Literature DB >> 11934028

Stochastic modelling of bacterial lag phase.

József Baranyi1.   

Abstract

In order to study the lag distribution of the individual cells in a bacterial population, a stochastic birth model is used in this study. An integral formula is applied to transform the assumed lag distribution into a growth function describing the transition between lag and exponential phase of the cell population. By means of this formula, it is pointed out that traditional viable count curves are not suitable to identify the distribution of individual cells' lag time.

Mesh:

Year:  2002        PMID: 11934028     DOI: 10.1016/s0168-1605(01)00650-x

Source DB:  PubMed          Journal:  Int J Food Microbiol        ISSN: 0168-1605            Impact factor:   5.277


  20 in total

1.  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

2.  Observing growth and division of large numbers of individual bacteria by image analysis.

Authors:  A Elfwing; Y LeMarc; J Baranyi; A Ballagi
Journal:  Appl Environ Microbiol       Date:  2004-02       Impact factor: 4.792

3.  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

4.  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

5.  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

6.  Historical and contemporary NaCl concentrations affect the duration and distribution of lag times from individual spores of nonproteolytic clostridium botulinum.

Authors:  Martin D Webb; Carmen Pin; Michael W Peck; Sandra C Stringer
Journal:  Appl Environ Microbiol       Date:  2007-02-02       Impact factor: 4.792

7.  Probabilistic model of microbial cell growth, division, and mortality.

Authors:  Joseph Horowitz; Mark D Normand; Maria G Corradini; Micha Peleg
Journal:  Appl Environ Microbiol       Date:  2009-11-13       Impact factor: 4.792

8.  Wide lag time distributions break a trade-off between reproduction and survival in bacteria.

Authors:  Stefany Moreno-Gámez; Daniel J Kiviet; Clément Vulin; Susan Schlegel; Kim Schlegel; G Sander van Doorn; Martin Ackermann
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-15       Impact factor: 11.205

9.  Stochasticity in colonial growth dynamics of individual bacterial cells.

Authors:  Konstantinos P Koutsoumanis; Alexandra Lianou
Journal:  Appl Environ Microbiol       Date:  2013-01-25       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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