|Applied And Environmental Microbiology, June 1986, p. 1285-1292||Vol. 51. NO-6|
|Copyright © 1986, American Society for Microbiology|
Coincident Plasmids and Antimicrobial Resistance in Marine Bacteria Isolated From Polluted and Unpolluted Atlantic Ocean SamplesA. M. BAYA, P. R. BRAYTON, V. L. BROWN, D. J. CRIMES, E. RUSSEK-COHEN, AND R. R. COLWELL
Department of Microbiology, University of Maryland, College Park, Maryland 20742
Received 14 August 1985 / Accepted 3 March 1986
Sewage effluent and outfall confluence samples were collected at the Barceloneta Regional Treatment Plant in Barceloneta, Puerto Rico; outfall confluence samples at Ocean City, Md., were also collected. Samples from uncontaminated open ocean areas served as clean-water controls. Bacteria were enriched in marine broth 2216 amended with 1 pg of one of a set of chemicals selected for study per ml: nitrobenzene, dibutyl phthalate, m-cresol, o-cresol, 4-nitroaniline, his(tributyltin) oxide, and quinone, MICs of the chemicals were determined individually for all isolates. Bacterial isolates were evaluated for resistance to nine different antibiotics and for the presence of plasmid DNA. Treated sewage was found to contain large numbers of bacteria simultaneously possessing antibiotic resistance, chemical resistance, and multiple bands of plasmid DNA. Bacteria resistant to penicillin, erythromycin, nalidixic acid, ampicillin, m-cresol, quinone, and bis(tributyltin) oxide were detected in nearly all samples, but only sewage outfall confluence samples yielded bacterial isolates that were resistant to streptomycin. Bacteria resistant to a combination of antibiotics, including kanamycin, chloramphenicol, gentamicin, and tetracycline, were isolated only from sewage effluent samples. It is concluded that bacterial isolates derived from toxic chemical wastes more frequently contain plasmid DNA and demonstrate antimicrobial resistance than do bacterial isolates from domestic sewage-impacted waters or from uncontaminated open ocean sites.
The incidence of antibiotic-resistant bacteria in aquatic environments has increased dramatically as a consequence of the widespread use of antibiotics by humans. This increase has resulted from a variety of factors, perhaps the most important of which is the selection for resistant strains and the ability of such strains to exchange plasmids encoding resistance. The high incidence of resistant bacteria has been documented for chronically polluted waters (5, 6, 32 37). Such bacteria also occur in sewage (6, 16, 33, 38, 40, 42), rivers and marine waters (12, 13, 20, 29, 30, 32, 37, 39, 41; D. L. Glassman. Ph.D, thesis, University of Maryland. College Park, 1981), fresh water, and marine shellfish (6, 7). It is known that bacteria can transfer resistance plasmids in situ to indigenous microflora (27). Interspecies and intergeneric transfer of R plasmids has also been shown to occur (8, 9, 27, 31, 34). For example. Patt et al. (36) and Sizemore and Colwell (37) reported evidence of plasmid transfer from Escherichia coli to marine bacteria and Guerry and Colwell (19) reported transfer from E. coli to estuarine bacteria. The potential for plasmid transfer is especially significant in view of the fact that many bacteria containing R plasmids, the possession of which is associated with antibiotic resistance, exhibit higher rates of survival in aquatic environments (14, 15, 24). Several studies have focused on the association between plasmids and antibiotic (32, 39) or heavy-metal (35; I... H. Bopp. H. L. Ehrlich, D. A. Friello, and A. M. Chakrabarty. Abstr. Annu. Meet. Am. Soc. Microbiol, 1979. H(H)13. p. 138) resistance in enteric bacteria isolated from the environment. It is also well known that heavy-metal resistance in bacteria is associated with single or multiple drug resistance (1, 11; S. C. Tripp. T. Barkay, and B. H. Olson, Abstr. Annu. Meet. Am. Soc. Microbiol, 1984, Q19, p. 207). However, very few studies of the spatial and temporal distribution of plasmids in natural environments have been reported. Glassman (PhD. thesis) found that many estuarine bacterial isolates carried at least one plasmid. Similarly. Kobori et al. (26) concluded that plasmids are ubiquitous among psychrophilic and psychrotrophic bacterial isolates from McMurdo Sound, Antarctica. Hada and Sizemore (20), in a study of the marine vibrios of the Gulf of Mexico, found a higher incidence of plasmid-bearing strains at a polluted site than at an unpolluted site. In contrast, Burton et al. (4) studied bacteria isolated from river sediments and found no significant difference between polluted and unpolluted sites with respect to incidence of plasmid-bearing strains. Here, we report that natural waters exposed to toxic chemical wastes showed a higher coincidence of antibiotic-resistant bacteria and bacteria bearing multiple plasmids than did isolates from samples of domestic sewage-impacted or clean open ocean waters.
Materials And MethodsFour different types of samples were collected and examined for antibiotic-resistant bacteria. Sewage effluent samples, designated SE, were collected directly from the Barceloneta Regional Treatment Plant at Barceloneta. Puerto Rico: effluent from this plant was not disinfected (chlorinated) at the time of sampling. Water surrounding the Barceloneta Regional Treatment Plant outfall diffuser was also sampled (samples designated SO) during this Puerto Rico cruise aboard the R/V Mr. Mitchell in February 1982 (18). In March 1983, additional seawater samples were collected from various sites around the outfall diffuser of the wastewater treatment plant in Ocean City, Md (samples designated OC), during a research cruise aboard the R/V Cape Hatteras. Sewage at Barceloneta Regional Treatment Plant is composed of 65% pharmaceutical and industrial waste; sewage at Ocean City (OC) is primarily domestic, with large volume fluctuations related to seasonal factors, notably summer tourist trade. Clean water (CW) samples from unpolluted, control sites were also collected from the same ship, at a location on” Beaufort, N.C. (lat. 36°35' N, long. 75°30' W), in May 1982. Sterile bag samplers (General Oceanics Inc., Miami, Fla.) were used to obtain all SO, OC, and CW water samples; SE was collected from a sampling faucet into sterile glass bottles. Isolation and maintenance of strains. Each water sample (1 ml) was added to seven separate 2-ml volumes of marine broth 2216 (Difco Laboratories, Detroit, Mich.), each supplemented with 1 pg of nitrobenzene, o-cresol, m-cresol, quinone, 4-nitroaniline, bis(tributyltin) oxide, or dibutyl phthalate per ml. Cultures were maintained in the enrichment medium until testing. The testing of the strains was done as follows. After overnight incubation at 27°C, cultures were streaked onto marine agar 2216 plates. Isolates were picked and transferred to eight differential media (Difco Laboratories): xylose-lysine-deoxycholate, thiosulfatecitrate-bile salt-sucrose, MacConkey, MacConkey plus trehalose, staphylococcus 110, Levine eosin-methylene blue, pseudomonas P, and pseudomonas F agars. After incubation for 24 h at 27°C, colonies were selected at random and streaked for purity, and the pure cultures were maintained both in semisolid media (yeast extract, 3.0; peptone, 10; NaCl, 10; and 8381', 5 g/liter) and in 12% aqueous glycerol under liquid nitrogen. MIC. The MIC was determined for each strain and for all chemicals, using a solid medium (yeast extract, 3; NaCl, 10; peptone, 10; and agar, 18 g/liter) containing the following concentrations of chemicals: o-cresol and m-cresol, 500, 250, and 125 µg/ml; bis(tributyltin) oxide, 24, 12, and 6 µg/ml; quinone, 75, 37.5, and 12.5 µg/ml; dibutyl phthalate, nitrobenzene, and 4-nitroaniline, 1,000 and 500 µg/ml. The chemicals used were among those recommended for priority consideration under the Toxic Substances Control Act, and the concentrations were within the range of the maximum expected concentration of these pollutants in aquatic environments. Antibiotic resistance. Antibiotic resistance testing was performed with Mueller-Hinton agar plates (Oxoid Ltd.. USA. Columbia, Md.) and Sensidiscs (BBL Microbiology Systems, Cockeysville, Md.), following standard methods (2). The antibiotics tested were ampicillin (10 pg), chloramphenicol (20 pg), erythromycin (15 pg), gentamicin (10 pg), kanamycin (10 its), novobiocin (30 pg), penicillin (30 pg), streptomycin (10 us), and tetracycline (30 pg). Isolates were considered sensitive by standards suggested by Bauer et al. (2). Screening for plasmid DNA. Cultures were incubated overnight on Upper Bay yeast extract agar plates (1), and plasmid DNA was alkaline extracted by the method of Kado and Liu (23). Agarose (0.7%) gel electrophoresis was performed, using a water-cooled horizontal apparatus (H68 1312; Savant Instruments. Hicksville. N.Y.). After 4 h, gels were submerged in ethidium bromide solution (1 µg/ml; Sigma Chemical Co.. St. Louis. M0.) for 25 min and then allowed to stand in distilled water overnight at 4°C. Gels were subsequently visualized with a 300-nm transilluminator (model 3-4400; Fotodyne, New Benton, Wis.) and photographed with Polaroid 665 film exposed through Wratten filters (no. VP29 and 28). The molecular weights of the plasmids were determined by comparing the R values of the unknown plasmid DNA to a standard curve of molecular weight versus R, obtained with E. coli strain V517 (28). Computer analysis. With the exception of data concerning plasmid molecular weights and chemical enrichments, each trait was coded for present, absent, or unknown. There were four possible outcomes for each MIC test and the MIC data were coded by using a scheme devised by Beers and Lockhart (3). Plasmid molecular mass data were coded as megadaltons (MDa), and these data were not used in the original cluster analysis. Similarly, the enrichment chemical was coded as a single-digit number from 0 (control) to 7 and was inspected only after clusters had been determined, in an attempt to discover whether cluster members shared chemical affinities. All clustering was done with the program TAXAN6, available on the University of Maryland Univac 1108 computer. The data were analyzed by using the Simple Matching coefficient, S(M), which includes both positive and negative matches, and the Jaccard coefficient, 8(1), which excludes negative matches. Clusters were determined by single and unweighted average linkage. Feature frequencies and chi-square tests for association were performed by using the Statistical Analysis System on the University of Maryland IBM 4381. A number of reformatting and plotting functions were then performed by awk scripts. Tables, histograms, and bar charts were produced in a similar manner.
Results And DiscussionFeature frequencies by site for the 229 strains isolated and tested in this study. The frequency of positive characteristics for the entire data set (229 strains), as well as a breakdown by site, is given in Table 1. Eighteen characteristics were used for feature frequency and cluster analysis. All strains but one proved to be gram-negative, rod-shaped bacteria. Of the 38 oxidase-negative strains, 36 were isolated from SE. This source also yielded the majority of erythromycin-, streptomycin-, and kanamycin-resistant strains, as well as the only strains isolated in the study that were resistant to gentamicin, chloramphenicol, or tetracycline. SE and SO strains were highly resistant to m-cresol and quinone, although >50% of all strains were resistant to concentrations of 250 to 500 µg of m-cresol per ml. Strains from all sites were resistant to lower concentrations of bis(tributyltin) oxide than to the other chemicals tested. Strains isolated from samples collected at the control sites (CW), in particular, were shown to be sensitive to this compound. The chi-square test for homogeneity of proportion indicated a statistical difference (P < 0.05) between sites for all characteristics tested, with the exception of Gram reaction and catalase production. Pairwise chi-square tests were performed for each characteristic, to determine which sites were responsible for the differences observed. These results are also presented in Table 1, in these pairwise tests, the significance level was adjusted to create a Bonferroni multiple-comparison procedure (25). A Kruskal-Wallis test (21) was used to compare number of plasmids and molecular weights with a corresponding multiple-comparison procedure to determine which sites were different. Strain clustering. The 229 strains examined formed a large group at the S (similarity) 231% level, using the Jaccard similarity coefficient and unweighted average linkage. Within this group, 10 clusters, or phena, were distinguished at varying levels of similarity above 65%. Twenty-one strains did not fall into any one of these phenetic groups. No cluster with less than five members was considered further. A shaded similarity matrix, showing all strains, is presented in Fig. 1A and a corresponding dendrogram showing all strains is presented in Fig. 1B. A comparison of positive characteristics among the clusters is shown inTable 2. Clusters 1 and 10 were composed entirely of strains from SB. No other clusters contained strains from only one site. In addition, strains in cluster 1, which formed at the 68% level, were highly resistant to the chemicals quinone, bis(tributyltin) oxide, and m-cresol. All strains in the cluster possessed plasmid DNA. Cluster 2 joined at S a 75% and showed resistance to the highest concentration of all three toxic chemicals. Members of the cluster also showed very broad antibiotic resistance patterns, with 1 strain demonstrating resistance to eight of the nine antibiotics tested and 14 strains showing resistance to five or more. Only one-third of the strains possessed plasmid DNA. Cluster 10 formed at 86%. All members of the cluster exhibited resistance to four or more antibiotics. Five of the nine gentamicin-resistant strains isolated during the study belonged to this cluster. Cluster 3 joined at S 2 74% and was, in turn, joined by cluster 4 at 63%. All strains tested were resistant to novobiocin. Resistance to penicillin, ampicillin, and erythromycin was also observed. Three strains showed resistance to all four antibiotics. Cluster 4 contained six strains isolated from SE, along with three strains from the SO samples. Antibiotic and toxic chemical resistances were lower in this cluster than in those previously described. Cluster 5, which joined at S 2 73%, consisted primarily of strains from the CW control site. Only m-cresol resistance was high, with 72% of the cluster members showing a MIC 250 to 500 µg/ml. Furthermore, only two strains exhibited antibiotic resistance, both to novobiocin. Members of cluster 6 represented each of the four sites surveyed and exhibited similarity at 268%. No strong trends of toxic chemical or antibiotic resistance were observed within this group, although >80% of the members displayed a MIC of 250 to 500 pg of m-cresol per ml. Cluster 7, which contained only five members, showed an internal similarity of 269%. One strain, from the SE site, possessed plasmid DNA. The other strains were from CW. All strains were resistant to penicillin and toxic chemical resistance for this group was low. Cluster 8, with only six members, showed a 66% similarity and joined cluster 7 at 65%. All members possessed plasmid DNA and all but one of the strains tested were resistant to quinone at concentrations above 75 µg/ml. The largest cluster, cluster 9, was composed of 61 strains, primarily from the OC and SO sites. Less than 20% of the strains contained plasmids. All exhibited some antibiotic resistance, with 26 strains showing resistance to penicillin, ampicillin, and novobiocin, while 22 strains were resistant only to penicillin and ampicillin. This cluster showed an overall similarity of 67%. Antibiotic resistance, MIC, plasmid relationships. No strong correlation was found between number of plasmid bands, or average plasmid molecular weight, and antibiotic resistance pattern (Table 3). Of 18 strains showing the highest resistance overall, 10 had no detectable plasmid bands. It is possible that plasmids were present, but in low copy number, thereby escaping detection. It is also possible that very large plasmids (>100 megadaltons) went undetected, using the methods described. No particular size range of plasmid DNA could be correlated with any resistance combination. Reasons other than plasmid-mediated resistance for increased antibiotic resistance of strains isolated from waters impacted by chemical wastes must be considered. Bacteria accomplish antibiotic resistance by different means. One mechanism is metabolism of the drug itself. Other possible mechanisms include decreased cell wall permeability and only to penicillin and ampicillin. This cluster showed an overall similarity of 67%. The relationship of plasmids to MIC was studied in a similar manner. Only 44% of the strains exhibiting tolerance to greater than the highest concentration of each chemical possessed plasmid DNA. However, all but one strain with this tolerance pattern were from SE. SE strains accounted for 65% of the strains resistant to the highest concentration of at least one chemical. SO strains made up an additional 20% of this group. Comparison of antibiotic resistance patterns with MIC patterns showed a relationship between MIC levels and number of antibiotics to which the strain was resistant. In all but one case, strains which showed resistance to six or more antibiotics also exhibited MIC greater than the highest concentration for m-cresol, bis(tributyltin) oxide, and quinone. Strains with no antibiotic resistance tended to show low overall MIC. Antibiotic resistance and presumptive genus. 0f the 38 oxidase-negative strains in the data set, 24 were shown to be glucose fermentative. All were gram-negative. Based on attributes described in Bergey's Manual of Systematic Bacteriology (22), these strains may be considered to be members of the family Enterobacteriaceae. The 38 enteric strains were examined for plasmids, as well as for antibiotic resistance. Interestingly, comparison of number of strains with plasmids of log10 molecular weight for the enteric bacteria was similar to that of the complete data set. Plasmid bands with molecular sizes in the range 11.2 to 20 M02: were not detected within the enterics, and all but three strains were found to possess plasmid DNA. The number of plasmid bands per strain ranged from 1 to 11. These findings are significant especially in the finding of enteric bacteria with a high incidence of plasmids. Furthermore, the antibiotic resistance patterns of these enteric strains were examined and compared with the oxio dase-positive, glucose-oxidizing (Pseudomonas sp.) strains. Comparisons were also made to strains which were oxidase positive and facultative, i.e., oxidative as well as fermentative, and to strains which were neither oxidative nor fermentative ( Fig. 2). Strains positive for oxidase and glucose fermentation (group III. Fig. 2) numbered 107 and comprised the largest group examined, demonstrating resistance to several antibiotics. Few strains in this large group demonstrated kanamycin resistance and none were resistant to chloramphenicol and tetracycline.
AcknowledgementsWe gratefully acknowledge the valuable assistance of Robert S. Boethling in selection of chemicals and review of the manuscript. We also thank the captains and crews of the University-National Oceanographic Laboratory System Research Vessel Cape Hatteras and the National Oceanographic and Atmospheric Administration Research Vessel MI. Mitchell for their able assistance in obtaining the samples. Support for this research was provided in part by National Oceanic and Atmospheric Administration grant NA 79AA-000062 and by National Science Foundation grant BSR-94-01397.
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