Sequence-based classification of type II polyketide synthase biosynthetic gene clusters for antiSMASH. (1st March 2019)
- Record Type:
- Journal Article
- Title:
- Sequence-based classification of type II polyketide synthase biosynthetic gene clusters for antiSMASH. (1st March 2019)
- Main Title:
- Sequence-based classification of type II polyketide synthase biosynthetic gene clusters for antiSMASH
- Authors:
- Villebro, Rasmus
Shaw, Simon
Blin, Kai
Weber, Tilmann - Abstract:
- Abstract: The software antiSMASH examines microbial genome data to identify and analyze biosynthetic gene clusters for a wide range of natural products. So far, type II polyketide synthase (PKS) gene clusters could only be identified, but no detailed predictions for type II PKS gene clusters could be provided. In this study, an antiSMASH module for analyzing type II PKS gene clusters has been developed. The module detects genes/proteins in the type II PKS gene cluster involved with polyketide biosynthesis and is able to make predictions about the aromatic polyketide product. Predictions include the putative starter unit, the number of malonyl elongations during polyketide biosynthesis, the putative class and the molecular weight of the product. Furthermore, putative cyclization patterns are predicted. The accuracy of the predictions generated with the new PKSII antiSMASH module was evaluated using a leave-one-out cross validation. The prediction module is available in antiSMASH version 5 at https://antismash.secondarymetabolites.org .
- Is Part Of:
- Journal of industrial microbiology & biotechnology. Volume 46:Number 3/4(2019)
- Journal:
- Journal of industrial microbiology & biotechnology
- Issue:
- Volume 46:Number 3/4(2019)
- Issue Display:
- Volume 46, Issue 3/4 (2019)
- Year:
- 2019
- Volume:
- 46
- Issue:
- 3/4
- Issue Sort Value:
- 2019-0046-NaN-0000
- Page Start:
- 469
- Page End:
- 475
- Publication Date:
- 2019-03-01
- Subjects:
- Type II polyketide synthases -- PKS -- Aromatic polyketides -- Secondary metabolite -- Natural product -- Genome mining
Industrial microbiology -- Periodicals
660.62 - Journal URLs:
- http://www.springerlink.com/content/100967/ ↗
https://academic.oup.com/jimb ↗
http://www.springer.com/gb/ ↗
http://www.nature.com/jim/ ↗ - DOI:
- 10.1007/s10295-018-02131-9 ↗
- Languages:
- English
- ISSNs:
- 1367-5435
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5006.330500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 17191.xml