Evidence map›Paper›PMID 21951910›Full record

ArticleEcology letters2011

Cheating, trade-offs and the evolution of aggressiveness in a natural pathogen population.

Luke G Barrett, Thomas Bell, Greg Dwyer, Joy Bergelson

Abstract readLetter
In one paragraph

Article in Ecology letters, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Persistent trade-offs balance competition and colonization across centuries.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  13. Genetic Causes of Non-pathogenicFrontiers in microbiology · 2021
    Article
  14. Review
  15. Article
  16. Article
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  19. Article
  20. Review
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

4 authors.

Luke G BarrettDepartment of Ecology & Evolution, University of Chicago, Chicago, IL, USA.
Thomas Bell
Greg Dwyer
Joy Bergelson

Funding

EVOLUTIONARY DYNAMICS OF GENE-FOR-GENE SYSTEMSR01GM062504 · NIGMS · UNIVERSITY OF CHICAGO · PI BERGELSON, JOY M · 2001 to 2004
$1.7M
Natural Selection, Host-Pathogen Interactions, and Insect OutbreaksR01GM096655 · NIGMS · UNIVERSITY OF CHICAGO · PI DWYER, GREGORY · 2010 to 2013
$1.2M
NIGMS NIH HHS R01 GM062504NIGMS NIH HHS R01 GM096655
6 · The paper itself

Abstract

The evolutionary dynamics of pathogens are critically important for disease outcomes, prevalence and emergence. In this study we investigate ecological conditions that may promote the long-term maintenance of virulence polymorphisms in pathogen populations. Recent theory predicts that evolution towards increased virulence can be reversed if less-aggressive social 'cheats' exploit more aggressive 'cooperator' pathogens. However, there is no evidence that social exploitation operates within natural pathogen populations. We show that for the bacterium Pseudomonas syringae, major polymorphisms for pathogenicity are maintained at unexpectedly high frequencies in populations infecting the host Arabidopsis thaliana. Experiments reveal that less-aggressive strains substantially increase their growth potential in mixed infections and have a fitness advantage in non-host environments. These results suggest that niche differentiation can contribute to the maintenance of virulence polymorphisms, and that both within-host and between-host growth rates modulate cheating and cooperation in P. syringae populations.

Indexed as

Biological EvolutionHost-Pathogen InteractionsArabidopsisBacterial Secretion SystemsPlant DiseasesPolymorphism, GeneticPseudomonas syringaeVirulenceBacterial Secretion Systems

Identifiers

PMID21951910
PMCPMC3190666

What OpenQuestion holds

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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.