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Assortment and the analysis of natural selection on social traits

Abstract:
A central problem in evolutionary biology is to determine whether and how social interactions contribute to natural selection. This can be addressed with selection analyses that relate individual fitness to individual and social phenotypes. One such approach, known as social selection analysis, leads to the intuitive result that fitness effects from social partners will contribute to selection only if there is a correlation between the traits of individuals and their social partners (non-random phenotypic assortment). However, there have been inconsistencies in the application of this approach that center around the measurement of phenotypic assortment. Here, we use data analysis and simulations to resolve these inconsistencies, showing that: (i) not all measures of assortment are suitable for social selection analysis; and (ii) the interpretation of assortment, and how to detect non-random assortment, will depend on the scale at which it is measured. We discuss links between social selection and kin selection theory, and we provide a practical guide for the social selection approach. This article is protected by copyright. All rights reserved.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1111/evo.13365

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Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
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Department:
Edward Grey Institute of Field Ornithology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Zoology
Role:
Author
More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Plant Sciences
Role:
Author


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Grant:
DRF, grant no. BB/L006081/1 awarded to Ben C. Sheldon


Publisher:
Wiley
Journal:
Evolution More from this journal
Volume:
71
Issue:
11
Pages:
2693–2702
Publication date:
2017-09-08
Acceptance date:
2017-08-29
DOI:
EISSN:
1558-5646
ISSN:
0014-3820
Pmid:
28884795


Language:
English
Keywords:
Pubs id:
pubs:729334
UUID:
uuid:36a2be6e-1502-4a50-8d9a-51f24e205304
Local pid:
pubs:729334
Source identifiers:
729334
Deposit date:
2017-09-23

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