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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 |
Sumario: | 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. |
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