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GC-MS based targeted metabolic profiling identifies changes in the wheat metabolome following deoxynivalenol treatment

ABSTRACT: Fusarium graminearum and related species commonly infest grains causing the devastating plant disease Fusarium head blight (FHB) and the formation of trichothecene mycotoxins. The most relevant toxin is deoxynivalenol (DON), which acts as a virulence factor of the pathogen. FHB is difficult to control and resistance to this disease is a polygenic trait, mainly mediated by the quantitative trait loci (QTL) Fhb1 and Qfhs.ifa-5A. In this study we established a targeted GC-MS based metabolomics workflow comprising a standardized experimental setup for growth, treatment and sampling of wheat ears and subsequent GC-MS analysis followed by data processing and evaluation of QC measures using tailored statistical and bioinformatics tools. This workflow was applied to wheat samples of six genotypes with varying levels of Fusarium resistance, treated with either DON or water, and harvested 0, 12, 24, 48 and 96 hours after treatment. The results suggest that the primary carbohydrate metabolism and transport, the citric acid cycle and the primary nitrogen metabolism of wheat are clearly affected by DON treatment. Most importantly significantly elevated levels of amino acids and derived amines were observed. In particular, the concentrations of the three aromatic amino acids phenylalanine, tyrosine, and tryptophan increased. No clear QTL specific difference in the response could be observed except a generally faster increase in shikimate pathway intermediates in genotypes containing Fhb1. The overall workflow proved to be feasible and facilitated to obtain a more comprehensive picture on the effect of DON on the central metabolism of wheat.

INSTRUMENT(S): 5975C Series GC/MSD (Agilent)

SUBMITTER: Benedikt Warth

PROVIDER: MTBLS112 | MetaboLights | 2014-10-17

REPOSITORIES: MetaboLights

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GC-MS based targeted metabolic profiling identifies changes in the wheat metabolome following deoxynivalenol treatment.

Warth Benedikt B Parich Alexandra A Bueschl Christoph C Schoefbeck Denise D Neumann Nora Katharina Nicole NK Kluger Bernhard B Schuster Katharina K Krska Rudolf R Adam Gerhard G Lemmens Marc M Schuhmacher Rainer R

Metabolomics : Official journal of the Metabolomic Society 20140927 3

Fusariumgraminearum and related species commonly infest grains causing the devastating plant disease Fusarium head blight (FHB) and the formation of trichothecene mycotoxins. The most relevant toxin is deoxynivalenol (DON), which acts as a virulence factor of the pathogen. FHB is difficult to control and resistance to this disease is a polygenic trait, mainly mediated by the quantitative trait loci (QTL) Fhb1 and Qfhs.ifa-5A. In this study we established a targ ...[more]

PMID: 25972772

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Project description:A comparative study ware made to know the Early Blight resistance mechanism between resistant and susceptible plants at vegetative stage. Transcriptional changes during compatible and resistant reaction between A. solani and tomato genotypes have been identified using Affymetrix tomato gene chips. Results were confirmed by reverse transcription-polymerase chain reaction with the samples collected after 24hrs of inoculation from inoculated and control susceptible and resistant genotypes. The number of up and down regulated genes in three different combinations of treatments i.e. Early Blight Resistant Treated and Control (EBTT and EBTC) and Early Blight Suceptible Treated and Control (EBST and EBSC) has observed and compared. In EBST vs. EBSC condition, 3478 genes are up regulated and 2663 are down regulated. Similarly when analysis is done between EBST and EBRT, 2475 genes are up regulated and 3662 are down regulated. Total 3442 genes are up regulated and 2695 genes are found to be down regulated in resistant line of tomato for early blight when the analysis is done for EBRT Vs. EBRC. These genes, that are induced in the resistant genotype EC-520061(Solanum habrochaites , wild) of tomato, after Alternaria solani infection, have been classified in to following categories, response to stress, cellular component, Metabolic activity, regulation of transcription, regulation of translation, and few were unknown. Data from this study are a resource for understanding the mechanism, which works for resistance against pathogen of early blight in tomato, which is critical and will be useful in improving this trait through transgenic approach or gene silencing. Tomato plants were exposed to A. solani spores and after 24 hrs (at the stage of penetration of tissues with fungal hyphae) samples were collected from both susceptible and resistant genotypes for RNA extraction and hybridization on Affymetrix chips. To study the molecular mechanism of biotic stress resistance, transcripts of both the genotypes were compared in response to A. solani.

Dataset Information

GC-MS based targeted metabolic profiling identifies changes in the wheat metabolome following deoxynivalenol treatment

Publications

GC-MS based targeted metabolic profiling identifies changes in the wheat metabolome following deoxynivalenol treatment.

Similar Datasets

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