On measuring selection in experimental evolution.
Distributions of mutation fitness effects from evolution experiments are available in an increasing number of species, opening the way for a vast array of applications in evolutionary biology. However, comparison of estimated distributions among studies is hampered by inconsistencies in the definitions of fitness effects and selection coefficients. In particular, the use of ratios of Malthusian growth rates as 'relative fitnesses' leads to wrong inference of the strength of selection. Scaling Malthusian fitness by the generation time may help overcome this shortcoming, and allow accurate comparison of selection coefficients across species. For species reproducing by binary fission (neglecting cellular death), ln2 can be used as a correction factor, but in general, the growth rate and generation time of the wild-type should be provided in studies reporting distribution of mutation fitness effects. I also discuss how density and frequency dependence of population growth affect selection and its measurement in evolution experiments.
Chevin
Luis-Miguel
LM
Division of Biology, Imperial College London, Ascot SL5 7PY, UK. chevin@imperial.ac.uk
D005075:Biological Evolution; D005838:Genotype; D008954:Models, Biological; D011157:Population Dynamics; D012107:Research Design; D012641:Selection, Genetic
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