Evidence map›Paper›PMID 24474743›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Evolution of microbial markets.

Gijsbert D A Werner, Joan E Strassmann, Aniek B F Ivens, Daniel J P Engelmoer, Erik Verbruggen, David C Queller, Ronald Noë, Nancy Collins Johnson, Peter Hammerstein, E Toby Kiers

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 68 papers.

0numbers the graph read from it
0cells of the map it votes in
68citing 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

68 citing papers in PubMed.

  1. Review
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  4. ExoticFrontiers in microbiology · 2026
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  7. Review
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  9. Article
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  14. A marine cleaning mutualism provides new insights in biological market dynamics.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  15. Article
  16. Review
  17. Review
  18. Review
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  20. Article

8 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

10 authors.

Gijsbert D A WernerDepartment of Ecological Science, Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands.
Joan E Strassmann
Aniek B F Ivens
Daniel J P Engelmoer
Erik Verbruggen
David C Queller
Ronald Noë
Nancy Collins Johnson
Peter Hammerstein
E Toby Kiers

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological market theory has been used successfully to explain cooperative behavior in many animal species. Microbes also engage in cooperative behaviors, both with hosts and other microbes, that can be described in economic terms. However, a market approach is not traditionally used to analyze these interactions. Here, we extend the biological market framework to ask whether this theory is of use to evolutionary biologists studying microbes. We consider six economic strategies used by microbes to optimize their success in markets. We argue that an economic market framework is a useful tool to generate specific and interesting predictions about microbial interactions, including the evolution of partner discrimination, hoarding strategies, specialized versus diversified mutualistic services, and the role of spatial structures, such as flocks and consortia. There is untapped potential for studying the evolutionary dynamics of microbial systems. Market theory can help structure this potential by characterizing strategic investment of microbes across a diversity of conditions.

Indexed as

CommerceMicrobiologyCooperative BehaviorSymbiosiscooperationmutualismpartner choicetrade

Identifiers

PMID24474743
PMCPMC3910570

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.