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Summary: Copyright 2004 by the Genetics Society of America
DOI: 10.1534/genetics.104.033431
Combining Mathematical Models and Statistical Methods to Understand and
Predict the Dynamics of Antibiotic-Sensitive Mutants in a Population of
Resistant Bacteria During Experimental Evolution
Leen De Gelder,* Jose´ M. Ponciano,
Zaid Abdo,
Paul Joyce,
Larry J. Forney* and Eva M. Top*,1
*Department of Biological Sciences, Initiative in Bioinformatics and Evolutionary Studies (IBEST), University of Idaho, Moscow,
Idaho 83844-3051 and
Department of Mathematics, Division of Statistics, Initiative in Bioinformatics and Evolutionary
Studies (IBEST), University of Idaho, Moscow, Idaho 83844-1103
Manuscript received November 5, 2003
Accepted for publication July 28, 2004
ABSTRACT
Temporarily discontinuing the use of antibiotics has been proposed as a means to eliminate resistant
bacteria by allowing sensitive clones to sweep through the population. In this study, we monitored a
tetracycline-sensitive subpopulation that emerged during experimental evolution of E. coli K12 MG1655
carrying the multiresistance plasmid pB10 in the absence of antibiotics. The fraction of tetracycline-
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