Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
Copyright 2004 by the Genetics Society of America DOI: 10.1534/genetics.104.033431
 

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-

  

Source: Abdo, Zaid - Departments of Mathematics & Statistics, University of Idaho
Castellanos, José Miguel Ponciano - Área de Probabilidad y Estadística, Centro de Investigación en Matemáticas (CIMAT)
Forney, Larry J. - Department of Biological Sciences, University of Idaho
Joyce, Paul - Department of Mathematics, University of Idaho

 

Collections: Biology and Medicine; Environmental Sciences and Ecology; Mathematics