Evidence map›Paper›PMID 32015496›Full record

ArticleNature microbiology2020

Spatial metabolomics of in situ host-microbe interactions at the micrometre scale.

Benedikt Geier, Emilia M Sogin, Dolma Michellod, Moritz Janda, Mario Kompauer, Bernhard Spengler, Nicole Dubilier, Manuel Liebeke

Abstract read
PubMed Publisher
In one paragraph

Article in Nature microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 121 papers.

0numbers the graph read from it
0cells of the map it votes in
121citing 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

121 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Spatial Distribution of Astins inJournal of natural products · 2026
    Article
  13. Review
  14. Microbial Omics.Progress in molecular and subcellular biology · 2026
    Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. iScience · 2025
    Article
  20. Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Benedikt GeierMax Planck Institute for Marine Microbiology, Bremen, Germany. bgeier@mpi-bremen.de.ORCID http://orcid.org/0000-0002-2942-2624
Emilia M SoginMax Planck Institute for Marine Microbiology, Bremen, Germany.
Dolma MichellodMax Planck Institute for Marine Microbiology, Bremen, Germany.
Moritz JandaMax Planck Institute for Marine Microbiology, Bremen, Germany.
Mario KompauerInstitute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Giessen, Germany.
Bernhard SpenglerInstitute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Giessen, Germany.
Nicole DubilierMax Planck Institute for Marine Microbiology, Bremen, Germany.ORCID http://orcid.org/0000-0002-9394-825X
Manuel LiebekeMax Planck Institute for Marine Microbiology, Bremen, Germany. mliebeke@mpi-bremen.de.ORCID http://orcid.org/0000-0002-2339-1409

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Spatial metabolomics describes the location and chemistry of small molecules involved in metabolic phenotypes, defence molecules and chemical interactions in natural communities. Most current techniques are unable to spatially link the genotype and metabolic phenotype of microorganisms in situ at a scale relevant to microbial interactions. Here, we present a spatial metabolomics pipeline (metaFISH) that combines fluorescence in situ hybridization (FISH) microscopy and high-resolution atmospheric-pressure matrix-assisted laser desorption/ionization mass spectrometry to image host-microbe symbioses and their metabolic interactions. The metaFISH pipeline aligns and integrates metabolite and fluorescent images at the micrometre scale to provide a spatial assignment of host and symbiont metabolites on the same tissue section. To illustrate the advantages of metaFISH, we mapped the spatial metabolome of a deep-sea mussel and its intracellular symbiotic bacteria at the scale of individual epithelial host cells. Our analytical pipeline revealed metabolic adaptations of the epithelial cells to the intracellular symbionts and variation in metabolic phenotypes within a single symbiont 16S rRNA phylotype, and enabled the discovery of specialized metabolites from the host-microbe interface. metaFISH provides a culture-independent approach to link metabolic phenotypes to community members in situ and is a powerful tool for microbiologists across fields.

Indexed as

AnimalsBacteriaBivalviaHost Microbial InteractionsIn Situ Hybridization, FluorescenceMetabolomeMetabolomicsMicrobiotaRNA, Ribosomal, 16SSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSymbiosisTandem Mass SpectrometryRNA, Ribosomal, 16S

Identifiers

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.