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Applied and Environmental Microbiology, January 2007, p. 477-484, Vol. 73, No. 2
0099-2240/07/$08.00+0 doi:10.1128/AEM.01445-06
Copyright © 2007, American Society for Microbiology. All Rights Reserved.
Biotechnology Research Institute, National Research Council of Canada, 6100 Royalmount Ave., Montreal, Quebec, Canada H4P 2R2,1 Department of Microbiology and Immunology, Université de Montréal, 2900 boul. Edouard Montpetit, Montreal, Quebec, Canada H3T 1J4,2 Groupe de Recherche sur les Maladies Infectieuses du Porc, Faculté de Médecine Vétérinaire, Université de Montréal, 3200 rue Sicotte, Saint-Hyacinthe, Quebec, Canada J2S 7C6,3 National Water Research Institute, Environment Canada, 867 Lakeshore Road, Burlington, Ontario, Canada L7R 4A64
Received 22 June 2006/ Accepted 27 October 2006
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Although pathogenic E. coli bacteria are known to be associated with food-borne diseases, relatively few studies have been performed to determine their distribution in environmental surface waters (6, 12, 18, 19, 23, 27). In these studies, ExPEC bacteria have been particularly neglected, as enteric pathotypes are generally targeted. In two water-related studies where ExPEC detection was included (12, 23), almost all the pathogenic E. coli isolates were characterized as ExPEC. This unexpectedly high percentage of ExPEC isolates underscores the need for additional studies of their environmental prevalence.
ExPEC isolates have been found to share a characteristic distribution within the widely used E. coli phylogenetic classification, A, B1, B2, and D, proposed by Clermont et al. (7). Most commensal E. coli isolates derive from phylogenetic group A or B1. Obligatory pathogens responsible for acute and severe diarrhea (EHEC, ETEC, and enteroinvasive E. coli) also group within the A and B1 groups, whereas the pathotypes linked to chronic and mild diarrhea (EPEC, EAEC, and diffusely adherent E. coli) are distributed across all the four phylogenetic groups (11, 14, 15). In contrast, ExPEC isolates derive predominantly from E. coli phylogenetic group B2 and, to a lesser extent, group D (14, 15).
Microarray technology offers the most rapid and practical tool for detecting the presence or absence of a large set of virulence genes simultaneously within a given E. coli isolate. The oligonucleotide microarray used in the present study carries 348 probes, representing 189 virulence and virulence-related genes from all known E. coli pathotypes and 30 antimicrobial resistance genes (4), giving a comprehensive picture of the virulence-related gene profile (hence the pathotype) as well as the antimicrobial resistance gene profile of any given isolate. Published data demonstrate that, regardless of phylogenetic group, the virulence factor profile of an E. coli isolate predicts its in vivo pathogenicity in animal models of extraintestinal infection, providing evidence that virulence factor testing can be used to infer actual virulence potential (13). In addition, it has been suggested that the number of ExPEC virulence genes in an E. coli isolate is proportional to its pathogenic potential (28).
In the present study, E. coli bacteria were isolated from surface water samples at six locations in the St. Clair River and Detroit River areas, representing diverse fecal pollution influences ranging from an urban municipal wastewater-affected site to a relatively unpolluted site several kilometers offshore in Lake St. Clair. The four primary sampling locations also represented different aquatic ecosystems, ranging from nearshore and offshore lake environments to an urban riverine environment and a rural estuarine environment. Results showed that the distribution of pathotypes and of antimicrobial resistance genes in E. coli isolates differed significantly between sampling locations and that the E. coli pathotype most commonly encountered was ExPEC.
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TABLE 1. Description of the sampling locations in different aquatic ecosystems within the St. Clair River and Detroit River areas
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FIG. 1. Map of St. Clair River and Detroit River areas showing the locations of the sampling sites. Sites are labeled as described for Table 1.
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DNA extraction.
E. coli isolates were grown overnight in 5 ml of tryptic soy broth at 37°C. One milliliter of cell suspension for each isolate was transferred to 1.5-ml centrifuge tubes and spun at 15,500 x g for 2 min. The supernatants were removed and the cell pellets resuspended in 200 µl of sterile water by vortexing. The suspensions were boiled for 10 min and centrifuged as before, and 150 µl of each supernatant containing DNA was removed for testing.
E. coli DNA labeling.
Bacterial DNA was labeled using the Bioprime DNA labeling system (Invitrogen Life Technologies, Burlington, Ontario, Canada). In order to remove any contaminating RNA, 2 µl of RNase A (10 mg/ml) (USB, Cleveland, OH) was added to the genomic DNA sample for 2 min at 24°C, followed by centrifugation (15,500 x g, 2 min, 24°C). Four microliters of the supernatant was added to a final volume of 50 µl containing 20 µl of random-primer solution, 1 µl of high-concentration DNA polymerase (Klenow fragment, 40 U/µl), 5 µl of a deoxynucleoside triphosphate mix (1.2 mM dATP, 1.2 mM dGTP, 1.2 mM dTTP, and 0.6 mM dCTP in 10 mM Tris [pH 8.0] and 1 mM EDTA), and 2 µl of 1 mM Cy5-dCTP. Labeling reactions were performed in the dark at 37°C for 3.5 h and stopped by addition of 5 µl of 0.5 M Na2-EDTA (pH 8.0). After addition of 2.5 µl of 3 M sodium acetate (pH 5.2), the labeled samples were purified with a PureLink PCR purification kit (Invitrogen Life Technologies) according to the manufacturer's protocol. The amount of incorporated fluorescent Cy5 dye was then quantified by scanning the DNA sample from 200 to 700 nm and subsequently inputting the data into the Internet-based percent incorporation calculator found at http://www.pangloss.com/seidel/Protocols/percent_inc.html.
DNA microarray.
The microarray used in this study is based on earlier published work (2), with the addition of recently identified virulence-related genes in E. coli and the antimicrobial resistance genes most commonly encountered in gram-negative bacteria (20). The current version carries 348 oligonucleotides (70 mers) targeting 189 virulence or virulence-related genes representing all known E. coli pathotypes and 30 antimicrobial resistance genes (4). The microarray also carries four positive-control DNAs for E. coli derived from the tryptophanase (tnaA), beta-glucuronidase (uidA), lactose permease (lacY), and beta-galactosidase (lacZ) gene sequences. Negative controls consist of oligonucleotides derived from the green fluorescent protein gene sequence of Aequoria victoria and the chlorophyll synthase gene from Arabidopsis thaliana. Microarray construction, validation, and oligonucleotide probe sequence information has been published elsewhere (4).
Hybridization of labeled DNA.
Hybridization was performed as described in an earlier publication (12). In summary, microarrays were prehybridized at 50°C for 1 h, followed by hybridization overnight at 50°C, in DIG Easy Hyb buffer (Roche Diagnostics, Laval, Quebec, Canada) containing 5% (vol/vol) bovine serum albumin. After hybridization, the microarrays were processed through four stringency washes (three in 0.1x SSC [1x SSC is 0.15 M NaCl plus 0.015 M sodium citrate], 0.1% [wt/vol] sodium dodecyl sulfate and one in 0.1x SSC) at 37°C for 5 min under agitation. The slide was then air dried and scanned at a resolution of 10 µm at 85% laser power with a ScanArray Lite fluorescent microarray analysis system (Perkin-Elmer, Missasauga, Ontario, Canada). Acquisition of fluorescent spots and quantification of fluorescent spot intensities were performed using ScanArray Express software version 2.1 (Perkin-Elmer, Foster City, CA). All data were normalized by subtracting local background values from the recorded spot intensities for one subarray. For each subarray, the median value for each set of triplicate-spotted oligonucleotides was compared to the median value for the subarray from which the triplicate set of spots was derived. Oligonucleotides with a signal-to-noise fluorescence ratio greater than 2.0 were considered positive.
Pathotype and phylogenetic group classification.
Each E. coli isolate was assigned to a particular pathotype (17, 24, 25) according to its set of virulence genes or markers: for ETEC, LT and/or STa and/or STb; for STEC subgroup EHEC, stx1 and/or stx2, espA, espB, tir, and eae; for STEC-potential EHEC, stx1 and/or stx2; for EAEC, capU, shf, and virK, aggregative adherence fimbria-encoding genes; for atypical EPEC, espA, espB, tir, eae, and its variants and the absence of bfpA; for ExPEC subgroup uropathogenic E. coli (UPEC), P pilus-encoding gene, hlyA, and S fimbria-encoding genes, chuA, fepC, cnf1, irp1, irp2, fyuA, iroN, and usp; for ExPEC subgroup septicemia-associated E. coli (SEPEC), cdtB-3, cdtB-2, cdtB-1, cdtB-4, cnf2, F17A, f165(1)A, iucD, and gafD; for ExPEC subgroup meningitis-associated E. coli (MNEC), ibeA, neuA, and neuC; and for "other ExPEC," kpsM, iutA, iucD, traT, malX, irp1, irp2, fyuA, chuA, fepC, iss, and kfiB (25). Isolates lacking one or more of the genes defining a given set were considered nonpathogenic. E. coli isolates were assigned to a phylogenetic group based on the presence of the chuA, TspE4.C2, and yjaA genes as described by Clermont et al. (7).
Statistical analysis.
The likelihood ratio test (16) was used to assess the significance of comparative results under the binomial and multinomial models.
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Site-specific distribution of 308 E. coli isolates according to pathotype.
The percentages of E. coli isolates having defined pathotypes for the six sampling locations are shown in Table 2. The percentages of isolates with defined pathotypes were significantly higher for sites 4 and 5 (near Detroit), which were anticipated to be more influenced by urban municipal wastewater than other locations. For the four primary locations, there was a greater percentage of E. coli isolates with defined pathotypes for site 4 (48%) than for sites 1 (27%), 2 (20%), and 3 (27%). These differences are highly significant (P < 0.003). The two secondary sites were located close to site 4 (downstream from the city of Detroit), so results similar to those obtained for site 4 might have been expected. However, whereas site 5 had almost the same proportion of isolates with defined E. coli pathotypes as site 4 (50%), only 18% of the isolates from site 6 (near Fighting Island) had pathogenic E. coli pathotypes.
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TABLE 2. Percentages of E. coli pathotypes among isolates from different aquatic ecosystems within the St. Clair River and Detroit River areas
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It is noteworthy that 25% of all of the E. coli isolates carried unusual virulence gene combinations (that do not correspond to a specific pathotype) and/or at least three antimicrobial resistance genes, yet these were not classified as pathotypes by our criteria. The frequency of E. coli pathotypes reported in this study can therefore be considered a conservative estimate.
Phylogenetic group distribution.
The percentages of E. coli isolates in each phylogenetic group differed according to the location (Table 3). Sites 1 and 2 showed similar distributions among the different phylogenetic groups, with most E. coli isolates belonging to groups A and B1 and only a few belonging to groups D and B2. At site 3, only 2% of the isolates were classified in group A, whereas 65% belonged to group B1. The isolates were almost equally distributed among the four phylogenetic groups at site 4, which was the only site where a substantial percentage of isolates belonged to group B2. On the other hand, the secondary location site 5 showed a higher percentage of E. coli isolates in group D (80%), whereas site 6 showed a majority of isolates belonging to group A (64%), although the sample sizes were small.
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TABLE 3. Frequencies of phylogenetic groups among E. coli isolates from different aquatic ecosystems within the St. Clair River and Detroit River areas
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TABLE 4. Frequencies of pathotypes and antimicrobial resistance genes among E. coli isolates from different aquatic ecosystems within the St. Clair River and Detroit River areas
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TABLE 5. Frequencies of antimicrobial resistance gene-positive E. coli isolates belonging to different pathotypes in different aquatic ecosystems within the St. Clair River and Detroit River areas
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TABLE 6. Frequencies of antimicrobial resistance genes among 308 E. coli isolates from different aquatic ecosystems within the St. Clair River and Detroit River areas
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TABLE 7. Frequencies of tsh gene-positive E. coli isolates belonging to different pathotypic groups in various aquatic ecosystems within the St. Clair River and Detroit River areas
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The results show that ExPEC bacteria were found to occur at every aquatic ecosystem location that we sampled. Overall, the site most influenced by urban municipal wastewater (site 4) demonstrated the highest percentage of defined E. coli pathotypes as well as E. coli bacteria carrying antimicrobial resistance genes. At this site, ExPEC bacteria classified as MNEC, UPEC, and SEPEC (associated with meningitis, urinary tract infection, and septicemia, respectively) were found. Moreover, intestinal E. coli pathotypes were also observed. The ExPEC isolates belonged to both the D and the B2 phylogenetic groups, the latter being the predominant group from which ExPEC bacteria are derived (14). While this study did not determine the specific source of E. coli isolates, it is likely that the isolates from site 4 were from nearby combined sewer overflows or sewage treatment plant outfalls, implicating municipal wastewater as a potential source for E. coli pathotypes. Another interesting finding was the higher percentage of E. coli pathotypes carrying antimicrobial resistance genes at site 4. This may reflect the influence of human antibiotic use, again suggesting the importance of municipal wastewater as a potential source of antimicrobial-resistant E. coli pathotypes.
Fairly high percentages of E. coli isolates possessing defined pathotypes (27%) and of E. coli isolates carrying resistance genes (18%) were found at site 1, which was anticipated to be relatively unpolluted. Site 1 was several hundred meters out from the shoreline and away from obvious nearby fecal pollution point sources. While the site had low numbers of E. coli bacteria, the relatively high frequency of antimicrobial resistance was unexpected. It is possible that these E. coli bacteria in the nearshore waters were able to persist and be transported by alongshore currents from unknown human or agricultural sources.
While the lack of antimicrobial resistance genes was anticipated for site 2 (several kilometers offshore in Lake St. Clair), the relatively high frequency of intestinal E. coli pathotypes was unexpected. About 97% of the water entering Lake St. Clair comes from the St. Clair River, with the rest provided by the two watersheds on each side of the lake (32). The presence of the deep shipping channel that divides the lake encourages water to flow right through from the St. Clair River to the Detroit River without being retained. As a result, the lake's water is completely exchanged every 5 to 7 days (32). It is possible that the E. coli bacteria collected at site 2 were recently deposited from boat or bird sources (though the low occurrence of the tsh avian marker argues against the latter) or that they were able to persist and be transported relatively quickly offshore from fecal pollution sources, such as municipal wastewater outfalls in the St. Clair River.
The Thames River drains extensive agricultural lands in southern Ontario, and it was originally anticipated that site 3 might reflect a more agriculture-based fecal pollution influence. However, at the time of sample collection, water flow was very slow near the river mouth, and the environment immediately around the sampling location consisted more of marshes along the river banks than agricultural land runoff. It is possible that fecal pollution at the site might have originated from more local sources, such as birds and other wildlife species along the river banks, which would be consistent with the relatively high frequency of the tsh gene and the relatively low frequency of antimicrobial resistance genes found in E. coli isolates at this site. The tsh gene has been suggested as a possible marker for indicating the presence of fecal pollution from an avian source, like waterfowl (12, 26, 33). A number of studies have found E. coli bacteria from wildlife exhibiting relatively low prevalences of antimicrobial resistance compared to those from human or agricultural sources (10, 31).
Results showing that tet(A), tet(B), blaTEM, and sulII are the most abundant antimicrobial resistance genes (Table 6) are consistent with those for two other studies demonstrating similar antimicrobial gene occurrences in the environment (12, 31). In our study, 28% of the E. coli isolates that carried resistance genes showed the presence of a class 1 integron and also carried two or more antimicrobial resistance genes. Approximately similar numbers of E. coli isolates carrying resistance genes were found in all phylogenetic groups except for group D, which included only one isolate carrying a resistance gene (Table 4).
The phylogenetic classification of the E. coli isolates for our study showed a good agreement with those for other studies (14, 15). Table 4 clearly shows that there is a link between phylogenetic group and occurrence of virulence genes. Nonpathotype isolates were mostly in groups A and B1, whereas extraintestinal E. coli isolates were predominantly in phylogenetic group B2 and, to a lesser extent, group D. The difference between groups D and B2 was clearly shown, as group B2 contained only E. coli pathotypes (except for one isolate) and group D included both pathotype and nonpathotype E. coli. Furthermore, the results were consistent with our use of the classification "other ExPEC" pathotype, as these isolates mostly belonged to groups D and B2. Our results also confirmed certain findings reported by others, such as the presence of the sfa-foc operon only in the phylogenetic group B2 (3; data not shown). The high percentage of ExPEC belonging to the B2 phylogenetic group has also been observed in previous studies where these isolates were associated with both human and nonhuman mammalian extraintestinal infections (5).
The occurrence of isolates not classified as pathotypes yet possessing a subset of virulence genes could be explained by the high genome plasticity of E. coli. This plasticity exists due to the dynamic genetic exchange of virulence genes through plasmids, pathogenicity islands, and other mobile genetic elements. These genetic factors contribute to the rapid evolution of E. coli strains and to the formation of unusual virulence gene combinations that could potentially lead to the evolution of new pathotypes. Further studies are needed to verify whether some of these unusual patterns demonstrate pathogenicity in tissue culture or animal models.
In conclusion, we found ExPEC in diverse aquatic ecosystems and at all six locations that were sampled in the St. Clair River and Detroit River areas, using our microarray. There was considerable variation in the frequencies of virulence and antimicrobial resistance genes in E. coli isolates from the different sites. However, the occurrence of the highest frequency of E. coli bacteria with defined pathotypes in surface waters most likely affected by municipal wastewater sources underscores the importance of managing combined sewer and sanitary sewer overflows and sewage treatment plant effluents. Although ExPEC bacteria are commonly found as commensals in healthy humans (29), our finding that the majority of the E. coli pathotypes in aquatic ecosystems were ExPEC remains a potential public health concern, as E. coli bacteria of this pathotype are responsible for an estimated 40,000 deaths and expenditure of at least $2.6 billion annually in the United States alone (29). Therefore, our data clearly indicate a need to further investigate the occurrence of pathogenic E. coli, especially ExPEC, in source waters used for drinking, recreation, and irrigation in order to better understand the implications for public health.
Funding was provided by the Great Lakes 2020 program and the Canadian Water Network.
Published ahead of print on 3 November 2006. ![]()
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