Literature DB >> 12571003

Computer simulation of Clostridium botulinum strain 56A behavior at low spore concentrations.

L Zhao1, T J Montville, D W Schaffner.   

Abstract

It is generally assumed that spore behavior is independent of spore concentration, but recently published mathematical models indicate that this is not the case. A Monte Carlo simulation was employed in this study to further examine the independence assumption by evaluating the inherent variance in spore germination data. All simulations were carried out with @Risk software. A total of 500 to 4,000 iterations were needed for each simulation to reach convergence. Lag time and doubling time from a higher inoculum concentration were used to simulate the time to detection (TTD) at a lower inoculum concentration under otherwise identical environmental conditions. The point summaries of the simulated and observed TTDs were recorded for the 26 simulations, with kinetic data at the target inoculum concentration. The ratios of the median (R(m) = median(obs)/median(sim)) and 90% range (R(r) = 90% range(obs)/90% range(sim)) were calculated. Most R(m) and R(r) values were greater than one, indicating that the simulated TTDs were smaller and more homogeneous than the observed ones. R(r) values departed farther from one than R(m) values. Ratios obtained when simulating 1 spore with 10,000 spores deviated the farthest from one. Neither ratio was significantly different from the other when simulating 1 spore with 100 spores or simulating 100 spores with 10,000 spores. When kinetic data were not available, the percent positive observed at the 95th percentile of the simulated TTDs was obtained. These simulation results confirmed that the assumption of independence between spores is not valid.

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Year:  2003        PMID: 12571003      PMCID: PMC143585          DOI: 10.1128/AEM.69.2.845-851.2003

Source DB:  PubMed          Journal:  Appl Environ Microbiol        ISSN: 0099-2240            Impact factor:   4.792


  11 in total

1.  On-line study of growth kinetics of single hyphae of Aspergillus oryzae in a flow-through cell.

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2.  Estimating the frequency of high microbial counts in commercial food products using various distribution functions.

Authors:  M G Corradini; M D Normand; A Nussinovitch; J Horowitz; M Peleg
Journal:  J Food Prot       Date:  2001-05       Impact factor: 2.077

3.  Time-to-detection, percent-growth-positive and maximum growth rate models for Clostridium botulinum 56A at multiple temperatures.

Authors:  L Zhao; T J Montville; D W Schaffner
Journal:  Int J Food Microbiol       Date:  2002-08-25       Impact factor: 5.277

4.  Mathematical model for the control of ColE1 type plasmid replication.

Authors:  M M Ataai; M L Shuler
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5.  Assessment of quantitative models for plasmid ColE1 copy number control.

Authors:  S Merlin; B Polisky
Journal:  J Mol Biol       Date:  1995-04-28       Impact factor: 5.469

6.  A Monte Carlo simulation of the Escherichia coli cell cycle.

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Authors:  S Merlin; B Polisky
Journal:  J Mol Biol       Date:  1993-03-05       Impact factor: 5.469

9.  A Monte Carlo simulation of plasmid replication during the bacterial division cycle.

Authors:  H Kuo; J D Keasling
Journal:  Biotechnol Bioeng       Date:  1996-12-20       Impact factor: 4.530

10.  Regulation of IncFII plasmid DNA replication. A quantitative model for control of plasmid NR1 replication in the bacterial cell division cycle.

Authors:  D D Womble; R H Rownd
Journal:  J Mol Biol       Date:  1986-12-05       Impact factor: 5.469

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  2 in total

1.  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

2.  Strain-Dependent Cheese Spoilage Potential of Clostridium tyrobutyricum.

Authors:  Lucija Podrzaj; Johanna Burtscher; Franziska Küller; Konrad J Domig
Journal:  Microorganisms       Date:  2020-11-22
  2 in total

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