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Applied and Environmental Microbiology, June 2003, p. 3231-3237, Vol. 69, No. 6
0099-2240/03/$08.00+0 DOI: 10.1128/AEM.69.6.3231-3237.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Food Research and Development Centre, Agriculture and Agri-Food Canada, Saint-Hyacinthe, Québec J2S 8E3,1 INRS-Institut Armand Frappier, Laval, Québec H7V 1B7,2 Dairy and Swine Research and Development Centre, Agriculture and Agri-Food Canada, Lennoxville, Québec J1M 1Z3, Canada3
Received 13 September 2002/ Accepted 18 March 2003
| ABSTRACT |
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| INTRODUCTION |
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In practical terms, the extent of bacterial kill (log10 CFU/gram) for a particular organism can be calculated by dividing the process lethality value FTrefz (in minutes) by the decimal reduction time DTref (in minutes), in which Tref is any chosen reference temperature and z is a temperature sensitivity index for the organism concerned with the calculation. Although this quantitative approach (classical thermobacteriology) has been used since the beginning of the 20th century to ensure commercial sterility in the canning industry, it could also be used to evaluate the safety of cooking processes. In fact, however, process lethality values have not yet replaced the much more limited end point temperature concept in monitoring of meat cooking, due in part to the lack of reliable, scientifically measured DTref and z values for pathogens or indicator organisms in the appropriate food matrices. Quantitative assessment of heat treatments, however, is gaining more and more recognition, and some efforts are being made to collect all measured data and to make them available to all scientists and regulators (17).
Classical thermobacteriology also has some limitations. It was elaborated before the discovery of bacterial sensitivity and resistance and/or adaptation to stress, in particular heat stress. In several species, prior exposure to a sublethal heat treatment was shown to increase bacterial resistance to a subsequent and severer treatment (3, 11, 12, 14), and this knowledge challenges the predictions of classical bacteriology during heating at low-to-moderate temperatures (50 to 65°C).
The heat shock response is particularly well documented in Escherichia coli. Until now, over 30 proteins associated with the physiological response to heat have been identified, including GroES, GroEL, and DnaK chaperone proteins involved in the folding, repair, and degradation of proteins. Expression of the heat shock genes is under the control of an alternative sigma factor,
32 (RpoH) [22]). The rpoH mRNA is already present in the cell under optimal growth temperature, but its secondary structure prevents translation. Upon heat stress, the transcript loses its secondary structure and the translation start site becomes available for the translation machinery. Cells can therefore react rapidly to heat stress (23). A second transcription factor,
24, is also involved in the heat shock response when the temperature reaches 50°C. This transcription factor is the product of the rpoE gene, which recognizes one of the four promoters of the rpoH gene (
32) at high temperatures, whereas the other promoters are virtually inactive (23). At high temperatures,
24 promotes rpoH transcription and synthesis of heat shock proteins (HSP) is maintained.
DnaK plays an important role in the regulation of the heat shock response, because its association with
32 at optimal growth temperature prevents the formation of the RNA polymerase-
32 complex (5, 7). Hence, HSP expression is determined by a homeostatic balance between DnaK bound to denatured proteins and DnaK interacting with
32 (1, 5, 6). Because DnaK binds preferentially with denatured proteins upon heat stress,
32 is free to bind to the RNA polymerase core protein. The specific transcription of heat shock genes begins, which in turn increases the concentration of HSP, including DnaK. When cells return to an optimal growth temperature, the concentration of denatured proteins decreases and free DnaK interacts with
32, thereby stopping the transcription of HSP genes (9, 20). During exponential growth, DnaK represents 1% of the total proteins (6), while it may increase up to 13% when cells are grown at 30°C and then exposed to 42°C (8).
Considering the key role of DnaK in the heat shock response and the modulation of its concentration upon heat stress, a competitive enzyme-linked immunosorbent assay (ELISA) was developed to measure intracellular concentrations of DnaK in E. coli. The consequences of DnaK production on the survival of the organism after observation of various sets of heating conditions and adaptation and/or recuperation scenarios were evaluated.
(Part of this work was presented at a poster session of the 100th general meeting of the American Society for Microbiology, Los Angeles, Calif., 21 to 25 May 2000.)
| MATERIALS AND METHODS |
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Determination of intracellular DnaK by competitive ELISA.
Cells from a 200-ml culture were collected by centrifugation (13,000 x g, 15 min). The pellet was washed and was resuspended in 50 ml of 0.1 M NaHPO4 buffer at pH 7.0. Sonication (Sonic Dismembrator model 300; Artek Systems Corp., Farmingdale, N.Y.) was performed at a frequency of 16.8 kilocycles/s for a total of 30 min. One minute of sonication was alternated with 1 min of rest on ice in order to prevent protein denaturation. The sonicated suspension was centrifuged (13,000 x g, 15 min), and the DnaK concentration was determined immediately by a competitive ELISA as previously described (4). Briefly, the microplates (Plate MaxiSorp surfaces; Nunc-Immuno, Roskilde, Denmark) used for the ELISA were coated with 100 µl of purified DnaK (0.25 µg/ml; StressGen Biotechnologies Corp., Victoria, British Columbia, Canada) per well. Stock DnaK solution for well coating (1 mg/ml) was prepared in 0.1 M NaHCO3 at pH 9.6. The microplate contents were incubated at 4°C overnight. They were then washed four times with a phosphate-buffered saline (PBS) supplemented with 0.05% Tween 20. A PBS-1% bovine serum albumin solution (PBS-BSA; 200 µl per well) was used as a blocking agent. Plate contents were incubated for 1 h at room temperature (22°C) and were then washed four times with the PBS-0.05% Tween solution. For the competition step, a mouse anti-DnaK monoclonal antibody (1 mg/ml; StressGen Biotechnologies Corp.) was diluted to 1:10,000 in PBS-1% BSA-0.05% Tween 20. A volume of 150 µl of anti-DnaK and 150 µl of the test sample were mixed in a microtube, which was agitated for 1 h at room temperature (22°C) before addition of 100 µl to the coated wells. The plate contents were then incubated for 2 h at 37°C and were washed four times with PBS-0.05% Tween 20 solution. One hundred microliter of sheep antimouse immunoglobulin G-peroxidase conjugate (5 mg/ml; Medicorp Inc., Montréal, Québec, Canada) per well was used as a secondary antibody probe (1:50,000 dilution in PBS-1% BSA-0.05% Tween 20). The plate contents were then incubated at 37°C for 90 min and were washed four times with PBS-0.05% Tween solution. The substrate, tetramethylbenzene (Medicorp Inc.), was added for colorimetric reaction. Absorbance at 370 nm was recorded with a microplate reader (PowerWaveX; Bio-Tek Instruments, Inc., Winooski, Vt.) according to the manufacturer's specifications. The standard curve was performed with purified DnaK diluted in a PBS-1% BSA-0.05% Tween 20 solution (detection limit, 1,500 molecules/cell).
The accuracy of the competitive ELISA was evaluated by comparing results obtained with values reported in the literature for specific conditions. A 1% overnight culture of E. coli was used to inoculate an Erlenmeyer flask (500 ml) containing 200 ml of BHI broth. Flask contents were incubated at 30, 37, or 42°C. Upon reaching the exponential growth phase (optical density at 600 nm [OD600] = 0.5;
8 log10 CFU/ml), the cells were immediately collected and the intracellular concentration of DnaK was determined as described above.
Heat treatment.
Cell exposure to the various heat treatments was performed by immersion of an exponentially growing culture (200 ml in BHI broth at 37°C; OD600 = 0.5) in a shaking water bath. After treatment, the cell suspension was shaken and cooled in an ice water bath until the temperature dropped to 37°C. The temperature was recorded through time by using a scanning thermocouple (Model 92 8000-10; Digi-Sense, Barnant Co., Barrington, Ill.).
Process lethality values (FTrefz [in minutes]) were calculated as
dt, in which t is the time (in minutes), Tt is the temperature at time t (in degrees Celsius), Tref is a selected reference temperature (in degrees Celsius), and z is the thermal sensitivity value (in degrees Celsius) of the selected reference organism. The temperature of 70°C was chosen as reference because it represents, for most meat products, the core temperature that must be reached at the end of cooking in order to meet North American food safety regulations. Also, Enterococcus faecalis was selected as the reference organism because of its documented higher thermal resistance, with a thermal sensitivity value (z) of 10°C, when heated in cured meats (16). The process lethality values corresponding to the investigated heating cycles were reported as F7010 (Table 1).
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Bacterial enumeration.
Cell enumeration was performed by plating serial dilutions (1:10) onto BHI agar. Plate contents were incubated at 37°C for 24 h, unless otherwise specified. Cell enumeration by fluorescence microscopy was carried out by using the LIVE/DEAD BacLight kit (Molecular Probes, Inc., Eugene, Oreg.) according to the manufacturer's specifications.
Determination of total proteins.
To determine the protein concentration, a 500-µl aliquot of the sonicated cell suspension was centrifuged (13,000 x g, 15 min). The protein quantification was carried out on the supernatant with the bicinchoninic acid protein assay kit (Pierce, Rockford, Ill.) according to the manufacturer's specifications. Absorbance was read at 570 nm with a spectrophotometer (Lambda Reader; Perkin-Elmer, Wilton, Conn.).
Statistical analysis.
The effects of temperature and process lethality value on intracellular DnaK concentration and cell counts were tested with a two-way analysis of variance by using the General Linear Model (GLM) procedure of the SAS system, version 8.02 (19). When the interaction term was significant (P < 0.05), the main effect of a factor was tested by using a one-way analysis of variance performed for each level of the other factor. The identification of significant differences between levels of a factor was obtained by the Duncan multiple-comparison test. For all response variables, analysis was done in duplicates and the experiments were repeated three times.
| RESULTS |
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The statistical analysis revealed a significant interaction between the effects of temperature and process lethality values on the intracellular concentration of DnaK (P = 0.0026) (Fig. 1A) and on the counts of surviving cells (P = 0.0002) (Fig. 1B). This indicates that, in the range of temperatures studied (50 to 55°C), the effects of the process on bacteria were not only dependent on the process intensity, as expressed by the classical process lethality value (F7010), but were also influenced by temperature. Whereas intracellular DnaK was not detected in strain ATCC 25922 after treatments at 60 and 70°C, yielding F7010 values of 5 min (data not shown), higher DnaK concentrations were detected after less severe treatments (F7010 = 0.5 min) at 50 and 55°C (Fig. 1A). Under these conditions, DnaK contents were found to be about two times (81,968 ± 6,347 molecules/cell at 50°C) and three times (105,131 ± 38,733 molecules/cell at 55°C) higher than the value of 38,500 ± 6,056 molecules/cell measured in cells grown at 37°C. Intracellular DnaK contents remained high (155,773 ± 64,976 to 217,445 ± 59,010 molecules/cell) when further heating at 50°C was carried out (up to an F7010 of 5 min), and no significant cell inactivation was observed (7.15 to 7.96 log10 CFU/ml) (Fig. 1B). DnaK concentrations obtained for treatments at 50°C were relatively similar (P = 0.063). Although P (P = 0.063) was higher than 0.05, the Duncan multiple-comparison test was performed to identify potential differences between two pasteurization values. The only significant difference detected was between the process lethality values of 0.5 (81,968 ± 6,347 molecules/cell) and 1 (217,445 ± 59,010 molecules/cell) min.
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Overall, the intracellular DnaK concentration in E. coli strain ATCC 25922 was highly correlated (P < 0.0001) to the number of surviving cells, but the relationship was only poorly described (R2 = 0.6881) by a linear regression (Fig. 2). Furthermore, for a given process lethality value, DnaK concentrations and surviving-cell counts obtained at 50°C were significantly higher (P
0.05) than were the concentrations and counts obtained at 55°C, except at F7010 of 0.5, where they were essentially the same (Fig. 1A).
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Immediately following heat treatment at F7010 = 3 min, where the DnaK concentration was 12,347 ± 2,363 DnaK molecules/cell, the number of surviving cells was lower than the plating technique detection level (0.7 log10 CFU/ml), although 79 viable cells out of 1,000 cells (about 8%) were detected with the LIVE/DEAD BacLight differential coloration kit (Table 3). After further incubation at 37°C, a substantial growth was observed, yielding 4.57 and 8.29 log10 CFU/ml after 12 and 24 h, respectively, as evinced by a strong increase in the proportion of live versus dead cells. Concurrently, DnaK contents increased to levels that were much higher (56,443 to 76,786 molecules/cell) than the level normally found in cells grown at 37°C (38,500 molecules/cell). In contrast, no surviving cells and no residual DnaK were found in cultures exposed to a treatment of F7010 = 5 min, whether determination was made immediately following the treatment or after incubation at 37°C for 12 or 24 h (Table 3). Furthermore, no viable cells were detected by fluorescence microscopy after 7 days of incubation at 37°C (data not shown), suggesting that the presence of DnaK was instrumental to post-heating cell recovery.
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| DISCUSSION |
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Efficacy of heat treatments to control E. coli ATCC 25922.
The presence of DnaK in E. coli ATCC 25922 heated at 50 and 55°C suggests that cells can still react and adapt in order to carry out protein synthesis and metabolic activities. Indeed, intracellular DnaK concentrations for all treatments performed at 50°C and for treatment at 55°C with a process lethality value of 0.5 min were higher than the concentration found in cells grown at 37°C (Fig. 1A). As described by Herendeen et al. (8), coordination of metabolic functions for growth at 23 to 37°C is modulated by the specific activity of enzymes rather than their amount. Outside this range, growth is restricted and the concentrations of several proteins will vary accordingly. Proteins generally involved in transcription and translation are found at reduced levels under restrictive growth conditions (8). Those proteins involved in the repair and elimination of denatured proteins, for example, are at higher concentrations (1). According to Neidhardt et al. (14), an almost exclusive synthesis of proteins associated with the heat shock response occurred at 50°C or higher until protein synthesis was compromised. At that point, cells could no longer produce HSP to ensure their survival and cell death occurred. Under the conditions used, treatments at a temperature equal to or higher than 60°C seemed sufficient to control E. coli ATCC 25922, as no cells or DnaK was detected.
The presence of HSP has a profound effect on monitoring cooking. According to classical thermobacteriology (i.e., based on the thermal death time concept of Bigelow and Esty [2]), the bactericidal effect of different heat treatments is similar when the process lethality values (FTrefz) are identical, independent of temperatures reached during the treatment. Computation of the lethality value generally starts at 50 to 55°C, because no significant bactericidal effect is expected below these temperatures. The contribution of the time spent at a heating temperature of 50 to 55°C to the overall killing effect evaluated by the process lethality value is negligible in a typical industrial meat process cooking operation, such as in a smokehouse (70°C end point temperature). The situation is different, however, when product safety or bacterial stability is based on a combination of mild heating with other processing or storage hurdles (minimally processed foods) or in prolonged, low-temperature "sous vide" cooking. The product may then stay at temperatures below 60°C for extended periods, and the contribution of heating at low temperatures to the overall killing effect may be significant. In this context, the findings reported here (i.e., that cell survival and intracellular DnaK concentrations were higher when bacteria were heated at 50°C than at 55°C, even when process lethality values were identical) suggest that the use of classical thermobacteriology and the computation of process lethality values are only meaningful in ranges of temperatures above the cell adaptation zone.
Because the correlation between intracellular DnaK concentration and cell counts is weakly linear, one parameter cannot be used directly to predict the level of the other without a more sophisticated mathematical model. However, the presence of DnaK was an indication that some cells were still viable and were able to recover under optimum growth conditions, as demonstrated in the recovery experiment (Table 3). Furthermore, the absence of growth on agar or by differential staining, after a recovery period of 24 h or more under optimum growth conditions, corresponded with the absence of DnaK after treatment. Hence, with use of cell enumeration on agar plates alone, the efficacy of heat treatment may be overestimated if cells are too injured or too stressed to be culturable and to form visible colonies. In this study, cellular enumeration of E. coli by using the differential detection via fluorescence microscopy was more appropriate to evaluate the viability of cells subjected to heat treatment, since viable cells were already detectable immediately after the treatment and not only after recuperation at optimum growth temperature, as was the case for the agar plate method. Indeed, while no cells were counted on the agar plates, fluorescence microscopy observation indicated that 8% of the population was viable for a treatment of 55°C at a process lethality value of 3 min (Table 3).
E. coli adaptation and resistance to various heat treatments.
Previous studies on the stress response in E. coli revealed an increase in intracellular DnaK concentration during a change in incubation temperature from 30 to 50°C (14). This increase in DnaK concentration was one of the first indications that DnaK is involved in the cellular heat shock response. Afterwards, the role of DnaK in the repair and reactivation of proteins damaged following a heat shock was established (18). So, the more stressful that a heat shock is, the more important the damage is, which in turn calls for more proteins that are capable of repairing denatured proteins so as to maintain vital functions. The results obtained for cell counts and intracellular DnaK concentrations (Fig. 1) show that a prolonged exposure to low temperature tends to be more favorable for DnaK synthesis at a higher intracellular concentration than is a high temperature applied for a shorter time (Table 1). E. coli seems to resist greater process lethality values (e.g., 1, 3, and 5 min) at a temperature of 50°C than at 55°C, because cells can produce more stress proteins required for their survival (Fig. 1).
According to Arsène et al. (1), raising the temperature from 30 to 42°C causes a rapid induction (15-fold) of HSP synthesis, which is followed by an adaptation period where the synthesis decreases to a new steady-state level. In the recuperation experiment, a DnaK concentration of cells treated at 55°C for a process lethality value of 3 min markedly increased after 12 and 24 h of incubation at 37°C compared to a DnaK concentration measured under optimum growth conditions (Table 3). Concurrently, cell counts reached levels of 4 and 8 log10 CFU/ml after 12 and 24 h of incubation, respectively. These results indicate that maintaining a higher DnaK concentration while cells are growing at optimal conditions could be advantageous to surviving a subsequent stress. Furthermore, the heat shock information is passed on to following generations when cells are incubated under optimum growth conditions. As the cell counts increased, the intracellular concentration of DnaK remained greater than the concentration obtained for unstressed cells grown under optimum conditions. The selective development of a more resistant subpopulation is also a possible explanation. In order to evaluate the occurrence and the importance of such spontaneous resistant mutants, intracellular DnaK concentrations would have to be compared among a certain number of survival cells after growth under optimum conditions and on several subcultures.
Greater heat resistance by a prior exposure to a sublethal heat stress has been reported for E. coli (14) and other gram-negative (11, 12) and gram-positive (3) bacteria. In Salmonella enterica serovar Typhimurium, this elevated heat resistance was shown to persist for at least 10 h of exposure at preincubation temperatures of 42, 45, and 48°C for cells in a stationary phase (11). The protective effect provided by a greater intracellular DnaK concentration against a lethal heat treatment was demonstrated by the greater resistance of heat-shocked cells than of exponentially growing cells (Table 4). Indeed, the heat-shocked cells that were held at 37°C for 12 h, prior to the lethal stress, had an intracellular DnaK concentration two times higher than that of unshocked cells. Although cell concentrations obtained after heat treatment were below detection levels, cell counts increased in the heat-shocked cells, whereas the exponentially growing cells were still below detection levels after 24 h of recuperation at 37°C. These results confirm that intracellular DnaK is a good indication of the cell capacity to resist and adapt to heat stress. To our knowledge, this is the first study that uses a stress protein to assess the efficacy of heat treatment. The results demonstrate that using cell enumerations on agar plates alone can lead to an overestimation of the efficacy of heat treatment being studied, whereas the presence of stress protein determines the conditions beyond which the cell is no longer able to adapt and resist.
| ACKNOWLEDGMENTS |
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K.S. is the recipient of a Fondation des Gouverneurs graduate scholarship. This research was supported by the Program on Energy Research and Development of Energy and Natural Resources Canada and Agriculture and Agri-Food Canada, and the operating budget of L.S. and M.L. from Agriculture and Agri-Food Canada.
| FOOTNOTES |
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| REFERENCES |
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32. Cell 69:833-842.[CrossRef][Medline]
32, the heat shock regulator in Escherichia coli, is governed by HflB. Proc. Natl. Acad. Sci. USA 92:3516-3520.
32. EMBO J. 14:2551-2560.[Medline]
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