Literature DB >> 1874441

Fluctuation analysis: the effect of plating efficiency.

F M Stewart1.   

Abstract

This paper supplements an earlier paper which explained how to calculate the probability distribution of the number of mutants that would be observed in a fluctuation test experiment. The formulas in that work give the distributions to be expected under a wide variety of experimental conditions, but the method it uses when only a fraction of the mutants will produce visible colonies are clumsy and inefficient. Here I describe efficient procedures for dealing with that case, provided that the mutation rate per cell division remains constant during the experiment.

Mesh:

Year:  1991        PMID: 1874441     DOI: 10.1007/bf00123984

Source DB:  PubMed          Journal:  Genetica        ISSN: 0016-6707            Impact factor:   1.082


  3 in total

1.  Mutations of Bacteria from Virus Sensitivity to Virus Resistance.

Authors:  S E Luria; M Delbrück
Journal:  Genetics       Date:  1943-11       Impact factor: 4.562

2.  Fluctuation analysis: the probability distribution of the number of mutants under different conditions.

Authors:  F M Stewart; D M Gordon; B R Levin
Journal:  Genetics       Date:  1990-01       Impact factor: 4.562

3.  The distribution of the numbers of mutants in bacterial populations.

Authors:  D E LEA; C A COULSON
Journal:  J Genet       Date:  1949-12       Impact factor: 1.166

  3 in total
  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.  Comparing mutation rates under the Luria-Delbrück protocol.

Authors:  Qi Zheng
Journal:  Genetica       Date:  2016-05-17       Impact factor: 1.082

4.  Estimating the per-base-pair mutation rate in the yeast Saccharomyces cerevisiae.

Authors:  Gregory I Lang; Andrew W Murray
Journal:  Genetics       Date:  2008-01       Impact factor: 4.562

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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