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Time-Implicit Mutant Population Dynamics: Luria-Delbrück Fluctuation Test Revisited

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Title
Time-Implicit Mutant Population Dynamics: Luria-Delbrück Fluctuation Test Revisited
Other Titles
시간을 내포한 돌연변이 인구동역학: 루리아-델브뤽 실험의 재발견
Author
Kim, Soohyun
Advisor
Ghim, Cheol-Min
Issue Date
2018-02
Publisher
Graduate School of UNIST
Abstract
We applied novel time-implicit dynamical models to reassess the classic Luria-Delbrück Fluctuation Test (LDFT), which has established the spontaneous and random nature of genetic mutations. Despite the profound impact of the study, full quantitative features of the seemingly simple mutational population dynamics are still under active investigation. Particularly, with a recent surge of interest in Bayesian inference, there has been renewed interest in Luria-Delbrück experiment in relation to a potential support for the controversial concept of “adaptive mutation”, by which cells increase the mutation rate corresponding to environmental stresses. Though majority of the detailed analyses showed that the mutations are not intended in any adaptive way but occur without any regard to their potential benefits, there is a possibility that random spontaneous mutation works along with Lamarckian mechanisms as exemplified by the CRISPR-Cas immunity in bacteria. Here we employed an alternative mathematical analysis, where the size of the wild-type population takes in place of time. By eliminating time, first of all, the usual but unjustified assumption of exponential growth could be easily relaxed. Furthermore, our analysis re-discovers all the stochastic versions of the original Luria-Delbrück model, and the resulting statistics could be re-examined on a more quantitative basis, shedding light on the recent calls for the extension of the Modern Synthesis.
Description
Department of Biomedical Engineering
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