Maramycin, a Cytotoxic Isoquinolinequinone Terpenoid Produced through Heterologous Expression of a Bifunctional Indole Prenyltransferase/Tryptophan Indole-Lyase in S. albidoflavus .
Matiss MaleckisMario WibowoSam E WilliamsCharlotte Held GotfredsenRenata SigristLuciano D O SouzaMichael S CowledPep CharusantiTetiana GrenSubhasish SahaJosé Manuel Afonso MoreiraTilmann WeberLing DingPublished in: ACS chemical biology (2024)
Isoquinolinequinones represent an important family of natural alkaloids with profound biological activities. Heterologous expression of a rare bifunctional indole prenyltransferase/tryptophan indole-lyase enzyme from Streptomyces mirabilis P8-A2 in S. albidoflavus J1074 led to the activation of a putative isoquinolinequinone biosynthetic gene cluster and production of a novel isoquinolinequinone alkaloid, named maramycin ( 1 ). The structure of maramycin was determined by analysis of spectroscopic (1D/2D NMR) and MS spectrometric data. The prevalence of this bifunctional biosynthetic enzyme was explored and found to be a recent evolutionary event with only a few representatives in nature. Maramycin exhibited moderate cytotoxicity against human prostate cancer cell lines, LNCaP and C4-2B. The discovery of maramycin ( 1 ) enriched the chemical diversity of natural isoquinolinequinones and also provided new insights into crosstalk between the host biosynthetic genes and the heterologous biosynthetic genes in generating new chemical scaffolds.
Keyphrases
- genome wide
- prostate cancer
- poor prognosis
- genome wide identification
- highly efficient
- saccharomyces cerevisiae
- endothelial cells
- mass spectrometry
- dna methylation
- small molecule
- magnetic resonance
- metal organic framework
- multiple sclerosis
- radical prostatectomy
- risk factors
- binding protein
- high resolution
- ms ms
- genome wide analysis
- molecular docking
- copy number
- long non coding rna
- machine learning
- big data
- high intensity
- gene expression
- intellectual disability
- tissue engineering
- gas chromatography
- deep learning
- solid state
- molecular dynamics simulations