Coupling deep transcriptome analysis with untargeted metabolic profiling in Ophiorrhiza pumila to further the understanding of the biosynthesis of the anti-cancer alkaloid camptothecin and anthraquinones. (1/34)

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Molecular signatures in Arabidopsis thaliana in response to insect attack and bacterial infection. (2/34)

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Low-volume toolbox for the discovery of immunosuppressive fungal secondary metabolites. (3/34)

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Engineered Streptomyces avermitilis host for heterologous expression of biosynthetic gene cluster for secondary metabolites. (4/34)

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Cellular development associated with induced mycotoxin synthesis in the filamentous fungus Fusarium graminearum. (5/34)

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Graft union formation in grapevine induces transcriptional changes related to cell wall modification, wounding, hormone signalling, and secondary metabolism. (6/34)

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Traffic of secondary metabolites to cell surface in the red alga Laurencia dendroidea depends on a two-step transport by the cytoskeleton. (7/34)

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Liquid chromatography-mass spectrometry-based chemotaxonomic classification of Aspergillus spp. and evaluation of the biological activity of its unique metabolite, neosartorin. (8/34)

This work aimed to classify Aspergillus (8 species, 28 strains) by using a secondary metabolite profile-based chemotaxonomic classification technique. Secondary metabolites were analyzed by liquid chromatography ion-trap mass spectrometry (LC-IT-MS) and multivariate statistical analysis. Most strains were generally well separated from each section. A. lentulus was discriminated from the other seven species (A. fumigatus, A. fennelliae, A. niger, A. kawachii, A. flavus, A. oryzae, and A. sojae) with partial least-squares discriminate analysis (PLS-DA) with five discriminate metabolites, including 4,6-dihydroxymellein, fumigatin, 5,8-dihydroxy-9- octadecenoic acid, cyclopiazonic acid, and neosartorin. Among them, neosartorin was identified as an A. lentulus-specific compound that showed anticancer activity, as well as antibacterial effects on Staphylococcus epidermidis. This study showed that metabolite-based chemotaxonomic classification is an effective tool for the classification of Aspergillus spp. with species-specific activity.  (+info)