Preliminary study on biomarkers for the fungal resistance in Vitis vinifera leaves

Batovska, Daniela; Todorova, Irina; Nedelcheva, D.; Parushev, Stoyan; Atanassov, A.; Hvarleva, T.; Djakova, G.J.; Bankova, Vassya; Попов, Симеон

doi:10.1016/j.jplph.2007.09.005

Cited by 35 publications

(35 citation statements)

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“…Furthermore, 2OH4MP has been found in roasted cocoa [ 29 ], fermented soybean [ 30 ] and cyanobacteria [ 31 ]. 3OHBc is present in grape leaf tissue [ 32 ] and has been proposed as a biomarker of grape fungal resistance by Batovska et al [ 33 ]. To the best of our knowledge, no specific studies have so far been carried out to quantify the hydroxy acid potential precursors of any of these important fruity esters in wine or any other product.…”

Section: Introductionmentioning

confidence: 99%

Quantitative determination of five hydroxy acids, precursors of relevant wine aroma compounds in wine and other alcoholic beverages

2015

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A method for the quantitative determination of 2 hydroxy 2 methylbutanoic (2OH2MB), 2 hydroxy 3 methylbutanoic (2OH3MB), 3 hydroxy 3 methylbutanoic (3OH3MB), 2 hydroxy 4 methylpentanoic (2OH4MP) and 3 hydroxybutanoic (3OHB) acids has been optimized, validated and applied to a set of wines and other alcoholic beverages. The analytes were preconcentrated in a solid phase extraction cartridge and derivatized with 2,3,4,5,6 pentafluorobenzyl bromide at room temperature for 30 min, followed by GC MS analysis. Detection limits were between 0.5 and 29 μg L , and linearity was maintained up to 3 or 12 mg L , depending on the analyte. Recovery values were between 85 and 106 %, and reproducibility was better than 12 % RSD in most cases. The first specific study of these analytes in wine and other alcoholic beverages is herein reported. Concentrations ranged from the method detection limits to 7820, 519, 8510, 3470 and 2500 μg L for 2OH2MB, 2OH3MB, 3OH3MB, 2OH4MP and 3OHB, respectively, which may have relevant sensory effects. These products were not found in distillates (except 3OHB) but were all present in beer. 2OH2MB, 3OH3MB and 3OHB were found in unfermented grape derivatives. Sherry wines had the highest levels of all except for 3OHB.

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Section: Introductionmentioning

confidence: 99%

Quantitative determination of five hydroxy acids, precursors of relevant wine aroma compounds in wine and other alcoholic beverages

2015

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“…Our aim is to identify resistance-related metabolites and project them as potential biomarker metabolites. Based on GC-MS, biomarker metabolites have been identified for fungal resistance in grapes (Batovska et al 2008). A comprehensive metabolic profiling (GC-MS) of rice, during various stages of development, revealed 21 biomarker metabolites (e.g., phenylalanine, salicylic acid, p-hydroxybenzoic acid, and pyroglutamic acid) (Tarpley et al 2005).…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2011

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Fusarium head blight (FHB) is an economically important disease of the family Triticeae, as, apart from yield reduction it also causes quality deterioration by producing mycotoxins. Host resistance is the most promising way to control the disease. Metabolic profiling was applied to identify resistance related (RR) metabolites against Fusarium graminearum in five FHB-resistant genotypes ('Chevron', 'H5277-44', 'H5277-164', 'M92-513' and 'M122') relative to one FHB-susceptible genotype ('Stander'). The disease severity was assessed in greenhouse to group the genotypes based on FHB-resistance. The disease was quantified as the proportion of diseased spikelets (PSD) and the area under the disease progress curve (AUDPC). Spikelets were collected at 72 h post inoculation. Metabolites were extracted into an aqueous solution of methanol and analyzed using a LC-hybrid-MS system. Metabolite abundances were subjected to a resistant versus susceptible pair-wise analysis, using a t test. Resistance related (RR) metabolites, both constitutive (RRC) and induced (RRI), were identified amongst metabolites whose levels were significantly higher in resistant genotype than in susceptible. Among 1,430 RR metabolites, 115 were putatively identified. These RR metabolites belonged to different chemical groups: fatty acids: linolenic acid; phenylpropanoids: p-coumaric, sinapic acid; flavonoids: naringenin, kaempferol glucoside, catechol glucoside. In addition, resistance indicator metabolites, such as deoxynivalenol (DON) and DON-3-O-glucoside (D3G) were also detected. The amount of total DON synthesized converted to D3G (PDC) was the greatest in resistant genotype 'Chevron' (PDC = 0.76). The role of the resistance-related and resistance-indicator metabolites on plant defense, and their use as potential biomarkers to screen barley genotypes for FHB resistance is discussed.

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“…Numerous studies already indicate that a complex network of secondary metabolites is influenced by biotic stress challenges. Next to phenylpropanoids, including flavonoids [51][52][53], alkaloids [54,55], terpenoids [52], and fatty acids [56] are known to be up-regulated [10]. In addition, activities [35].…”

Section: From Biotic Stress Metabolomics To Metabolic Responsementioning

confidence: 99%

Functional Metabolomics – a Useful Tool to Characterize Stress-Induced Metabolome Alterations Opening New Avenues Towards Tailoring Food Crop Quality

Dawid¹,

Hille²

2018

Preprint

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The breeding of stress-tolerant cultivated plants that would allow for a reduction in harvest losses and undesirable decrease in quality attributes requires a new quality of knowledge on molecular markers associated with relevant agronomic traits, on quantitative metabolic responses of plants on stress challenges, and on the mechanisms controlling the biosynthesis of these molecules. By combining metabolomics with genomics, transcriptomics and proteomics datasets a more comprehensive knowledge of the composition of crop plants used for food or animal feed is possible. In order to optimize crop trait developments, to enhance crop yields and quality, as well as to guarantee nutritional and health factors, that provides the possibility to create functional food or feedstuffs, the knowledge about the plants' metabolome is crucial. Next to classical metabolomics studies, this review focusses on several metabolomics based working techniques, such as sensomics, lipidomics, hormonomics and phytometabolomics, which were used to characterize metabolome alterations during abiotic and biotic stress, to find resistant food crops with a preferred quality or at least to produce functional food crops are highlighted.Keywords: Plant stress, abiotic stress, biotic stress, metabolomics, phytometabolomics, sensomics, phytohormonics, LC-MS/MS, NMR, targeted metabolomics, untargeted metabolomics, functional food. Importance of metabolomics for agricultural researchIn their environment plants are often exposed to an enormous number of biotic and abiotic stress factors, such as pathogen and insect infestation as well as extreme temperatures, drought, salinity, pollutants, heavy metals or nutritional deficiencies, that lead to harvest or quality losses, such as the formation of a pronounced bitter off-flavor, and sometimes causes toxicological problems as well as huge global economic losses [1]. The breeding of stress-tolerant cultivated plants that would allow for a reduction in harvest losses and undesirable decrease in quality attributes requires a new quality of knowledge on molecular markers associated with relevant agronomic traits, on quantitative metabolic responses of plants on stress challenges, and on the mechanisms controlling the biosynthesis of these molecules. Thereby, the knowledge of the biologically active metabolites, especially, secondary metabolites as well as metabolic networks of primary and secondary metabolites that were affected upon plant stress conditions are inalienable. For a long time, primary and also secondary metabolites were simply considered as one of the end-products of gene expression and protein activity. Nowadays, it is increasingly accepted that lowmolecular weight molecules modulate macromolecular processes through, e. g. feedback inhibitionand by signaling phytohormons [8]. Therefore, Dixon et al. [8] conclude that, metabolomic studies are "intended to provide an integrated view of the functional status of an organism".Although for a single plant like Arabidosis thaliana no more than ...

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Preliminary study on biomarkers for the fungal resistance in Vitis vinifera leaves

Cited by 35 publications

References 8 publications

Quantitative determination of five hydroxy acids, precursors of relevant wine aroma compounds in wine and other alcoholic beverages

Quantitative determination of five hydroxy acids, precursors of relevant wine aroma compounds in wine and other alcoholic beverages

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

Functional Metabolomics – a Useful Tool to Characterize Stress-Induced Metabolome Alterations Opening New Avenues Towards Tailoring Food Crop Quality

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Preliminary study on biomarkers for the fungal resistance in Vitis vinifera leaves

Cited by 35 publications

References 8 publications

Quantitative determination of five hydroxy acids, precursors of relevant wine aroma compounds in wine and other alcoholic beverages

Quantitative determination of five hydroxy acids, precursors of relevant wine aroma compounds in wine and other alcoholic beverages

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

Functional Metabolomics &ndash; a Useful Tool to Characterize Stress-Induced Metabolome Alterations Opening New Avenues Towards Tailoring Food Crop Quality

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Functional Metabolomics – a Useful Tool to Characterize Stress-Induced Metabolome Alterations Opening New Avenues Towards Tailoring Food Crop Quality