Measuring Morphological Integration Using Eigenvalue Variance

By M. Pavličev, James M. Cheverud, Günter P. Wagner. Evolutionary biology, 2009

209 citations recorded by the source corpus.

Subfields: Genetics, Geometry and Topology, Paleontology

View Paper: https://www.semanticscholar.org/paper/d09062e97491e42f4e03b262376c5e1e9e2424c1

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Citations in the corpus

The macroevolutionary consequences of phenotypic integration: from development to deep time (2014, methodology): “, relative standard deviation of eigenvalues [102]), integration (r(2), mean squared correlation coefficient [11]), respondability, evolvability, flexibility and constraint [11] were all quantified for 1000 skewers for each of the 97 datasets.”
Phylogenetic Comparative Methods and the Evolution of Multivariate Phenotypes (2019, background): “For patterns across individuals within species, summary measures such as eigenvalue variance may be used to characterize patterns of global integration (e.g., Pavlicev et al. 2009; for an alternative approach, see Bookstein 2015).”
Cranial integration and modularity: insights into evolution and development from morphometric data (2013, background): “Principal component analysis is also important for the understanding of morphological integration for another reason: an important class of indices of integration are derived from the variance of eigenvalues of a correlation matrix of measurements (Wagner, 1984; Pavlicev et al., 2009; Haber, 2011).”
The pleiotropic structure of the genotype–phenotype map: the evolvability of complex organisms (2011, unknown): “A way to measure the overall integration of the traits, on the basis of their correlations, is to consider the eigenvalue distribution of the correlation matrix, which gives one an overall measure of how strongly the traits are correlate”
Oxidative Stress and Hormesis in Evolutionary Ecology and Physiology (2014, methodology): “The analysis of correlation or covariance matrices of oxidative status measures can be used to quantify the integration of a certain biological system (Pavlicev et al. 2009; Haber 2011; Costantini et al. 2013).”
Heritability is not Evolvability (2011, background): “…(Blows et al. 2004; Mitteroecker and Bookstein 2007, 2009; Wagner et al. 2007; Hansen and Houle 2008; Stinchcombe et al. 2008; Agrawal and Stinchcombe 2009; Gomulkiewicz and Houle 2009; Hallgrimsson et al. 2009; Kirkpatrick 2009; Marroig et al. 2009; Pavlicev et al. 2009; Walsh and Blows 2009).”