Literature DB >> 2118897

The effect of pH, salt concentration and temperature on the survival and growth of Listeria monocytogenes.

M B Cole1, M V Jones, C Holyoak.   

Abstract

Factorially designed experiments have been used to study the growth and survival of Listeria monocytogenes in different combinations of pH and salt concentrations at ambient and chill temperatures. Survival at low pH and high salt concentration was strongly temperature dependent. The minimum pH values that allowed survival after 4 weeks from an initial 10(4) cells were 4.66 at 30 degrees C, 4.36 at 10 degrees C and 4.19 at 5 degrees C. These limits were salt dependent, low (4-6%) salt concentrations improved and higher concentrations reduced survival at limiting pH values. The lowest pH that allowed a 100-fold increase in cell numbers within 60 d was 4.66 at 30 degrees C but this was increased to 4.83 at 10 degrees C. At 5 degrees C growth occurred at pH 7.0 but not at pH 5.13. Simple predictive models describing the effect of hydrogen-ion and salt concentration on the time for at least a 100-fold increase in numbers at 10 degrees C and 30 degrees C were constructed after analysis of the results for a least squares fit to a quadratic model. The interactions between salt and hydrogen-ion concentration on growth were found to be purely additive.

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Year:  1990        PMID: 2118897     DOI: 10.1111/j.1365-2672.1990.tb02912.x

Source DB:  PubMed          Journal:  J Appl Bacteriol        ISSN: 0021-8847


  46 in total

1.  Role of sigma(B) in adaptation of Listeria monocytogenes to growth at low temperature.

Authors:  L A Becker; S N Evans; R W Hutkins; A K Benson
Journal:  J Bacteriol       Date:  2000-12       Impact factor: 3.490

2.  Differential Modulation of Listeria monocytogenes Fitness, In Vitro Virulence, and Transcription of Virulence-Associated Genes in Response to the Presence of Different Microorganisms.

Authors:  Evangelia A Zilelidou; Varvara Milina; Spiros Paramithiotis; Georgia Zoumpopoulou; Sofia V Poimenidou; Eleni Mavrogonatou; Dimitris Kletsas; Konstantinos Papadimitriou; Effie Tsakalidou; Panagiotis N Skandamis
Journal:  Appl Environ Microbiol       Date:  2020-08-18       Impact factor: 4.792

3.  Behaviour of Listeria monocytogenes in anchovies during marination.

Authors:  A Vergara; A Ianieri; G Colavita; A Paparella
Journal:  Vet Res Commun       Date:  2003-09       Impact factor: 2.459

4.  Two subpopulations of Listeria monocytogenes occur at subinhibitory concentrations of leucocin 4010 and nisin.

Authors:  Tina Hornbaek; Per B Brockhoff; Henrik Siegumfeldt; Birgitte Bjørn Budde
Journal:  Appl Environ Microbiol       Date:  2006-02       Impact factor: 4.792

5.  Identification of components of the sigma B regulon in Listeria monocytogenes that contribute to acid and salt tolerance.

Authors:  F Abram; E Starr; K A G Karatzas; K Matlawska-Wasowska; A Boyd; M Wiedmann; K J Boor; D Connally; C P O'Byrne
Journal:  Appl Environ Microbiol       Date:  2008-09-19       Impact factor: 4.792

6.  Rapid, transient, and proportional activation of σ(B) in response to osmotic stress in Listeria monocytogenes.

Authors:  Marta Utratna; Iain Shaw; Emily Starr; Conor P O'Byrne
Journal:  Appl Environ Microbiol       Date:  2011-09-02       Impact factor: 4.792

7.  σ(B) affects biofilm formation under the dual stress conditions imposed by adding salt and low temperature in Listeria monocytogenes.

Authors:  Jin-Ju Lee; Gilho Lee; Ji-Hyun Shin
Journal:  J Microbiol       Date:  2014-10-01       Impact factor: 3.422

8.  Three transporters mediate uptake of glycine betaine and carnitine by Listeria monocytogenes in response to hyperosmotic stress.

Authors:  Apostolos S Angelidis; Gary M Smith
Journal:  Appl Environ Microbiol       Date:  2003-02       Impact factor: 4.792

9.  Functional γ-Aminobutyrate Shunt in Listeria monocytogenes: role in acid tolerance and succinate biosynthesis.

Authors:  Conor Feehily; Conor P O'Byrne; Kimon Andreas G Karatzas
Journal:  Appl Environ Microbiol       Date:  2012-10-12       Impact factor: 4.792

10.  A random effect multiplicative heteroscedastic model for bacterial growth.

Authors:  Ricardo Cao; Mario Francisco-Fernández; Emiliano J Quinto
Journal:  BMC Bioinformatics       Date:  2010-02-08       Impact factor: 3.169

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