Metabolic profiling and factor analysis to discriminate quantitative resistance in wheat cultivars against fusarium head blight

Hamzehzarghani, Habiballah; Kushalappa, Ajjamada C.; Dion, Yves; Rioux, S.; Comeau, A.; Yaylayan, Varoujan A.; Marshall, William D.; Mather, D. E.

doi:10.1016/j.pmpp.2005.05.005

Cited by 103 publications

(87 citation statements)

References 34 publications

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“…From these data the proportion of spikelets diseased out of mid ten spikelets (PSD) on 14 d, and the area under the disease progress curve (AUDPC) (Hamzehzarghani et al 2005) were determined and used to evaluate type I resistance. The experiment was designed as a completely randomized block, with five blocks over time.…”

Section: Disease Severity Assessmentmentioning

confidence: 99%

“…Metabolomics has been used to phenotype resistance in wheat against Gibberella zeae and several pathogenesis related (Hamzehzarghani et al 2005) and resistance related metabolites have been identified in different genotypes (Hamzehzarghani et al 2008a;Paranidharan et al 2008). The pathogenicity related (PR) metabolites are those that are over expressed following pathogen inoculation, while the resistance related (RR) metabolites are those that have higher concentration in a resistant genotype compared to a susceptible genotype.…”

Section: Introductionmentioning

confidence: 99%

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Metabolomics technology to phenotype resistance in barley against Gibberella zeae

et al. 2011

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The mechanisms of resistance in barley to fusarium head blight (FHB), caused by Gibberella zeae are complex. Metabolomics technology was explored to phenotype resistance. Spikelets of barley genotypes with contrasting levels of resistance to FHB, mock inoculated or with the pathogen, were extracted with aqueous methanol and the metabolites were analyzed using liquid chromatography and hybrid mass spectrometry. Peaks were de-convoluted using XCMS and annotated using CAMERA and IntelliXtract bioinformatics tools. A t-test, of a total of 1608 purified peaks, selected 626 metabolites with significant treatment effects, of which 161 were identified as resistance related (RR) metabolites. A total of 53 metabolites, that are RR or pathogenicity related (PR), were assigned with putative compound names. These mainly belonged to three metabolic pathways: fatty acid (jasmonic acid, methyl jasmonate, 9,10-dihydroisojasmonate, linolenic acid, linoleic acid, traumatic acid), phenylpropanoid (p-coumaric acid, caffeyl alcohol, dimethoxy-4-phenylcoumarin, rosmarinic acid, diphyllin, 5-methoxypodophyllotoxin) and flavonoid (naringenin, catechin, quercetin, and alpinumisoflavone). A few PR/RR metabolites significantly reduced mycelial growth of G. zeae in vitro.

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Section: Disease Severity Assessmentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Metabolomics technology to phenotype resistance in barley against Gibberella zeae

et al. 2011

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“…With grapes, various studies show that changes in primary metabolites (e.g. alanine, inositol, and glutamine) may also contribute to an elevated resistance to stress (Figueiredo et al, 2008;Hamzehzarghani et al, 2005). Moreover, a huge number of secondary metabolites has been documented in grape products, in particular in wine and juice.…”

Section: Introductionmentioning

confidence: 99%

Profiling of primary metabolites and flavonols in leaves of two table grape varieties collected from semiarid and temperate regions

et al. 2015

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“…In addition, Hamzehzarghani et al (2005) suggested that the constitutive accumulation of sugars in Fig. 2.…”

Section: Discussionmentioning

confidence: 99%

Metabolite profiling of Mexican lime (Citrus aurantifolia) leaves during the progression of witches’ broom disease

Mollayi

Zadali

Farzaneh

et al. 2015

Phytochemistry Letters

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Metabolic profiling and factor analysis to discriminate quantitative resistance in wheat cultivars against fusarium head blight

Cited by 103 publications

References 34 publications

Metabolomics technology to phenotype resistance in barley against Gibberella zeae

Metabolomics technology to phenotype resistance in barley against Gibberella zeae

Profiling of primary metabolites and flavonols in leaves of two table grape varieties collected from semiarid and temperate regions

Metabolite profiling of Mexican lime (Citrus aurantifolia) leaves during the progression of witches’ broom disease

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