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Properties of Ethylmethane Sulfonate-Induced Mutations Affecting Life-History Traits in Caenorhabditis elegans and Inferences About Bivariate Distributions of Mutation Effects
Peter D. Keightleya, Esther K. Daviesa, Andrew D. Petersa, and Ruth G. Shawba Institute of Cell, Animal and Population Biology, University of Edinburgh, Edinburgh EH9 3JT, Scotland
b Department of Ecology, Evolution and Behavior, University of Minnesota, St. Paul, Minnesota 55108
Corresponding author: Peter D. Keightley, Institute of Cell, Animal and Population Biology, University of Edinburgh, W. Mains Rd., Edinburgh EH9 3JT, Scotland., p.keightley{at}ed.ac.uk (E-mail)
Communicating editor: T. F. C. MACKAY
20% of the mean). Mutational correlations for life-history traits are strong and positive. Correlations between early or late productivity and longevity are of similar magnitude. We develop a maximum-likelihood procedure to infer bivariate distributions of mutation effects. We show that strong mutation-induced genetic correlations do not necessarily imply strong directional correlations between mutational effects, since correlation is also generated by lines carrying different numbers of mutations.
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