antiSMASH 5.0: updates to the secondary metabolite genome mining pipeline

被引:2116
作者
Blin, Kai [1 ]
Shaw, Simon [1 ]
Steinke, Katharina [2 ]
Villebro, Rasmus [1 ]
Ziemert, Nadine [2 ]
Lee, Sang Yup [1 ,3 ,4 ]
Medema, Marnix H. [5 ]
Weber, Tilmann [1 ]
机构
[1] Tech Univ Denmark, Novo Nordisk Fdn Ctr Biosustainabil, Kemitorvet Bygning 220, DK-2800 Lyngby, Denmark
[2] German Ctr Infect Res DZIF, Interfac Inst Microbiol & Infect Med, Morgenstelle 28, DE-72076 Tubingen, Germany
[3] Korea Adv Inst Sci & Technol, Dept Chem & Biomol Engn, BK21 Plus Program, 291 Daehak Ro, Daejeon 34141, South Korea
[4] Korea Adv Inst Sci & Technol, BioInformat Res Ctr, 291 Daehak Ro, Daejeon 34141, South Korea
[5] Wageningen Univ, Bioinformat Grp, Droevendaalsesteeg 1, NL-6708 PB Wageningen, Netherlands
基金
新加坡国家研究基金会;
关键词
NATURAL-PRODUCTS; BIOSYNTHESIS; ANNOTATION; IDENTIFICATION; PREDICTION; RESOURCE; CLUSTERS; GENES;
D O I
10.1093/nar/gkz310
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Secondary metabolites produced by bacteria and fungi are an important source of antimicrobials and other bioactive compounds. In recent years, genome mining has seen broad applications in identifying and characterizing new compounds as well as in metabolic engineering. Since 2011, the 'antibiotics and secondary metabolite analysis shell-antiSMASH' (https://antismash.secondarymetabolites.org) has assisted researchers in this, both as a web server and a stand alone tool. It has established itself as the most widely used tool for identifying and analysing biosynthetic gene clusters (BGCs) in bacterial and fungal genome sequences. Here, we present an entirely redesigned and extended version 5 of antiSMASH. antiSMASH 5 adds detection rules for clusters encoding the biosynthesis of acyl-amino acids, beta-lactones, fungal RiPPs, RaS-RiPPs, polybrominated diphenyl ethers, C-nucleosides, PPY-like ketones and lipolanthines. For type II polyketide synthase-encoding gene clusters, antiSMASH 5 now offers more detailed predictions. The HTML output visualization has been redesigned to improve the navigation and visual representation of annotations. We have again improved the runtime of analysis steps, making it possible to deliver comprehensive annotations for bacterial genomes within a few minutes. A new output file in the standard JavaScript object notation (JSON) format is aimed at downstream tools that process antiSMASH results programmatically.
引用
收藏
页码:W81 / W87
页数:7
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