) and Qinghai Nomuhong (QF). During the ripening period, 45 fruits from different plantations at each location were sampled. A total of 393 metabolites were detected in all samples through the widely targeted metabolomics approach and grouped into 19 known classes. Fruits from QF were the biggest followed by those from XF and NF. The altitude, relative humidity and light intensity had negative and strong correlations with most of the metabolites, suggesting that growing wolfberry in very high altitudes and under high light intensity is detrimental for the fruit nutritional quality. Soil moisture content is highly and negatively correlated with vitamins, organic acids and carbohydrates while moderately and positively correlated with other classes of metabolites. In contrast, air and soil temperatures exhibited positive correlation with majority of the metabolites. Overall, our results suggest high soil and air temperatures, low altitude and light intensity and moderate soil moisture, as the suitable conditions to produce Lycium fruits with high content of nutritious metabolites.

scholarly journals Extensive Metabolic Profiles of Leaves and Stems from the Medicinal Plant Dendrobium officinale Kimura et Migo

Metabolites ◽  
2019 ◽  
Vol 9 (10) ◽  
pp. 215 ◽  
Author(s):  
Cao ◽  
Ji ◽  
Li ◽  
Lu ◽  
Tian ◽  
...  
Keyword(s):  
Genomic Research ◽  
Dendrobium Officinale ◽  
Metabolic Profiles ◽  
Asian Countries ◽  
Targeted Metabolomics ◽  
Medicinal Species ◽  
Metabolomic Data ◽  
Metabolite Profiles ◽  
Widely Targeted Metabolomics ◽  
Metabolic Data

Dendrobium officinale Kimura et Migo is a commercially and pharmacologically highly prized species widely used in Western Asian countries. In contrast to the extensive genomic and transcriptomic resources generated in this medicinal species, detailed metabolomic data are still missing. Herein, using the widely targeted metabolomics approach, we detect 649 diverse metabolites in leaf and stem samples of D. officinale. The majority of these metabolites were organic acids, amino acids and their derivatives, nucleotides and their derivatives, and flavones. Though both organs contain similar metabolites, the metabolite profiles were quantitatively different. Stems, the organs preferentially exploited for herbal medicine, contained larger concentrations of many more metabolites than leaves. However, leaves contained higher levels of polyphenols and lipids. Overall, this study reports extensive metabolic data from leaves and stems of D. officinale, providing useful information that supports ongoing genomic research and discovery of bioactive compounds.

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