Medical Journals

On the Lag Phase and Initial Decline of Microbial Growth Curves.

Authors:
  • Yates George T
  • Smotzer Thomas

From: Department of Mathematics and Statistics, Youngstown State University, One University Plaza, Youngstown, OH 44555, USA. gyates@ysu.edu

Journal of theoretical biology

  • Publish Date: Feb 2007
  • ISSN: 0022-5193
  • Volume: 244
  • Issue: 3
  • Pages: 511-7
  • Medium: Print
  • Language: English
  • Citation (JAMA): Yates George T, Smotzer Thomas, et al. On the Lag Phase and Initial Decline of Microbial Growth Curves.. J. Theor. Biol. Feb 2007;244:511-7

Abstract

The lag phase is generally thought to be a period during which the cells adjust to a new environment before the onset of exponential growth. Characterizing the lag phase in microbial growth curves has importance in food sciences, environmental sciences, bioremediation and in understanding basic cellular processes. The goal of this work is to extend the analysis of cell growth curves and to better estimate the duration of the lag phase. A non-autonomous model is presented that includes actively duplicating cells and two subclasses of non-duplicating cells. The growth curves depend on the growth and death rate of these three subpopulations and on the initial proportion of each. A deterministic and a stochastic model are both developed and give the same results. A notable feature of the model is the decline of cells during the early stage of the growth curve, and the range of parameters when this decline occurs is identified. A limited growth model is also presented that accounts for the lag, exponential growth and stationary phase of microbial growth curves.

Mesh Headings (Keywords): Bacteria, Cell Division, Colony Count, Microbial, Food Microbiology, Humans, Models, Biological, Models, Statistical


Check for Full Text / PubMed Unique Identifier (PMID): 17028032


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

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