Hostname: page-component-848d4c4894-8bljj Total loading time: 0 Render date: 2024-06-17T03:35:18.953Z Has data issue: false hasContentIssue false

A population birth-and-mutation process, I: explicit distributions for the number of mutants in an old culture of bacteria

Published online by Cambridge University Press:  14 July 2016

Benoit Mandelbrot*
Affiliation:
IBM Thomas J. Watson Research Center, Yorktown Heights, New York

Abstract

Luria and Delbrück (1943) have observed that, in old cultures of bacteria that have mutated at random, the distribution of the number of mutants is extremely long-tailed. In this note, this distribution will be derived (for the first time) exactly and explicitly. The rates of mutation will be allowed to be either positive or infinitesimal, and the rate of growth for mutants will be allowed to be either equal, greater or smaller than for non-mutants. Under the realistic limit condition of a very low mutation rate, the number of mutants is shown to be a stable-Lévy (sometimes called “Pareto Lévy”) random variable, of maximum skewness ß, whose exponent α is essentially the ratio of the growth rates of non-mutants and of mutants. Thus, the probability of the number of mutants exceeding the very large value m is proportional to m–α–1 (a behavior sometimes referred to as “asymptotically Paretian” or “hyperbolic”). The unequal growth rate cases α ≠ 1 are solved for the first time. In the α = 1 case, a result of Lea and Coulson is rederived, interpreted, and generalized. Various paradoxes involving divergent moments that were encountered in earlier approaches are either absent or fully explainable.

The mathematical techniques used being standard, they will not be described in detail, so this note will be primarily a collection of results. However, the justification for deriving them lies in their use in biology, and the mathematically unexperienced biologists may be unfamiliar with the tools used. They may wish for more details of calculations, more explanations and Figures. To satisfy their needs, a report available from the author upon request has been prepared. It will be referred to as Part II.

Type
Research Papers
Copyright
Copyright © Applied Probability Trust 1974 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Armitage, P. (1952) The statistical theory of bacterial populations subject to mutation. J. R. Statist. Soc. B 14, 140.Google Scholar
Armitage, P. (1953) Statistical concepts in the theory of bacterial mutation. J. Hygiene 51, 162184.Google Scholar
Bartlett, M. S. (1966) An Introduction to Stochastic Processes. 2nd. ed. Cambridge University Press.Google Scholar
Darling, D. A. (1952) The influence of the maximum term in the addition of independent random variables. Trans. Amer. Math. Soc. 73, 95107.CrossRefGoogle Scholar
Feller, W. (1966) An Introduction to Probability Theory and Its Applications. Vol. II. Wiley, New York.Google Scholar
Feller, W. (1968) An Introduction to Probability Theory and Its Applications. Vol. I, 3rd. ed. Wiley, New York.Google Scholar
Gnedenko, B. V. and Kolmogoroff, A. N. (1954) Limit Distributions for Sums of Independent Random Variables. (Translated by Chung, K. L.) Addison-Wesley, Reading, Mass. Google Scholar
Kendall, D. G. (1952) Les processus stochastiques de croissance en biologie. Ann. Inst. Poincare 13, 43108.Google Scholar
Lea, D. E. and Coulson, C. A. (1949) The distribution of the number of mutants in bacterial populations. J. Genetics 49, 264285.Google Scholar
Luria, S. E. and Delbrück, M. (1943) Mutations of bacteria from virus sensitivity to virus resistance. Genetics, 28, 491511.CrossRefGoogle ScholarPubMed
Mandelbrot, B. (1960) The Pareto-Lévy law and the distribution of income. Internat. Economic Rev. 1, 79106 and 4 (1963) 111–115.Google Scholar
Mandelbrot, B. and Zarnfaller, F. (1959) Five place tables of certain stable distributions. Research Report RC421, IBM Research Center. (Available from the first named author, as part of a revised reprint of the above 1960 paper.) Google Scholar
Yule, G. U. (1924) A mathematical theory of evolution, based on the conclusions of Dr. J. C. Willis, F. R. S. Philos. Trans. Roy. Soc. London B 213, 2187.Google Scholar