Evidence map›Paper›PMID 23516238›Full record

ArticleProceedings. Biological sciences2013

Altruism can evolve when relatedness is low: evidence from bacteria committing suicide upon phage infection.

Dominik Refardt, Tobias Bergmiller, Rolf Kümmerli

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
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  14. Cell Death in Evolutionary Transitions in Individuality.The Yale journal of biology and medicine · 2019
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Evolutionary Ecology of Prokaryotic Immune Mechanisms.Microbiology and molecular biology reviews : MMBR · 2016
    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

3 authors.

Dominik RefardtDepartment of Environmental Systems Science, Institute of Integrative Biology, Swiss Federal Institute of Technology, Universitätsstrasse 16, 8092 Zürich, Switzerland. dominik.refardt@gmail.com
Tobias Bergmiller
Rolf Kümmerli

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High relatedness among interacting individuals has generally been considered a precondition for the evolution of altruism. However, kin-selection theory also predicts the evolution of altruism when relatedness is low, as long as the cost of the altruistic act is minor compared with its benefit. Here, we demonstrate evidence for a low-cost altruistic act in bacteria. We investigated Escherichia coli responding to the attack of an obligately lytic phage by committing suicide in order to prevent parasite transmission to nearby relatives. We found that bacterial suicide provides large benefits to survivors at marginal costs to committers. The cost of suicide was low, because infected cells are moribund, rapidly dying upon phage infection, such that no more opportunity for reproduction remains. As a consequence of its marginal cost, host suicide was selectively favoured even when relatedness between committers and survivors approached zero. Altogether, our findings demonstrate that low-cost suicide can evolve with ease, represents an effective host-defence strategy, and seems to be widespread among microbes. Moreover, low-cost suicide might also occur in higher organisms as exemplified by infected social insect workers leaving the colony to die in isolation.

Indexed as

AltruismBacteriophage T4ColiphagesEscherichia coliFlow CytometryMicrobial InteractionsProphagesSelection, GeneticViral Nonstructural ProteinsRexA protein, Bacteriophage lambdaViral Nonstructural Proteins

Identifiers

PMID23516238
PMCPMC3619501

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.