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Genetics, Vol. 161, 1155-1167, July 2002, Copyright © 2002

Environment Dependence of Mutational Parameters for Viability in Drosophila melanogaster

James D. Frya and Stefanie L. Heinsohnb
a Department of Biology, University of Rochester, Rochester, New York 14627-0211
b Department of Genetics, North Carolina State University, Raleigh, North Carolina 27695-7614

Corresponding author: James D. Fry, University of Rochester, Rochester, NY 14627-0211., jfry{at}mail.rochester.edu (E-mail)

Communicating editor: R. G. SHAW

The genomic rate of mildly deleterious mutations (U) figures prominently in much evolutionary and ecological theory. In Drosophila melanogaster, estimates of U have varied widely, from <0.1 to nearly 1 per zygote. The source of this variation is unknown, but could include differences in the conditions used for assaying fitness traits. We examined how assay conditions affect estimates of the rates and effects of viability-depressing mutations in two sets of lines with accumulated spontaneous mutations on the second chromosome. In each set, the among-line variance in egg-to-adult viability was significantly greater when viability was assayed using a high parental density than when it was assayed using a low density. In contrast, the proportional decline in viability due to new mutations did not differ between densities. Two other manipulations, lowering the temperature and adding ethanol to the medium, had no significant effects on either the mean decline or among-line variance. Cross-environment genetic correlations in viability were generally close to one, implying that most mutations reduced viability in all environments. Using data from the low-density, lower-bound estimates of U approached the classic, high values of Mukai and Ohnishi; at the high density, U estimates were similar to recently reported low values. The difference in estimated mutation rates, taken at face value, would imply that many mutations affected fitness at low density but not at high density, but this is shown to be incompatible with the observed high cross-environment correlations. Possible reasons for this discrepancy are discussed. Regardless of the interpretation, the results show that assay conditions can have a large effect on estimates of mutational parameters for fitness traits.





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