Literature DB >> 9735256

Comparison of Stochastic and Deterministic Concepts of Bacterial Lag.

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Abstract

The shortcomings of the traditional deterministic approach to bacterial lag are exposed in this paper. A more precise, stochastic, formulation is put forward which takes account of the variation of the individual cell's lag time. Formulae are given to describe how the lag-distribution of the cells relates to the deterministic population lag commonly used as a practical measure of bacterial lag time.Copyright 1998 Academic Press Limited

Year:  1998        PMID: 9735256     DOI: 10.1006/jtbi.1998.0673

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  32 in total

1.  Significance of inoculum size in the lag time of Listeria monocytogenes.

Authors:  J C Augustin; A Brouillaud-Delattre; L Rosso; V Carlier
Journal:  Appl Environ Microbiol       Date:  2000-04       Impact factor: 4.792

2.  Modeling the lag time of Listeria monocytogenes from viable count enumeration and optical density data.

Authors:  F Baty; J P Flandrois; M L Delignette-Muller
Journal:  Appl Environ Microbiol       Date:  2002-12       Impact factor: 4.792

3.  Development of a structured model for batch cultures of lactic acid bacteria.

Authors:  M A Del Nobile; C Altieri; M R Corbo; M Sinigaglia; E La Notte
Journal:  J Ind Microbiol Biotechnol       Date:  2003-07-09       Impact factor: 3.346

4.  Autonomous growth of isolated single Listeria monocytogenes and Salmonella enterica serovar typhimurium cells in the absence of growth factors and intercellular contact.

Authors:  Barbara Roeder; Martin Wagner; Peter Rossmanith
Journal:  Appl Environ Microbiol       Date:  2010-02-19       Impact factor: 4.792

5.  Heterogeneity of times required for germination and outgrowth from single spores of nonproteolytic Clostridium botulinum.

Authors:  Sandra C Stringer; Martin D Webb; Susan M George; Carmen Pin; Michael W Peck
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

6.  Use of stochastic models to assess the effect of environmental factors on microbial growth.

Authors:  José Miguel Ponciano; Frederik P J Vandecasteele; Thomas F Hess; Larry J Forney; Ronald L Crawford; Paul Joyce
Journal:  Appl Environ Microbiol       Date:  2005-05       Impact factor: 4.792

7.  Use of optical density detection times to assess the effect of acetic acid on single-cell kinetics.

Authors:  A Métris; S M George; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2006-09-01       Impact factor: 4.792

8.  Kinetics of single cells: observation and modeling of a stochastic process.

Authors:  Carmen Pin; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2006-03       Impact factor: 4.792

9.  Single-cell and population lag times as a function of cell age.

Authors:  Carmen Pin; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-02-22       Impact factor: 4.792

Review 10.  Lag Phase Is a Dynamic, Organized, Adaptive, and Evolvable Period That Prepares Bacteria for Cell Division.

Authors:  Robert L Bertrand
Journal:  J Bacteriol       Date:  2019-03-13       Impact factor: 3.490

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