Criticality in the Luria-Delbrück Model with an Arbitrary Mutation Rate

The Luria-Delbrück model is a classic model of population dynamics with random mutations, that has been used historically to prove that random mutations drive evolution. In typical scenarios, the relevant mutation rate is exceedingly small, and mutants are counted only at the final time point. Here, inspired by recent experiments on DNA repair, we study a mathematical model that is formally equivalent to the Luria-Delbrück setup, with the repair rate p playing the role of mutation rate, albeit taking on large values, of order unity per cell division. We find that although at large times the fraction of repaired cells approaches one, the variance of the number of repaired cells undergoes a phase transition: when p>1/2 the variance decreases with time, but, intriguingly, for p<1/2 even though the fraction of repaired cells approaches 1, the variance in the number of repaired cells increases with time. Analyzing DNA-repair experiments, we find that in order to explain the data the model should also take into account the probability of a successful repair process once it is initiated. Taken together, our work shows how the study of variability can lead to surprising phase transitions as well as provide biological insights into the process of DNA repair.

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Publication Details

Journal
Physical Review Letters
Published
2025-01-22
DOI
https://doi.org/10.1103/physrevlett.134.038401
Citations
1
Primary Topic
Evolution and Genetic Dynamics
Type
article
Field-Weighted Citation Impact
1.82

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article

Criticality in the Luria-Delbrück Model with an Arbitrary Mutation Rate

Ariel Amir, Jie Lin, Deng Pan
1 citations
Physical Review Letters
Evolution and Genetic Dynamics
1.82
article

Criticality in the Luria-Delbrück Model with an Arbitrary Mutation Rate

Ariel Amir, Jie Lin, Deng Pan
article en
1 citations

Abstract

The Luria-Delbrück model is a classic model of population dynamics with random mutations, that has been used historically to prove that random mutations drive evolution. In typical scenarios, the relevant mutation rate is exceedingly small, and mutants are counted only at the final time point. Here, inspired by recent experiments on DNA repair, we study a mathematical model that is formally equivalent to the Luria-Delbrück setup, with the repair rate p playing the role of mutation rate, albeit taking on large values, of order unity per cell division. We find that although at large times the fraction of repaired cells approaches one, the variance of the number of repaired cells undergoes a phase transition: when p>1/2 the variance decreases with time, but, intriguingly, for p<1/2 even though the fraction of repaired cells approaches 1, the variance in the number of repaired cells increases with time. Analyzing DNA-repair experiments, we find that in order to explain the data the model should also take into account the probability of a successful repair process once it is initiated. Taken together, our work shows how the study of variability can lead to surprising phase transitions as well as provide biological insights into the process of DNA repair.

Physical Review LettersVol. 134(3)
Peking University (CN), Harvard University Press (US), Weizmann Institute of Science (IL)
National Science Foundation, European Commission, Israel Science Foundation
Openalex Percentile: Top 19%
Evolution and Genetic Dynamics
1.82
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Criticality in the Luria-Delbrück Model with an Arbitrary Mutation Rate — Ariel Amir, Jie Lin, et al. · Physical Review Letters (2025) | TGRS Research Map | TGRS