Literature DB >> 12745234

The effect of abrupt shifts in temperature on the lag phase duration of Escherichia coli and Klebsiella oxytoca.

L A Mellefont1, T Ross.   

Abstract

The effect of temperature of incubation on lag times of two gram-negative foodborne bacteria was investigated. Bacteria were instantaneously transferred between temperatures within and beyond the normal physiological temperature range (NPTR). Abrupt temperature shifts induced lag phases, but the degree of the response was dependent on the direction and magnitude of the shift. Temperature downshifts induced larger relative lag times (RLT; the ratio of lag time to generation time), than equivalent upshifts. The hypothesis of Robinson et al. [Int. J. Food Microbiol. 44 (1998) 83] that lag time can be understood in terms of the amount of work to be done to adjust to new environmental conditions and the rate at which that work is done was supported. Deviation of the reported proportionality between lag time and generation time was observed when late-exponential phase cells were subjected to abrupt temperature shifts from beyond the normal physiological range.

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Year:  2003        PMID: 12745234     DOI: 10.1016/s0168-1605(02)00378-1

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


  16 in total

1.  Lag phase of Salmonella enterica under osmotic stress conditions.

Authors:  K Zhou; S M George; A Métris; P L Li; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2010-12-30       Impact factor: 4.792

2.  Alternative approach to modeling bacterial lag time, using logistic regression as a function of time, temperature, pH, and sodium chloride concentration.

Authors:  Shige Koseki; Junko Nonaka
Journal:  Appl Environ Microbiol       Date:  2012-06-22       Impact factor: 4.792

Review 3.  Monte Carlo simulation of pathogen behavior during the sprout production process.

Authors:  Rebecca Montville; Donald Schaffner
Journal:  Appl Environ Microbiol       Date:  2005-02       Impact factor: 4.792

4.  Modeling the lag period and exponential growth of Listeria monocytogenes under conditions of fluctuating temperature and water activity values.

Authors:  Marina Muñoz-Cuevas; Pablo S Fernández; Susan George; Carmen Pin
Journal:  Appl Environ Microbiol       Date:  2010-03-05       Impact factor: 4.792

5.  Direct-imaging-based quantification of Bacillus cereus ATCC 14579 population heterogeneity at a low incubation temperature.

Authors:  Heidy M W den Besten; Diego Garcia; Roy Moezelaar; Marcel H Zwietering; Tjakko Abee
Journal:  Appl Environ Microbiol       Date:  2009-12-18       Impact factor: 4.792

6.  Lag phase is a distinct growth phase that prepares bacteria for exponential growth and involves transient metal accumulation.

Authors:  Matthew D Rolfe; Christopher J Rice; Sacha Lucchini; Carmen Pin; Arthur Thompson; Andrew D S Cameron; Mark Alston; Michael F Stringer; Roy P Betts; József Baranyi; Michael W Peck; Jay C D Hinton
Journal:  J Bacteriol       Date:  2011-12-02       Impact factor: 3.490

Review 7.  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

8.  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

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

Authors:  Thea King; Chawalit Kocharunchitt; Kari Gobius; John P Bowman; Tom Ross
Journal:  PLoS One       Date:  2014-06-13       Impact factor: 3.240

10.  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

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