Literature DB >> 1624139

On fluctuation analysis: a new, simple and efficient method for computing the expected number of mutants.

S Sarkar1, W T Ma, G H Sandri.   

Abstract

Fluctuation analysis, which is often used to demonstrate random mutagenesis in cell lines (and to estimate mutation rates), is based on the properties of a probability distribution known as the Luria-Delbrück distribution (and its generalizations). The two main new results reported in this paper are (i) a simple, completely general, and computationally efficient procedure for calculating probability distributions arising from fluctuation analysis and (ii) the formula for this procedure when cells in a colony have only grown for a finite number of generations after initial seeding. It is also shown that the procedure reduces to one that was developed earlier when an infinite number of generations is assumed. The derivation of the generating function of the distribution is also clarified. The results obtained should also be useful to experimentalists when only a relatively short time elapses between seeding and harvesting cultures for fluctuation analysis.

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Year:  1992        PMID: 1624139     DOI: 10.1007/bf00120324

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


  7 in total

1.  Statistical concepts in the theory of bacterial mutation.

Authors:  P ARMITAGE
Journal:  J Hyg (Lond)       Date:  1953-06

Review 2.  Haldane's solution of the Luria-Delbrück distribution.

Authors:  S Sarkar
Journal:  Genetics       Date:  1991-02       Impact factor: 4.562

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

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

4.  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

5.  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

Review 6.  Pitfalls and practice of Luria-Delbrück fluctuation analysis: a review.

Authors:  W S Kendal; P Frost
Journal:  Cancer Res       Date:  1988-03-01       Impact factor: 12.701

7.  Measuring spontaneous mutation rates in yeast.

Authors:  R C Von Borstel
Journal:  Methods Cell Biol       Date:  1978       Impact factor: 1.441

  7 in total
  92 in total

Review 1.  Determining mutation rates in bacterial populations.

Authors:  W A Rosche; P L Foster
Journal:  Methods       Date:  2000-01       Impact factor: 3.608

2.  RpoS, the stress response sigma factor, plays a dual role in the regulation of Escherichia coli's error-prone DNA polymerase IV.

Authors:  Kimberly A M Storvik; Patricia L Foster
Journal:  J Bacteriol       Date:  2010-05-14       Impact factor: 3.490

3.  The SMC-like protein complex SbcCD enhances DNA polymerase IV-dependent spontaneous mutation in Escherichia coli.

Authors:  Kimberly A M Storvik; Patricia L Foster
Journal:  J Bacteriol       Date:  2010-12-03       Impact factor: 3.490

4.  Determinants of spontaneous mutation in the bacterium Escherichia coli as revealed by whole-genome sequencing.

Authors:  Patricia L Foster; Heewook Lee; Ellen Popodi; Jesse P Townes; Haixu Tang
Journal:  Proc Natl Acad Sci U S A       Date:  2015-10-12       Impact factor: 11.205

5.  Strand-biased cytosine deamination at the replication fork causes cytosine to thymine mutations in Escherichia coli.

Authors:  Ashok S Bhagwat; Weilong Hao; Jesse P Townes; Heewook Lee; Haixu Tang; Patricia L Foster
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-02       Impact factor: 11.205

Review 6.  Evolution of acquired resistance to anti-cancer therapy.

Authors:  Jasmine Foo; Franziska Michor
Journal:  J Theor Biol       Date:  2014-03-25       Impact factor: 2.691

7.  Methods for determining spontaneous mutation rates.

Authors:  Patricia L Foster
Journal:  Methods Enzymol       Date:  2006       Impact factor: 1.600

8.  Identification of a prototypical single-stranded uracil DNA glycosylase from Listeria innocua.

Authors:  Jing Li; Ye Yang; Jose Guevara; Liangjiang Wang; Weiguo Cao
Journal:  DNA Repair (Amst)       Date:  2017-07-08

9.  Accelerated gene evolution through replication-transcription conflicts.

Authors:  Sandip Paul; Samuel Million-Weaver; Sujay Chattopadhyay; Evgeni Sokurenko; Houra Merrikh
Journal:  Nature       Date:  2013-03-28       Impact factor: 49.962

10.  Identification of frame-shift intermediate mutant cells.

Authors:  Christoph Gasche; Christina L Chang; Loki Natarajan; Ajay Goel; Jennifer Rhees; Dennis J Young; Christian N Arnold; C Richard Boland
Journal:  Proc Natl Acad Sci U S A       Date:  2003-02-10       Impact factor: 11.205

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