2013
DOI: 10.1039/c2md20232h
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Gobichelin A and B: mixed-ligandsiderophores discovered using proteomics

Abstract: “Omic” strategies have been increasingly applied to natural product discovery processes, with (meta-)genome sequencing and mining implemented in many laboratories to date. Using the proteomics-based discovery platform called PrISM (Proteomic Investigation of Secondary Metabolism), we discovered two new siderophores gobichelin A and B from Streptomyces sp. NRRL F-4415, a strain without a sequenced genome. Using the proteomics information as a guide, the 37 kb gene cluster responsible for production of gobicheli… Show more

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Cited by 31 publications
(33 citation statements)
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References 22 publications
(38 reference statements)
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“…12,1416 In one such screen, the proteomics data for Streptomyces sp. NRRL F-6652 grown in MSB medium for 48 h identified peptides originating from two NRPS proteins from Streptomyces flavogriseus ATCC 33331 (Figure 1a).…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…12,1416 In one such screen, the proteomics data for Streptomyces sp. NRRL F-6652 grown in MSB medium for 48 h identified peptides originating from two NRPS proteins from Streptomyces flavogriseus ATCC 33331 (Figure 1a).…”
Section: Resultsmentioning
confidence: 99%
“…13 Using the PrISM approach, several new natural products and their corresponding gene clusters have been discovered from bacteria possessing either previously sequenced or non-sequenced genomes. 1416 …”
Section: Introductionmentioning
confidence: 99%
“…Spearheading this renewed interest is the application of genome mining techniques (Bachmann, et al, 2014) and focused efforts to develop new discovery platforms including heterologous expression (Bonet, et al, 2014; Yamanaka, et al, 2014), the activation of silent gene clusters (Seyedsayamdost, 2014), peptidogenomics (Kersten, et al, 2011), glycogenomics (Kersten, et al, 2013), and proteomics (Chen, et al, 2013), all of which have helped to realize this potential. While there have been efforts to automate the process of genome mining (Medema, et al, 2014; Mohimani, et al, 2014; Zhang, et al, 2014), there remain major gaps between the detection of BGCs in genome sequence data and the identification of the metabolites they produce (Jensen, et al, 2014).…”
Section: Discussionmentioning
confidence: 99%
“…Early reports describe the detection of proteins associated with six orphan BGCs in M. xanthus [38]. More recently, the Kelleher group has pioneered the application of proteomics in NP discovery by capitalizing on the properties and size of non-ribosomal peptide synthetases and polyketide synthases (often >200 kDa) and their unique marker ions derived from phosphopantetheinyl cofactors[39,40]. The PrISM (Proteomic Investigation of Secondary Metabolism) platform (not to be confused with the more recent PRISM genome mining tool[11]) was developed to exploit this concept and represents a ‘protein-first’ strategy that is complementary to bioassay-guided and genomic approaches[41].…”
Section: Proteomicsmentioning
confidence: 99%