Coupling Mass Spectral and Genomic Information to Improve Bacterial Natural Product Discovery Workflows.
Max CruesemannPublished in: Marine drugs (2021)
Bacterial natural products possess potent bioactivities and high structural diversity and are typically encoded in biosynthetic gene clusters. Traditional natural product discovery approaches rely on UV- and bioassay-guided fractionation and are limited in terms of dereplication. Recent advances in mass spectrometry, sequencing and bioinformatics have led to large-scale accumulation of genomic and mass spectral data that is increasingly used for signature-based or correlation-based mass spectrometry genome mining approaches that enable rapid linking of metabolomic and genomic information to accelerate and rationalize natural product discovery. In this mini-review, these approaches are presented, and discovery examples provided. Finally, future opportunities and challenges for paired omics-based natural products discovery workflows are discussed.
Keyphrases
- small molecule
- mass spectrometry
- high throughput
- copy number
- optical coherence tomography
- liquid chromatography
- single cell
- genome wide
- high performance liquid chromatography
- high resolution
- magnetic resonance
- gene expression
- health information
- magnetic resonance imaging
- healthcare
- machine learning
- electronic health record
- social media
- big data
- quantum dots
- deep learning
- ionic liquid
- artificial intelligence
- dual energy
- solid phase extraction