Evidence map›Paper›PMID 26613415›Full record

ArticleeLife2015

The evolution of adhesiveness as a social adaptation.

Thomas Garcia, Guilhem Doulcier, Silvia De Monte

Abstract read
In one paragraph

Article in eLife, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  7. The possible modes of microbial reproduction are fundamentally restricted by distribution of mass between parent and offspring.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  13. Evolution of simple multicellular life cycles in dynamic environments.Journal of the Royal Society, Interface · 2019
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  14. Article
  15. Article
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  18. Evolving synergetic interactions.Journal of the Royal Society, Interface · 2016
    Article
  19. 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.

Thomas GarciaInstitut d'écologie et des sciences de l'environnement, Université Pierre et Marie Curie, Paris, France.
Guilhem DoulcierInstitut de Biologie de l'École Normale Supérieure, École Normale Supérieure, PSL Research University, Paris, France.ORCID http://orcid.org/0000-0003-3720-9089
Silvia De MonteInstitut de Biologie de l'École Normale Supérieure, École Normale Supérieure, PSL Research University, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cellular adhesion is a key ingredient to sustain collective functions of microbial aggregates. Here, we investigate the evolutionary origins of adhesion and the emergence of groups of genealogically unrelated cells with a game-theoretical model. The considered adhesiveness trait is costly, continuous and affects both group formation and group-derived benefits. The formalism of adaptive dynamics reveals two evolutionary stable strategies, at each extreme on the axis of adhesiveness. We show that cohesive groups can evolve by small mutational steps, provided the population is already endowed with a minimum adhesiveness level. Assortment between more adhesive types, and in particular differential propensities to leave a fraction of individuals ungrouped at the end of the aggregation process, can compensate for the cost of increased adhesiveness. We also discuss the change in the social nature of more adhesive mutations along evolutionary trajectories, and find that altruism arises before directly beneficial behavior, despite being the most challenging form of cooperation.

Indexed as

Biological EvolutionCell AdhesionAdhesivenessModels, Biologicaladaptive dynamicsaltruismcomputational biologyevolutionary biologygenomicsmicrobial adhesionnonesocial evolutionsystems biology

Identifiers

PMID26613415
PMCPMC4775229

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.