Abundant Genetic Variation + Strong Selection = Multivariate Genetic Constraints: A Geometric View of Adaptation

By B. Walsh, M. Blows. 2009

593 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/956695493b1125fe88465436d713c915e5302a5a

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Citations in the corpus

Quantifying individual variation in behaviour: mixed-effect modelling approaches. (2013, background): “Many of these questions about between- and within-individual differences differ from evolutionary biologists’ focus (e.g. Walsh & Blows 2009) on how genetic (co)variance affects evolution.”
Genetic divergence in forest trees: understanding the consequences of climate change (2014, background): “Evolutionary change may be constrained or accelerated by negative or positive correlation between the target trait and other related traits (Eroukhmanoff 2009; Walsh & Blows 2009), and these correlations may also be modified by climate change.”
Evolution and development of shape: integrating quantitative approaches (2010, background): “These results indicate that genetic constraints on evolution of shape may be widesprea”
An expanded view of complex traits: from polygenic to omnigenic (2017, background): “variation and adaptation (Barton, 1990; Walsh and Blows, 2009), but we believe this area is ripe for further exploration in the light of modern data.”
Ecological and evolutionary responses of Mediterranean plants to global change. (2014, unknown): “Genetic correlations – or covariance – among traits can constrain the adaptive response to selection if two traits that are positively correlated are selected for in opposing directions (Etterson and Shaw, 2001; Walsh and Blows, 2009; Hoffmann and Sgrò, 2011).”
Heritability is not Evolvability (2011, background): “This conclusion may, however, be premature (Hansen and Houle 2004; Blows and Hoffmann 2005; Blows 2007; Blows and Walsh 2009; Kirkpatrick 2009; Walsh and Blows 2009).”
mvmorph: an r package for fitting multivariate evolutionary models to morphometric data (2015, background): “However, phenomic evolution is multivariate by nature, as natural selection operates on functionally related organism’s traits (Walsh 2007; Walsh & Blows 2009), and because traits may covary due to pleiotropic eﬀects, genetic linkages or diﬀerent sources of developmental constraints (Lande & Arnold…”