The DOI matches its Crossref record; 94 of the 94 references it cites were found in a registry or an index.
Abundant Genetic Variation + Strong Selection = Multivariate Genetic Constraints: A Geometric View of Adaptation
Abstract
Evolutionary biology has struggled to explain the coexistence of two basic observations: Genetic variation is found in almost all traits in the presence of strong natural and sexual selection in natural populations. These two observations are in direct conflict as such selection should deplete genetic variation. Furthermore, the presence of genetic variation in a trait, and selection acting on that trait, is often not sufficient for the trait to respond to selection. Here, we bring together geometric perspectives on mutation, selection, and genetic variation and show how the perceived incompatibility between these two observations is a consequence of taking a trait-by-trait approach to the multivariate problem of genetic variation and selection. We conclude that the simultaneous presence of widespead genetic variation in, and strong selection on, individual traits indicates that substantial multivariate genetic constraints are likely to be present in natural populations.
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Cites
The genetical theory of natural selection
Fisher, R. A. (1930) · doi:10.5962/bhl.title.27468 · Cited by 17,617
The Neutral Theory of Molecular Evolution
Kimura, M. (1979) · Scientific American · doi:10.1038/scientificamerican1179-98 · Cited by 7,666
The Neutral Theory of Molecular Evolution
Kimura, M. (1983) · Cambridge University Press eBooks · doi:10.1017/cbo9780511623486 · Cited by 6,347
The measurement of selection on correlated characters
Lande, R., & Arnold, S. J. (1983) · Evolution · doi:10.1111/j.1558-5646.1983.tb00236.x · Cited by 5,437
Thompson, D. W. (2019) · Stripped Bare · doi:10.1515/9780691183978-018 · Cited by 4,177
QUANTITATIVE GENETIC ANALYSIS OF MULTIVARIATE EVOLUTION, APPLIED TO BRAIN:BODY SIZE ALLOMETRY
Lande, R. (1979) · Evolution · doi:10.1111/j.1558-5646.1979.tb04694.x · Cited by 2,648
Acquisition and Allocation of Resources: Their Influence on Variation in Life History Tactics
van Noordwijk, A. J., & de Jong, G. (1986) · The American Naturalist · doi:10.1086/284547 · Cited by 2,383
Comparing evolvability and variability of quantitative traits.
Houle, D. (1992) · Genetics · doi:10.1093/genetics/130.1.195 · Cited by 1,977
PERSPECTIVE: COMPLEX ADAPTATIONS AND THE EVOLUTION OF EVOLVABILITY
Wagner, G. P., & Altenberg, L. (1996) · Evolution · doi:10.1111/j.1558-5646.1996.tb02339.x · Cited by 1,914
Thompson, D. W. (1917) · University Press eBooks · doi:10.5962/bhl.title.11332 · Cited by 1,913
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Climate change and evolutionary adaptation
Hoffmann, A. A., & Sgrò, C. M. (2011) · Nature · doi:10.1038/nature09670 · Cited by 3,242
An Expanded View of Complex Traits: From Polygenic to Omnigenic
Boyle, E. A., Li, Y. I., & Pritchard, J. K. (2017) · Cell · doi:10.1016/j.cell.2017.05.038 · Cited by 2,851
Behavioral responses to changing environments
Wong, B. B. M., & Candolin, U. (2015) · Behavioral Ecology · doi:10.1093/beheco/aru183 · Cited by 1,065
Quantifying individual variation in behaviour: mixed‐effect modelling approaches
Dingemanse, N. J., & Dochtermann, N. A. (2013) · Journal of Animal Ecology · doi:10.1111/1365-2656.12013 · Cited by 1,081
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Metadata
- Authors
- Walsh, B., & Blows, M. W.
- Venue
- Annual Review of Ecology, Evolution, and Systematics
- Publisher
- Annual Reviews
- Published
- 2009-12-01
- Volume
- 40
- Issue
- 1
- Pages
- 41-59
- ISSN
- 1543-592X (ISSN-L)
- 1545-2069
- OpenAlex
- W2111960876
- Cited by
- 628
- References
- 94
- FWCI
- 2.22
- Type
- journal article
- Language
- en
- Open access
- closed
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- Walsh, B., & Blows, M. W. (2009). Abundant Genetic Variation + Strong Selection = Multivariate Genetic Constraints: A Geometric View of Adaptation. Annual Review of Ecology, Evolution, and Systematics. https://doi.org/10.1146/annurev.ecolsys.110308.120232
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
