Coupling Mass Spectral and Genomic Information to Improve Bacterial Natural Product Discovery Workflows |
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Authors: | Max Crüsemann |
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Institution: | Institute for Pharmaceutical Biology, University of Bonn, Nussallee 6, 53115 Bonn, Germany; |
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Abstract: | 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. |
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Keywords: | bacterial natural products mass spectrometry genome mining paired omics |
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