Projects per year
Abstract
Multivariate quantitative genetics provides a powerful framework for understanding patterns and processes of phenotypic evolution. Quantitative genetics parameters, like trait heritability or the G-matrix for sets of traits, can be used to predict evolutionary response or to understand the evolutionary history of a population. These population-level approaches have proven to be extremely successful, but the underlying genetics of multivariate variation and evolutionary change typically remain a black box. Establishing a deeper empirical understanding of how individual genetic effects lead to genetic (co)variation is then crucial to our understanding of the evolutionary process. To delve into this black box, we exploit an experimental population of mice composed from lineages derived by artificial selection. We develop an approach to estimate the multivariate effect of loci and characterize these vectors of effects in terms of their magnitude and alignment with the direction of evolutionary divergence. Using these estimates, we reconstruct the traits in the ancestral populations and quantify how much of the divergence is due to genetic effects. Finally, we also use these vectors to decompose patterns of genetic covariation and examine the relationship between these components and the corresponding distribution of pleiotropic effects. We find that additive effects are much larger than dominance effects and are more closely aligned with the direction of selection and divergence, with larger effects being more aligned than smaller effects. Pleiotropic effects are highly variable but are, on average, modular. These results are consistent with pleiotropy being partly shaped by selection while reflecting underlying developmental constraints.
Original language | English |
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Article number | esz011 |
Pages (from-to) | 479-493 |
Number of pages | 15 |
Journal | Journal of Heredity |
Volume | 110 |
Issue number | 4 |
Early online date | 15 Apr 2019 |
DOIs | |
Publication status | Published - 1 Jun 2019 |
Bibliographical note
© The American Genetic Association 2019. All rights reserved. For permissions, please e-mail: [email protected].Funding
This work was supported by the Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP; 2014/26262-4 and 2015/21811-2 to D.M.; 2011/14295-7 and 2013/50402-8 to G.M.), the U.K. Biotechnology and Biological Sciences Research Council (BBSRC; BB/ L002604/1 and BB/M01035X/1 to J.B.W.), and the University of Bath through the Future Research Leaders Incubator Scheme to D.M.
Keywords
- G-matrix
- genetic architecture
- genome prediction
- genotype-phenotype map
- horseshoe prior
- QTL mapping
ASJC Scopus subject areas
- Biotechnology
- Molecular Biology
- Genetics
- Genetics(clinical)
Fingerprint
Dive into the research topics of 'Genomic Perspective on Multivariate Variation, Pleiotropy, and Evolution'. Together they form a unique fingerprint.Projects
- 2 Finished
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A Genomic Perspective on Social Selection, Natural Selection and Random Genetic Drift
Wolf, J. (PI) & Hurst, L. (CoI)
Biotechnology and Biological Sciences Research Council
1/09/15 → 31/12/18
Project: Research council
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Evolution of Pleiotropy on Warped Developmental Trajectories
Wolf, J. (PI) & Ward, A. (CoI)
Biotechnology and Biological Sciences Research Council
13/01/14 → 12/01/17
Project: Research council