Literature DB >> 11696096

The effect of inoculum size and sublethal injury on the ability of Listeria monocytogenes to initiate growth under suboptimal conditions.

C Pascual1, T P Robinson, M J Ocio, O O Aboaba, B M Mackey.   

Abstract

AIMS: To investigate the effect of inoculum size and physiological state on the ability of Listeria monocytogenes cells to initiate growth under suboptimal conditions of salt concentration and pH. METHODS AND
RESULTS: Cell suspensions were serially diluted in media of different salt concentration or pH and replicate inocula distributed into 96-well microplates. The proportion of wells showing growth at each dilution level was determined after incubation for 6 weeks for each set of conditions. Growth occurred from single cells up to a concentration of 1.2 mol l-1 NaCl; above this threshold, the inoculum size needed to initiate growth became progressively larger. A similar effect was seen with decreasing pH but only very close to the growth/no growth boundary. The threshold for inoculum-dependent growth was lower in exponential phase cells than in stationary phase ones and sublethal injury greatly decreased the probability of growth from small inocula.
CONCLUSIONS: The growth/no growth boundary for L. monocytogenes is not an absolute cut-off point but represents a region where the probability of growth rapidly decreases as conditions become more extreme. We interpret the requirement for a critical inoculum size for growth as being due to death of a proportion of cells in the inoculum rather than to co-operative population effects. SIGNIFICANCE AND IMPACT OF THE STUDY: Physiological heterogeneity within the cell population and inoculum size will affect the risk of L. monocytogenes growing in food.

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Year:  2001        PMID: 11696096     DOI: 10.1046/j.1472-765x.2001.01012.x

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


  16 in total

1.  Inoculum size influences bacterial cross contamination between surfaces.

Authors:  R Montville; D W Schaffner
Journal:  Appl Environ Microbiol       Date:  2003-12       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

3.  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

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.  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

7.  Estimating risk from small inocula by using population growth parameters.

Authors:  P K Malakar; G C Barker
Journal:  Appl Environ Microbiol       Date:  2009-07-31       Impact factor: 4.792

8.  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

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.  Comparison of two optical-density-based methods and a plate count method for estimation of growth parameters of Bacillus cereus.

Authors:  Elisabeth G Biesta-Peters; Martine W Reij; Han Joosten; Leon G M Gorris; Marcel H Zwietering
Journal:  Appl Environ Microbiol       Date:  2010-01-15       Impact factor: 4.792

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