Structural Identification of Antibacterial Lipids from Amazonian Palm Tree Endophytes through the Molecular Network Approach.
Morgane BarthélemyNicolas ElieLéonie PellissierJean-Luc WolfenderDidier StienDavid TouboulVéronique EparvierPublished in: International journal of molecular sciences (2019)
A library of 197 endophytic fungi and bacteria isolated from the Amazonian palm tree Astrocaryum sciophilum was extracted and screened for antibacterial activity against methicillin-resistant Staphylococcus aureus (MRSA). Four out of five antibacterial ethyl acetate extracts were also cytotoxic for the MRC-5 cells line. Liquid chromatography coupled to tandem mass spectrometry (UPHLC-HRMS/MS) analyses combined with molecular networking data processing were carried out to allow the identification of depsipeptides and cyclopeptides responsible for the cytotoxicity in the dataset. Specific ion clusters from the active Luteibacter sp. extract were also highlighted using an MRSA activity filter. A chemical study of Luteibacter sp. was conducted leading to the structural characterization of eight fatty acid exhibiting antimicrobial activity against MRSA in the tens of µg/mL range.
Keyphrases
- methicillin resistant staphylococcus aureus
- tandem mass spectrometry
- liquid chromatography
- high resolution mass spectrometry
- mass spectrometry
- ultra high performance liquid chromatography
- fatty acid
- high performance liquid chromatography
- gas chromatography
- staphylococcus aureus
- silver nanoparticles
- simultaneous determination
- induced apoptosis
- solid phase extraction
- anti inflammatory
- high resolution
- bioinformatics analysis
- oxidative stress
- single molecule
- cell cycle arrest
- multiple sclerosis
- endoplasmic reticulum stress
- big data
- cell proliferation
- ionic liquid
- electronic health record
- cell death
- network analysis
- deep learning
- wound healing