English

Mutant number distribution in an exponentially growing population

Probability 2015-06-23 v1 Statistical Mechanics Populations and Evolution

Abstract

We present an explicit solution to a classic model of cell-population growth introduced by Luria and Delbrueck 70 years ago to study the emergence of mutations in bacterial populations. In this model a wild-type population is assumed to grow exponentially in a deterministic fashion. Proportional to the wild-type population size, mutants arrive randomly and initiate new sub-populations of mutants that grows stochastically according to a supercritical birth and death process. We give an exact expression for the generating function of the total number of mutants at a given wild type population size. We present a simple expression for the probability of finding no mutants, and a recursion formula for the probability of finding a given number of mutants. In the "large population-small mutation"-limit we recover recent results of Kessler and Levin for a fully stochastic version of the process.

Keywords

Cite

@article{arxiv.1410.3307,
  title  = {Mutant number distribution in an exponentially growing population},
  author = {Peter Keller and Tibor Antal},
  journal= {arXiv preprint arXiv:1410.3307},
  year   = {2015}
}

Comments

23 pages, 8 figures

R2 v1 2026-06-22T06:21:33.874Z