Literature DB >> 21511146

Effect of the growth environment on the strain variability of Salmonella enterica kinetic behavior.

Alexandra Lianou1, Konstantinos P Koutsoumanis.   

Abstract

Intra-species variability of microbial growth kinetic behavior is an event with important implications for food safety research. Aiming at the evaluation of the growth variability among Salmonella enterica strains as affected by the growth environment, the kinetic behavior of 60 isolates of the pathogen was assessed at 37 °C in tryptone soy broth of different pH values (4.3-7.0) and NaCl concentrations (0.5-6.0%). Maximum specific growth rate (μ(max)) values corresponding to each strain and growth condition were estimated by means of absorbance detection times of serially decimally diluted cultures using the automated turbidimetric system Bioscreen C. A total of 9600 optical density curves were generated for the strains and the growth conditions tested. The variability of μ(max) among the S. enterica strains was important and greater than that observed within the strains (i.e. among replicates). Moreover, strain variability increased as the growth conditions became more stressful both in terms of pH and NaCl. The coefficient of variation of μ(max) among the tested strains at pH 7.0-0.5% NaCl was 6.1%, while at pH 4.3-0.5% NaCl and pH 7.0-6.0% NaCl was 11.8% and 23.5%, respectively. Beyond the scientific interest in understanding strain variability, the findings of this study should be useful in strain selection for exploitation in food safety challenge studies as well as in incorporating strain variability in predictive microbiology and microbial risk assessment.
Copyright © 2010 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2010        PMID: 21511146     DOI: 10.1016/j.fm.2010.04.006

Source DB:  PubMed          Journal:  Food Microbiol        ISSN: 0740-0020            Impact factor:   5.516


  13 in total

Review 1.  Quorum sensing in the context of food microbiology.

Authors:  Panagiotis N Skandamis; George-John E Nychas
Journal:  Appl Environ Microbiol       Date:  2012-06-15       Impact factor: 4.792

2.  Stochasticity in colonial growth dynamics of individual bacterial cells.

Authors:  Konstantinos P Koutsoumanis; Alexandra Lianou
Journal:  Appl Environ Microbiol       Date:  2013-01-25       Impact factor: 4.792

Review 3.  Underscoring interstrain variability and the impact of growth conditions on associated antimicrobial susceptibilities in preclinical testing of novel antimicrobial drugs.

Authors:  David A Sanchez; Luis R Martinez
Journal:  Crit Rev Microbiol       Date:  2018-12-06       Impact factor: 7.624

4.  Quantifying Variability in Growth and Thermal Inactivation Kinetics of Lactobacillus plantarum.

Authors:  D C Aryani; H M W den Besten; M H Zwietering
Journal:  Appl Environ Microbiol       Date:  2016-07-29       Impact factor: 4.792

5.  Photobacterium angustum and Photobacterium kishitanii, Psychrotrophic High-Level Histamine-Producing Bacteria Indigenous to Tuna.

Authors:  K Bjornsdottir-Butler; S A McCarthy; P V Dunlap; R A Benner
Journal:  Appl Environ Microbiol       Date:  2016-01-29       Impact factor: 4.792

6.  The Replication-Transmission Relativity Theory for Multiscale Modelling of Infectious Disease Systems.

Authors:  Winston Garira
Journal:  Sci Rep       Date:  2019-11-08       Impact factor: 4.379

7.  Variability in Cell Response of Cronobacter sakazakii after Mild-Heat Treatments and Its Impact on Food Safety.

Authors:  Julio Parra-Flores; Vijay Juneja; Gonzalo Garcia de Fernando; Juan Aguirre
Journal:  Front Microbiol       Date:  2016-04-19       Impact factor: 5.640

8.  Comparison of the Effects of Environmental Parameters on the Growth Variability of Vibrio parahaemolyticus Coupled with Strain Sources and Genotypes Analyses.

Authors:  Bingxuan Liu; Haiquan Liu; Yingjie Pan; Jing Xie; Yong Zhao
Journal:  Front Microbiol       Date:  2016-06-23       Impact factor: 5.640

9.  Comparison on the Growth Variability of Vibrio parahaemolyticus Coupled With Strain Sources and Genotypes Analyses in Simulated Gastric Digestion Fluids.

Authors:  Yangmei Wang; Yong Zhao; Yingjie Pan; Haiquan Liu
Journal:  Front Microbiol       Date:  2020-03-03       Impact factor: 5.640

10.  Flow Cytometry to Assess the Counts and Physiological State of Cronobacter sakazakii Cells after Heat Exposure.

Authors:  Paloma Cal-Sabater; Irma Caro; María J Castro; María J Cao; Javier Mateo; Emiliano J Quinto
Journal:  Foods       Date:  2019-12-16
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.