Literature DB >> 19422474

Inhibition of Listeria monocytogenes by acetate, benzoate and sorbate: weak acid tolerance is not influenced by the glutamate decarboxylase system.

S B Heavin1, O M Brennan, J P Morrissey, C P O'Byrne.   

Abstract

AIMS: Weak acids are widely used by the food industry to prevent spoilage and to inhibit the growth of pathogenic micro-organisms. In this study the inhibitory effects of three commonly used weak acids, acetic acid, benzoic acid and sorbic acid, on the growth of Listeria monocytogenes were investigated. METHODS AND
RESULTS: In a chemically defined medium at pH 6.4 benzoic acid had the greatest inhibitory effect (50% inhibition of growth at 4 mmol l(-1)), while acetate was the least inhibitory (50% inhibition of growth at 50 mmol l(-1)). Mutants lacking either sigma B (Delta sigB) or two of the glutamate decarboxylase systems (Delta gadAB) were used to investigate the contribution these systems make to weak acid tolerance in L. monocytogenes.
CONCLUSIONS: The stress-inducible sigma factor sigma B (sigma(B)) was not required for protection against acetate and played only a minor role in tolerating benzoate and sorbate. The glutamate decarboxylase system, which plays an important role in tolerating inorganic acids, played no significant role in the ability of L. monocytogenes to tolerate these weak acids, and neither did the presence of glutamate in the growth medium. SIGNIFICANCE AND IMPACT OF THE STUDY: These results suggest that the effectiveness of weak acid preservatives in food will not be compromised by the presence of glutamate, at least under mildly acidic conditions.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19422474     DOI: 10.1111/j.1472-765X.2009.02634.x

Source DB:  PubMed          Journal:  Lett Appl Microbiol        ISSN: 0266-8254            Impact factor:   2.858


  7 in total

1.  The transcriptional response of Listeria monocytogenes during adaptation to growth on lactate and diacetate includes synergistic changes that increase fermentative acetoin production.

Authors:  Matthew J Stasiewicz; Martin Wiedmann; Teresa M Bergholz
Journal:  Appl Environ Microbiol       Date:  2011-06-10       Impact factor: 4.792

2.  Transcriptomic and phenotypic responses of Listeria monocytogenes strains possessing different growth efficiencies under acidic conditions.

Authors:  John P Bowman; Kim Jye Lee Chang; Terry Pinfold; Tom Ross
Journal:  Appl Environ Microbiol       Date:  2010-05-28       Impact factor: 4.792

3.  Divergent evolution of the activity and regulation of the glutamate decarboxylase systems in Listeria monocytogenes EGD-e and 10403S: roles in virulence and acid tolerance.

Authors:  Conor Feehily; Aiden Finnerty; Pat G Casey; Colin Hill; Cormac G M Gahan; Conor P O'Byrne; Kimon-Andreas G Karatzas
Journal:  PLoS One       Date:  2014-11-11       Impact factor: 3.240

Review 4.  The Role of Stress and Stress Adaptations in Determining the Fate of the Bacterial Pathogen Listeria monocytogenes in the Food Chain.

Authors:  Kerrie NicAogáin; Conor P O'Byrne
Journal:  Front Microbiol       Date:  2016-11-23       Impact factor: 5.640

Review 5.  Comparative Review of the Responses of Listeria monocytogenes and Escherichia coli to Low pH Stress.

Authors:  Talia Arcari; Marie-Lucie Feger; Duarte N Guerreiro; Jialun Wu; Conor P O'Byrne
Journal:  Genes (Basel)       Date:  2020-11-11       Impact factor: 4.096

6.  Growth and membrane fluidity of food-borne pathogen Listeria monocytogenes in the presence of weak acid preservatives and hydrochloric acid.

Authors:  Ioannis Diakogiannis; Anita Berberi; Eleni Siapi; Angeliki Arkoudi-Vafea; Lydia Giannopoulou; Sofia K Mastronicolis
Journal:  Front Microbiol       Date:  2013-06-14       Impact factor: 5.640

7.  Synergistic Impacts of Organic Acids and pH on Growth of Pseudomonas aeruginosa: A Comparison of Parametric and Bayesian Non-parametric Methods to Model Growth.

Authors:  Francesca M L Bushell; Peter D Tonner; Sara Jabbari; Amy K Schmid; Peter A Lund
Journal:  Front Microbiol       Date:  2019-01-08       Impact factor: 5.640

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.