Literature DB >> 8159019

Luria-Delbrück fluctuation experiments; accounting simultaneously for plating efficiency and differential growth rate.

M E Jones1.   

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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Mesh:

Year:  1994        PMID: 8159019     DOI: 10.1006/jtbi.1994.1032

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  5 in total

1.  A simple formula for obtaining markedly improved mutation rate estimates.

Authors:  Philip Gerrish
Journal:  Genetics       Date:  2008-10-01       Impact factor: 4.562

2.  Bayesian procedures for the estimation of mutation rates from fluctuation experiments.

Authors:  G Asteris; S Sarkar
Journal:  Genetics       Date:  1996-01       Impact factor: 4.562

3.  Unbiased estimation of mutation rates under fluctuating final counts.

Authors:  Bernard Ycart; Nicolas Veziris
Journal:  PLoS One       Date:  2014-07-02       Impact factor: 3.240

4.  Fluctuation analysis: can estimates be trusted?

Authors:  Bernard Ycart
Journal:  PLoS One       Date:  2013-12-09       Impact factor: 3.240

5.  bz-rates: A Web Tool to Estimate Mutation Rates from Fluctuation Analysis.

Authors:  Alexandre Gillet-Markowska; Guillaume Louvel; Gilles Fischer
Journal:  G3 (Bethesda)       Date:  2015-09-02       Impact factor: 3.154

  5 in total

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