Evidence map›Paper›PMID 25932020›Full record

ArticleFrontiers in microbiology2015

Phenotypic heterogeneity in metabolic traits among single cells of a rare bacterial species in its natural environment quantified with a combination of flow cell sorting and NanoSIMS.

Matthias Zimmermann, Stéphane Escrig, Thomas Hübschmann, Mathias K Kirf, Andreas Brand, R Fredrik Inglis, Niculina Musat, Susann Müller, Anders Meibom, Martin Ackermann and 1 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
10.6field-weighted citation impact, top 2% of its field
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

38 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. NanoSIP: NanoSIMS Applications for Microbial Biology.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  10. Article
  11. Review
  12. Purple sulfur bacteria fix NNature communications · 2021
    Article
  13. Microbial metabolic noise.WIREs mechanisms of disease · 2021
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Review
  19. Review
  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

11 authors at 4 institutions in 2 countries.

Matthias ZimmermannDepartment of Environmental Systems Sciences, ETH Zurich - Swiss Federal Institute of Technology Zurich, Switzerland ; Molecular Microbial Ecology Group, Department of Environmental Microbiology, Eawag - Swiss Federal Institute of Aquatic Science and Technology Zurich, Switzerland.
Stéphane EscrigDepartment of Environmental Microbiology, Helmholtz-Centre for Environmental Research, Leipzig Germany.
Thomas HübschmannDepartment of Environmental Microbiology, Helmholtz-Centre for Environmental Research, Leipzig Germany.
Mathias K KirfDepartment of Environmental Systems Sciences, ETH Zurich - Swiss Federal Institute of Technology Zurich, Switzerland ; Department of Surface Waters, Eawag - Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum Switzerland.
Andreas BrandDepartment of Environmental Systems Sciences, ETH Zurich - Swiss Federal Institute of Technology Zurich, Switzerland ; Department of Surface Waters, Eawag - Swiss Federal Institute of Aquatic Science and Technology, Kastanienbaum Switzerland.
R Fredrik InglisDepartment of Environmental Systems Sciences, ETH Zurich - Swiss Federal Institute of Technology Zurich, Switzerland ; Molecular Microbial Ecology Group, Department of Environmental Microbiology, Eawag - Swiss Federal Institute of Aquatic Science and Technology Zurich, Switzerland.
Niculina MusatDepartment of Isotope Biogeochemistry, Helmholtz-Centre for Environmental Research, Leipzig Germany.
Susann MüllerDepartment of Environmental Systems Sciences, ETH Zurich - Swiss Federal Institute of Technology Zurich, Switzerland.
Anders MeibomLaboratory for Biological Geochemistry, School of Architecture, Civil and Environmental Engineering, École Polytechnique Fédérale de Lausanne Lausanne, Switzerland ; Center for Advanced Surface Analysis, Institute of Earth Sciences, University of Lausanne, Lausanne Switzerland.
Martin AckermannDepartment of Environmental Systems Sciences, ETH Zurich - Swiss Federal Institute of Technology Zurich, Switzerland ; Molecular Microbial Ecology Group, Department of Environmental Microbiology, Eawag - Swiss Federal Institute of Aquatic Science and Technology Zurich, Switzerland.
Frank SchreiberDepartment of Environmental Systems Sciences, ETH Zurich - Swiss Federal Institute of Technology Zurich, Switzerland ; Molecular Microbial Ecology Group, Department of Environmental Microbiology, Eawag - Swiss Federal Institute of Aquatic Science and Technology Zurich, Switzerland.
Swiss Federal Institute of Aquatic Science and Technology · CHHelmholtz Centre for Environmental Research · DEETH Zurich · CHÉcole Polytechnique Fédérale de Lausanne · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Populations of genetically identical microorganisms residing in the same environment can display marked variability in their phenotypic traits; this phenomenon is termed phenotypic heterogeneity. The relevance of such heterogeneity in natural habitats is unknown, because phenotypic characterization of a sufficient number of single cells of the same species in complex microbial communities is technically difficult. We report a procedure that allows to measure phenotypic heterogeneity in bacterial populations from natural environments, and use it to analyze N2 and CO2 fixation of single cells of the green sulfur bacterium Chlorobium phaeobacteroides from the meromictic lake Lago di Cadagno. We incubated lake water with (15)N2 and (13)CO2 under in situ conditions with and without NH4 (+). Subsequently, we used flow cell sorting with auto-fluorescence gating based on a pure culture isolate to concentrate C. phaeobacteroides from its natural abundance of 0.2% to now 26.5% of total bacteria. C. phaeobacteroides cells were identified using catalyzed-reporter deposition fluorescence in situ hybridization (CARD-FISH) targeting the 16S rRNA in the sorted population with a species-specific probe. In a last step, we used nanometer-scale secondary ion mass spectrometry to measure the incorporation (15)N and (13)C stable isotopes in more than 252 cells. We found that C. phaeobacteroides fixes N2 in the absence of NH4 (+), but not in the presence of NH4 (+) as has previously been suggested. N2 and CO2 fixation were heterogeneous among cells and positively correlated indicating that N2 and CO2 fixation activity interact and positively facilitate each other in individual cells. However, because CARD-FISH identification cannot detect genetic variability among cells of the same species, we cannot exclude genetic variability as a source for phenotypic heterogeneity in this natural population. Our study demonstrates the technical feasibility of measuring phenotypic heterogeneity in a rare bacterial species in its natural habitat, thus opening the door to study the occurrence and relevance of phenotypic heterogeneity in nature.

Indexed as

dinitrogen fixationdiversityFACSgreen sulfur bacteriaLago di Cadagnophenotypic noisephenotypic variabilitysingle-cell analysis

Identifiers

PMID25932020
PMCPMC4399338
OpenAlexW2002099211

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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.