The genotype-to-phenotype map can be quantitatively represented using the G-matrix in evolutionary genetics
The G-matrix functions as a standard quantitative genetic tool for representing the genotype-phenotype map and predicting evolutionary responses across multivariate traits.
The retrieved papers consistently treat the G-matrix (genetic variance-covariance matrix) as the primary quantitative genetic representation of the genotype-phenotype map, used to evaluate evolutionary trajectories and genetic architectures. While some papers discuss limitations or complexities arising from nonlinear mappings, none refute its role as a quantitative representation.
Emma Hine, Mark W Blows. Determining the Effective Dimensionality of the Genetic Variance–Covariance Matrix. 2006. https://doi.org/10.1534/genetics.105.054627
The G-matrix is used to determine the effective dimensionality and genetic variance-covariance of multivariate traits.
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Guilherme Garcia, E. Hingst-Zaher, R. Cerqueira, G. Marroig. Quantitative Genetics and Modularity in Cranial and Mandibular Morphology of Calomys expulsus. 2014. https://doi.org/10.1007/s11692-014-9293-4
Genetic covariance matrices (G-matrices) represent the genetic basis of morphological traits and their relationship to phenotypic variation.
Lisandro Milocco, I. Salazar-Ciudad. Evolution of the G Matrix under Nonlinear Genotype-Phenotype Maps. 2021. https://doi.org/10.1086/717814
The G matrix serves as a statistical summary of the genetic basis of a set of traits within quantitative genetics.
Patrick C Phillips, Katrina L Mcguigan. Evolution of Genetic Variance-Covariance Structure. 2006. https://doi.org/10.1093/oso/9780195168174.003.0020
Multivariate quantitative genetics uses the G matrix as a framework for summarizing features of the genetic system and making evolutionary predictions.
P. Veltsos, J. Kelly. The quantitative genetics of gene expression in Mimulus guttatus. 2023. https://doi.org/10.1101/2023.11.21.568003
Genetic features of quantitative traits determine the G matrix, which dictates how traits evolve under selection.
Francisco Parraguirre, Priscila Chablé, David López, J. Fornoni. Quantitative genetics of developmental stability in flower traits of Solanum rostratum.. 2025. https://doi.org/10.1093/evolut/qpaf115
The additive genetic variance-covariance matrix (G-matrix) is utilized to estimate evolutionary potential and quantitative genetic properties in populations.
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