Potential of carvacrol as plant growth-promotor and green fungicide against fusarium wilt disease of perennial ryegrass

Saghrouchni, Hamza; Barnossi, Azeddin El; Mssillou, Ibrahim; Lavkor, Isilay; Ay, Tahsin; Kara, Mohammed; Alarfaj, Abdullah A.; Hirad, Abdurahman Hajinur; Nafidi, Hiba-Allah; Bourhia, Mohammed; Var, İşıl

doi:10.3389/fpls.2023.973207

Cited by 3 publications

(1 citation statement)

References 43 publications

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“…Very few reports have been found regarding the biological activity of the six isolated compounds against P. viticola, while antifungal activity has been described for all of them [50][51][52][53][54][55][56][57]. Caffeic acid is included among the metabolites responsible for significant P. viticola disease reduction in a Pinus pinaster knot extract [17] and is reported to be related to oxidative mechanisms in response to P. viticola infections [58] and to constitutive resistance in the grapevine cultivar Regent [59].…”

Section: Bioguided Isolation and Supressive Activity Of Pure Compoundsmentioning

confidence: 99%

Suppressive Activity of Glechoma hederacea Extracts against the Phytopathogenic Oomycete Plasmopara viticola, and First Screening of the Active Metabolites

Zorrilla,

Giovannini,

Nadalini

et al. 2023

Agriculture

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Plasmopara viticola is a destructive oomycete that affects grapevines, causing significant economic losses worldwide. This study highlights how the plant Glechoma hederacea might be at the basis for the development of biofungicides to control P. viticola. The aqueous extract obtained from G. hederacea aerial parts showed strong inhibition activity against P. viticola, comparable to that of copper hydroxide. The bioguided purification of the extract by chromatographic techniques led to the isolation of six pure metabolites, identified as the aromatic compounds carvacrol, caffeic acid and methyl caffeate, the flavonoids cirsimaritin and apigenin and the polyphenolic acid rosmarinic acid by spectroscopic methods. This is the first report about the isolation of methyl caffeate and cirsimaritin from G. hederacea. Caffeic acid and methyl caffeate showed the highest disease severity reduction, while carvacrol, cirsimaritin and apigenin also showed moderate activity against P. viticola. The inhibitory activity of the aqueous extract could suggest synergetic or additive action of caffeic acid and methyl caffeate together with other compounds contained in the extract. This study provides insights into the potential of G. hederacea as an allelopathic tool for developing control methods against P. viticola, revealing the combined action of different metabolites involved in the mechanism of action of the active compounds.

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Section: Bioguided Isolation and Supressive Activity Of Pure Compoundsmentioning

confidence: 99%

Suppressive Activity of Glechoma hederacea Extracts against the Phytopathogenic Oomycete Plasmopara viticola, and First Screening of the Active Metabolites

Zorrilla,

Giovannini,

Nadalini

et al. 2023

Agriculture

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STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer

Fan,

Yang,

Wang

et al. 2024

CBIO

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Introduction: Microbes are intimately involved in the physiological and pathological processes of numerous diseases. There is a critical need for new drugs to combat microbe-induced diseases in clinical settings. Predicting potential microbe-drug associations is, therefore, essential for both disease treatment and novel drug discovery. However, it is costly and time-consuming to verify these relationships through traditional wet lab approaches. Methods: We proposed an efficient computational model, STNMDA, that integrated a StructureAware Transformer (SAT) with a Deep Neural Network (DNN) classifier to infer latent microbedrug associations. The STNMDA began with a “random walk with a restart” approach to construct a heterogeneous network using Gaussian kernel similarity and functional similarity measures for microorganisms and drugs. This heterogeneous network was then fed into the SAT to extract attribute features and graph structures for each drug and microbe node. Finally, the DNN classifier calculated the probability of associations between microbes and drugs. Results: Extensive experimental results showed that STNMDA surpassed existing state-of-the-art models in performance on the MDAD and aBiofilm databases. In addition, the feasibility of STNMDA in confirming associations between microbes and drugs was demonstrated through case validations. Conclusion: Hence, STNMDA showed promise as a valuable tool for future prediction of microbedrug associations.

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Biochar amendment improves water-fertilizer productivity of perennial ryegrass under different irrigation and fertilization regimes

Shen,

Yu,

Zhang

et al. 2024

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Potential of carvacrol as plant growth-promotor and green fungicide against fusarium wilt disease of perennial ryegrass

Cited by 3 publications

References 43 publications

Suppressive Activity of Glechoma hederacea Extracts against the Phytopathogenic Oomycete Plasmopara viticola, and First Screening of the Active Metabolites

Suppressive Activity of Glechoma hederacea Extracts against the Phytopathogenic Oomycete Plasmopara viticola, and First Screening of the Active Metabolites

STNMDA: A Novel Model for Predicting Potential Microbe-Drug Associations with Structure-Aware Transformer

Biochar amendment improves water-fertilizer productivity of perennial ryegrass under different irrigation and fertilization regimes

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