Literature DB >> 15854688

Modelling the variability of lag times and the first generation times of single cells of E. coli.

A Métris1, Y Le Marc, A Elfwing, A Ballagi, J Baranyi.   

Abstract

A mathematical model combining deterministic and stochastic elements describes the growth and division of single cells. Its deterministic part is based on the model of Baranyi and Roberts [International Journal of Food Microbiology 23 (1994) 277] modelling the gradual adjustment of the cells to a new environment. The stochastic part assumes a random threshold size for the division of a single cell, which accounts for the variability of the individual generation times. Experimental results of the first division times of thousands of single cells using a microscopic flow system could be reproduced with this model, and it has the potential to be used to study the effects of different stress and environmental factors on the distribution of the lag and generation times of individual cells.

Entities:  

Mesh:

Year:  2005        PMID: 15854688     DOI: 10.1016/j.ijfoodmicro.2004.10.004

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


  21 in total

1.  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

2.  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

3.  Indirect measurement of the lag time distribution of single cells of Listeria innocua in food.

Authors:  M D'Arrigo; G D García de Fernando; R Velasco de Diego; J A Ordóñez; S M George; C Pin
Journal:  Appl Environ Microbiol       Date:  2006-04       Impact factor: 4.792

4.  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

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.  Cell-to-cell heterogeneity in growth rate and gene expression in Methylobacterium extorquens AM1.

Authors:  Tim J Strovas; Linda M Sauter; Xiaofeng Guo; Mary E Lidstrom
Journal:  J Bacteriol       Date:  2007-07-20       Impact factor: 3.490

7.  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

8.  Modeling the variability of single-cell lag times for Listeria innocua populations after sublethal and lethal heat treatments.

Authors:  A Métris; S M George; B M Mackey; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-09-26       Impact factor: 4.792

9.  Influence of environmental stress on distributions of times to first division in Escherichia coli populations, as determined by digital-image analysis of individual cells.

Authors:  Gordon W Niven; Jennifer S Morton; Tamara Fuks; Bernard M Mackey
Journal:  Appl Environ Microbiol       Date:  2008-04-18       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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