2008
DOI: 10.1104/pp.108.120493
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Quantitative 1H Nuclear Magnetic Resonance Metabolite Profiling as a Functional Genomics Platform to Investigate Alkaloid Biosynthesis in Opium Poppy  

Abstract: Opium poppy (Papaver somniferum) produces a diverse array of bioactive benzylisoquinoline alkaloids and has emerged as a versatile model system to study plant alkaloid metabolism. The plant is widely cultivated as the only commercial source of the narcotic analgesics morphine and codeine. Variations in plant secondary metabolism as a result of genetic diversity are often associated with perturbations in other metabolic pathways. As part of a functional genomics platform, we used 1 H nuclear magnetic resonance … Show more

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Cited by 50 publications
(34 citation statements)
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“…Currently, various experimental techniques have been routinely applied to metabolomic analysis including gas chromatography-mass spectroscopy (GCMS), 1 H nuclear magnetic resonance (NMR), electrospray ionization mass spectrometry (ESIMS), high performance liquid chromatography-mass spectrometry (HPLCMS), center for environmental mass spectrometry (CEMS) or a combination of them. [6][7][8][9][10][11][12] Since the generated data are very large and complex for interpreting, the principal component analysis (PCA) has been frequently used to analyze all types of matrices because the method is capable of extracting relevant information from large collection of samples having large number of variables which together make the manual analysis virtually impossible. [13][14][15] Piperaceae species are very common in the tropics with ca.…”
Section: Introductionmentioning
confidence: 99%
“…Currently, various experimental techniques have been routinely applied to metabolomic analysis including gas chromatography-mass spectroscopy (GCMS), 1 H nuclear magnetic resonance (NMR), electrospray ionization mass spectrometry (ESIMS), high performance liquid chromatography-mass spectrometry (HPLCMS), center for environmental mass spectrometry (CEMS) or a combination of them. [6][7][8][9][10][11][12] Since the generated data are very large and complex for interpreting, the principal component analysis (PCA) has been frequently used to analyze all types of matrices because the method is capable of extracting relevant information from large collection of samples having large number of variables which together make the manual analysis virtually impossible. [13][14][15] Piperaceae species are very common in the tropics with ca.…”
Section: Introductionmentioning
confidence: 99%
“…Whilst the entire scope of possibilities is beyond what we can enter into here this emergent research field is expertly reviewed by Redestig et al, 2011. Here, we will only highlight specific examples of particular pertinence to understanding gene-metabolite interactions. Several recent studies have illustrated the utility of combining data from metabolomics with that from other genomics platforms to provide new insights into both gene annotation (Goossens et al, 2003;Achnine et al, 2005;Fridman & Pichersky, 2005;Hagel et al, 2008) and regulation in complex biological systems (Urbanczyk-Wochniak et al, 2003;Alba et al, 2005;Hirai et al, 2005). These approaches have resulted in the identification of numerous candidate genes including several in which expression correlates strongly with the levels of metabolites with important nutritional or organoleptic properties.…”
Section: Integration Of Omic Data With Physiological Traitsmentioning
confidence: 99%
“…Opium poppy (Familiy papaveraceae, 2n=22), a natural manufacturer of these opioids, has emerged as a versatile model system to study physiological, morphological as well as molecular aspects of alkaloids (HAGEL et al 2008). Yield potential has always been a point of concern for every breeding experiment.…”
Section: Introductionmentioning
confidence: 99%