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Applied and Environmental Microbiology, July 2003, p. 4123-4128, Vol. 69, No. 7
0099-2240/03/$08.00+0 DOI: 10.1128/AEM.69.7.4123-4128.2003
Copyright © 2003, American Society for Microbiology. All Rights Reserved.
Center for Red Meat Safety, Department of Animal Sciences, Colorado State University, Ft. Collins, Colorado 80523-1171,1 Department of Food Science and Human Nutrition, Colorado State University, Ft. Collins, Colorado 80523-15712
Received 17 October 2002/ Accepted 28 April 2003
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Various factors may influence the heat resistance of microorganisms. Inherently, different types of microorganisms subjected to identical heat stress conditions react differently, as some are able to withstand higher temperatures for extended periods of time (4, 33). Heat resistance also is affected by various environmental influences during growth and formation of cells or spores prior to heat stress, such as, among others, metabolic phase, growth temperature, and nutrient availability (33). It has been reported that heat shocking of Escherichia coli O157:H7, Salmonella enterica serovar Typhimurium, Listeria monocytogenes, and Aeromonas hydrophila cells during exponential growth resulted in increased thermal resistance (11, 20, 22, 37). Additionally, protective mechanisms allowing for an adaptive response to low-pH exposure have been reported among several microorganisms, including salmonellae (12). Among Salmonella serotypes, S. enterica serovar Typhimurium has received the most attention regarding its acid-adaptive capabilities (13, 26). S. enterica serovar Typhimurium possesses two growth phase-dependent, low-pH-inducible systems, each capable of mounting an acid tolerance response (ATR; 12, 13). In addition to the protection provided against subsequent low-pH exposure, acid-adapted S. enterica serovar Typhimurium may exhibit cross-protection against heat, osmotic, and oxidative stresses (13, 24, 27, 42). This stress-induced cross-protection phenomenon also has been reported among other bacteria, including E. coli O157:H7 and L. monocytogenes (6, 9). Lastly, environmental factors during heat exposure, such as carbohydrate availability, water activity and salt concentration, pH, and the presence of organic or inorganic compounds, in addition to conditions during cell recovery, influence the ability of microorganisms to survive or repair damage associated with heat stress (33). For example, Juneja et al. (19) reported increased resistance in salmonellae subjected to thermal stress in ground meat compared to those subjected to thermal stress in chicken broth.
In recent years, the recognition or emergence of antimicrobial-resistant bacterial pathogens has resulted in worldwide concern focused on the potential for increased morbidity and mortality resulting from failing antimicrobial treatments (39). In the United States, the reported prevalence of Salmonella strains resistant to a minimum of one antimicrobial increased from 16% in 1980 to 37% in 1996, the year of the first recognized outbreak involving a multiantimicrobial-resistant Salmonella strain (S. enterica serovar Typhimurium DT104; P. Dabney, C. Bopp, F. Tenover, L. Tollefson, F. Angulo, and The NAMS Working Group, abstr. 97th Gen. Meet. Am. Soc. Microbiol., abstr. C-136, p. 144, 1997; 29). More recently, antimicrobial susceptibility to 17 antimicrobials used by the National Antimicrobial Resistance Monitoring System has been determined for Salmonella strains isolated from ground meats (i.e., chicken, turkey, pork, and beef) sampled at retail supermarkets in the northeastern United States (38, 41). Of 45 isolates, 84.4% (n = 38) and 53.3% (n = 24) were resistant to at least one and three of the antimicrobials, respectively, while 15.6% (n = 7) were simultaneously resistant to at least nine (41). In addition to ground meats, multiantimicrobial-resistant Salmonella strains have been isolated from numerous other domestic and imported foods, including sprouts, spices, frozen seafood, freshwater fish, ice cream, meat, bone meal, herbs, cheese, and lettuce (23). In a study evaluating the antimicrobial susceptibility of 502 Salmonella strains isolated from various foods and associated samples between 1999 and 2000, 49.2% (n = 247) were resistant to at least one of the antimicrobials tested, and of those, 31.2% (n = 77) were multiantimicrobial resistant (23).
The presence of viable susceptible and antimicrobial-resistant bacterial pathogens at the retail level demonstrates the importance of safe product handling and proper preparation during cooking. Information regarding the relationship between antimicrobial susceptibility and the ability to resist heat stress is lacking. Therefore, the objective of this study was to determine if heat resistance differences exist between inocula of susceptible and multiantimicrobial-resistant salmonellae prepared under acid tolerance-inducing and noninducing conditions.
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TABLE 1. Serotypes and antimicrobial susceptibility patterns of susceptible and multiantimicrobial-resistant Salmonella strains used in this study
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Heat resistance.
Thermal inactivation experiments were performed in accordance with previously reported procedures for evaluation of the thermal resistance of Salmonella (4, 21), L. monocytogenes (11, 28), and Aeromonas hydrophila (37) strains in liquid whole eggs, egg fractions, and phosphate buffer. The capillary tubes (Kimax-51; 0.8 to 1.1 by 90 mm; Kimble Products, Vineland, N.J.) used in thermal inactivation experiments were sterilized by placement of 10 each into screw-cap test tubes (16 by 125 mm) and autoclaving. Each culture composite was dispensed (50 µl) into capillary tubes with a 50-µl syringe (Hamilton Gastight 1705; Hamilton Company, Reno, Nev.) with a 22-gauge, 10.2-cm hypodermic needle with a deflected (septum) point (Popper & Sons, Inc., New Hyde Park, N.Y.). The capillary tubes were manually heat sealed with a propane torch, and care was taken to avoid heating the cell suspension. Immediately after sealing, capillary tubes were suspended in a thermostatically controlled circulating-water bath (Isotemp 2013S; Fisher Scientific, Pittsburgh, Pa.). At each temperature and glucose level, susceptible and multiantimicrobial-resistant cultures were simultaneously challenged. Capillary tubes were completely submerged in the water bath with a suspended, screen-covered test tube rack. For each cell suspension at each challenge temperature, duplicate capillary tubes were removed at equally spaced time intervals for each of the following challenge temperatures. (i) At 55°C, samples were removed at 0, 3, 6, 9, 12, 15, and 18 min. (ii) At 57°C, samples were removed at 0, 45, 90, 135, 180, 225, and 270 s. (iii) At 59°C, samples were removed at 0, 30, 60, 90, 120, 150, and 180 s. (iv) At 61°C, samples were removed at 0, 10, 20, 30, 40, and 50 s. After heating, capillary tubes were cooled in a beaker containing an ice-water mixture and then sanitized by immersion in sodium hypochlorite (500 ppm, pH 6.5). Residual sanitizer was removed by two sequential immersions in sterile, distilled water. Following rinsing, each capillary tube was aseptically transferred with sterile forceps into a test tube (16 by 125 mm) containing 9 ml of sterile 0.1% buffered peptone water. Capillary tubes were finely crushed with a sterile glass rod while contained within the test tubes (16 by 125 mm). A homogeneous sample was then removed, and serial dilutions were made with sterile 0.1% buffered peptone water. Viable-cell populations were enumerated by plating (0.1 ml) appropriate dilutions, in duplicate, on tryptic soy agar supplemented with 0.6% yeast extract (TSAYE) and 1.0% sodium pyruvate (TSAYE+P; Difco Laboratories, Becton Dickinson). Plates were incubated at 28 ± 1°C for 72 h, and then colonies were manually counted and recorded as numbers of CFU per milliliter.
Data analysis.
Thermal inactivation experiments were performed in triplicate, during each of which duplicate samples (capillary tubes) were removed and analyzed at each sampling time. Resulting Salmonella populations (numbers of CFU per milliliter) were transformed to log10 numbers of CFU per milliliter for statistical analyses. The minimum detection limit for the plated sample volume (0.1 ml) was 3.3 log CFU/ml (1 CFU/ml); this was based on the maximum sensitivity, without further dilution, of the sample contained in the capillary tube (50 µl) after the tube was crushed. Samples without detectable colonies (<1) were recorded as containing 3.2 log CFU/ml (0.9 CFU/ml) so that statistical analysis could be performed. For each experimental replicate conducted at each challenge temperature and glucose level and for each Salmonella culture composite, survival curves were constructed by plotting the log of surviving counts versus the corresponding challenge times (Fig. 1). Following linear regression analysis by the REG procedure of SAS (36), only survivor curves with more than five values in the straight portion and having a coefficient of determination (r2) of greater than 0.90 were used (18, 19). The decimal reduction time (D value) was calculated as the negative reciprocal of the slope of the linear regression line of the survivor curve (D = -slope-1) (11, 21, 28, 37). Because of the number of variables involved in the study, it would be very difficult to determine and compare the heat resistances of individual strains. Therefore, it was decided to thermally challenge composites of strains and determine their D values as a means of comparing the heat resistances of the various inocula prepared under different conditions.
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FIG. 1. Survivor curves of susceptible (S) and multiantimicrobial-resistant (R) Salmonella cultures prepared by overnight growth in the absence (0.00%) or presence (0.25 or 1.00%) of glucose and subsequent exposure to 55°C (A), 57°C (B), 59°C (C), or 61°C (D). For each challenge temperature, values represent survivor populations from only one of three experimental replicates.
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Data also were evaluated to determine D value differences between challenge temperatures. Preliminary AOV indicated no difference (P = 0.7179) between Salmonella composites when they were evaluated across all of the glucose levels and challenge temperatures used. Therefore, Salmonella composites were pooled and data were evaluated by AOV with the model y = a + x1 + x2 + x1x2; least-squares means were computed for D values by glucose level (x1), challenge temperature (x2), and the glucose level-challenge temperature interaction (x1x2). Because of the interaction (P < 0.05), subclass least-squares means were reported and used for subsequent zD value and Ea value determinations. Interaction subclass least-squares means were separated with models including the following challenge temperature comparisons because of heterogeneity of variance: (i) 55 and 57°C; (ii) 57 and 59°C; and (iii) 59 and 61°C. When AOV detected effects (P < 0.05) within or between challenge temperatures, D values were separated by the pairwise t test of SAS (36).
Log10 D values were plotted versus the corresponding temperatures, and zD values were calculated as the negative reciprocal of the slope of the linear regression line of the thermal death-time curve (zD value = -slope-1). Ea values also were determined by constructing Arrhenius plots [log k versus temperature in Kelvin-1, where the rate constant (k) = 2.3/D], from which the slopes of the lines were used to calculate Ea as Ea = -2.3(R)(slope), where R is the gas constant (8.31 J K-1 mol-1) (11, 37).
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S-dependent general stress response system induced by entry into stationary phase, a pH-dependent system known as the stationary-phase ATR is induced by low-pH exposure (12, 25). Wilde et al. (42) reported RpoS-independent induction of stationary-phase acid tolerance among S. enterica serovar Enteritidis PT4 isolates following overnight growth in tryptic soy broth, nutrient broth, and Tryptone soya broth, all containing 0.25% glucose. In the present study, overnight growth (18 h; 37°C) of Salmonella strains in TSBYE (9 ml, pH 7.3) containing 0.00, 0.25 or 1.00% glucose resulted in ultimate pH values of approximately 8.1 to 8.3, 7.2 to 7.4, and 4.7 to 4.8, respectively, because of differences in fermentable carbohydrate availability (data not presented in tabular form). As indicated, individual strains were combined to produce six five-strain culture composites as a result of limitations associated primarily with the simultaneous removal of duplicate samples at each predetermined time interval. Further, previously collected data on the individual growth and inactivation kinetics of the Salmonella strains evaluated in this study suggested no differences (data not presented). However, it is worth noting that a strain-dependent difference in stress tolerance is a recognized phenomenon.
Following thermal stress, viable populations were recovered and enumerated on TSAYE+P, which has been reported to increase the recovery of low-pH-stressed cells by approximately 1,000-fold because of the protective action afforded against oxygen radicals (26, 30). Furthermore, plates were incubated at 28°C for 72 h prior to colony counting, as suboptimum temperatures have been reported to enhance repair of heat damage (18, 19, 22).
AOV for glucose level (0.00, 0.25, and 1.00%) and culture type (susceptible and multiantimicrobial resistant) main effects, at each of the four challenge temperatures (i.e., 55, 57, 59, and 61°C), indicated that thermal resistance (D value) depended (P < 0.05) on previous growth in the presence or absence of glucose (acid adaptation) at 59°C and on the interaction (P < 0.05) between previous acid adaptation and culture composite at 61°C (Table 2). The D61°C values of antimicrobial-susceptible Salmonella strains increased (P < 0.05) from 0.14 to 0.19 as the glucose level increased from 0.00 to 1.00%, respectively, while for the multiantimicrobial-resistant Salmonella strain composite, the corresponding D values were not different (P > 0.05), as growth in both TSBYE-G and TSBYE+G resulted in a decimal reduction time of 0.21 min. At 61°C, the thermal resistances of susceptible and multiantimicrobial-resistant composite cultures were not different (P > 0.05) when the bacteria were grown in the presence of 0.25% glucose. At 59°C, when averaged across culture composites, the decimal reduction times increased (P < 0.05) from 0.50 min for Salmonella strains grown in the absence of glucose to 0.58 min for Salmonella strains grown in 0.25% glucose; the D59°C values also increased (P < 0.05) from 0.58 min following growth in 0.25% glucose to 0.66 min for Salmonella strains grown in the presence of 1.00% glucose, respectively (Table 3).
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TABLE 2. AOVa for glucose level and culture composite fixed effects and the glucose level-culture composite interaction for each challenge temperature
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TABLE 3. Decimal reduction times, zD values, and Ea values for salmonellae grown to stationary phase with or without glucose
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Results of this study suggested a positive relationship between acid adaptation and the ability to resist thermal stress. Decimal reduction times associated with heating at 59 and 61°C increased (P < 0.05) following previous acid adaptation, and despite greater variability, a similar relationship was also suggested at 55°C (P = 0.0511; Table 2). It has been reported that, in addition to withstanding low-pH exposure, acid-adapted S. enterica serovar Typhimurium exhibits cross-protection from heat, osmotic, and oxidative stresses (27, 42). Leyer and Johnson (27) reported that acid adaptation during logarithmic growth alters cellular resistance to a wide range of environmental stresses, including temperature and salt, by inducing the synthesis of specific outer membrane proteins, subsequently resulting in increased outer surface hydrophobicity in addition to intracellular proton homeostatic activities. They reported ≥10-fold differences in survivor counts between acid-adapted and nonadapted S. enterica serovar Typhimurium following prolonged exposure to 50.0, 55.0, and 57.5°C and enumeration on tryptose-phosphate agar containing at least 0.1% sodium pyruvate (27). Wilde et al. (42) evaluated heat and acid tolerance among S. enterica serovar Enteritidis PT4 strains possessing normal and mutant rpoS alleles following fermentative stationary-phase growth in complex media containing glucose. When blood agar was used to enumerate viable cells, induction of the RpoS-independent ATR resulted in significantly higher (P < 0.001) tolerance to heat among cells grown in tryptic soy broth or nutrient broth (no. 2) containing 0.25% glucose compared to cells grown in the absence of glucose (42). It is worth noting that, much as the physiological state of a bacterium has been shown to influence stress survival (25), so may nutrient availability. Cells grown under laboratory conditions in a medium containing an abundant supply of nutrients may not accurately simulate the physiology of cells found in the food environment (27). Lack of available nutrients has been found to induce heat shock protein production in S. enterica serovar Typhimurium and E. coli, resulting in starvation-induced thermal cross-protection (17, 27).
The relationship between acid adaptation and the ability to resist thermal stress may prove relevant to the production and manufacturing of certain foods. Commercially available brands of semidry and summer-type sausages are associated with pH values ranging from 4.5 to 5.2 and 4.5 to 4.7, respectively (16). In this study, overnight growth of Salmonella strains in TSBYE (pH 7.3) containing 1.00% glucose resulted in pH values of approximately 4.7 to 4.8. Microorganisms may also encounter sublethal, low-pH stress during nonfermented-food manufacturing (e.g., animal-to-muscle food conversion). The use of organic acids to decontaminate food surfaces has been extensively examined, and as a result of recognized antimicrobial efficacy, acid solution rinsing is used throughout the commercial beef industry during the slaughtering and dressing process (8). Coupled with this application is the opportunity for sublethal, transient low-pH exposure and subsequent acid tolerance development among associated bacterial populations (e.g., salmonellae). The occurrence of localized, sublethal pH microenvironments within a slaughtering facility is not only plausible but probable, as in-plant organic acid solution rinsing typically occurs following ambient temperature carcass washing (water), a subject of previous discussion (35). The effects of organic acids on the pH of microenvironments within commercial slaughtering facilities are not fully understood but provide a potential means by which acid tolerant bacteria may be developed and reintroduced to carcass surfaces. The ability of salmonellae to mount an ATR also may prove important during pathogenesis, as acid-adapted cells may survive subsequent acid stress exposure(s) associated with food ingestion (i.e., stomach, intestinal, and intracellular environments), especially among individuals with compromised gastrointestinal tracts, ultimately resulting in infection (15, 43).
Although obvious differences exist between laboratory and commercial industry settings, acid adaptation resulting from exposure(s) to sublethal low-pH stress may result in cross-protection against heat stress, subsequently increasing pathogen survival in fresh or fermented undercooked or underprocessed foods (27, 34). Results of this study comparing the thermal tolerances of susceptible and multiantimicrobial-resistant Salmonella strains challenged following preparation under acid tolerance-inducing and -noninducing conditions suggested no association between antibiotic susceptibility and the ability to survive or repair damage associated with heat stress. Additional work is required to further understand the relationships among antimicrobial susceptibility, stationary-phase ATR induction, and sensitivity to environmental stresses and how these relationships are intertwined with current food manufacturing and processing practices.
We thank E. K. McClure, J. L. Stefanek, and L. I. Wright for assistance.
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S (RpoS) is required for a sustained acid tolerance response in virulent Salmonella typhimurium. Mol. Microbiol. 17:155-167.[Medline]
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