Evidence map›Paper›PMID 28165017›Full record

ArticleScientific reports2017

Bet-hedging in bacteriocin producing Escherichia coli populations: the single cell perspective.

Bihter Bayramoglu, David Toubiana, Simon van Vliet, R Fredrik Inglis, Nadav Shnerb, Osnat Gillor

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
3.5field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 33 citations in OpenAlex.

  1. Article
  2. Review
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  4. Overcoming toxicity: How nonantagonistic microbes manage to thrive in boom-and-bust environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  7. Application of anEngineering in life sciences · 2023
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  14. Competition amongVeterinary sciences · 2018
    Article
  15. Article
  16. Article
  17. Lectin-Like Bacteriocins.Frontiers in microbiology · 2018
    Review
  18. 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

6 authors at 4 institutions in 3 countries.

Bihter BayramogluZuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Midreshet Ben Gurion 84990, Israel.
David ToubianaZuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Midreshet Ben Gurion 84990, Israel.
Simon van VlietDepartment of Environmental Microbiology, Swiss Federal Institute of Aquatic Science and Technology (Eawag), Ueberlandstrasse 133, 8600 Dübendorf, Switzerland.
R Fredrik InglisDepartment of Biology, Washington University in St. Louis, One Brookings Drive, St. Louis, MO 63130, USA.
Nadav ShnerbDepartment of Physics, Bar Ilan University, Ramat Gan 52990, Israel.
Osnat GillorZuckerberg Institute for Water Research, Blaustein Institutes for Desert Research, Ben Gurion University of the Negev, Midreshet Ben Gurion 84990, Israel.
Ben-Gurion University of the Negev · ILBar-Ilan University · ILSwiss Federal Institute of Aquatic Science and Technology · CHWashington University in St. Louis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Production of public goods in biological systems is often a collaborative effort that may be detrimental to the producers. It is therefore sustainable only if a small fraction of the population shoulders the cost while the majority reap the benefits. We modelled this scenario using Escherichia coli populations producing colicins, an antibiotic that kills producer cells' close relatives. Colicin expression is a costly trait, and it has been proposed that only a small fraction of the population actively expresses the antibiotic. Colicinogenic populations were followed at the single-cell level using time-lapse microscopy, and showed two distinct, albeit dynamic, subpopulations: the majority silenced colicin expression, while a small fraction of elongated, slow-growing cells formed colicin-expressing hotspots, placing a significant burden on expressers. Moreover, monitoring lineages of individual colicinogenic cells showed stochastic switching between expressers and non-expressers. Hence, colicin expressers may be engaged in risk-reducing strategies-or bet-hedging-as they balance the cost of colicin production with the need to repel competitors. To test the bet-hedging strategy in colicin-mediated interactions, competitions between colicin-sensitive and producer cells were simulated using a numerical model, demonstrating a finely balanced expression range that is essential to sustaining the colicinogenic population.

Indexed as

Anti-Bacterial AgentsBacteriocin PlasmidsBacteriocinsColicinsEscherichia coliMicroscopy, FluorescenceModels, TheoreticalPhenotypeTime-Lapse ImagingAnti-Bacterial AgentsBacteriocinsColicins

Identifiers

PMID28165017
PMCPMC5292716
OpenAlexW2586378157

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.