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An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products
Bacterial natural products are a diverse and valuable group of small molecules, and genome sequencing indicates that the vast majority remain undiscovered. The prediction of natural product structures from biosynthetic assembly lines can facilitate their discovery, but highly automated, accurate, an...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Pub. Group
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598715/ https://www.ncbi.nlm.nih.gov/pubmed/26412281 http://dx.doi.org/10.1038/ncomms9421 |
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author | Johnston, Chad W. Skinnider, Michael A. Wyatt, Morgan A. Li, Xiang Ranieri, Michael R. M. Yang, Lian Zechel, David L. Ma, Bin Magarvey, Nathan A. |
author_facet | Johnston, Chad W. Skinnider, Michael A. Wyatt, Morgan A. Li, Xiang Ranieri, Michael R. M. Yang, Lian Zechel, David L. Ma, Bin Magarvey, Nathan A. |
author_sort | Johnston, Chad W. |
collection | PubMed |
description | Bacterial natural products are a diverse and valuable group of small molecules, and genome sequencing indicates that the vast majority remain undiscovered. The prediction of natural product structures from biosynthetic assembly lines can facilitate their discovery, but highly automated, accurate, and integrated systems are required to mine the broad spectrum of sequenced bacterial genomes. Here we present a genome-guided natural products discovery tool to automatically predict, combinatorialize and identify polyketides and nonribosomal peptides from biosynthetic assembly lines using LC–MS/MS data of crude extracts in a high-throughput manner. We detail the directed identification and isolation of six genetically predicted polyketides and nonribosomal peptides using our Genome-to-Natural Products platform. This highly automated, user-friendly programme provides a means of realizing the potential of genetically encoded natural products. |
format | Online Article Text |
id | pubmed-4598715 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Pub. Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-45987152015-10-21 An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products Johnston, Chad W. Skinnider, Michael A. Wyatt, Morgan A. Li, Xiang Ranieri, Michael R. M. Yang, Lian Zechel, David L. Ma, Bin Magarvey, Nathan A. Nat Commun Article Bacterial natural products are a diverse and valuable group of small molecules, and genome sequencing indicates that the vast majority remain undiscovered. The prediction of natural product structures from biosynthetic assembly lines can facilitate their discovery, but highly automated, accurate, and integrated systems are required to mine the broad spectrum of sequenced bacterial genomes. Here we present a genome-guided natural products discovery tool to automatically predict, combinatorialize and identify polyketides and nonribosomal peptides from biosynthetic assembly lines using LC–MS/MS data of crude extracts in a high-throughput manner. We detail the directed identification and isolation of six genetically predicted polyketides and nonribosomal peptides using our Genome-to-Natural Products platform. This highly automated, user-friendly programme provides a means of realizing the potential of genetically encoded natural products. Nature Pub. Group 2015-09-28 /pmc/articles/PMC4598715/ /pubmed/26412281 http://dx.doi.org/10.1038/ncomms9421 Text en Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Johnston, Chad W. Skinnider, Michael A. Wyatt, Morgan A. Li, Xiang Ranieri, Michael R. M. Yang, Lian Zechel, David L. Ma, Bin Magarvey, Nathan A. An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products |
title | An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products |
title_full | An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products |
title_fullStr | An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products |
title_full_unstemmed | An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products |
title_short | An automated Genomes-to-Natural Products platform (GNP) for the discovery of modular natural products |
title_sort | automated genomes-to-natural products platform (gnp) for the discovery of modular natural products |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4598715/ https://www.ncbi.nlm.nih.gov/pubmed/26412281 http://dx.doi.org/10.1038/ncomms9421 |
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