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

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          Abstract

          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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          Genome-wide association mapping of leaf metabolic profiles for dissecting complex traits in maize.

          The diversity of metabolites found in plants is by far greater than in most other organisms. Metabolic profiling techniques, which measure many of these compounds simultaneously, enabled investigating the regulation of metabolic networks and proved to be useful for predicting important agronomic traits. However, little is known about the genetic basis of metabolites in crops such as maize. Here, a set of 289 diverse maize inbred lines was genotyped with 56,110 SNPs and assayed for 118 biochemical compounds in the leaves of young plants, as well as for agronomic traits of mature plants in field trials. Metabolite concentrations had on average a repeatability of 0.73 and showed a correlation pattern that largely reflected their functional grouping. Genome-wide association mapping with correction for population structure and cryptic relatedness identified for 26 distinct metabolites strong associations with SNPs, explaining up to 32.0% of the observed genetic variance. On nine chromosomes, we detected 15 distinct SNP-metabolite associations, each of which explained more then 15% of the genetic variance. For lignin precursors, including p-coumaric acid and caffeic acid, we found strong associations (P values to ) with a region on chromosome 9 harboring cinnamoyl-CoA reductase, a key enzyme in monolignol synthesis and a target for improving the quality of lignocellulosic biomass by genetic engineering approaches. Moreover, lignin precursors correlated significantly with lignin content, plant height, and dry matter yield, suggesting that metabolites represent promising connecting links for narrowing the genotype-phenotype gap of complex agronomic traits.
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            Signature-Discovery Approach for Sample Matching of a Nerve-Agent Precursor Using Liquid Chromatography−Mass Spectrometry, XCMS, and Chemometrics

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              Review of research on Dendrobium, a prized folk medicine.

              Medicinal plants of the Dendrobium genus are highly prized, and hence, methodologies have been developed to authenticate Dendrobium drugs from its adulterants. Many bioactive constituents of Dendrobium species have been identified. The macromolecules included lectins; the enzymes chalcone synthase, sucrose synthase, and cytokinin oxidase; and polysaccharides. The polysaccharides display immunomodulatory and hepatoprotective activities. Alkaloids exhibit antioxidant, anticancer, and neuroprotective activities. Other compounds manifest antioxidant, anticancer, and immunomodulatory.
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                Author and article information

                Journal
                Metabolites
                Metabolites
                metabolites
                Metabolites
                MDPI
                2218-1989
                04 October 2019
                October 2019
                : 9
                : 10
                : 215
                Affiliations
                [1 ]Institute of Flower Research, Yunnan Academy of Agricultural Sciences, No. 2238, Beijing Road, Kunming 650200, Yunnan, China; caohua19811227@ 123456126.com (H.C.); kmlijinbin@ 123456163.com (L.L.); tminfl@ 123456yeah.net (M.T.); cygsgg141111@ 123456163.com (W.Y.)
                [2 ]National Engineering Technology Research Center for Ornamental Horticulture, No. 2238, Beijing Road, Kunming 650200, Yunnan, China
                [3 ]College of Landscape and Horticulture, Yunnan Agricultural University, No. 452, Fengyuan Road, Kunming 650201, Yunnan, China; July55775@ 123456outlook.com
                Author notes
                [* ]Correspondence: zhaoyan@ 123456ynau.edu.cn ; Tel.: +86-1338-8840-427
                [†]

                These authors contributed equally to this study.

                Article
                metabolites-09-00215
                10.3390/metabo9100215
                6835975
                31590300
                642421d8-49d5-4c96-94fa-b0bcd2ce6c7e
                © 2019 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 10 September 2019
                : 01 October 2019
                Categories
                Communication

                dendrobium officinale,widely targeted metabolomics,bioactive compounds,plant organs

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