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首页> 外文期刊>Journal of statistical mechanics: Theory and Experiment >Mutant number distribution in an exponentially growing population
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Mutant number distribution in an exponentially growing population

机译:指数增长的人口中的突变数分布

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摘要

We present an explicit solution to a classic model of cell-population growth introduced by Luria and Delbruck (1943 Genetics 28 491-511) 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 grow 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 Levine (2014 J. Stat. Phys. doi: 10.1007/s10955-014-1143-3) for a fully stochastic version of the process.
机译:我们提出了对70年前由Luria和Delbruck(1943 Genetics 28 491-511)引入的经典细胞种群生长模型的显式解决方案,以研究细菌种群中突变的出现。在此模型中,假定野生型种群以确定性方式指数增长。与野生型种群数量成比例,突变体随机到达并引发突变体的新亚群,这些突变体根据超临界的出生和死亡过程随机生长。我们给出了给定野生型种群大小下突变体总数的生成函数的精确表达。我们为找不到突变体的概率提供了一个简单的表达式,并为找到给定数量的突变体的概率提供了一个递归公式。在“大种群-小突变”的限制下,我们恢复了凯斯勒和莱文的最新结果(2014 J. Stat。Phys。doi:10.1007 / s10955-014-1143-3),该过程是完全随机的。

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