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A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites
Bacteria harbor an immense, untapped trove of novel secondary metabolites in the form of ‘silent’ biosynthetic gene clusters (BGCs). These can be identified bioinformatically but are not expressed under normal laboratory growth conditions. Methods to access their products would dramatically expand o...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339573/ https://www.ncbi.nlm.nih.gov/pubmed/30617293 http://dx.doi.org/10.1038/s41589-018-0193-2 |
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author | Xu, Fei Wu, Yihan Zhang, Chen Davis, Katherine M. Moon, Kyuho Bushin, Leah B. Seyedsayamdost, Mohammad R. |
author_facet | Xu, Fei Wu, Yihan Zhang, Chen Davis, Katherine M. Moon, Kyuho Bushin, Leah B. Seyedsayamdost, Mohammad R. |
author_sort | Xu, Fei |
collection | PubMed |
description | Bacteria harbor an immense, untapped trove of novel secondary metabolites in the form of ‘silent’ biosynthetic gene clusters (BGCs). These can be identified bioinformatically but are not expressed under normal laboratory growth conditions. Methods to access their products would dramatically expand our pool of bioactive compounds. We report a universal high-throughput method for activating silent BGCs in diverse microorganisms. Our approach relies on elicitor screening to induce the secondary metabolome of a given strain and imaging mass spectrometry to visualize the resulting metabolomes in response to ~500 conditions. Because it does not require challenging genetic, cloning, or culturing procedures, it can be used with both sequenced and unsequenced bacteria. We demonstrate the power of the approach by applying it to diverse bacteria and report the discovery of nine cryptic metabolites with potentially therapeutic bioactivities, including a new glycopeptide chemotype with potent inhibitory activity against a pathogenic virus. |
format | Online Article Text |
id | pubmed-6339573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
record_format | MEDLINE/PubMed |
spelling | pubmed-63395732019-07-07 A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites Xu, Fei Wu, Yihan Zhang, Chen Davis, Katherine M. Moon, Kyuho Bushin, Leah B. Seyedsayamdost, Mohammad R. Nat Chem Biol Article Bacteria harbor an immense, untapped trove of novel secondary metabolites in the form of ‘silent’ biosynthetic gene clusters (BGCs). These can be identified bioinformatically but are not expressed under normal laboratory growth conditions. Methods to access their products would dramatically expand our pool of bioactive compounds. We report a universal high-throughput method for activating silent BGCs in diverse microorganisms. Our approach relies on elicitor screening to induce the secondary metabolome of a given strain and imaging mass spectrometry to visualize the resulting metabolomes in response to ~500 conditions. Because it does not require challenging genetic, cloning, or culturing procedures, it can be used with both sequenced and unsequenced bacteria. We demonstrate the power of the approach by applying it to diverse bacteria and report the discovery of nine cryptic metabolites with potentially therapeutic bioactivities, including a new glycopeptide chemotype with potent inhibitory activity against a pathogenic virus. 2019-01-07 2019-02 /pmc/articles/PMC6339573/ /pubmed/30617293 http://dx.doi.org/10.1038/s41589-018-0193-2 Text en Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms |
spellingShingle | Article Xu, Fei Wu, Yihan Zhang, Chen Davis, Katherine M. Moon, Kyuho Bushin, Leah B. Seyedsayamdost, Mohammad R. A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites |
title | A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites |
title_full | A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites |
title_fullStr | A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites |
title_full_unstemmed | A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites |
title_short | A Genetics-Free Method for High-Throughput Discovery of Cryptic Microbial Metabolites |
title_sort | genetics-free method for high-throughput discovery of cryptic microbial metabolites |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6339573/ https://www.ncbi.nlm.nih.gov/pubmed/30617293 http://dx.doi.org/10.1038/s41589-018-0193-2 |
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