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The Luria-Delbr{\"u}ck experiment is a cornerstone of evolutionary theory, demonstrating the randomness of mutations before selection. The distribution of the number of mutants in this experiment has been the subject of intense…

Biological Physics · Physics 2015-07-20 Bahram Houchmandzadeh

Originally developed to elucidate the mechanisms of natural selection in bacteria, the Luria-Delbr\"uck model assumed that cells are intrinsically capable of dividing an unlimited number of times. This assumption however, is not true for…

Populations and Evolution · Quantitative Biology 2015-11-17 Ignacio A Rodriguez-Brenes , Dominik Wodarz , Natalia L. Komarova

The Luria--Delbr\"uck mutation model is a cornerstone of evolution theory and has been mathematically formulated in a number of ways. In this paper we illustrate how this model of mutation rates can be derived by means of classical…

Populations and Evolution · Quantitative Biology 2022-12-02 Lorenzo Pareschi , Giuseppe Toscani

The Luria-Delbr\"uck distribution is a classical model of mutations in cell kinetics. It is obtained as a limit when the probability of mutation tends to zero and the number of divisions to infinity. It can be interpreted as a compound…

Applications · Statistics 2013-09-11 Agnès Hamon , Bernard Ycart

Microbial populations adapt to their environment by acquiring advantageous mutations, but in the early twentieth century, questions about how these organisms acquire mutations arose. The experiment of Salvador Luria and Max Delbr\"uck that…

Populations and Evolution · Quantitative Biology 2021-06-24 Stephen Montgomery-Smith , Hesam Oveys

The estimation of mutation probabilities and relative fitnesses in fluctuation analysis is based on the unrealistic hypothesis that the single-cell times to division are exponentially distributed. Using the classical Luria-Delbr\"{u}ck…

Quantitative Methods · Quantitative Biology 2014-03-05 Bernard Ycart

The classical Luria-Delbr\"uck model for fluctuation analysis is extended to the case where cells can either divide or die at the end of their generation time. This leads to a family of probability distributions generalizing the…

Populations and Evolution · Quantitative Biology 2013-05-30 Bernard Ycart

One of the most popular models for quantitatively understanding the emergence of drug resistance both in bacterial colonies and in malignant tumors was introduced long ago by Luria and Delbr\"uck. Here, individual resistant mutants emerge…

Populations and Evolution · Quantitative Biology 2014-04-10 David A. Kessler , Herbert Levine

First, we revisit the stochastic Luria-Delbr\"uck model: a classic two-type branching process which describes cell proliferation and mutation. We prove limit theorems and exact results for the mutation times, clone sizes, and number of…

Probability · Mathematics 2018-09-05 David Cheek , Tibor Antal

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…

Probability · Mathematics 2015-06-23 Peter Keller , Tibor Antal

We discuss the evaluation of Luria-Delbrueck fluctuation experiments under Bellman-Harris models of cell proliferation. It is shown that under certain very natural assumptions concerning the life-time distributions and the offspring…

Probability · Mathematics 2007-05-23 Wolfgang P. Angerer

A model is presented relating the evolution of genomic GC content over time to AT$\rightarrow$GC and GC$\rightarrow$AT mutation rates. By employing It\^o calculus it is shown that if mutation rates in asexually reproducing organisms are…

Quantitative Methods · Quantitative Biology 2022-01-11 Jon Bohlin

Biological tools such as genetic lineage tracing, three dimensional confocal microscopy and next generation DNA sequencing are providing new ways to quantify the distribution of clones of normal and mutated cells. Population-wide clone size…

Quantitative Methods · Quantitative Biology 2013-11-25 Roshan A , Jones PH , Greenman CD

This paper calculates probability distributions modeling the Luria-Delbr\"uck experiment. We show that by thinking purely in terms of generating functions, and using a 'backwards in time' paradigm, that formulas describing various…

Populations and Evolution · Quantitative Biology 2016-08-16 Stephen Montgomery-Smith , Anh Le , George Smith , Sidney Billstein , Hesam Oveys , Dylan Pisechko , Austin Yates

Differential expression (DE) plays a fundamental role toward illuminating the molecular mechanisms driving a difference between groups (e.g., due to treatment or disease). While any analysis is run on particular cells/samples, the intent is…

Quantitative Methods · Quantitative Biology 2023-12-12 Miriam Shiffman , Ryan Giordano , Tamara Broderick

Stochastic models of sequential mutation acquisition are widely used to quantify cancer and bacterial evolution. Across manifold scenarios, recurrent research questions are: how many cells are there with $n$ alterations, and how long will…

Populations and Evolution · Quantitative Biology 2023-07-07 Michael D. Nicholson , David Cheek , Tibor Antal

The drift-barrier hypothesis states that random genetic drift constrains the refinement of a phenotype under natural selection. The influence of effective population size and the genome-wide deleterious mutation rate were studied…

Populations and Evolution · Quantitative Biology 2024-07-25 Luis A. La Rocca , Konrad Gerischer , Anton Bovier , Peter M. Krawitz

The evolutionary force of recombination is lacking in asexually reproducing populations. As a consequence, the population can suffer an irreversible accumulation of deleterious mutations, a phenomenon known as Muller's ratchet. We formulate…

Probability · Mathematics 2007-09-19 A. Etheridge , P. Pfaffelhuber , A. Wakolbinger

Under constant selection, each trait has a fixed fitness, and small mutation rates allow populations to efficiently exploit the optimal trait. Therefore it is reasonable to expect mutation rates will evolve downwards. However, we find this…

Populations and Evolution · Quantitative Biology 2022-08-23 Brian Mintz , Feng Fu

We are interested in modelling Darwinian evolution, resulting from the interplay of phenotypic variation and natural selection through ecological interactions. Our models are rooted in the microscopic, stochastic description of a population…

Probability · Mathematics 2016-08-16 Nicolas Champagnat , Régis Ferrière , Sylvie Méléard
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