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Luria-Delbrück Fluctuation Experiments; Accounting Simultaneously for Plating Efficiency and Differential Growth Rate
Abstract
Cells growing in culture are subject to mutation, and as mutation is a random event, the number of mutants in a culture will be a random variable. The size of the clone of mutants arising from a single mutational event depends on the timing of the mutation; the earlier the mutation the larger the corresponding clone of mutants. The frequency with which new mutations arise may be estimated from examining the number of mutants found in a number of parallel cultures, each culture arising from a single cell. An efficient estimator of mutation rate in such an experiment is a maximum likelihood estimator. The use of such an estimator presupposes knowledge of the probability distribution for the number of mutants to be detected in a culture, given the mutation rate. In turn this depends on the probability distribution for the size of the clone of detected mutants arising from any single mutation. This latter distribution depends on the relative cell cycle time, tau, of the mutants, and on the probability, s, that a mutant which exists will be detected. This paper develops the required probability distribution.
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“The dynamics of the mutant cells can be modelled by a simple birth-and-death process, as previously suggested [34,41,42,64,65].”
From Efficient, robust, and versatile fluctuation data analysis using MLE MUtation Rate calculator (mlemur) (2023) · cites this paper as [34]
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New algorithms for Luria-Delbruck fluctuation analysis
Zheng, Q. (2005) · Mathematical Biosciences · doi:10.1016/j.mbs.2005.03.011 · Cited by 57
Fluctuation analysis: can estimates be trusted?
Ycart, B. (2013) · PLoS ONE · doi:10.1371/journal.pone.0080958 · Cited by 15
Łazowski, K. (2023) · Mutation Research - Fundamental and Molecular Mechanisms of Mutagenesis · doi:10.1016/j.mrfmmm.2023.111816 · Cited by 9
Metadata
- Authors
- Jones, M. E.
- Affiliations
- Flinders University (AU)
- Corresponding author
- Jones, M.E.
- Venue
- Journal of Theoretical Biology
- Publisher
- Elsevier BV
- Published
- 1994-02
- Volume
- 166
- Issue
- 3
- Pages
- 355-363
- ISSN
- 0022-5193 (ISSN-L)
- OpenAlex
- W2031466604
- Cited by
- 16
- References
- 0
- Citations by year
- 2023: 1 · 2022: 1 · 2018: 2 · 2015: 3 · 2014: 1 · 2013: 1 · 2012: 1
- FWCI
- 0.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Theoretical Biology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Evolution and Genetic Dynamics
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Mathematical Physics › Stochastic processes and statistical mechanics
- Keywords
- Luria-Delbrück fluctuation test, mutation rate estimation, plating efficiency, differential growth rates, cell cycle duration, maximum likelihood estimator, stochastic mutation
- MeSH terms
- Cell Division, Cells, Cultured, Clone Cells, Models, Biological, Mutation, Probability
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