Please use this identifier to cite or link to this item: doi:10.22028/D291-28550
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Title: Correlating chemical diversity with taxonomic distance for discovery of natural products in myxobacteria
Author(s): Hoffmann, Thomas
Krug, Daniel
Bozkurt, Nisa
Duddela, Srikanth
Jansen, Rolf
Garcia, Ronald
Gerth, Klaus
Steinmetz, Heinrich
Müller, Rolf
Language: English
Title: Nature Communications
Volume: 9
Issue: 1
Publisher/Platform: Nature Publishing Group UK
Year of Publication: 2018
Publikation type: Journal Article
Abstract: Some bacterial clades are important sources of novel bioactive natural products. Estimating the magnitude of chemical diversity available from such a resource is complicated by issues including cultivability, isolation bias and limited analytical data sets. Here we perform a systematic metabolite survey of ~2300 bacterial strains of the order Myxococcales, a well-established source of natural products, using mass spectrometry. Our analysis encompasses both known and previously unidentified metabolites detected under laboratory cultivation conditions, thereby enabling large-scale comparison of production profiles in relation to myxobacterial taxonomy. We find a correlation between taxonomic distance and the production of distinct secondary metabolite families, further supporting the idea that the chances of discovering novel metabolites are greater by examining strains from new genera rather than additional representatives within the same genus. In addition, we report the discovery and structure elucidation of rowithocin, a myxobacterial secondary metabolite featuring an uncommon phosphorylated polyketide scaffold.
DOI of the first publication: 10.1038/s41467-018-03184-1
URL of the first publication: https://www.nature.com/articles/s41467-018-03184-1
Link to this record: hdl:20.500.11880/27696
http://dx.doi.org/10.22028/D291-28550
ISSN: 2041-1723
Date of registration: 7-Sep-2019
Faculty: NT - Naturwissenschaftlich- Technische Fakultät
Department: NT - Pharmazie
Professorship: NT - Prof. Dr. Rolf Müller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

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