ArticleMethods in molecular biology (Clifton, N.J.)2022
Evolutionary Genome Mining for the Discovery and Engineering of Natural Product Biosynthesis.
Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed.
- Advances in natural product discovery: strategies, technologies, and insights.Natural products and bioprospecting · 2026Review
- MicroAgroBiome: a toolkit for exploring specialized metabolism and ecological interactions in rhizosphere microbiomes of cultivated crops.Nucleic acids research · 2026Article
- Article
- Present and future outlooks on environmental DNA-based methods for antibiotic discovery.Current opinion in microbiology · 2023Review
Corrections and comments
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Authors and funding
7 authors.
Funding
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Abstract
Genome mining has become an invaluable tool in natural products research to quickly identify and characterize the biosynthetic pathways that assemble secondary or specialized metabolites. Recently, evolutionary principles have been incorporated into genome mining strategies in an effort to better assess and prioritize novelty and understand their chemical diversification for engineering purposes. Here, we provide an introduction to the principles underlying evolutionary genome mining, including bioinformatic strategies and natural product biosynthetic databases. We introduce workflows for traditional genome mining, focusing on the popular pipeline antiSMASH, and methods to predict enzyme substrate specificity from genomic information. We then provide an in-depth discussion of evolutionary genome mining workflows, including EvoMining, CORASON, ARTS, and others, as adopted by our group for the discovery and prioritization of natural products biosynthetic gene clusters and their products.
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Registered trials
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