4.8 Article

Mass spectral molecular networking of living microbial colonies

Publisher

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1203689109

Keywords

ambient mass spectrometry; microbial ecology; natural products

Funding

  1. National Institutes of Health (NIH) [GM094802, AI095125, 1-P41-RR024851, GM085770]
  2. German Research Foundation, Deutsche Forschungsgemeinschaft (DFG) [DFG-FOR854 GR2673/2-1]
  3. Chemical Imaging Program at Pacific Northwest National Laboratory (PNNL)
  4. US Department of Energy (DOE) Science Undergraduate Laboratory Internship (SULI) program at PNNL
  5. Dutch Science Organization Ecology Regarding Gene-Modified Organisms [838.06.101]
  6. Netherlands Genomics Initiative (NGI) ECOLINC and PreSeed
  7. DOE's Office of Biological and Environmental Research
  8. National Institutes of Health (NIH) [GM094802, AI095125, 1-P41-RR024851, GM085770]
  9. German Research Foundation, Deutsche Forschungsgemeinschaft (DFG) [DFG-FOR854 GR2673/2-1]
  10. Chemical Imaging Program at Pacific Northwest National Laboratory (PNNL)
  11. US Department of Energy (DOE) Science Undergraduate Laboratory Internship (SULI) program at PNNL
  12. Dutch Science Organization Ecology Regarding Gene-Modified Organisms [838.06.101]
  13. Netherlands Genomics Initiative (NGI) ECOLINC and PreSeed
  14. DOE's Office of Biological and Environmental Research

Ask authors/readers for more resources

Integrating the governing chemistry with the genomics and phenotypes of microbial colonies has been a holy grail in microbiology. This work describes a highly sensitive, broadly applicable, and cost-effective approach that allows metabolic profiling of live microbial colonies directly from a Petri dish without any sample preparation. Nanospray desorption electrospray ionization mass spectrometry (MS), combined with alignment of MS data and molecular networking, enabled monitoring of metabolite production from live microbial colonies from diverse bacterial genera, including Bacillus subtilis, Streptomyces coelicolor, Mycobacterium smegmatis, and Pseudomonas aeruginosa. This work demonstrates that, by using these tools to visualize small molecular changes within bacterial interactions, insights can be gained into bacterial developmental processes as a result of the improved organization of MS/MS data. To validate this experimental platform, metabolic profiling was performed on Pseudomonas sp. SH-C52, which protects sugar beet plants from infections by specific soil-borne fungi [R. Mendes et al. (2011) Science 332: 1097-1100]. The antifungal effect of strain SHC52 was attributed to thanamycin, a predicted lipopeptide encoded by a nonribosomal peptide synthetase gene cluster. Our technology, in combination with our recently developed peptidogenomics strategy, enabled the detection and partial characterization of thanamycin and showed that it is a monochlorinated lipopeptide that belongs to the syringomycin family of antifungal agents. In conclusion, the platform presented here provides a significant advancement in our ability to understand the spatiotemporal dynamics of metabolite production in live microbial colonies and communities.

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