Literature DB >> 15932988

Influence of stress on individual lag time distributions of Listeria monocytogenes.

L Guillier1, P Pardon, J-C Augustin.   

Abstract

The effects of nine common food industry stresses on the times to the turbidity (T(d)) distribution of Listeria monocytogenes were determined. It was established that the main source of the variability of T(d) for stressed cells was the variability of individual lag times. The distributions of T(d) revealed that there was a noticeable difference in response to the stresses encountered by the L. monocytogenes cells. The applied stresses led to significant changes of the shape, the mean, and the variance of the distributions. The variance of T(d) of wells inoculated with single cells issued from a culture in the exponential growth phase was multiplied by at least 6 and up to 355 for wells inoculated with stressed cells. These results suggest stress-induced variability may be important in determining the reliability of predictive microbiological models.

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Year:  2005        PMID: 15932988      PMCID: PMC1151854          DOI: 10.1128/AEM.71.6.2940-2948.2005

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  31 in total

1.  Modelling the effect of sublethal injury on the distribution of the lag times of individual cells of Lactobacillus plantarum.

Authors:  Jan P P M Smelt; Gertjan D Otten; Ad P Bos
Journal:  Int J Food Microbiol       Date:  2002-03       Impact factor: 5.277

Review 2.  Stress and the single cell: intrapopulation diversity is a mechanism to ensure survival upon exposure to stress.

Authors:  Ian R Booth
Journal:  Int J Food Microbiol       Date:  2002-09-15       Impact factor: 5.277

Review 3.  Predictive modelling of the microbial lag phase: a review.

Authors:  I A M Swinnen; K Bernaerts; E J J Dens; A H Geeraerd; J F Van Impe
Journal:  Int J Food Microbiol       Date:  2004-07-15       Impact factor: 5.277

4.  Evaluation of data transformations and validation of a model for the effect of temperature on bacterial growth.

Authors:  M H Zwietering; H G Cuppers; J C de Wit; K van 't Riet
Journal:  Appl Environ Microbiol       Date:  1994-01       Impact factor: 4.792

5.  Effects of above-optimum growth temperature and cell morphology on thermotolerance of Listeria monocytogenes cells suspended in bovine milk.

Authors:  N J Rowan; J G Anderson
Journal:  Appl Environ Microbiol       Date:  1998-06       Impact factor: 4.792

6.  A heterogeneous population model for the analysis of bacterial growth kinetics.

Authors:  R C McKellar
Journal:  Int J Food Microbiol       Date:  1997-05-20       Impact factor: 5.277

Review 7.  Predictive microbiology.

Authors:  T Ross; T A McMeekin
Journal:  Int J Food Microbiol       Date:  1994-11       Impact factor: 5.277

8.  Rapid assessment of cell viability of Lactobacillus delbrueckii subsp. bulgaricus by measurement of intracellular pH in individual cells using fluorescence ratio imaging microscopy.

Authors:  K Björn Rechinger; Henrik Siegumfeldt
Journal:  Int J Food Microbiol       Date:  2002-05-05       Impact factor: 5.277

9.  Mathematical modelling of the growth rate and lag time for Listeria monocytogenes.

Authors:  J C Augustin; V Carlier
Journal:  Int J Food Microbiol       Date:  2000-05-25       Impact factor: 5.277

10.  Real-time measurements of the interaction between single cells of Listeria monocytogenes and nisin on a solid surface.

Authors:  B B Budde; M Jakobsen
Journal:  Appl Environ Microbiol       Date:  2000-08       Impact factor: 4.792

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  29 in total

1.  Automated imaging with ScanLag reveals previously undetectable bacterial growth phenotypes.

Authors:  Irit Levin-Reisman; Orit Gefen; Ofer Fridman; Irine Ronin; David Shwa; Hila Sheftel; Nathalie Q Balaban
Journal:  Nat Methods       Date:  2010-08-01       Impact factor: 28.547

2.  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

3.  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

4.  Quantitative analysis of population heterogeneity of the adaptive salt stress response and growth capacity of Bacillus cereus ATCC 14579.

Authors:  Heidy M W den Besten; Colin J Ingham; Johan E T van Hylckama Vlieg; Marke M Beerthuyzen; Marcel H Zwietering; Tjakko Abee
Journal:  Appl Environ Microbiol       Date:  2007-06-01       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.  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

7.  Influence of stress on single-cell lag time and growth probability for Listeria monocytogenes in half Fraser broth.

Authors:  Claire Dupont; Jean-Christophe Augustin
Journal:  Appl Environ Microbiol       Date:  2009-03-20       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

Review 9.  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

10.  Population heterogeneity of Lactobacillus plantarum WCFS1 microcolonies in response to and recovery from acid stress.

Authors:  Colin J Ingham; Marke Beerthuyzen; Johan van Hylckama Vlieg
Journal:  Appl Environ Microbiol       Date:  2008-10-24       Impact factor: 4.792

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