ArticleEvolution; international journal of organic evolution2009
Connecting QTLS to the g-matrix of evolutionary quantitative genetics.
Article in Evolution; international journal of organic evolution, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed.
- Bridging developmental and statistical approaches to variation and evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Phenotypic covariation predicts diversification in an adaptive radiation of pupfishes.Ecology and evolution · 2024Article
- The quantitative genetics of gene expression in Mimulus guttatus.PLoS genetics · 2024Article
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- The influence of genetic architecture on responses to selection under drought in rice.Evolutionary applications · 2022Article
- Sex-specific natural selection on SNPs inEvolution letters · 2022Article
- Estimating genetic variance contributed by a quantitative trait locus: A random model approach.PLoS computational biology · 2022Article
- Integrating genomics and multivariate evolutionary quantitative genetics: a case study of constraints on sexual selection inProceedings. Biological sciences · 2021Article
- Evolutionary dynamics models in biometrical genetics supports QTL × environment interactions.Journal of genetics · 2019Review
- Antagonistic selection and pleiotropy constrain the evolution of plant chemical defenses.Evolution; international journal of organic evolution · 2019Article
- Mouse Skull Mean Shape and Shape Robustness Rely on Different Genetic Architectures and Different Loci.Frontiers in genetics · 2019Article
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- Accessibility, constraint, and repetition in adaptive floral evolution.Developmental biology · 2016Review
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- Article
- Article
- Explaining the heritability of an ecologically significant trait in terms of individual quantitative trait loci.Biology letters · 2011Article
- Floral genetic architecture: an examination of QTL architecture underlying floral (co)variation across environments.Genetics · 2010Article
- Contribution of chromosomal polymorphisms to the G-matrix of Mimulus guttatus.The New phytologist · 2009Article
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Abstract
Evolutionary quantitative genetics has recently advanced in two distinct streams. Many biologists address evolutionary questions by estimating phenotypic selection and genetic (co)variances (G matrices). Simultaneously, an increasing number of studies have applied quantitative trait locus (QTL) mapping methods to dissect variation. Both conceptual and practical difficulties have isolated these two foci of quantitative genetics. A conceptual integration follows from the recognition that QTL allele frequencies are the essential variables relating the G-matrix to marker-based mapping experiments. Breeding designs initiated from randomly selected parental genotypes can be used to estimate QTL-specific genetic (co)variances. These statistics appropriately distill allelic variation and provide an explicit population context for QTL mapping estimates. Within this framework, one can parse the G-matrix into a set of mutually exclusive genomic components and ask whether these parts are similar or dissimilar in their respective features, for example the magnitude of phenotypic effects and the extent and nature of pleiotropy. As these features are critical determinants of sustained response to selection, the integration of QTL mapping methods into G-matrix estimation can provide a concrete, genetically based experimental program to investigate the evolutionary potential of natural populations.
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