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

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

doi:10.1093/nar/gkac1049

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

Journal Article · Fri Nov 18 00:00:00 EST 2022 · Nucleic Acids Research

DOI:https://doi.org/10.1093/nar/gkac1049· OSTI ID:1898954

; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; ; Avelar-Rivas, J. Abraham more »

Abstract

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 up-to-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/.

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Research Organization:: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)

Sponsoring Organization:: National Institutes of Health (NIH); National Science Foundation (NSF); USDOE; USDOE Office of Science (SC)

Grant/Contract Number:: AC02-05CH11231

OSTI ID:: 1898954

Alternate ID(s):: OSTI ID: 1987511

Journal Information:: Nucleic Acids Research, Journal Name: Nucleic Acids Research Journal Issue: D1 Vol. 51; ISSN 0305-1048

Publisher:: Oxford University PressCopyright Statement

Country of Publication:: United Kingdom

Language:: English

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