Antimicrobial metabolites produced by endophytic fungi associated with the leaves of Vochysia divergens .
Jéssica A de M SouzaJuliana R GubianiKátia A de SiqueiraMaria J de CamargoWalmir S GarcezPaulo T de SousaMarcos A SoaresÂngela R AraújoEmanuel V Dos S NunesLucas C C VieiraOlívia M SampaioLetícia S GoulartCarolina R BiasettoOrivaldo T de MenezesCamila M de OliveiraCláudio R NogueiraLuciano da Silva PintoHelder Lopes TelesPublished in: Natural product research (2023)
Investigation of the endophytic fungi Nigrospora sphaerica , Nigrospora oryzae , and Pseudofusicoccum stromaticum MeOH fractions isolated from the leaves of Vochysia divergens , a medicinal species from the Brazilian Pantanal, led to the identification of five compounds, namely a new compound (1 E ,8 Z )-10,11-dihydroxy-5,5,8-trimethyl-4-oxocycloundeca-1,8-diene-1-carbaldehyde ( 1 ) and four known compounds: 5-methylmellein ( 2 ), sclerone ( 3 ), daldinone A ( 4 ), and lasiodiplodin ( 5 ). All compounds were identified using spectroscopic methods, and 1 was corroborated with mass spectrometry, while the known compounds were compared with data in the literature. The relative configuration of compound 1 was determined based on theoretical conformational studies as well as the J experimental values between the hydroxymethyne hydrogens. The antimicrobial activity of the compounds was evaluated. Promising results were obtained for compounds 2 , 4 , and 5 since they inhibited the bacterium Pseudomonas aeruginosa , an opportunistic pathogen, suggesting the potential of these microorganisms as a source of new antibacterial agents.
Keyphrases
- pseudomonas aeruginosa
- mass spectrometry
- systematic review
- staphylococcus aureus
- ms ms
- escherichia coli
- machine learning
- molecular dynamics simulations
- acinetobacter baumannii
- biofilm formation
- artificial intelligence
- electronic health record
- high performance liquid chromatography
- essential oil
- candida albicans
- deep learning
- data analysis
- drug resistant
- capillary electrophoresis