Evidence map›Paper›PMID 24686929›Full record

ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2014

The genetical theory of social behaviour.

Laurent Lehmann, François Rousset

Abstract readReview
In one paragraph

Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. 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
  6. Evolutionary game theory of continuous traits from a causal perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  7. Evolutionarily stable strategy analysis and its links to demography and genetics through invasion fitness.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  8. Article
  9. Evolution of class-structured populations in periodic environments.Evolution; international journal of organic evolution · 2022
    Article
  10. The gene's eye view, the Gouldian knot, Fisherian swords and the causes of selection.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Article
  11. Article
  12. The evolution of early-life effects on social behaviour-why should social adversity carry over to the future?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Article
  13. Crystal toxins and the volunteer's dilemma in bacteria.Journal of evolutionary biology · 2019
    Article
  14. Defining fitness in an uncertain world.Journal of mathematical biology · 2018
    Article
  15. Article
  16. Article
  17. The general form of Hamilton's rule makes no predictions and cannot be tested empirically.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  18. The causal meaning of Hamilton's rule.Royal Society open science · 2016
    Article
  19. There is no fitness but fitness, and the lineage is its bearer.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016
    Review
  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

2 authors.

Laurent LehmannDepartment of Ecology and Evolution, UNIL Sorge, , Le Biophore, 1015 Lausanne, Switzerland.
François Rousset

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We survey the population genetic basis of social evolution, using a logically consistent set of arguments to cover a wide range of biological scenarios. We start by reconsidering Hamilton's (Hamilton 1964 J. Theoret. Biol. 7, 1-16 (doi:10.1016/0022-5193(64)90038-4)) results for selection on a social trait under the assumptions of additive gene action, weak selection and constant environment and demography. This yields a prediction for the direction of allele frequency change in terms of phenotypic costs and benefits and genealogical concepts of relatedness, which holds for any frequency of the trait in the population, and provides the foundation for further developments and extensions. We then allow for any type of gene interaction within and between individuals, strong selection and fluctuating environments and demography, which may depend on the evolving trait itself. We reach three conclusions pertaining to selection on social behaviours under broad conditions. (i) Selection can be understood by focusing on a one-generation change in mean allele frequency, a computation which underpins the utility of reproductive value weights; (ii) in large populations under the assumptions of additive gene action and weak selection, this change is of constant sign for any allele frequency and is predicted by a phenotypic selection gradient; (iii) under the assumptions of trait substitution sequences, such phenotypic selection gradients suffice to characterize long-term multi-dimensional stochastic evolution, with almost no knowledge about the genetic details underlying the coevolving traits. Having such simple results about the effect of selection regardless of population structure and type of social interactions can help to delineate the common features of distinct biological processes. Finally, we clarify some persistent divergences within social evolution theory, with respect to exactness, synergies, maximization, dynamic sufficiency and the role of genetic arguments.

Indexed as

Biological EvolutionEnvironmentModels, BiologicalPhenotypeSelection, GeneticSocial BehaviorAnimalsGame TheoryGene FrequencyGenetics, Populationdemographic stochasticityenvironmental stochasticitygame theoryinclusive fitnessmaximizationmulti-locus models

Identifiers

PMID24686929
PMCPMC3982659

What OpenQuestion holds

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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.