A new mathematical approach predicts individual cell growth behavior using bacterial population information

Kevin R. Anderson, Neil H. Mendelson, Joseph C. Watkins

Research output: Contribution to journalArticle

1 Scopus citations

Abstract

A theoretical methodology has been developed for studying the growth kinetics of bacterial cells. It utilizes the steady-state cell length distribution in a bacterial population to predict the dependency of growth and division rates on cell length and age. The mathematical model has been applied to the analysis of two bacterial populations, a wild-type strain of Bacillus subtilis, and a minicell-producing strain that carries the divIVB1 mutation. The results show that our model describes the wild-type population very well and that the assumptions typically used in traditional methods are unrealistic. In the case of the minicell-producing mutant we find evidence that the rate of cell division must be a function not only of cell size but also of cell age. (C) 2000 Academic Press.

Original languageEnglish (US)
Pages (from-to)87-94
Number of pages8
JournalJournal of Theoretical Biology
Volume202
Issue number1
DOIs
StatePublished - Jan 7 2000

ASJC Scopus subject areas

  • Statistics and Probability
  • Modeling and Simulation
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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