Literature DB >> 21029322

Mass spectrometry-based metabolomics application to identify quantitative resistance-related metabolites in barley against Fusarium head blight.

Venkatesh Bollina1, G Kenchappa Kumaraswamy, Ajjamada C Kushalappa, Thin Miew Choo, Yves Dion, Sylvie Rioux, Denis Faubert, Habiballah Hamzehzarghani.   

Abstract

Quantitative resistance is generally controlled by several genes. More than 100 resistance quantitative trait loci (QTLs) have been identified in wheat and barley against Fusarium head blight (FHB), caused by Gibberella zeae (anamorph: Fusarium graminearum), implying the possible occurrence of several resistance mechanisms. The objective of this study was to apply metabolomics to identify the metabolites in barley that are related to resistance against FHB. Barley genotypes, Chevron and Stander, were inoculated with mock or pathogen during the anthesis stage. The disease severity was assessed as the proportion of spikelets diseased. The genotype Chevron (0.33) was found to have a higher level of quantitative resistance than Stander (0.88). Spikelet samples were harvested at 48 h post-inoculation; metabolites were extracted and analysed using an LC-ESI-LTQ-Orbitrap (Thermo Fisher, Waltham, MA, USA). The output was imported to an XCMS 1.12.1 platform, the peaks were deconvoluted and the adducts were sieved. Of the 1826 peaks retained, a t-test identified 496 metabolites with significant treatment effects. Among these, 194 were resistance-related (RR) constitutive metabolites, whose abundance was higher in resistant mock-inoculated than in susceptible mock-inoculated genotypes. Fifty metabolites were assigned putative names on the basis of accurate mass, fragmentation pattern and number of carbons in the formula. The RR metabolites mainly belonged to phenylpropanoid, flavonoid, fatty acid and terpenoid metabolic pathways. Selected RR metabolites were assayed in vitro for antifungal activity on the basis of fungal biomass production. The application of these RR metabolites as potential biomarkers for screening and the potential of mass spectrometry-based metabolomics for the identification of gene functions are discussed.
© 2010 The Authors. Molecular Plant Pathology © 2010 BSPP and Blackwell Publishing Ltd.

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Year:  2010        PMID: 21029322      PMCID: PMC6640360          DOI: 10.1111/j.1364-3703.2010.00643.x

Source DB:  PubMed          Journal:  Mol Plant Pathol        ISSN: 1364-3703            Impact factor:   5.663


  38 in total

1.  Identification of metabolites related to mechanisms of resistance in barley against Fusarium graminearum, based on mass spectrometry.

Authors:  Venkatesh Bollina; Ajjamada C Kushalappa; Thin M Choo; Yves Dion; Sylvie Rioux
Journal:  Plant Mol Biol       Date:  2011-08-10       Impact factor: 4.076

2.  Quantitative resistance in potato leaves to late blight associated with induced hydroxycinnamic acid amides.

Authors:  Kalenahalli N Yogendra; Doddaraju Pushpa; Kareem A Mosa; Ajjamada C Kushalappa; Agnes Murphy; Teresa Mosquera
Journal:  Funct Integr Genomics       Date:  2014-01-10       Impact factor: 3.410

3.  Mass spectrometry based metabolomics to identify potential biomarkers for resistance in barley against fusarium head blight (Fusarium graminearum).

Authors:  Kenchappa G Kumaraswamy; Ajjamada C Kushalappa; Thin M Choo; Yves Dion; Sylvie Rioux
Journal:  J Chem Ecol       Date:  2011-06-24       Impact factor: 2.626

4.  Distinguish metabolic profiles and defense enzymes in Alternaria leaf blight resistant and susceptible genotypes of groundnut.

Authors:  M K Mahatma; L K Thawait; K S Jadon; K J Rathod; K H Sodha; S K Bishi; P P Thirumalaisamy; B A Golakiya
Journal:  Physiol Mol Biol Plants       Date:  2019-10-04

5.  The Black Necrotic Lesion Enhanced Fusarium graminearum Resistance in Wheat.

Authors:  Lanfei Zhao; Peisen Su; Bingqian Hou; Hongyan Wu; Yanhui Fan; Wen Li; Jinxiao Zhao; Wenyang Ge; Shoushen Xu; Shiwen Wu; Xin Ma; Anfei Li; Guihua Bai; Hongwei Wang; Lingrang Kong
Journal:  Front Plant Sci       Date:  2022-06-30       Impact factor: 6.627

6.  Metabolo-transcriptome profiling of barley reveals induction of chitin elicitor receptor kinase gene (HvCERK1) conferring resistance against Fusarium graminearum.

Authors:  Shailesh Karre; Arun Kumar; Dhananjay Dhokane; Ajjamada C Kushalappa
Journal:  Plant Mol Biol       Date:  2016-11-14       Impact factor: 4.076

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

Authors:  Benedikt Warth; Alexandra Parich; Christoph Bueschl; Denise Schoefbeck; Nora Katharina Nicole Neumann; Bernhard Kluger; Katharina Schuster; Rudolf Krska; Gerhard Adam; Marc Lemmens; Rainer Schuhmacher
Journal:  Metabolomics       Date:  2014-09-27       Impact factor: 4.290

8.  Metabolomics of cereals under biotic stress: current knowledge and techniques.

Authors:  Dirk Balmer; Victor Flors; Gaetan Glauser; Brigitte Mauch-Mani
Journal:  Front Plant Sci       Date:  2013-04-23       Impact factor: 5.753

9.  Integrated metabolo-proteomic approach to decipher the mechanisms by which wheat QTL (Fhb1) contributes to resistance against Fusarium graminearum.

Authors:  Raghavendra Gunnaiah; Ajjamada C Kushalappa; Raj Duggavathi; Stephen Fox; Daryl J Somers
Journal:  PLoS One       Date:  2012-07-12       Impact factor: 3.240

Review 10.  Metabolomics to Decipher the Chemical Defense of Cereals against Fusarium graminearum and Deoxynivalenol Accumulation.

Authors:  Léa Gauthier; Vessela Atanasova-Penichon; Sylvain Chéreau; Florence Richard-Forget
Journal:  Int J Mol Sci       Date:  2015-10-20       Impact factor: 5.923

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