Stabilizing selection and the evolution of genetic variance in multivariate traits in Drosophila serrata
Author(s) -
Jacqueline L. Sztepanacz
Publication year - 2016
Publication title -
queensland's institutional digital repository (the university of queensland)
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.14264/uql.2016.1111
Subject(s) - selection (genetic algorithm) , disruptive selection , replicate , trait , stabilizing selection , biology , genetic architecture , evolutionary biology , multivariate statistics , genetic variation , natural selection , quantitative genetics , directional selection , variance (accounting) , quantitative trait locus , statistics , genetics , mathematics , machine learning , computer science , accounting , gene , business , programming language
Stabilizing selection is important in evolutionary theories of the maintenance of genetic variance, and has been invoked as the key process determining macro-evolutionary patterns of trait evolution. However, manipulative evidence for the extent of stabilizing selection, particularly on multivariate traits is lacking. We used artificial disruptive selection in Drosophila serrata as a tool to determine the relative strength of stabilizing selection experienced by multivariate traits that were known to have contrasting levels of standing genetic and mutational variance, and consequently were predicted to be experiencing different strengths of stabilizing selection. Contrary to expectation, when disruptive selection was applied to the major axis of standing genetic variance, gmax, we observed a significant and repeatable decrease in phenotypic variance. In contrast, the trait combination predicted to be under strong stabilizing selection, showed a significant and repeatable increase in phenotypic variance. Correlated responses were observed in all selection treatments, and viability selection operating on extreme phenotypes of traits genetically correlated with those directly selected upon limited our ability to increase their phenotypic range. Our manipulation revealed that multivariate traits were subject to stabilizing selection; however, we did not observe a direct relationship between the strength of stabilizing selection and the levels of standing genetic variance in multivariate traits. Contrasting patterns of allele frequencies underlying traits with high vs. low levels of standing genetic variance may be implicated in determining the response to artificial selection in multivariate traits. Chapter
2:
Artificial
disruptive
selection
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