Influence of environmental stress on distributions of times to first division in Escherichia coli populations, as determined by digital-image analysis of individual cells

Applied and Environmental Microbiology

Volumn 74, Issue 12, 2008, Pages 3757-3763

  Niven, Gordon W ^a,b   Morton, Jennifer S ^a   Fuks, Tamara ^a   Mackey, Bernard M ^a  

^a UNIVERSITY OF READING   (United Kingdom)

^b DEFENCE SCIENCE AND TECHNOLOGY LABORATORY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGAE; CELL PROLIFERATION; CELLS; DIGITAL ARITHMETIC; ENVIRONMENTAL ENGINEERING; ESCHERICHIA COLI; IMAGE ANALYSIS; IMAGE SEGMENTATION; IMAGING SYSTEMS; IMAGING TECHNIQUES; POLYSACCHARIDES; STANDARDS; STRESSES;

(ABIOTIC AND BIOTIC) STRESS; AGAR MEDIUM; AMERICAN SOCIETY; AREA RATIOS; AUTOMATED ANALYSIS; CELL DIVISIONS; CELL SIZES; COEFFICIENT OF VARIATION (COV); CULTURES (TRADITIONAL); DIGITAL IMAGING; DIVISION TIMES; ENVIRONMENTAL STRESSES; HIGHER CONCENTRATIONS; INDIVIDUAL (PSS 544-7); LIQUID MEDIUMS; OSMOTIC STRESSES; STANDARD DEVIATION (STD);

CELL CULTURE;

AGAR; SODIUM CHLORIDE;

AGAR; BACTERIUM; CYTOLOGY; DIGITAL IMAGE; ENVIRONMENTAL STRESS; SPATIAL DISTRIBUTION;

ARTICLE; AUTOANALYSIS; BACTERIUM CULTURE; CALCULATION; CELL DIVISION; CELL SIZE; DIGITAL IMAGING; ENVIRONMENTAL STRESS; ESCHERICHIA COLI; HEAT STRESS; HEATING; IMAGE ANALYSIS; LIQUID CULTURE; OSMOTIC STRESS;

ANTI-BACTERIAL AGENTS; AUTOMATION; CELL DIVISION; ESCHERICHIA COLI; HEAT STRESS DISORDERS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY; RADIATION; SALINE SOLUTION, HYPERTONIC; TEMPERATURE; TIME FACTORS;

ESCHERICHIA COLI;

EID: 45749146700     PISSN: 00992240     EISSN: None     Source Type: Journal    
DOI: 10.1128/AEM.02551-07     Document Type: Article

References (32)

1. Baranyi, J., and C. Pin. 2001. A parallel study on modelling bacterial growth and survival curves. J. Theor. Biol. 210:327-336.
2. Baranyi, J., and T. A. Roberts. 1994. A dynamic approach to predicting bacterial growth in food. Int. J. Food Microbiol. 23:277-294.
3. Booth, I. R. 2002. Stress and the single cell: intrapopulation diversity is a mechanism to ensure survival upon exposure to stress. Int. J. Food Microbiol. 78:19-30.
4. Brocklehurst, T. F., G. A. Mitchell, and A. C. Smith. 1997. A model experimental gel surface for the growth of bacteria on foods. Food Microbiol. 14:303-311.
5. Elfwing, A., Y. LeMarc, J. Baranyi, and A. Ballagi. 2004. Observing growth and division of large numbers of individual bacteria by image analysis. Appl. Environ. Microbiol. 70:675-678.
6. w) on the individual cell lag phase and generation time. Int. J. Food Microbiol. 108:326-335.
7. Guillier, L., P. Pardon, and J.-C. Augustin. 2005. Influence of stress on individual lag time distributions of Listeria monocytogenes. Appl. Environ. Microbiol. 71:2940-2948.
8. Guillier, L., P. Pardon, and J.-C. Augustin. 2006. Automated image analysis of bacterial colony growth as a tool to study individual lag time distributions of immobilised cells. J. Microbiol. Methods 65:324-334.
9. Guillier, L., and J.-C. Augustin. 2006. Modelling the individual cell lag time and distributions of Listeria monocytogenes as a function of the physiological state and the growth conditions. Int. J. Food Microbiol. 111:241-251.
10. Kelly, G. D., and O. Rahn. 1932. The growth rate of individual bacterial cells. J. Bacteriol. 23:147-153.
11. Kutalik, Z., M. Razaz, A. Elfwing, A. Balagi, and J. Baranyi. 2005. Stochastic modelling of individual cell growth using flow chamber microscopy images. Int. J. Food Microbiol. 105:177-190.
12. Li, Y., J. A. Odumeru, M. Griffiths, and R. C. McKellar. 2006. Effect of environmental stresses on the mean and distribution of individual cell lag times of Escherichia coli O157:H7. Int. J. Food Microbiol. 110:278-285.
13. Mackey, B. M. 2000. Injured bacteria, p. 315-341. In B. M. Lund, A. Baird-Parker, and G. M. Gould (ed.), The microbiological safety and quality of food. Aspen Publishers, Inc., Gaithersburg, MD.
14. McKee, S., and G. W. Gould. 1988. A simple mathematical model of the thermal death of microorganisms. Bull. Math. Biol. 50:493-501.
15. McKellar, R. C., and A. Hawke. 2006. Assessment of distributions for fitting lag times of individual cells in bacterial populations. Int. J. Food Microbiol. 106:169-175.
16. McKellar, R. C., and X. Lu. 2003. Modelling microbial responses in foods. CRC Press, Boca Raton, FL.
17. McMeekin, T. A., J. N. Olley, T. Ross, and D. A. Ratkowsky. 1993. Predictive microbiology. John Wiley & Sons Ltd., Winchester, United Kingdom.
18. Mellefont, L. A., T. A. McMeekin, and T. Ross. 2005. Viable count estimates of lag time responses for Salmonella typhimurium M48 subjected to abrupt osmotic shifts. Int. J. Food Microbiol. 105:399-410.
19. Métris, A., S. M. George, and J. Baranyi. 2006. Use of optical density detection times to assess the effect of acetic acid on single-cell kinetics. Appl. Environ. Microbiol. 72:6674-6679.
20. Métris, A., S. M. George, M. W. Peck, and J. Baranyi. 2003. Distribution of turbidity detection times produced by single cell-generated bacterial populations. J. Microbiol. Methods 55:821-827.
21. Métris, A., Y. Le Marx, A. Elfwing, A. Ballagi, and J. Baranyi. 2005. Modelling the variability of lag times and the first generation times of single cells of E. coli. Int. J. Food Microbiol. 100:13-19.
22. Niven, G. W., T. Fuks, J. S. Morton, S. A. C. G. Rua, and B. M. Mackey. 2005. A novel method for measuring lag times in division of individual bacterial cells using image analysis. J. Microbiol. Methods 65:311-317.
23. Postgate, J. R., J. E. Crumpton, and J. R. Hunter. 1961. Measurement of bacterial viabilities by slide culture. J. Gen. Microbiol. 24:15-24.
24. Powell, E. O. 1956. An improved culture chamber for the study of living bacteria. J. R. Microsc. Soc. 75:235-243.
25. Rasch, M., A. Métris, J. Baranyi, and B. B. Budde. 2007. The effect of reuterin on the lag time of single cells of Listeria innocua grown on a solid agar surface at different pH and NaCl concentrations. Int. J. Food Microbiol. 113:35-40.
26. Robinson, T. P., O. O. Aboaba, A, Kaloti, M. J. Ocio, J. Baranyi, and B. M. Mackey. 2001. The effect of inoculum size on the lag phase of Listeria monocytogenes. Int. J. Food Microbiol. 70:163-173.
27. Robinson, T. P., M. J. Ocio, A. Kaloti, and B. M. Mackey. 1998. The effect of the growth environment on the lag phase of Listeria monocytogenes. Int. J. Food Microbiol. 44:83-92.
28. Ross, T. 1999. Predictive food microbiology models in the meat industry (MSRC 003). Meat and Livestock, Sydney, Australia.
29. Smelt, J. P. P. M., G. D. Otten, and A. P. Bos. 2002. Modelling the effect of sublethal injury on the distribution of the lag times of individual cells of Lactobacillus plantarum. Int. J. Food Microbiol. 73:207-212.
30. Spudich, J. L., and D. E. Koshland. 1976. Non-genetic individuality: chance in the single cell. Nature 262:467-471.
31. Stephens, P. J., J. A. Joynson, K. W. Davies, R. Holbrook, H. M. Lappin-Scott, and T. J. Humphrey. 1997. The use of an automated growth analyser to measure recovery times of single heat-injured Salmonella cells. J. Appl. Microbiol. 83:445-455.
32. Wu, Y., M. W. Griffiths, and R. C. McKellar. 2000. A comparison of the Bioscreen method and microscopy for the determination of lag times of individual cells of Listeria monocytogenes. Lett. Appl. Microbiol. 30:468-472.