Literature DB >> 8005425

Luria-Delbrück fluctuation experiments: design and analysis.

M E Jones1, S M Thomas, A Rogers.   

Abstract

Luria and Delbrück, in a seminal paper, introduced fluctuation analysis primarily as a means to elucidate the timing of mutation in relation to the imposition of selective conditions. Their work, and subsequently that of LEA and COULSON, established also a basis for measuring the frequency of mutational events. The several estimators proposed by these authors differ both in complexity and in efficiency, and the published literature relies mainly on the less efficient but computationally trivial estimators. The estimators as originally proposed assume that all mutants occurring in culture will be counted in the subsequent assay, but a relaxation of this assumption suggests an alternative experimental design and alternative estimators which offer advantages over those currently in common use.

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Year:  1994        PMID: 8005425      PMCID: PMC1205875     

Source DB:  PubMed          Journal:  Genetics        ISSN: 0016-6731            Impact factor:   4.562


  7 in total

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

Authors:  S Sarkar; W T Ma; G H Sandri
Journal:  Genetica       Date:  1992       Impact factor: 1.082

2.  Detection of carcinogens as mutagens: bacterial tester strains with R factor plasmids.

Authors:  J McCann; N E Spingarn; J Kobori; B N Ames
Journal:  Proc Natl Acad Sci U S A       Date:  1975-03       Impact factor: 11.205

3.  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

4.  The origin of mutants.

Authors:  J Cairns; J Overbaugh; S Miller
Journal:  Nature       Date:  1988-09-08       Impact factor: 49.962

Review 5.  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

6.  Evaluation of methods for the estimation of mutation rates in cultured mammalian cell populations.

Authors:  I C Li; E H Chu
Journal:  Mutat Res       Date:  1987-04       Impact factor: 2.433

7.  Genetic response of microbes to extreme challenges.

Authors:  A L Koch
Journal:  J Theor Biol       Date:  1993-01-07       Impact factor: 2.691

  7 in total
  24 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

Review 2.  Evolution of drug resistance in Mycobacterium tuberculosis: clinical and molecular perspective.

Authors:  Stephen H Gillespie
Journal:  Antimicrob Agents Chemother       Date:  2002-02       Impact factor: 5.191

3.  Polymorphic mutation frequencies in Escherichia coli: emergence of weak mutators in clinical isolates.

Authors:  María-Rosario Baquero; Annika I Nilsson; María del Carmen Turrientes; Dorthe Sandvang; Juan Carlos Galán; Jose Luís Martínez; Niels Frimodt-Møller; Fernando Baquero; Dan I Andersson
Journal:  J Bacteriol       Date:  2004-08       Impact factor: 3.490

4.  A Bayesian two-level model for fluctuation assay.

Authors:  Qi Zheng
Journal:  Genetica       Date:  2012-03-07       Impact factor: 1.082

5.  In vitro antibacterial activities of JNJ-Q2, a new broad-spectrum fluoroquinolone.

Authors:  Brian J Morrow; Wenping He; Karen M Amsler; Barbara D Foleno; Mark J Macielag; A Simon Lynch; Karen Bush
Journal:  Antimicrob Agents Chemother       Date:  2010-02-22       Impact factor: 5.191

6.  Update on estimation of mutation rates using data from fluctuation experiments.

Authors:  Qi Zheng
Journal:  Genetics       Date:  2005-07-14       Impact factor: 4.562

7.  Methods for determining spontaneous mutation rates.

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

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

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

9.  Mutational analysis of the human mitochondrial genome branches into the realm of bacterial genetics.

Authors:  N Howell
Journal:  Am J Hum Genet       Date:  1996-10       Impact factor: 11.025

10.  Rates and consequences of recombination between rRNA operons.

Authors:  Joel G Hashimoto; Bradley S Stevenson; Thomas M Schmidt
Journal:  J Bacteriol       Date:  2003-02       Impact factor: 3.490

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