Evidence map›Paper›PMID 30796063›Full record

ArticleApplied and environmental microbiology2019

Coculturing Bacteria Leads to Reduced Phenotypic Heterogeneities.

Jasmine Heyse, Benjamin Buysschaert, Ruben Props, Peter Rubbens, Andre G Skirtach, Willem Waegeman, Nico Boon

Abstract read
In one paragraph

Article in Applied and environmental microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Analytical chemistry · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Metabolic Synergy between Human SymbiontsMicrobiology spectrum · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article
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

7 authors.

Jasmine HeyseCenter for Microbial Ecology and Technology, Department of Biochemical and Microbial Technology, Ghent University, Ghent, Belgium.ORCID 0000-0002-8858-9803
Benjamin BuysschaertCenter for Microbial Ecology and Technology, Department of Biochemical and Microbial Technology, Ghent University, Ghent, Belgium.
Ruben PropsCenter for Microbial Ecology and Technology, Department of Biochemical and Microbial Technology, Ghent University, Ghent, Belgium.
Peter RubbensKERMIT, Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium.ORCID 0000-0001-5595-4758
Andre G SkirtachNano-Bio-Technology Group, Department of Biotechnology, Ghent University, Ghent, Belgium.
Willem WaegemanKERMIT, Department of Data Analysis and Mathematical Modeling, Ghent University, Ghent, Belgium.
Nico BoonCenter for Microbial Ecology and Technology, Department of Biochemical and Microbial Technology, Ghent University, Ghent, Belgium Nico.Boon@UGent.be.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isogenic bacterial populations are known to exhibit phenotypic heterogeneity at the single-cell level. Because of difficulties in assessing the phenotypic heterogeneity of a single taxon in a mixed community, the importance of this deeper level of organization remains relatively unknown for natural communities. In this study, we have used membrane-based microcosms that allow the probing of the phenotypic heterogeneity of a single taxon while interacting with a synthetic or natural community. Individual taxa were studied under axenic conditions, as members of a coculture with physical separation, and as a mixed culture. Phenotypic heterogeneity was assessed through both flow cytometry and Raman spectroscopy. Using this setup, we investigated the effect of microbial interactions on the individual phenotypic heterogeneities of two interacting drinking water isolates. Through flow cytometry we have demonstrated that interactions between these bacteria lead to a reduction of their individual phenotypic diversities and that this adjustment is conditional on the bacterial taxon. Single-cell Raman spectroscopy confirmed a taxon-dependent phenotypic shift due to the interaction. In conclusion, our data suggest that bacterial interactions may be a general driver of phenotypic heterogeneity in mixed microbial populations.

Indexed as

Axenic CultureBacterial Physiological PhenomenaCoculture TechniquesBacteriaBiodiversityDNA, BacterialEcosystemEnterobacterEnvironmentEnvironmental MicrobiologyFlow CytometryGenetic HeterogeneityMicrobial InteractionsPhenotypePseudomonasVirulenceDNA, Bacterialaxenic culturecocultureflow cytometrymicrobial interactionsphenotypic heterogeneityRaman spectroscopysingle cellsynthetic ecosystems

Identifiers

PMID30796063
PMCPMC6450022

What OpenQuestion holds

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Registered trials

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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.