Literature DB >> 10849278

A comparison of the bioscreen method and microscopy for the determination of lag times of individual cells of listeria monocytogenes.

Y Wu1, M W Griffiths, R C McKellar.   

Abstract

Lag phase durations (tLag) of individual Listeria monocytogenes cells were analysed using the NightOwl Molecular Imaging System, and results were compared with mean individual cell lag times (tL) obtained from the detection time (td) method using Bioscreen. With Bioscreen, an average tL of 6.39+/-0.89 h was obtained from five separate experiments. With the NightOwl method, an average tLag of 2.73+/-0.06 h was obtained from three experiments consisting of eight total replicates. Lag values from the NightOwl and Bioscreen are related by the equation: tLag = tL + DT, where DT is the doubling time. The equivalent tLag mean value for the Bioscreen method was 7.11+/-0.84 h. Individual lag times measured by both methods were normally distributed (r2 for Bioscreen and NightOwl ranged from 0.951 to 0.999 and from 0.884 to 0.982, respectively). The results suggest that the NightOwl method can provide accurate estimates of individual cell lag times, which will facilitate the development of combined discrete continuous models for bacterial growth.

Entities:  

Mesh:

Year:  2000        PMID: 10849278     DOI: 10.1046/j.1472-765x.2000.00748.x

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


  13 in total

Review 1.  Single-cell microbiology: tools, technologies, and applications.

Authors:  Byron F Brehm-Stecher; Eric A Johnson
Journal:  Microbiol Mol Biol Rev       Date:  2004-09       Impact factor: 11.056

2.  Autonomous growth of isolated single Listeria monocytogenes and Salmonella enterica serovar typhimurium cells in the absence of growth factors and intercellular contact.

Authors:  Barbara Roeder; Martin Wagner; Peter Rossmanith
Journal:  Appl Environ Microbiol       Date:  2010-02-19       Impact factor: 4.792

3.  Heterogeneity of times required for germination and outgrowth from single spores of nonproteolytic Clostridium botulinum.

Authors:  Sandra C Stringer; Martin D Webb; Susan M George; Carmen Pin; Michael W Peck
Journal:  Appl Environ Microbiol       Date:  2005-09       Impact factor: 4.792

4.  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

5.  Use of optical density detection times to assess the effect of acetic acid on single-cell kinetics.

Authors:  A Métris; S M George; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2006-09-01       Impact factor: 4.792

6.  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

7.  Single-cell and population lag times as a function of cell age.

Authors:  Carmen Pin; József Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-02-22       Impact factor: 4.792

8.  Estimating single-cell lag times via a Bayesian scheme.

Authors:  P K Malakar; G C Barker
Journal:  Appl Environ Microbiol       Date:  2008-09-19       Impact factor: 4.792

9.  Modeling the variability of single-cell lag times for Listeria innocua populations after sublethal and lethal heat treatments.

Authors:  A Métris; S M George; B M Mackey; J Baranyi
Journal:  Appl Environ Microbiol       Date:  2008-09-26       Impact factor: 4.792

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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.