MIBiG 3.0: a community-driven effort to annotate experimentally validated biosynthetic gene clusters

Barbara R. Terlouw, Kai Blin, Jorge C. Navarro-Munoz, Nicole E. Avalon, Marc G. Chevrette, Susan Egbert, Sanghoon Lee, David Meijer, Michael J. J. Recchia, Zachary L. Reitz, Jeffrey A. van Santen, Nelly Selem-Mojica, Thomas Torring, Liana Zaroubi, Mohammad Alanjary, Gajender Aleti, Cesar Aguilar, Suhad A. A. Al-Salihi, Hannah E. Augustijn, J. Abraham Avelar-RivasLuis A. Avitia-Dominguez, Francisco Barona-Gomez, Jordan Bernaldo-Aguero, Vincent A. Bielinski, Friederike Biermann, Thomas J. Booth, Victor J. Carrion Bravo, Raquel Castelo-Branco, Fernanda O. Chagas, Pablo Cruz-Morales, Athina Gavriilidou, Damien Gayrard, Karina Gutierrez-Garcia, Kristina Haslinger, Eric J. N. Helfrich, Justin J. J. van der Hooft, Afif P. Jati, Edward Kalkreuter, Nikolaos Kalyvas, Kyo B. Kang, Satria Kautsar, Wonyong Kim, Aditya M. Kunjapur, Yong-Xin Li, Geng-Min Lin, Catarina Loureiro, Joris J. R. Louwen, Nico L. L. Louwen, George Lund, Jonathan Parra, Benjamin Philmus, Bita Pourmohsenin, Lotte J. U. Pronk, Adriana Rego, Devasahayam Arokia Balaya Rex, Serina Robinson, L. Rodrigo Rosas-Becerra, Eve T. Roxborough, Michelle A. Schorn, Darren J. Scobie, Kumar Saurabh Singh, Nika Sokolova, Xiaoyu Tang, Daniel Udwary, Aruna Vigneshwari, Kristiina Vind, Sophie P. J. M. Vromans, Valentin Waschulin, Sam E. Williams, Jaclyn M. Winter, Thomas E. Witte, Huali Xie, Dong Yang, Jingwei Yu, Mitja Zdouc, Zheng Zhong, Jerome Collemare, Roger G. Linington, Tilmann Weber, Marnix H. Medema

Research output: Contribution to journalArticlepeer-review

95 Citations (Scopus)


With an ever-increasing amount of (meta)genomic data being deposited in sequence databases, (meta)genome mining for natural product biosynthetic pathways occupies a critical role in the discovery of novel pharmaceutical drugs, crop protection agents and biomaterials. The genes that encode these pathways are often organised into biosynthetic gene clusters (BGCs). In 2015, we defined the Minimum Information about a Biosynthetic Gene cluster (MIBiG): a standardised data format that describes the minimally required information to uniquely characterise a BGC. We simultaneously constructed an accompanying online database of BGCs, which has since been widely used by the community as a reference dataset for BGCs and was expanded to 2021 entries in 2019 (MIBiG 2.0). Here, we describe MIBiG 3.0, a database update comprising large-scale validation and re-annotation of existing entries and 661 new entries. Particular attention was paid to the annotation of compound structures and biological activities, as well as protein domain selectivities. Together, these new features keep the database upto-date, and will provide new opportunities for the scientific community to use its freely available data, e.g. for the training of new machine learning models to predict sequence-structure-function relationships for diverse natural products. MIBiG 3.0 is accessible online at https://mibig.secondarymetabolites.org/.
Original languageEnglish
Pages (from-to)D603-D610
Number of pages8
JournalNucleic Acids Research
Issue numberD1
Early online date18 Nov 2022
Publication statusPublished - 1 Jan 2023


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