2016
DOI: 10.1021/acscentsci.5b00331
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Metabologenomics: Correlation of Microbial Gene Clusters with Metabolites Drives Discovery of a Nonribosomal Peptide with an Unusual Amino Acid Monomer

Abstract: For more than half a century the pharmaceutical industry has sifted through natural products produced by microbes, uncovering new scaffolds and fashioning them into a broad range of vital drugs. We sought a strategy to reinvigorate the discovery of natural products with distinctive structures using bacterial genome sequencing combined with metabolomics. By correlating genetic content from 178 actinomycete genomes with mass spectrometry-enabled analyses of their exported metabolomes, we paired new secondary met… Show more

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Cited by 108 publications
(132 citation statements)
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References 29 publications
(43 reference statements)
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“…53-55 In fact, this method can be paired with matching isotope patterns for de novo chemical formula determination, which is particularly helpful when dealing with an unknown compound and beginning a full structure determination. 56,57 …”
Section: Enhancing Dereplication With Ms2 Datamentioning
confidence: 99%
“…53-55 In fact, this method can be paired with matching isotope patterns for de novo chemical formula determination, which is particularly helpful when dealing with an unknown compound and beginning a full structure determination. 56,57 …”
Section: Enhancing Dereplication With Ms2 Datamentioning
confidence: 99%
“…13,14 When metabologenomics is applied to actinomycetes, a rich source of microbial natural products, 15 the method provides a new screen for active secondary metabolism. 13 Thus, despite the extensive efforts of the natural products research community to characterize actinomycetes natural products, these organisms still contain a trove of new scaffolds and enzymes.…”
mentioning
confidence: 99%
“…These include glycosylated compounds (32), nonribosomal peptides (33), enediynes (34), phosphonates (35), and halogenated compounds (36). Identifying related clusters in multiple organisms is also becoming a widely accepted means of informatically characterizing a new gene cluster (for example, the cluster associated with tambromycin [37]). This has particular value in identifying the edges of the cluster, a process that classically involves disrupting genes at the predicted edges of the cluster.…”
Section: Discussionmentioning
confidence: 99%