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Research Article

The evolution of altruism and the serial rediscovery of the role of relatedness

View ORCID ProfileTomas Kay, View ORCID ProfileLaurent Keller, and View ORCID ProfileLaurent Lehmann
PNAS November 17, 2020 117 (46) 28894-28898; first published November 2, 2020; https://doi.org/10.1073/pnas.2013596117
Tomas Kay
aDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
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  • ORCID record for Tomas Kay
Laurent Keller
aDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
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  • For correspondence: Laurent.Keller@unil.ch
Laurent Lehmann
aDepartment of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland
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  • ORCID record for Laurent Lehmann
  1. Edited by Joan E. Strassmann, Washington University in St. Louis, St. Louis, MO, and approved October 2, 2020 (received for review July 6, 2020)

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Significance

The canonical explanation for the evolution of altruism (“kin selection”)—which was mathematically derived in the 1960s by W. D. Hamilton—emphasizes the importance of genetic relatedness. Over the past three decades, numerous authors claim to have discovered alternative explanations. We systematically analyze the models substantiating these claims and reveal that in every model the interacting individuals are genetically related and that the authors have therefore unwittingly rediscovered Hamilton’s insight.

Abstract

The genetic evolution of altruism (i.e., a behavior resulting in a net reduction of the survival and/or reproduction of an actor to benefit a recipient) once perplexed biologists because it seemed paradoxical in a Darwinian world. More than half a century ago, W. D. Hamilton explained that when interacting individuals are genetically related, alleles for altruism can be favored by selection because they are carried by individuals more likely to interact with other individuals carrying the alleles for altruism than random individuals in the population (“kin selection”). In recent decades, a substantial number of supposedly alternative pathways to altruism have been published, leading to controversies surrounding explanations for the evolution of altruism. Here, we systematically review the 200 most impactful papers published on the evolution of altruism and identify 43 evolutionary models in which altruism evolves and where the authors attribute the evolution of altruism to a pathway other than kin selection and/or deny the role of relatedness. An analysis of these models reveals that in every case the life cycle assumptions entail local reproduction and local interactions, thereby leading to interacting individuals being genetically related. Thus, contrary to the authors’ claims, Hamilton’s relatedness drives the evolution to altruism in their models. The fact that several decades of investigating the evolution to altruism have resulted in the systematic and unwitting rediscovery of the same mechanism is testament to the fundamental importance of positive relatedness between actor and recipient for explaining the evolution of altruism.

  • evolution
  • kin selection
  • altruism
  • Hamilton’s rule
  • rediscovery

Footnotes

  • ↵1To whom correspondence may be addressed. Email: Laurent.Keller{at}unil.ch.
  • Author contributions: T.K., L.K., and L.L. designed research; T.K. and L.L. analyzed data; and T.K., L.K., and L.L. wrote the paper.

  • The authors declare no competing interest.

  • This article is a PNAS Direct Submission.

  • This article contains supporting information online at https://www.pnas.org/lookup/suppl/doi:10.1073/pnas.2013596117/-/DCSupplemental.

Data Availability.

All study data are included in this article and SI Appendix.

Published under the PNAS license.

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The evolution of altruism and the serial rediscovery of the role of relatedness
Tomas Kay, Laurent Keller, Laurent Lehmann
Proceedings of the National Academy of Sciences Nov 2020, 117 (46) 28894-28898; DOI: 10.1073/pnas.2013596117

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The evolution of altruism and the serial rediscovery of the role of relatedness
Tomas Kay, Laurent Keller, Laurent Lehmann
Proceedings of the National Academy of Sciences Nov 2020, 117 (46) 28894-28898; DOI: 10.1073/pnas.2013596117
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