A1 Journal article (refereed)
Realistic genetic architecture enables organismal adaptation as predicted under the folk definition of inclusive fitness (2021)

Garcia‐Costoya, G., & Fromhage, L. (2021). Realistic genetic architecture enables organismal adaptation as predicted under the folk definition of inclusive fitness. Journal of Evolutionary Biology, 34(7), 1087-1094. https://doi.org/10.1111/jeb.13795

JYU authors or editors

Publication details

All authors or editors: Garcia‐Costoya, Guillermo; Fromhage, Lutz

Journal or series: Journal of Evolutionary Biology

ISSN: 1010-061X

eISSN: 1420-9101

Publication year: 2021

Publication date: 02/05/2021

Volume: 34

Issue number: 7

Pages range: 1087-1094

Publisher: Wiley-Blackwell

Publication country: United Kingdom

Publication language: English

DOI: https://doi.org/10.1111/jeb.13795

Research data link: https://doi.org/10.5061/dryad.1jwstqjv7

Publication open access: Openly available

Publication channel open access: Partially open access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/77105

Additional information: The used MATLAB code can be found in Dryad.


A fundamental task of evolutionary biology is to explain the pervasive impression of organismal design in nature, including traits benefiting kin. Inclusive fitness is considered by many to be a crucial piece in this puzzle, despite ongoing discussion about its scope and limitations. Here we use individual‐based simulations to study what quantity (if any) individual organisms become adapted to maximise when genetic architectures are more or less suitable for the presumed main driver of biological adaptation: namely, cumulative multi‐locus evolution. As an expository device we focus on a hypothetical situation called Charlesworth’s paradox, in which altruism is seemingly predicted to evolve, yet altruists immediately perish along with their altruistic genes. Our results support a recently proposed re‐definition of inclusive fitness, which is concerned with the adaptive design of whole organisms as shaped by multi‐locus evolution, rather than with selection for any focal gene. They also illustrate how our conceptual understanding of adaptation at the phenotypic level should inform our choice of genetic assumptions in abstract simplified models.

Keywords: evolutionary biology; evolution; natural selection; kin selection; adaptation (change); genes

Free keywords: evolutionary biology

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2021

JUFO rating: 2

Last updated on 2022-20-09 at 14:41