Metabolic changes in Euphorbia palusrtis latex after fungal infection

Krstić, Gordana; Anđelković, Boban; Choi, Young Hae; Vajs, Vlatka; Stević, Tatjana; Tešević, Vele; Gođevac, Dejan

doi:10.1016/j.phytochem.2016.08.005

Cited by 15 publications

(10 citation statements)

References 35 publications

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“…This is supported by reports of the decrease in the expression of rubber synthesis genes when the expression of triterpene synthesis genes increases (Niephaus et al 2019;Post et al 2012). This was all reflected in the metabolome of the latex of E. palustris during fungal infection (Krstić et al 2016). Thus, the literature and our results demonstrate that the selective accumulation and increase in concentration of 24methylenecycloartanol in Euphorbia latexes is not random.…”

Section: Discussionsupporting

confidence: 71%

“…Nevertheless, the isolated triterpenoid did not show strong effect on the growth inhibition of B. cinerea with relatively high MEC in the range of 500-1000 μg/mL. However, the low activity could be overcome by the natural presence in latexes as high as 11,000 μg/mL (Krstić et al 2016).…”

Section: Discussionmentioning

confidence: 79%

“…β-Sitosterol, α-amyrin, β-amyrin, oleanolic-and usrosolic acid were purchased from Sigma-Aldrich (St-Louis, MO, USA). 24-Methylencycloartanol was previously isolated from the latex of E. palustris (Krstić et al 2016).…”

Section: Reference Compoundsmentioning

confidence: 99%

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Latex Metabolome of Euphorbia Species: Geographical and Inter-Species Variation and its Proposed Role in Plant Defense against Herbivores and Pathogens

et al. 2021

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Based on the hypothesis that the variation of the metabolomes of latex is a response to selective pressure and should thus be affected differently from other organs, their variation could provide an insight into the defensive chemical selection of plants. Metabolic profiling was used to compare tissues of three Euphorbia species collected in diverse regions. The metabolic variation of latexes was much more limited than that of other organs. In all the species, the levels of polyisoprenes and terpenes were found to be much higher in latexes than in leaves and roots of the corresponding plants. Polyisoprenes were observed to physically delay the contact of pathogens with plant tissues and their growth. A secondary barrier composed of terpenes in latex and in particular, 24-methylenecycloartanol, exhibited antifungal activity. These results added to the well-known role of enzymes also present in latexes, show that these are part of a cooperative defense system comprising biochemical and physical elements.

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Section: Discussionsupporting

confidence: 71%

Section: Discussionmentioning

confidence: 79%

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Latex Metabolome of Euphorbia Species: Geographical and Inter-Species Variation and its Proposed Role in Plant Defense against Herbivores and Pathogens

et al. 2021

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“…Contemporary metabolomic fingerprinting is relatively fast, providing extensive information about relationships among samples, chemical and functional diversity of living organisms (Ivanišević et al 2011 ), and has important roles in: (a) discovery of novel bioactive compounds, (b) chemotaxonomic evaluation of organisms (Christensen et al 1999 ; dos Santos et al 2017 ; Farag et al 2012a , 2013b ; Ivanišević et al 2011 ; Jing et al 2015 ), (c) quality control of herbal preparations and natural products (Farag et al 2013a ; Farag and Wessjohann 2012 ), (d) elucidating causative relations between exogenous factors and metabolic changes in organisms (Allwood et al 2008 ; Krstic et al 2016 ; Shulaev et al 2008 ; Xie et al 2014 ), and (e) tracking metabolome differences influenced by geographic origin (Farag et al 2012b ; Krstic et al 2016 ).…”

Section: Introductionmentioning

confidence: 99%

Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles

et al. 2018

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IntroductionContemporary metabolomic fingerprinting is based on multiple spectrometric and chromatographic signals, used either alone or combined with structural and chemical information of metabolic markers at the qualitative and semiquantitative level. However, signal shifting, convolution, and matrix effects may compromise metabolomic patterns. Recent increase in the use of qualitative metabolomic data, described by the presence (1) or absence (0) of particular metabolites, demonstrates great potential in the field of metabolomic profiling and fingerprint analysis.ObjectivesThe aim of this study is a comprehensive evaluation of binary similarity measures for the elucidation of patterns among samples of different botanical origin and various metabolomic profiles.MethodsNine qualitative metabolomic data sets covering a wide range of natural products and metabolomic profiles were applied to assess 44 binary similarity measures for the fingerprinting of plant extracts and natural products. The measures were analyzed by the novel sum of ranking differences method (SRD), searching for the most promising candidates.ResultsBaroni-Urbani–Buser (BUB) and Hawkins–Dotson (HD) similarity coefficients were selected as the best measures by SRD and analysis of variance (ANOVA), while Dice (Di1), Yule, Russel-Rao, and Consonni-Todeschini 3 ranked the worst. ANOVA revealed that concordantly and intermediately symmetric similarity coefficients are better candidates for metabolomic fingerprinting than the asymmetric and correlation based ones. The fingerprint analysis based on the BUB and HD coefficients and qualitative metabolomic data performed equally well as the quantitative metabolomic profile analysis.ConclusionFingerprint analysis based on the qualitative metabolomic profiles and binary similarity measures proved to be a reliable way in finding the same/similar patterns in metabolomic data as that extracted from quantitative data.Electronic supplementary materialThe online version of this article (10.1007/s11306-018-1327-y) contains supplementary material, which is available to authorized users.

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“…Metabolic changes in Euphorbia palustris latex after infection with F. sporotrichioides have been observed. The latex of infected plants was found to contain higher levels of benzoyl ingenol-laurate and 24-methylenecycloartanol, and these compounds were strongly correlated with the antifungal activity of the latex [ 58 ]. In contrast, the antifungal action of EOs or active component of EOs against phytopathogenic and/or toxigenic Fusarium spp.…”

Section: Discussionmentioning

confidence: 99%

Comparative Analysis of Machine Learning Methods to Predict Growth of F. sporotrichioides and Production of T-2 and HT-2 Toxins in Treatments with Ethylene-Vinyl Alcohol Films Containing Pure Components of Essential Oils

Mateo

Gómez

Tarazona

et al. 2021

Toxins

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The efficacy of ethylene-vinyl alcohol copolymer films (EVOH) incorporating the essential oil components cinnamaldehyde (CINHO), citral (CIT), isoeugenol (IEG), or linalool (LIN) to control growth rate (GR) and production of T-2 and HT-2 toxins by Fusarium sporotrichioides cultured on oat grains under different temperature (28, 20, and 15 °C) and water activity (aw) (0.99 and 0.96) regimes was assayed. GR in controls/treatments usually increased with increasing temperature, regardless of aw, but no significant differences concerning aw were found. Toxin production decreased with increasing temperature. The effectiveness of films to control fungal GR and toxin production was as follows: EVOH-CIT > EVOH-CINHO > EVOH-IEG > EVOH-LIN. With few exceptions, effective doses of EVOH-CIT, EVOH-CINHO, and EVOH-IEG films to reduce/inhibit GR by 50%, 90%, and 100% (ED50, ED90, and ED100) ranged from 515 to 3330 µg/culture in Petri dish (25 g oat grains) depending on film type, aw, and temperature. ED90 and ED100 of EVOH-LIN were >3330 µg/fungal culture. The potential of several machine learning (ML) methods to predict F. sporotrichioides GR and T-2 and HT-2 toxin production under the assayed conditions was comparatively analyzed. XGBoost and random forest attained the best performance, support vector machine and neural network ranked third or fourth depending on the output, while multiple linear regression proved to be the worst.

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Metabolic changes in Euphorbia palusrtis latex after fungal infection

Cited by 15 publications

References 35 publications

Latex Metabolome of Euphorbia Species: Geographical and Inter-Species Variation and its Proposed Role in Plant Defense against Herbivores and Pathogens

Latex Metabolome of Euphorbia Species: Geographical and Inter-Species Variation and its Proposed Role in Plant Defense against Herbivores and Pathogens

Binary similarity measures for fingerprint analysis of qualitative metabolomic profiles

Comparative Analysis of Machine Learning Methods to Predict Growth of F. sporotrichioides and Production of T-2 and HT-2 Toxins in Treatments with Ethylene-Vinyl Alcohol Films Containing Pure Components of Essential Oils

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