Unlocking Cryptic Metabolites with Mass Spectrometry-Guided Transposon Mutant Selection.
Aya YoshimuraBrett C CovingtonÉtienne GallantChen ZhangAnran LiMohammad R SeyedsayamdostPublished in: ACS chemical biology (2020)
The products of most secondary metabolite biosynthetic gene clusters (BGCs) have yet to be discovered, in part due to low expression levels in laboratory cultures. Reporter-guided mutant selection (RGMS) has recently been developed for this purpose: a mutant library is generated and screened, using genetic reporters to a chosen BGC, to select transcriptionally active mutants that then enable the characterization of the "cryptic" metabolite. The requirement for genetic reporters limits the approach to a single pathway within genetically tractable microorganisms. Herein, we utilize untargeted metabolomics in conjunction with transposon mutagenesis to provide a global read-out of secondary metabolism across large numbers of mutants. We employ self-organizing map analytics and imaging mass spectrometry to identify and characterize seven cryptic metabolites from mutant libraries of two different Burkholderia species. Applications of the methodologies reported can expand our understanding of the products and regulation of cryptic BGCs across phylogenetically diverse bacteria.
Keyphrases
- mass spectrometry
- wild type
- liquid chromatography
- high resolution
- genome wide
- ms ms
- copy number
- crispr cas
- gas chromatography
- high performance liquid chromatography
- poor prognosis
- big data
- gene expression
- dna methylation
- single molecule
- long non coding rna
- transcription factor
- gas chromatography mass spectrometry
- deep learning