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A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters
The genomes of filamentous fungi contain up to ~90 biosynthetic gene clusters (BGCs), encoding diverse secondary metabolites, an enormous reservoir of untapped chemical potential. However, recalcitrant genetics, cryptic expression, and unculturability prevent the systematic exploitation of these gen...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577364/ https://www.ncbi.nlm.nih.gov/pubmed/28604695 http://dx.doi.org/10.1038/nchembio.2408 |
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author | Clevenger, Kenneth D. Bok, Jin Woo Ye, Rosa Miley, Galen P. Verdan, Maria H. Velk, Thomas Chen, Cynthia Yang, KaHoua Robey, Matthew T. Gao, Peng Lamprecht, Matthew Thomas, Paul M. Islam, Md Nurul Palmer, Jonathan M. Wu, Chengcang C. Keller, Nancy P. Kelleher, Neil L. |
author_facet | Clevenger, Kenneth D. Bok, Jin Woo Ye, Rosa Miley, Galen P. Verdan, Maria H. Velk, Thomas Chen, Cynthia Yang, KaHoua Robey, Matthew T. Gao, Peng Lamprecht, Matthew Thomas, Paul M. Islam, Md Nurul Palmer, Jonathan M. Wu, Chengcang C. Keller, Nancy P. Kelleher, Neil L. |
author_sort | Clevenger, Kenneth D. |
collection | PubMed |
description | The genomes of filamentous fungi contain up to ~90 biosynthetic gene clusters (BGCs), encoding diverse secondary metabolites, an enormous reservoir of untapped chemical potential. However, recalcitrant genetics, cryptic expression, and unculturability prevent the systematic exploitation of these gene clusters and harvesting of their products. With heterologous expression of fungal BGCs largely limited to expression of single or partial clusters, we established a scalable process for expression of large numbers of full-length gene clusters, called FAC-MS. Using Fungal Artificial Chromosomes (FACs) with Metabolomic Scoring (MS) we screened 56 secondary metabolite BGCs from diverse fungal species for expression in A. nidulans. Fifteen new metabolites were discovered and confidently assigned to their BGCs. A new macrolactone, valactamide A, and its hybrid PKS-NRPS gene cluster were characterized extensively using this integrated platform. Regularizing access to fungal secondary metabolites at an unprecedented scale stands to revitalize drug discovery platforms with renewable sources of natural products. |
format | Online Article Text |
id | pubmed-5577364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
record_format | MEDLINE/PubMed |
spelling | pubmed-55773642017-12-12 A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters Clevenger, Kenneth D. Bok, Jin Woo Ye, Rosa Miley, Galen P. Verdan, Maria H. Velk, Thomas Chen, Cynthia Yang, KaHoua Robey, Matthew T. Gao, Peng Lamprecht, Matthew Thomas, Paul M. Islam, Md Nurul Palmer, Jonathan M. Wu, Chengcang C. Keller, Nancy P. Kelleher, Neil L. Nat Chem Biol Article The genomes of filamentous fungi contain up to ~90 biosynthetic gene clusters (BGCs), encoding diverse secondary metabolites, an enormous reservoir of untapped chemical potential. However, recalcitrant genetics, cryptic expression, and unculturability prevent the systematic exploitation of these gene clusters and harvesting of their products. With heterologous expression of fungal BGCs largely limited to expression of single or partial clusters, we established a scalable process for expression of large numbers of full-length gene clusters, called FAC-MS. Using Fungal Artificial Chromosomes (FACs) with Metabolomic Scoring (MS) we screened 56 secondary metabolite BGCs from diverse fungal species for expression in A. nidulans. Fifteen new metabolites were discovered and confidently assigned to their BGCs. A new macrolactone, valactamide A, and its hybrid PKS-NRPS gene cluster were characterized extensively using this integrated platform. Regularizing access to fungal secondary metabolites at an unprecedented scale stands to revitalize drug discovery platforms with renewable sources of natural products. 2017-06-12 2017-08 /pmc/articles/PMC5577364/ /pubmed/28604695 http://dx.doi.org/10.1038/nchembio.2408 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 Clevenger, Kenneth D. Bok, Jin Woo Ye, Rosa Miley, Galen P. Verdan, Maria H. Velk, Thomas Chen, Cynthia Yang, KaHoua Robey, Matthew T. Gao, Peng Lamprecht, Matthew Thomas, Paul M. Islam, Md Nurul Palmer, Jonathan M. Wu, Chengcang C. Keller, Nancy P. Kelleher, Neil L. A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters |
title | A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters |
title_full | A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters |
title_fullStr | A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters |
title_full_unstemmed | A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters |
title_short | A Scalable Platform to Identify Fungal Secondary Metabolites and Their Gene Clusters |
title_sort | scalable platform to identify fungal secondary metabolites and their gene clusters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5577364/ https://www.ncbi.nlm.nih.gov/pubmed/28604695 http://dx.doi.org/10.1038/nchembio.2408 |
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