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How much can the orientation of G's eigenvectors tell us about genetic constraints?
JournalArticle (Originalarbeit in einer wissenschaftlichen Zeitschrift)
 
ID 1516615
Author(s) Berner, Daniel
Author(s) at UniBasel Salzburger, Walter
Berner, Daniel
Year 2012
Title How much can the orientation of G's eigenvectors tell us about genetic constraints?
Journal Ecology and Evolution
Volume 2
Number 8
Pages / Article-Number 1834-1842
Keywords Genetic architecture, multivariate statistics, pleiotropy, spectral decomposition, trait correlation
Abstract A key goal in evolutionary quantitative genetics is to understand how evolutionary trajectories are constrained by pleiotropic coupling among multiple traits. Because studying pleiotropic constraints directly at the molecular genetic level remains very difficult, several analytical approaches attempt to draw conclusions about constraints by relating the orientation of the eigenvectors of the traits' (co)variance matrix to vectors of multivariate selection. On the basis of explicit models of genetic architecture, I here argue that the value of such approaches is greatly overestimated. The reason is that eigenvector orientation can be highly unstable and lack a biologically meaningful relationship with the underlying traits' genetic architecture. Genetic constraints are more profitably explored through experimental approaches avoiding the mathematical abstraction inherent in eigenanalysis.
Publisher Wiley
ISSN/ISBN 2045-7758
edoc-URL http://edoc.unibas.ch/dok/A6070378
Full Text on edoc Available
Digital Object Identifier DOI 10.1002/ece3.306
PubMed ID http://www.ncbi.nlm.nih.gov/pubmed/22957186
ISI-Number WOS:000312448700006
Document type (ISI) Article
 
   

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