antiSMASH 7.0: new and improved predictions for detection, regulation, chemical structures and visualisation

Author:

Blin Kai1ORCID,Shaw Simon1,Augustijn Hannah E23ORCID,Reitz Zachary L3ORCID,Biermann Friederike345,Alanjary Mohammad3ORCID,Fetter Artem36,Terlouw Barbara R3,Metcalf William W78ORCID,Helfrich Eric J N45,van Wezel Gilles P2ORCID,Medema Marnix H3,Weber Tilmann1ORCID

Affiliation:

1. The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark , Kgs.Lyngby, Denmark

2. Molecular Biotechnology, Institute of Biology, Leiden University , Leiden , The Netherlands

3. Bioinformatics Group, Wageningen University , Wageningen , The Netherlands

4. Institute of Molecular Bio Science, Goethe-University Frankfurt , Frankfurt am Main , Germany

5. LOEWE Center for Translational Biodiversity Genomics. Frankfurt am Main , Germany

6. Institute of Technical Chemistry, Leibniz University Hannover , Hannover , Germany

7. Department of Microbiology, University of Illinois Urbana–Champaign , Urbana , IL , USA

8. Institute for Genomic Biology, University of Illinois Urbana–Champaign , Urbana , IL , USA

Abstract

Abstract Microorganisms produce small bioactive compounds as part of their secondary or specialised metabolism. Often, such metabolites have antimicrobial, anticancer, antifungal, antiviral or other bio-activities and thus play an important role for applications in medicine and agriculture. In the past decade, genome mining has become a widely-used method to explore, access, and analyse the available biodiversity of these compounds. Since 2011, the ‘antibiotics and secondary metabolite analysis shell—antiSMASH’ (https://antismash.secondarymetabolites.org/) has supported researchers in their microbial genome mining tasks, both as a free to use web server and as a standalone tool under an OSI-approved open source licence. It is currently the most widely used tool for detecting and characterising biosynthetic gene clusters (BGCs) in archaea, bacteria, and fungi. Here, we present the updated version 7 of antiSMASH. antiSMASH 7 increases the number of supported cluster types from 71 to 81, as well as containing improvements in the areas of chemical structure prediction, enzymatic assembly-line visualisation and gene cluster regulation.

Funder

Novo Nordisk Foundation

Danish National Research Foundation

ERC Starting Grant

Novel Antibacterial Compounds and Therapies Antagonising Resistance program

Dutch Research Council

Publisher

Oxford University Press (OUP)

Subject

Genetics

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