Evidence map›Paper›PMID 36934752›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2023

Evolutionary game theory and the adaptive dynamics approach: adaptation where individuals interact.

Piret Avila, Charles Mullon

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
14.4field-weighted citation impact, top 1% 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

12 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Evolutionary game theory and the adaptive dynamics approach: adaptation where individuals interact.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  10. Evolutionary game theory of continuous traits from a causal perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  11. Half a century of evolutionary games: a synthesis of theory, application and future directions.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  12. 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

2 authors at 2 institutions in 2 countries.

Piret AvilaInstitute for Advanced Studies in Toulouse, Université Toulouse 1 Capitole, 31080 Toulouse, France.ORCID 0000-0002-4779-3699
Charles MullonDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland.ORCID 0000-0002-9875-4227
Ecologie & Evolution · FRUniversité Toulouse-I-Capitole · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary game theory and the adaptive dynamics approach have made invaluable contributions to understanding how gradual evolution leads to adaptation when individuals interact. Here, we review some of the basic tools that have come out of these contributions to model the evolution of quantitative traits in complex populations. We collect together mathematical expressions that describe directional and disruptive selection in class- and group-structured populations in terms of individual fitness, with the aims of bridging different models and interpreting selection. In particular, our review of disruptive selection suggests there are two main paths that can lead to diversity: (i) when individual fitness increases more than linearly with trait expression; (ii) when trait expression simultaneously increases the probability that an individual is in a certain context (e.g. a given age, sex, habitat, size or social environment) and fitness in that context. We provide various examples of these and more broadly argue that population structure lays the ground for the emergence of polymorphism with unique characteristics. Beyond this, we hope that the descriptions of selection we present here help see the tight links among fundamental branches of evolutionary biology, from life history to social evolution through evolutionary ecology, and thus favour further their integration. This article is part of the theme issue 'Half a century of evolutionary games: a synthesis of theory, application and future directions'.

Indexed as

Biological EvolutionGame TheoryEcologyEcosystemHumansPolymorphism, GeneticPopulation DynamicsSelection, Geneticdisruptive selectiongradual evolutionpolymorphism‌structured populations

Identifiers

PMID36934752
PMCPMC10024992
OpenAlexW4327860607

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.