Metabonomic Strategy for the Investigation of the Mode of Action of the Phytotoxin (5S,8R,13S,16R)-(−)-Pyrenophorol Using 1H Nuclear Magnetic Resonance Fingerprinting

Chrysayi-Tokousbalides, Maria

doi:10.1021/jf0527798

Cited by 31 publications

(17 citation statements)

References 32 publications

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“…Central to these approaches is the application of a variety of robust analytical platforms such as, nuclear magnetic resonance spectroscopy (NMR) (Ratcliffe and Shachar-Hill 2001;Ott et al 2003;Ward et al 2003;Aliferis and Chrysayi-Tokousbalides 2006) and mass spectrometry (MS) (Fiehn et al 2000;Castrillo et al 2003;Smedsgaard and Nielsen 2004;Desbrosses et al 2005;Allwood et al 2008;Takahashi et al 2008). In spite of the importance of fungal metabolites, thorough assessment of their diverse metabolic landscape using metabolomic approaches is still in its infancy and has not been fully exploited.…”

Section: Introductionmentioning

confidence: 99%

1H NMR and GC-MS metabolic fingerprinting of developmental stages of Rhizoctonia solani sclerotia

Jabaji

2009

Metabolomics

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Rhizoctonia solani AG-3 is a soilborne plant pathogen that forms resting vegetative structures called sclerotia. These compact structures are crucial to the pathogen's survival and pathogenesis. The metabolic changes occurring during sclerotia development were monitored using proton nuclear magnetic resonance ( 1 H NMR) spectroscopy and gas chromatography-mass spectrometry (GC-MS). The validation, discrimination, and the establishment of correlative relationships between metabolite signals were performed by principal component analysis (PCA) and partial least squares-discriminant analysis (PLS-DA). The results of the analyses suggested that out of the 116 compounds that were simultaneously analyzed and compared using GC-MS, a-a-trehalose, D-glucose, 9-(Z)-octadecenoic and 9,12-octadecadienoic acids, xylitol, and glucitol were key metabolites that were highly dependent on the developmental stage of the sclerotia contributing to their discrimination and classification. Furthermore, the application of 1 H NMR and GC-MS metabolic fingerprinting on the same biological sample provided complementary information illustrating the value of this integrated approach in the study of metabolic changes in fungal structures.

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Section: Introductionmentioning

confidence: 99%

1H NMR and GC-MS metabolic fingerprinting of developmental stages of Rhizoctonia solani sclerotia

Jabaji

2009

Metabolomics

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“…41) However multivariate analysis (by PCA, PLS-DA and SIMCA) showed that although pyrenophorol treated samples were clearly differentiated from controls, they did not coclassify with any of the selected herbicide treatments.…”

Section: Chemical Treatments Environmental Influences and Pathogensmentioning

confidence: 93%

Use of NMR for metabolic profiling in plant systems

Colquhoun

2007

J. Pestic. Sci.

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The review deals with the applications of solution state 1 H NMR to the metabolic profiling of plant tissue extracts. NMR is introduced as one of several measurement techniques that are being used in metabolomics. Samples are measured as extract mixtures without any chromatographic separation of individual compounds. Although a limited quantitative measurement of individual components is feasible, the data analysis generally relies on the application of multivariate statistical methods to the whole spectral traces. Design of experiments and sample preparation and measurement procedures are discussed. Applications are grouped under three major headings: classification and taxonomy; genetically modified plants; chemical treatments, environmental influences and pathogens. The final section introduces some of the newer technologies that will extend the scope of NMR metabolic profiling, including the hyphenation of HPLC with UV, MS and NMR detection.

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“…These details can be found in more extensive reviews dealing only with metabolomics (e.g., Aliferis and Chysayi-Tokousbalides, 2011). One approach to metabolomics is to generate one-dimensional (1D) proton NMR ( 1 H NMR) spectral fingerprints of crude extracts, hoping that the resulting information can provide clues to the mode of action, by comparing with fingerprints of phytotoxins with known modes of action (e.g., Ott et al, 2003; Aliferis and Chysayi-Tokousbalides, 2006). For obvious reasons, this method is inferior to actually identifying and quantifying each compound.…”

Section: Metabolomicsmentioning

confidence: 99%

“…This work was later expanded to 19 modes (Ott et al, 2003). The mode of action of the phytotoxin (5S,8R,13S,16R)-(1)-pyrenophorol was probed in Avena sterilis by using a 1 H-NMR fingerprinting of metabolites (Aliferis and Chysayi-Tokousbalides, 2006). The fingerprint did not correspond to those of the herbicides diuron, glyphosate, mesotrione, norflurazon, oxadiazon, or paraquat.…”

Section: Metabolomicsmentioning

confidence: 99%

Omics Methods for Probing the Mode of Action of Natural and Synthetic Phytotoxins

2013

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For a little over a decade, omics methods (transcriptomics, proteomics, metabolomics, and physionomics) have been used to discover and probe the mode of action of both synthetic and natural phytotoxins. For mode of action discovery, the strategy for each of these approaches is to generate an omics profile for phytotoxins with known molecular targets and to compare this library of responses to the responses of compounds with unknown modes of action. Using more than one omics approach enhances the probability of success. Generally, compounds with the same mode of action generate similar responses with a particular omics method. Stress and detoxification responses to phytotoxins can be much clearer than effects directly related to the target site. Clues to new modes of action must be validated with in vitro enzyme effects or genetic approaches. Thus far, the only new phytotoxin target site discovered with omics approaches (metabolomics and physionomics) is that of cinmethylin and structurally related 5-benzyloxymethyl-1,2-isoxazolines. These omics approaches pointed to tyrosine amino-transferase as the target, which was verified by enzyme assays and genetic methods. In addition to being a useful tool of mode of action discovery, omics methods provide detailed information on genetic and biochemical impacts of phytotoxins. Such information can be useful in understanding the full impact of natural phytotoxins in both agricultural and natural ecosystems.

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Metabonomic Strategy for the Investigation of the Mode of Action of the Phytotoxin (5S,8R,13S,16R)-(−)-Pyrenophorol Using ¹H Nuclear Magnetic Resonance Fingerprinting

Cited by 31 publications

References 32 publications

1H NMR and GC-MS metabolic fingerprinting of developmental stages of Rhizoctonia solani sclerotia

1H NMR and GC-MS metabolic fingerprinting of developmental stages of Rhizoctonia solani sclerotia

Use of NMR for metabolic profiling in plant systems

Omics Methods for Probing the Mode of Action of Natural and Synthetic Phytotoxins

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