Evidence map›Paper›PMID 22586093›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2012

Mass spectral molecular networking of living microbial colonies.

Jeramie Watrous, Patrick Roach, Theodore Alexandrov, Brandi S Heath, Jane Y Yang, Roland D Kersten, Menno van der Voort, Kit Pogliano, Harald Gross, Jos M Raaijmakers and 4 more

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 486 papers.

0numbers the graph read from it
0cells of the map it votes in
486citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

486 citing papers in PubMed.

  1. Article
  2. Article
  3. Phytochemical Profiling andFoods (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
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  12. Article
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  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Review
  20. Pan-Metabolomics Repository Mapping of the Carnitine Landscape.bioRxiv : the preprint server for biology · 2026
    Article

426 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors.

Jeramie WatrousDepartment of Pharmacology, University of California at San Diego, La Jolla, CA 92093, USA.
Patrick Roach
Theodore Alexandrov
Brandi S Heath
Jane Y Yang
Roland D Kersten
Menno van der Voort
Kit Pogliano
Harald Gross
Jos M Raaijmakers
Bradley S Moore
Julia Laskin
Nuno Bandeira
Pieter C Dorrestein

Funding

Natural Product Genome MiningR01GM085770 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JENSEN, PAUL R, MOORE, BRADLEY S · 2009 to 2024
$5.8M
CENTER FOR COMPUTATIONAL MASS-SPECTROMETRYP41RR024851 · NCRR · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PEVZNER, PAVEL A · 2008 to 2011
$5.2M
The chemical and genetic basis of interspecies interactionsR01AI095125 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORRESTEIN, PIETER C, POGLIANO, KIT J · 2011 to 2014
$2.4M
Real-Time Imaging of metabolic CommunicationR01GM094802 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DORRESTEIN, PIETER C · 2010 to 2013
$1.0M
NCRR NIH HHS 1-P41-RR024851NCRR NIH HHS P41 RR024851NIAID NIH HHS AI095125NIAID NIH HHS R01 AI095125NIGMS NIH HHS GM085770NIGMS NIH HHS GM094802NIGMS NIH HHS R01 GM085770NIGMS NIH HHS R01 GM094802
6 · The paper itself

Abstract

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 SH-C52 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.

Indexed as

Bacillus subtilisBase SequenceMass SpectrometryMultigene FamilyMycobacterium smegmatisPseudomonas aeruginosaStreptomyces coelicolor

Identifiers

PMID22586093
PMCPMC3387089

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.