Dataset Information

High-Throughput Detection of an Alkaloidal Plant Metabolome in Plant Extracts Using LC-ESI-QTOF-MS.

ABSTRACT: Plant alkaloids represent a diverse group of nitrogen-containing natural products. These compounds are considered valuable in drug discovery and development. High-throughput identification of such plant secondary metabolites in complex plant extracts is essential for drug discovery, lead optimization, and understanding the biological pathway. The present study aims to rapidly identify different classes of alkaloids in plant extracts through the liquid chromatography with electrospray ionization-tandem mass spectrometry (LC-ESI-MS/MS) approach using 161 isolated and purified alkaloids. These are biologically important unique alkaloids belonging to different sub-classes such as isoquinoline, quinoline, indole, tropane, pyridine, piperidine, quinolizidine, aporphine, steroidal, and terpenoid. The majority of these are not available commercially and are known to manifest valuable biological activities. Four pools of a maximum of 50 phytostandards each were prepared, based on their log P value to minimize co-elution for rapid and cost-effective analyses. MS/MS spectra were acquired in the positive ionization mode by using their [M + H]⁺ and/or [M + Na]⁺ with both the average collisional energy (25.5-62 eV) and individual collisional energies (10, 20, 30, and 40 eV). Accurate mass, high-resolution mass spectrometry (HR-MS) data, MS/MS data, and retention times were curated for each compound. The developed LC-MS/MS method was successfully used to interrogate and fast dereplicate alkaloids in 13 medicinal plant extracts and a herbal formulation. A total of 56 alkaloids were identified based on the reference standard retention times (RTs), HR-MS spectra, and/or MS/MS spectra. The MS data have been submitted to the MetaboLights online database (MTBLS2914). The mass spectrometric and chromatographic data will be useful for the discovery of new congeners and the study of biological pathways of alkaloids in the plant kingdom.

INSTRUMENT(S): Liquid Chromatography MS - positive - reverse phase

PROVIDER: MTBLS2914 | MetaboLights | 2023-12-12

REPOSITORIES: MetaboLights

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High-Throughput Detection of an Alkaloidal Plant Metabolome in Plant Extracts Using LC-ESI-QTOF-MS.

Zareena Bibi B Khadim Adeeba A Jeelani Syed Usama Y SUY Hussain Saddam S Ali Arslan A Musharraf Syed Ghulam SG

Journal of proteome research 20210726 8

Plant alkaloids represent a diverse group of nitrogen-containing natural products. These compounds are considered valuable in drug discovery and development. High-throughput identification of such plant secondary metabolites in complex plant extracts is essential for drug discovery, lead optimization, and understanding the biological pathway. The present study aims to rapidly identify different classes of alkaloids in plant extracts through the liquid chromatography with electrospray ionization- ...[more]

PMID: 34308647

Publication: 1/2

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Project description:Background: Dendrobium officinale, an endangered Chinese herb, has extensive therapeutic effects and contains bioactive ingredients including a large number of polysaccharides and alkaloids, and minimal flavonoids. Firstly, this study attempts to obtain the protocorm-like bodies of this plant through tissue culture to produce the main secondary metabolites whose distribution in each organelle and protocorm like bodies is analyzed. Then, analysis of the correlation between comparative transcriptome sequence and the metabolite content in different organs enables the discovery of putative genes encoding enzymes involved in the biosynthesis of polysaccharides and alkaloids, and flavonoids. Results: The optimum condition for protocorm-like bodies (PLBs) induction and propagation of D. officinale is established. For protocorm induction, we use the seed as the explant, and the optimum medium formula for PLBs propagation is 1/2 MS + α-NAA 0.5 mg·L-1 +6-BA 1.0 mg·L-1 + 2, 4-D 1.5-2.0 mg·L-1 + potato juice 100 g·L-1. The distribution of polysaccharides, alkaloids and flavonoids in D. officinale organs was clarified. Stems, PLBs and leaves have the highest content of polysaccharides, alkaloids and flavonoids, respectively. PLBs replace organs to produce alkaloids in D. officinale, and naringenin was only produced in stem. Hot water extraction (HWE) method was found outperforming the ultrasound-assisted extraction (UAE) method for polysaccharides from D. officinale. A comparative transcriptome analysis of the protocorm-like bodies and leaves of D. officinale showed genes encoding enzymes involved in polysaccharides, alkaloids and flavonoids biosynthetic pathway were differentially expressed. Putative genes encoding enzymes involved in polysaccharides, alkaloids and flavonoids synthetic pathway were identified. Notably, genes encoding enzymes of strictosidine beta-glucosidase, geissoschizine synthase and vinorine synthase in alkaloids biosynthesis of D. officinale are first reported. Conclusions: Our works, especially the identification of candidate genes encoding enzymes involved in metabolites biosynthesis will help to explore and protect the endangered genetic resources and will also facilitate further analysis of the molecular mechanism of secondary metabolites’ biosynthesis in D. officinale.

Project description:We conducted a genome-wide survey of genes in Ae. aegypti females that are transcriptionally responsive upon challenge with dengue virus (serotype-2). The array was designed with 60-mer oligos specific to 16,092 gene transcripts of gene build AaegL1.1 (www. vectorbase.org). The hybridizations were performed at NimbleGen. We provided total RNA purified from the infected and control samples to NimbleGen. To identify dengue-specific transcription response (DTR) genes of MS and MR females upon infection with DENV2-JAM1409, a total of 15 independent samples (12 test samples and 3 control samples) were used for array hybridizations. These consisted of four DENV2 infected samples (MS-3hr, MR-3hr, MS-18hr and MR-18hr, post-infection, respectively) and a control sample that consisted of RNA isolated at the same time points following uninfected blood meals and pooled across strains and time of sampling. Three independent biological replicates were prepared for each of the above five samples were used for hybridizations. The Ae. aegypti genes responsive to dengue infection were identified in MOYO-S (MS) and MOYO-R (MR) females, upon challenging them with DENV serotype-2, by a genome-wide transcriptome analysis carried out using the NimbleGen oligonucleotide microarray format. We profiled gene expressions of Aedes aegypti mosquitoes, strain MOYO-S (MS, susceptible to dengue virus) and MOYO-R (MR, refractory to dengue virus) at 3 hr and 18 hr after infection with dengue virus (seroptype-2). The test samples were prepared in parallel to the control samples. The control samples were derived from females fed with normal blood that was not mixed with dengue (mock infection). The test samples were prepared from females that were fed with blood mixed with dengue virus (infectious meal). A total of 12 test samples were prepared that represented three biological replicates of dengue infected MS females at 3hr and 18 post-infection times; and MR females at 3hr and 18hr post-infection times. The test samples were compared to a common uninfected control that was prepared by pooling equal amount RNA of the individual control of both strains and both post-infection time points (MS at 3hr, MS at 18 hr, MR at 3hr and MR at 18hr). The control-pool strategy ensured us to identify genes that were responsive in response to dengue infection but not due to genetic differences between the two strains or developmental changes between the two post-infection time points. A total of 3 control pools were used in our array expression studies. Control-1 was prepared from RNA isolated from individual controls set up along with each of the test samples (MS at 3hr, MS at 18 hr, MR at 3hr and MR at 18hr) for the first biological replication. Similarly, control-2 was prepared from individual controls set up along with each of the test samples (MS at 3hr, MS at 18 hr, MR at 3hr and MR at 18hr) for the second biological replication. And control-3 was prepared from individual controls set up along with each of the test samples (MS at 3hr, MS at 18 hr, MR at 3hr and MR at 18hr) for the third biological replication. Thus, the three control pools represented three biological replicates corresponding to the three biological replicates of the test samples.

			Action	DRS
	ALK01.mzXML	Mzxml
	ALK01MSMS.mzXML	Mzxml
	ALK02MSMS.mzXML	Mzxml
	ALK03MSMS.mzXML	Mzxml
	ALK04MSMS.mzXML	Mzxml

Dataset Information

High-Throughput Detection of an Alkaloidal Plant Metabolome in Plant Extracts Using LC-ESI-QTOF-MS.

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Publications

High-Throughput Detection of an Alkaloidal Plant Metabolome in Plant Extracts Using LC-ESI-QTOF-MS.

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