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Evolutionary quantitative genetics of nonlinear developmental systems

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NonLinearQG.pdf (598.0Kb)
Date
27/08/2015
Author
Morrissey, Michael Blair
Keywords
Phenotypic landscape
Development
Quantitative genetics
Epistasis
Extended selection gradients
Stabilising selection
QH301 Biology
BDC
R2C
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Abstract
In quantitative genetics, the effects of developmental relationships among traits on microevolution are generally represented by the contribution of pleiotropy to additive genetic covariances. Pleiotropic additive genetic covariances arise only from the average effects of alleles on multiple traits, and therefore the evolutionary importance of nonlinearities in development is generally neglected in quantitative genetic views on evolution. However, nonlinearities in relationships among traits at the level of whole organisms are undeniably important to biology in general, and therefore critical to understanding evolution. I outline a system for characterizing key quantitative parameters in nonlinear developmental systems, which yields expressions for quantities such as trait means and phenotypic and genetic covariance matrices. I then develop a system for quantitative prediction of evolution in nonlinear developmental systems. I apply the system to generating a new hypothesis for why direct stabilizing selection is rarely observed. Other uses will include separation of purely correlative from direct and indirect causal effects in studying mechanisms of selection, generation of predictions of medium‐term evolutionary trajectories rather than immediate predictions of evolutionary change over single generation time‐steps, and the development of efficient and biologically motivated models for separating additive from epistatic genetic variances and covariances.
Citation
Morrissey , M B 2015 , ' Evolutionary quantitative genetics of nonlinear developmental systems ' , Evolution , vol. 69 , no. 8 , pp. 2050-2066 . https://doi.org/10.1111/evo.12728
Publication
Evolution
Status
Peer reviewed
DOI
https://doi.org/10.1111/evo.12728
ISSN
0014-3820
Type
Journal article
Rights
© 2015, Publisher / the Author(s). This work is made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at onlinelibrary.wiley.com / https://dx.doi.org/10.1111/evo.12728
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  • University of St Andrews Research
URI
http://hdl.handle.net/10023/9296

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