Sequence-based classification of type II polyketide synthase biosynthetic gene clusters for antiSMASH

Area of Science:

• Microbial genomics
• Natural product chemistry
• Bioinformatics

Background:

• The antiSMASH software identifies biosynthetic gene clusters in microbial genomes.
• Previous versions of antiSMASH could identify, but not predict products from, type II polyketide synthase (PKS) gene clusters.

Purpose of the Study:

• To develop a new antiSMASH module for detailed analysis and prediction of type II PKS gene clusters.
• To enable prediction of specific features of aromatic polyketide products.

Main Methods:

• Development of a novel antiSMASH module focused on type II PKS gene clusters.
• Implementation of algorithms to detect biosynthetic genes and predict product characteristics.
• Evaluation of prediction accuracy using leave-one-out cross-validation.

Main Results:

• The new module successfully detects genes involved in polyketide biosynthesis within type II PKS clusters.
• Accurate predictions are made regarding the starter unit, malonyl elongations, product class, molecular weight, and cyclization patterns.
• The module is integrated into antiSMASH version 5.

Conclusions:

• The developed antiSMASH module significantly advances the analysis of type II PKS gene clusters.
• This tool facilitates more precise prediction of natural products, aiding in drug discovery and synthetic biology.
• The enhanced antiSMASH platform is publicly accessible for researchers worldwide.