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Harnessing Trichoderma Species for Sustainable Biocontrol: Mechanisms, Formulation Strategies, Commercialization, and Field Applications Source / Quelle: https://www.mdpi.com/2223-7747/15/15/2260 Abstract Trichoderma species are widely investigated and commercially applied as eco-friendly biocontrol agents in sustainable agriculture. These filamentous fungi protect plants through multiple complementary mechanisms, including mycoparasitism, antibiosis, competition for nutrients and ecological niches, and induction of systemic resistance in host plants. These activities are mediated by a diverse array of secondary metabolites, hydrolytic enzymes, and signaling pathways that collectively suppress pathogens and enhance plant health. Beyond disease control, selected Trichoderma strains promote plant growth by improving nutrient acquisition, modulating phytohormone signaling, and increasing tolerance to abiotic stresses. This review summarizes recent advances in the mechanisms underlying Tri

Source / Quelle: https://www.ecoeet.com/Cannabis-sativa-L-leaf-by-products-extracts-Chemical-composition-antimicrobial-and,220997,0,1.html Summary Aims: This study aimed to evaluate the biological potential of Cannabis sativa L. leaf co-products obtained through different extraction methods (sonication, maceration, and decoction), with a particular focus on their antimicrobial properties and chemical composition. Methodology and Results: Extracts were prepared using sonication, maceration, and decoction, and their antimicrobial activity was assessed against two pathogenic microorganisms: Aggregatibacter actinomycetemcomitans and Candida albicans. The sonication extract exhibited the highest antibacterial activity against A. actinomycetemcomitans, whereas the maceration extract showed strong antifungal activity against C. albicans. All extracts, except the decoction, demonstrated both bactericidal and fungicidal effects. Chemical characterization was performed using High-Performance Liq

Source / Qulle: https://link.springer.com/article/10.1007/s11306-026-02500-x Characterizing the effect of short wavelengths on the floral flavonoid metabolome of medicinal cannabis using a comparative computational metabolomics workflow Abstract Background Controlled-environment cultivation of medicinal cannabis (Cannabis sativa L.) typically optimizes light conditions to enhance the biosynthesis of pharmaceutically important metabolites like cannabinoids. Such experimental strategies may also influence other specialized metabolites like terpenoids, flavonoids, alkaloids, among others. Previous untargeted metabolomics studies testing short-wavelength conditions like UV and blue light have shown that terpenoids and prenylated flavonoids in cannabis leaves respond differentially. However, since metabolomic studies in cannabis have so far mostly focused on floral cannabinoids, a comprehensive untargeted study into cannabis’ floral metabolome response to short wavelengths is currently lack