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On fluctuation analysis: a new, simple and efficient method for computing the expected number of mutants

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Abstract

Fluctuation analysis, which is often used to demonstrate random mutagenesis in cell lines (and to estimate mutation rates), is based on the properties of a probability distribution known as the Luria-Delbrück distribution (and its generalizations). The two main new results reported in this paper are (i) a simple, completely general, and computationally efficient procedure for calculating probability distributions arising from fluctuation analysis and (ii) the formula for this procedure when cells in a colony have only grown for a finite number of generations after initial seeding. It is also shown that the procedure reduces to one that was developed earlier when an infinite number of generations is assumed. The derivation of the generating function of the distribution is also clarified. The results obtained should also be useful to experimentalists when only a relatively short time elapses between seeding and harvestint cultures for fluctuation analysis.

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References

  • ArmitageP., 1952. The statistical theory of bacterial populations subject to mutation. J. R. Statist. Soc. B14: 1–40.

    Google Scholar 

  • ArmitageP., 1953. Statistical concepts in the theory of bacterial mutation. J. Hygeine S1: 162–184.

    Google Scholar 

  • BartlettMS., 1978. An Introduction to Stochastic Processes. 3rd ed. Cambridge, Cambridge University Press.

    Google Scholar 

  • HildebrandF. B., 1976. Advanced Calculus for Applications, 2nd ed. Englewood Cliffs, Prentice-Hall.

    Google Scholar 

  • KendalW. S. & FrostP., 1988. Pitfalls and practice of Luria-Delbrück fluctuation analysis: a review. Cancer Research 48: 1060–1065.

    Google Scholar 

  • KochA. L., 1982. Mutation and growth rates from Luria-Delbrück fluctuation tests. Mutat. Res. 95: 129–143.

    Google Scholar 

  • LeaD. E. & CoulsonC. A., 1949. The distribution of the number of mutants in bacterial populations. J. Genetics 49: 264–285.

    Google Scholar 

  • LuriaS.E. & DelbrückM., 1943. Mutations of bacteria from virus sensitivity to virus resistance. Genetics 28: 491–511.

    Google Scholar 

  • Ma, W. T., Sandri, G. v. H. & Sarkar, S., 1992. Analysis of the Luria-Delbrück distribution using discrete convolution powers. Forthcoming in the Journal of Applied Probability.

  • SarkarS., 1991a. Haldane's solution of the Luria-Delbrück distribution. Genetics 127: 257–261.

    Google Scholar 

  • SarkarS., 1991b. Lamarck contre Darwin, reduction versus statistics: conceptual issues in the controversy over directed mutagenesis in bacteria. In TauberA.l. (ed.) Organism and the Origin of Self. Kluwer, Dordrecht, pp. 235–271.

    Google Scholar 

  • StewartF. M., GordonD. M. & LevinB. R., 1990. Fluctuation analysis: the probability distribution of the number of mutants under different conditions. Genetics 124: 175–185.

    Google Scholar 

  • vonBorstelR. C., 1978. Measuring spontaneous mutation rates in yeast. Methods in Cell Biology 20: 1–24.

    Google Scholar 

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Sarkar, S., Ma, W.T. & Sandri, G.v.H. On fluctuation analysis: a new, simple and efficient method for computing the expected number of mutants. Genetica 85, 173–179 (1992). https://doi.org/10.1007/BF00120324

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  • DOI: https://doi.org/10.1007/BF00120324

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