Comparative quantitative genetics : evolution of the G matrix
By Scott J. Steppan, P. Phillips, David Houle. 2002
524 citations recorded by the source corpus.
Subfields: Genetics, Paleontology
View Paper: https://www.semanticscholar.org/paper/d1752a425458fe881fdde11b61049ebb4f70e73b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Genetics
- James M. Cheverud
- P. D. Polly
- David Houle
- V. D. Conto
- F. B. Oliveira
- L. T. Shirai
- Arthur Porto
- G. Marroig
In Paleontology
- Thomas F. Hansen
- David Houle
- V. D. Conto
- F. B. Oliveira
- L. T. Shirai
- Arthur Porto
- G. Marroig
- Liam J. Revell
Citations in the corpus
- Unifying and Testing Models of Sexual Selection (2006, background): “Here G is the matrix of genetic variances in and covariances among a set of traits (reviewed in Steppan et al. 2002).”
- The Evolution of Modularity in the Mammalian Skull I: Morphological Integration Patterns and Magnitudes (2009, background): “The relationship between phenotypic and genetic V/CV matrices has been a disputed topic for long (e.g., Cheverud 1988; Willis et al. 1991; Roff 1997; Steppan et al. 2002), particularly because the evolutionary constancy (or proportionality) of the G-matrix, as well as the similarity with its…”
- Behavioral syndromes and the evolution of correlated behavior in zebrafish (2007, background): “In some cases, studying complex behavior such as multimodal communicative displays as examples of behavioral syndromes ensures that we consider also emergent properties that appear only when multiple sensory elements are combined (e.g., Hebets 2005 ).”
- Constraints and reinforcement on adaptation under climate change: Selection of genetically correlated traits (2007, methodology): “While using the breeder’s equation to predict the evolutionary trajectory of populations in a changing environment has the benefit of being simple and analytically tractable (see Lande, 1979; Steppan et al., 2002 ), it has limitations.”
- Testing quantitative genetic hypotheses about the evolutionary rate matrix for continuous characters (2008, background): “There is no simple quantitative genetic model under which these changes to the evolutionary rate matrix are expected, although the empirical literature suggests that such changes do occur (Steppan et al., 2002).”
- The evolution of trade‐offs: where are we? (2007, background): “…abundant evidence that genetic and phenotypic (co)variances do change in some cases but not others (Roff, 2000; Jones et al., 2003; Cano et al., 2004) although whether this is due primarily to drift or selection is generally uncertain (Roff, 2000, 2004; Steppan et al., 2002; Roff & Mousseau, 2005).”
- Interaction between animal personality and animal cognition (2011, methodology): “Fortunately, analytical tools for comparing factor and matrix structures have been developed in both psychology (Church, 2001) and evolutionary biology (Steppan et al., 2002).”
- Evolution in a Community Context: Trait Responses to Multiple Species Interactions* (2018, background): “…linkage disequilibrium or pleiotropy (Falconer and Mackay 1996; Kopp andMatuszewski 2014), although they may be uncoupled via recombination, mutation, or other changes in allele frequencies that cause changes in the G matrix over time (Steppan et al. 2002; Arnold et al. 2008; Wood and Brodie 2015).”
- Sniffing out patterns of sexual dimorphism in floral scent (2009, background): “This is not to say that allometric relationships or their underlying genetic (co)variation can not evolve (Fairbairn 1997; Arnold & Phillips 1999; Steppan, Phillips, & Houle 2002 ), and in fact the presence of divergences in allometry among populations or species can suggest the action of selection”
- Bridging the gap between the genotype and the phenotype: linking genetic variation, selection and adaptation in fishes (2008, background): “Most of our knowledge on how accurate G will be in predicting evolutionary response in natural populations is based on theory, on comparative studies between species and populations (Phillips and Arnold 1999; Steppan et al. 2002) and on artificial selection experiments involving a single pair of qua”
- Research Article Comparing covariance matrices: random skewers method compared to the common principal components model (2007, methodology): “Steppan et al. (2002) have recently reviewed many of these methods.”
- Developmental Dynamics and G-Matrices: Can Morphometric Spaces be Used to Model Phenotypic Evolution? (2008, background): “…underlying genetic, developmental, or environmental factors, though the additive phenotypic effects of those factors are described by G and so influence the direction and magnitude of evolutionary changes predicted by these equations (Maynard Smith et al. 1985; Steppan et al. 2002; Hansen 2006).”
- Measuring and comparing evolvability and constraint in multivariate characters (2008, background): “The result has been a small boom in empirical estimates of G matrices (Steppan et al., 2002) and of selection gradients (Kingsolver et al., 2001; Hereford et al., 2004), although rarely of both in the same systems (for exceptions see, e.g. Blows et al., 2004; Coltman et al., 2005; Foerster et al.,…”