Literature DB >> 21193660

Lag phase of Salmonella enterica under osmotic stress conditions.

K Zhou1, S M George, A Métris, P L Li, J Baranyi.   

Abstract

Salmonella enterica serovar Typhimurium was grown at salt concentrations ranging from 0.5 to 7.5% in minimal medium with and without added osmoprotectant and in a rich medium. In minimal medium, the cells showed an initial decline period, and consequently the definition of the lag time of the resultant log count curve was revised. The model of Baranyi and Roberts (Int. J. Food Microbiol. 23:277-294, 1994) was modified to take into account the initial decline period, based on the assumption that the log count curve of the total population was the sum of a dying and a surviving-then-growing subpopulation. The lag time was defined as the lag of the surviving subpopulation. It was modeled by means of a parameter quantifying the biochemical work the surviving cells carry out during this phase, the "work to be done." The logarithms of the maximum specific growth rates as a function of the water activity in the three media differed only by additive constants, which gave a theoretical basis for bias factors characterizing the relationships between different media. Models for the lag and the "work to be done" as a function of the water activity showed similar properties, but in rich medium above 5% salt concentrations, the data showed a maximum for this work. An accurate description of the lag time is important to avoid food wastage, which is an issue of increasing significance in the food industry, while maintaining food safety standards.

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Year:  2010        PMID: 21193660      PMCID: PMC3067304          DOI: 10.1128/AEM.02629-10

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


  22 in total

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4.  Effect of inoculum size on the combined temperature, pH and aw limits for growth of Listeria monocytogenes.

Authors:  Konstantinos P Koutsoumanis; John N Sofos
Journal:  Int J Food Microbiol       Date:  2005-09-25       Impact factor: 5.277

5.  Viable count estimates of lag time responses for Salmonella typhimurium M48 subjected to abrupt osmotic shifts.

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Journal:  Int J Food Microbiol       Date:  2005-08-16       Impact factor: 5.277

6.  Qualitative exposure assessment for Salmonella spp. in shell eggs produced on the island of Ireland.

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8.  Accuracy and sensitivity of commercial PCR-based methods for detection of Salmonella enterica in feed.

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9.  The effect of the growth environment on the lag phase of Listeria monocytogenes.

Authors:  T P Robinson; M J Ocio; A Kaloti; B M Mackey
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10.  Modelling the effects of temperature, water activity, pH and lactic acid concentration on the growth rate of Escherichia coli.

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Review 2.  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

3.  Metabolic shift of Escherichia coli under salt stress in the presence of glycine betaine.

Authors:  A Metris; S M George; F Mulholland; A T Carter; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2014-08       Impact factor: 4.792

4.  Integrated kinetic and probabilistic modeling of the growth potential of bacterial populations.

Authors:  S M George; A Métris; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2015-03-06       Impact factor: 4.792

5.  Machine learning-assisted discovery of growth decision elements by relating bacterial population dynamics to environmental diversity.

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6.  Promoter activity dynamics in the lag phase of Escherichia coli.

Authors:  Daniel Madar; Erez Dekel; Anat Bren; Anat Zimmer; Ziv Porat; Uri Alon
Journal:  BMC Syst Biol       Date:  2013-12-30

7.  Global genome response of Escherichia coli O157∶H7 Sakai during dynamic changes in growth kinetics induced by an abrupt downshift in water activity.

Authors:  Chawalit Kocharunchitt; Thea King; Kari Gobius; John P Bowman; Tom Ross
Journal:  PLoS One       Date:  2014-03-03       Impact factor: 3.240

  7 in total

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