MIBiG 2.0: a repository for biosynthetic gene clusters of known function

Kautsar, Satria A.; Blin, Kai; Shaw, Simon J.; Navarro-Muñoz, Jorge C.; Terlouw, Barbara R.; Hooft, Justin J. J. van der; Santen, Jeffrey A. van; Tracanna, Vittorio; Duran, Hernando G. Suárez; Andreu, Victòria; Sélem‐Mójica, Nelly; Alanjary, Mohammad; Robinson, Serina L.; Lund, George; Epstein, Samuel C.; Sisto, Ashley C.; Charkoudian, Louise K.; Collemare, Jérôme; Linington, Roger G.; Weber, Tilmann; Medema, Marnix H.

doi:10.1093/nar/gkz882

articleNucleic Acids ResearchOct 1, 2019GOLD OA

MIBiG 2.0: a repository for biosynthetic gene clusters of known function

SASatria A. Kautsar KBKai Blin SJSimon J. Shaw JCJorge C. Navarro-Muñoz BRBarbara R. Terlouw

Wageningen University & Research · Novo Nordisk Foundation · +9 more institutions

PubMed

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Abstract

Fueled by the explosion of (meta)genomic data, genome mining of specialized metabolites has become a major technology for drug discovery and studying microbiome ecology. In these efforts, computational tools like antiSMASH have played a central role through the analysis of Biosynthetic Gene Clusters (BGCs). Thousands of candidate BGCs from microbial genomes have been identified and stored in public databases. Interpreting the function and novelty of these predicted BGCs requires comparison with a well-documented set of BGCs of known function. The MIBiG (Minimum Information about a Biosynthetic Gene Cluster) Data Standard and Repository was established in 2015 to enable curation and storage of known BGCs. Here,…

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Topics

Keywords

Biology
Function (biology)
Gene
Genetics
Computational biology
Gene cluster

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