Evaluation of methods for the estimation of mutation rates in cultured mammalian cell populations

Abstract

A systematic comparison of 5 different statistical methods for the estimation of mutation rate ([mu]) in cultured Chinese hamster V79 cells is presented. Fluctuation tests were performed with several large batches of parallel cell cultures each allowed to grow for a different length of time in order to reach different population size (Nt). Based on Lea and Coulson's theoretical distribution, a comparison has been made between the experimental data and the expected distribution of the number of ouabain-resistant mutants per culture in these hamster cell populations. The sum of squared deviation between the observed and expected values, or SSD, was used as a means of the adequacy of the estimation method; the method which gives the smallest SSD is regarded as the best one for the estimation of [mu]. Our results show that when Nt is small, the occurrence of mutation is infrequent, and SSDs from different methods are similar. However, when Nt is large, there is a great discrepancy of the SSD values, suggesting a preference of using the maximum likelihood method, the P0 method, the median method, the upper quartile method and the mean method, in that order, for the estimation of [mu]. The order of preference is correlated with estimation efficiencies. Depending on the size of Nt and the method used, the estimated [mu] may vary up to more than 3-fold. At a large Nt, the [mu] obtained from the maximum likelihood method is very precise. This suggests the importance of choosing an appropriate Nt as well as method for the estimation of [mu].