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Correlational selection in the age of genomics

Svensson, Erik I. LU orcid ; Arnold, Stevan J. ; Bürger, Reinhard ; Csilléry, Katalin ; Draghi, Jeremy ; Henshaw, Jonathan M. ; Jones, Adam G. ; De Lisle, Stephen LU ; Marques, David A. and McGuigan, Katrina , et al. (2021) In Nature Ecology and Evolution 5(5). p.562-573
Abstract

Ecologists and evolutionary biologists are well aware that natural and sexual selection do not operate on traits in isolation, but instead act on combinations of traits. This long-recognized and pervasive phenomenon is known as multivariate selection, or—in the particular case where it favours correlations between interacting traits—correlational selection. Despite broad acknowledgement of correlational selection, the relevant theory has often been overlooked in genomic research. Here, we discuss theory and empirical findings from ecological, quantitative genetic and genomic research, linking key insights from different fields. Correlational selection can operate on both discrete trait combinations and quantitative characters, with... (More)

Ecologists and evolutionary biologists are well aware that natural and sexual selection do not operate on traits in isolation, but instead act on combinations of traits. This long-recognized and pervasive phenomenon is known as multivariate selection, or—in the particular case where it favours correlations between interacting traits—correlational selection. Despite broad acknowledgement of correlational selection, the relevant theory has often been overlooked in genomic research. Here, we discuss theory and empirical findings from ecological, quantitative genetic and genomic research, linking key insights from different fields. Correlational selection can operate on both discrete trait combinations and quantitative characters, with profound implications for genomic architecture, linkage, pleiotropy, evolvability, modularity, phenotypic integration and phenotypic plasticity. We synthesize current knowledge and discuss promising research approaches that will enable us to understand how correlational selection shapes genomic architecture, thereby linking quantitative genetic approaches with emerging genomic methods. We suggest that research on correlational selection has great potential to integrate multiple fields in evolutionary biology, including developmental and functional biology, ecology, quantitative genetics, phenotypic polymorphisms, hybrid zones and speciation processes.

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Contribution to journal
publication status
published
subject
in
Nature Ecology and Evolution
volume
5
issue
5
pages
12 pages
publisher
Nature Publishing Group
external identifiers
  • pmid:33859374
  • scopus:85104755705
ISSN
2397-334X
DOI
10.1038/s41559-021-01413-3
language
English
LU publication?
yes
additional info
Funding Information: We are grateful to D. Goedert for comments on the first draft of this manuscript. E.I.S. and A.R. were funded by grants from the Swedish Research Council (VR; grant numbers 2016-03356 and 2018-04537, respectively). D.A.M. was supported by the Swiss National Science Foundation (grant no. 31003A_163338 to O. Seehausen, L. Excoffier and R. Bruggmann). J.D. acknowledges support by NSF 13-510 Systems & Synthetic Biology, award no. 1714550. J.M.H. is supported by the German Federal Ministry of Education and Research (BMBF). K.C. was supported by a Swiss National Science Foundation grant (CRSK-3_190288). K.M. was funded by the Australian Research Council (DP190101661). M.N.S. was supported by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), projects 2015/19556-4 and 2016/22159-0. We also wish to thank B. Brodie for kindly providing us with the photograph of the garter snakes in Fig. 2a and the original figure of his classic fitness surface in Box 1. Publisher Copyright: © 2021, Springer Nature Limited. Copyright: Copyright 2021 Elsevier B.V., All rights reserved.
id
8aff03ac-131f-490b-9f54-b488dfee2d28
date added to LUP
2021-05-10 12:14:31
date last changed
2024-07-14 14:59:55
@article{8aff03ac-131f-490b-9f54-b488dfee2d28,
  abstract     = {{<p>Ecologists and evolutionary biologists are well aware that natural and sexual selection do not operate on traits in isolation, but instead act on combinations of traits. This long-recognized and pervasive phenomenon is known as multivariate selection, or—in the particular case where it favours correlations between interacting traits—correlational selection. Despite broad acknowledgement of correlational selection, the relevant theory has often been overlooked in genomic research. Here, we discuss theory and empirical findings from ecological, quantitative genetic and genomic research, linking key insights from different fields. Correlational selection can operate on both discrete trait combinations and quantitative characters, with profound implications for genomic architecture, linkage, pleiotropy, evolvability, modularity, phenotypic integration and phenotypic plasticity. We synthesize current knowledge and discuss promising research approaches that will enable us to understand how correlational selection shapes genomic architecture, thereby linking quantitative genetic approaches with emerging genomic methods. We suggest that research on correlational selection has great potential to integrate multiple fields in evolutionary biology, including developmental and functional biology, ecology, quantitative genetics, phenotypic polymorphisms, hybrid zones and speciation processes.</p>}},
  author       = {{Svensson, Erik I. and Arnold, Stevan J. and Bürger, Reinhard and Csilléry, Katalin and Draghi, Jeremy and Henshaw, Jonathan M. and Jones, Adam G. and De Lisle, Stephen and Marques, David A. and McGuigan, Katrina and Simon, Monique N. and Runemark, Anna}},
  issn         = {{2397-334X}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{5}},
  pages        = {{562--573}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Nature Ecology and Evolution}},
  title        = {{Correlational selection in the age of genomics}},
  url          = {{http://dx.doi.org/10.1038/s41559-021-01413-3}},
  doi          = {{10.1038/s41559-021-01413-3}},
  volume       = {{5}},
  year         = {{2021}},
}