Related Experiment Video
Updated: Jan 19, 2026

Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
Published on: March 12, 2020
Genome mining- and synthetic biology-enabled production of hypermodified peptides
Agneya Bhushan1, Peter J Egli2, Eike E Peters1
1Institute of Microbiology, Eidgenössische Technische Hochschule (ETH) Zurich, Zurich, Switzerland.
Abstract:
The polytheonamides are among the most complex and biosynthetically distinctive natural products known to date. These potent peptide cytotoxins are derived from a ribosomal precursor processed by 49 mostly non-canonical posttranslational modifications. As the producer is a 'microbial dark matter' bacterium only distantly related to any cultivated organism, >70-step chemical syntheses have been developed to access these unique compounds. Here, we mined prokaryotic diversity to establish a synthetic platform based on the new host Microvirgula aerodenitrificans that produces hypermodified peptides within two days. Using this system, we generated the aeronamides, new polytheonamide-type compounds with near-picomolar cytotoxicity. Aeronamides, as well as the polygeonamides produced from deep-rock biosphere DNA, contain the highest numbers of D-amino acids in known biomolecules. With increasing bacterial genomes being sequenced, similar host mining strategies might become feasible to access further elusive natural products from uncultivated life.
Related Concept Videos
11:13Mass Spectrometry-Guided Genome Mining as a Tool to Uncover Novel Natural Products
Synthetic Biology
Here, we discuss how an organism's genetic material is modified using transformation or transfection. Then, the process is shown in the...
Synthetic Biology
Golden rice
Golden rice is a genetically modified...
09:10A Fast and Quantitative Method for Post-translational Modification and Variant Enabled Mapping of Peptides to Genomes
07:59A High-Yield Streptomyces Transcription-Translation Toolkit for Synthetic Biology and Natural Product Applications
08:03Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations
