Literature DB >> 18760853

A study on the variability in the growth limits of individual cells and its effect on the behavior of microbial populations.

K Koutsoumanis1.   

Abstract

The NaCl growth limits of individual Salmonella enteritidis cells were studied. Six different levels of the pathogen (from 10(1) to 10(6) cells) were inoculated on tryptic soy agar plates at NaCl concentrations ranging from 0.5 to 8% and pH values of 5.0, 5.5 or 7.3. The NaCl growth limits of individual cells were estimated from the ratio between the number of colonies formed at each NaCl concentration interval and the number of cells initially inoculated, based on the assumption that each colony was derived from a single cell. The results showed that, as the NaCl concentration increased and the pH decreases, the number of cells able to grow and form a colony gradually decreased indicating variability in the growth limits of individual cells. The distribution of single-cell growth limits was used to predict the behavior of microbial populations. The results showed that as the inoculum size increased the NaCl growth limits of S. enteritidis increased and became less variable. Furthermore, at conditions close to the boundary of growth the presence of a non-growing fraction in the population resulted in a delay of population growth, which we called "pseudo-lag". The extent of "pseudo-lag" is determined by the environment while its variability is affected by both the inoculum size and the growth conditions. At growth-limiting conditions the total "apparent lag" of the population is a convolution of the "pseudo-lag" and the "physiological lag" of the growing cells. The data on the variability in the growth limits of single microbial cells presented in this work stress the need for stochastic approaches in quantitative microbiology especially at environments close to the boundary of growth.

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Year:  2008        PMID: 18760853     DOI: 10.1016/j.ijfoodmicro.2008.07.013

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


  12 in total

1.  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

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

3.  Stochastic bacterial population dynamics restrict the establishment of antibiotic resistance from single cells.

Authors:  Helen K Alexander; R Craig MacLean
Journal:  Proc Natl Acad Sci U S A       Date:  2020-07-23       Impact factor: 11.205

4.  Modeling the recovery of heat-treated Bacillus licheniformis Ad978 and Bacillus weihenstephanensis KBAB4 spores at suboptimal temperature and pH using growth limits.

Authors:  C Trunet; N Mtimet; A-G Mathot; F Postollec; I Leguerinel; D Sohier; O Couvert; F Carlin; L Coroller
Journal:  Appl Environ Microbiol       Date:  2014-11-07       Impact factor: 4.792

5.  Combining individual-based modeling and food microenvironment descriptions to predict the growth of Listeria monocytogenes on smear soft cheese.

Authors:  Rachel Ferrier; Bernard Hezard; Adrienne Lintz; Valérie Stahl; Jean-Christophe Augustin
Journal:  Appl Environ Microbiol       Date:  2013-07-19       Impact factor: 4.792

6.  A Diffusion Model to Quantify Membrane Repair Process in Listeria monocytogenes Exposed to High Pressure Processing Based on Fluorescence Microscopy Data.

Authors:  Bahareh Nikparvar; Alicia Subires; Marta Capellas; Manuela Hernandez-Herrero; Peter Crauwels; Christian U Riedel; Nadav Bar
Journal:  Front Microbiol       Date:  2021-05-13       Impact factor: 5.640

7.  Single-Cell Growth Probability of Listeria monocytogenes at Suboptimal Temperature, pH, and Water Activity.

Authors:  Jean-Christophe Augustin; Aurélia Czarnecka-Kwasiborski
Journal:  Front Microbiol       Date:  2012-04-24       Impact factor: 5.640

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

Review 9.  Colonial vs. planktonic type of growth: mathematical modeling of microbial dynamics on surfaces and in liquid, semi-liquid and solid foods.

Authors:  Panagiotis N Skandamis; Sophie Jeanson
Journal:  Front Microbiol       Date:  2015-10-29       Impact factor: 5.640

10.  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

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