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Journal of Clinical Microbiology, April 2002, p. 1164-1173, Vol. 40, No. 4
0095-1137/02/$04.00+0 DOI: 10.1128/JCM.40.4.1164-1173.2002
Copyright © 2002, American Society for Microbiology. All Rights Reserved.
Department of Bacterial Diseases, Division of Communicable Diseases and Immunology, Walter Reed Army Institute of Research, Silver Spring, Maryland,1 Division of Vector-Borne Infectious Diseases, National Center for Infectious Diseases, Centers for Diseases Control and Prevention, Ft. Collins, Colorado2
Received 14 December 2001/ Accepted 6 January 2002
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80, 86, and 91% similarities on dendrograms prepared from digitized PFGE, IS100 RFLP analysis, and IS285 RFLP analysis images, respectively. Our results demonstrate that PFGE offers an increased ability to discriminate between strains (Simpson's index of diversity, 0.98) and therefore can significantly improve epidemiological studies related to the origin of new plague isolates. |
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Recent emphasis on preparedness for biological terrorism threats (18) also led to renewed interest in examining Y. pestis, especially by methods that can determine the origin of the isolate. Classic methods have identified Y. pestis as comprising only one serotype, one phage type, and three biovars (27). These phenotypes provide limited information for tracing of the origin of the organism. Attempts at the establishment of a systematic method, including molecular biology-based techniques, of plague isolate classification have been under way, but the evaluation is incomplete. Recently, a variable-number tandem repeat (VNTR) technique (2) and ribotyping (14, 15) were used to type Y. pestis. The VNTR technique has a greater discrimination capacity than the ribotyping method, but strains from different areas were found to be identical types by the VNTR technique. Therefore, clinical laboratories have not routinely used any of the newly developed molecular biology-based techniques for plague surveillance (27).
Pulsed-field gel electrophoresis (PFGE), which separates DNA fragments upon digestion of the chromosome with restriction endonucleases that cleave infrequently (31), can facilitate a broad look at the whole genome of the organism. Although the method has been used to estimate the genome size and for detection of gross chromosome alterations (20, 30), it has not been used to systematically determine genetic relatedness between Y. pestis strains. It has also proved to be an effective method for qualitative evaluation of intraspecific genetic variation, permitting identification of individual isolates of a given species by comparison of their macrorestriction patterns (5).
Restriction fragment length polymorphism (RFLP) analysis provides information about the local genome environments of specific gene sequences on the basis of the probe used. Insertion sequence (IS) elements have been loosely defined as small (<2.5 kb), phenotypically cryptic segments of DNA with a simple genetic organization that are capable of inserting at multiple sites in a target molecule (21). ISs are involved in phenomena other than the acquisition of accessory functions. Many form an integral part of the chromosomes of most bacterial species to participate in chromosome rearrangements and promote plasmid integration. In contrast, some specific IS elements at defined places in the chromosome are sufficiently stable to allow them to be used as markers in RFLP analyses for species typing and epidemiological studies (21). Portnoy and Falkow (28) discovered an active IS element termed IS100, and Filippov et al. (11) discovered IS285. Both of these IS elements have been found in Yersinia spp. and thus were useful genetic markers for the typing of Y. pestis (1, 8, 11, 22). The utility of IS elements for the typing of Y. pestis is further suggested by the fact that this species contains more copies of IS elements than enteropathogenic Yersinia strains do (22).
The present project focused on the epidemiological investigation of the genetic variabilities of well-documented U.S. isolates of Y. pestis by PFGE and by RFLP analysis with IS100 and IS285 as probes. The recent infections with the biological warfare agent Bacillus anthracis have underscored the need to perform epidemiological studies with potential agents of biological terrorism. We compared our results with those obtained by the previously established method of ribosomal DNA (rDNA) restriction pattern typing (ribotyping) (14, 15). The group of isolates that we chose is particularly useful because the isolates were predominantly obtained from New Mexico and represent isolates obtained from similar regions during different years as well as from different regions of the state. Accordingly, the results of this project will give a clearer picture of the natural genomic variations among closely related strains of Y. pestis isolated in a local area of the United States and as such satisfies the need to test our typing method with a homogeneous group of strains (34). The determination of natural genetic variation and the development of genotyping methods for the comparison of isolates of Y. pestis may be useful for surveillance for potential newly emerging strains and determination of the origins of particular isolates.
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TABLE 1. Y. pestis isolates and characteristics
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DNA digestion and transfer. Y. pestis DNA for restriction digestion was also prepared from agarose plugs, as described above. The DNAs were digested with EcoRI or EcoRV overnight at 37°C and probed with 16S and 23S rDNAs (ribotyping) by the method described by Guiyoule et al. (14). RFLP analyses were carried out with HindIII-digested DNA in analyses with IS100 as the probe and EcoRI-digested DNA in analyses with IS285 as the probe. These restriction enzymes were selected because they do not cleave within IS DNA. The sample DNA was digested overnight at 37°C before it was loaded in a 0.7% agarose horizontal gel and subjected to electrophoresis for 15 h at 40 V in 1x TBE. Transfer of fractionated DNA onto nylon membranes was done by the method of Southern (32).
Preparation of probes and hybridization. The 16S rDNA- and 23S rDNA-specific probes and the IS100 DNA- and IS285 DNA-specific probes were obtained by PCR amplification of Y. pestis KIM5 genomic DNA. The sequences of the primers used to amplify the 16S rDNA were AGTTTGATCATCGCTCAG (primer 8F) and CCATGGCGTGACGGGCAGTGTG (primer 1448R), as described previously (36). Other primers were chosen by use of the DNAStar software package (Lasergene, Madison, Wis.). The 23S rDNA primers sequences were CCGGCGAGGGGAGTGAAATAAATAGAA (primer 1623s 4) and TTTAAGCCCCAGGGAGACTCAT (primer 1623s5). The IS100-specific primer sequences were GCGCTGGCTGCACGATGTC (primer IS100-1) and CCCGAACGGCAGATTGGATGTC (primer IS100-2). The IS285-specific primers sequences were TTGCGGCTGAACTGGCTAAAG (primer IS285-1) and TAATAAAACGGCTCATCGCTAACC (primer IS285-2). Probes were labeled with alkaline phosphatase by use of a Gene Images AlkPhos Direct labeling and detection system (Amersham Pharmacia Biotech, Arlington Heights, Ill.). All hybridization processes were as described by the manufacturer. Briefly, the AlkPhos Direct hybridization buffer was prepared by adding NaCl to 0.5 M and blocking reagent to a final concentration of 4% (wt/vol). Prehybridization of blots was for at least 15 min at 55°C (0.125 to 0.25 ml of buffer/cm2 of membrane). Probe (5 to 10 ng/ml) was added, and hybridization was allowed to occur overnight at 55°C with gentle agitation. After hybridization, the membranes were washed with 55°C prewarmed primary wash buffer (2 M urea, 0.1% sodium dodecyl sulfate, 50 mM sodium phosphate, 150 mM NaCl, 1 mM MgCl2, 0.2% blocking reagent) twice for 10 min each time at 55°C. Final washes of the membranes were with secondary wash buffer (50 mM Tris base, 100 mM NaCl, 2 mM MgCl2 [pH 10.0]) twice for 5 min each time at room temperature. After the blots were washed, they were drained and developed by addition of CDP-Star detection reagent (30 to 40 µl/ml; Amersham Pharmacia Biotech) for 2 to 5 min at room temperature. The blots were wrapped in polyvinyl wrap and were exposed to Hyperfilm (Amersham Pharmacia Biotech). In this RFLP experiment the genotyping criteria depended on the band positions. In this study a strain with a shift, deletion, or addition of one band compared to the pattern for all other strains was considered to be a different RFLP type, as reported previously (33).
Computer-monitored fingerprinting analysis. Computer analysis of the banding patterns obtained by PFGE and RFLP analyses with both IS100 and IS285 as probes was done with the BioNumerics software package (Applied Maths, Kortrijk, Belgium). The PFGE and RFLP banding patterns of all Y. pestis organisms were normalized by using a laboratory strain, Y. pestis KIM5, as the external standard. The images analyzed included three reference lanes with the external standard strain, Y. pestis KIM5. All images were compatible with one another after normalization, and complete PFGE or RFLP patterns were used for analysis. In general, bands were automatically assigned by the computer and were corrected manually after the original images were checked by eye. Only clearly resolved bands were counted. The Dice coefficient was used to analyze the similarities of the banding patterns. The unweighted pair group method with average linkages (UPGAMA) was used for cluster analysis. A slightly different position tolerance to allow 100% matching of the banding patterns obtained with duplicate samples on different images was selected for each method. The cophenetic correlation coefficient for the whole dendrogram was calculated for estimation of the faithfulness of the cluster analysis, using the BioNumerics software.
Discriminatory power analysis.
The discriminatory powers of the PFGE and RFLP techniques were evaluated by use of Simpson's index of diversity (discrimination index [D]), as defined by Hunter and Gaston (16), which was used as described previously (7). This index expresses the probability that two unrelated strains will be placed into different typing groups. D depends on the number of types defined by the test method and the relative frequencies of these types: D = 1 - {[(1/N) (N - 1)] x [
nj (nj - 1)]}, where N is the total number of unrelated strains and isolates, and nj is the number of strains and isolates that belong to the jth type.
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FIG. 1. Dendrogram derived from RFLP analysis with IS100 as a probe. HindIII-digested chromosomal DNAs of the 37 U.S. Y. pestis strains and isolates were hybridized with IS100 as the probe. The percent similarity scale is shown above the dendrogram. The Dice coefficient was used to calculate similarities, and UPGAMA (see Materials and Methods) was used for cluster analysis with BioNumerics software. The patterns are ordered from least similar to most similar (bottom to top). The IS100 RFLP types are marked with numbers. The position tolerance was 1.8%. The identification numbers and origins of the U.S. strains and isolates are listed on the right. The asterisk beside the designation for one strain indicates that no information on the specific location in New Mexico was available. The external standard was strain Y. pestis KIM5, which was used as an outgroup.
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FIG. 2. Dendrogram derived from RFLP analysis with IS285 as a probe. EcoRI-digested chromosomal DNAs of the 37 U.S. Y. pestis strains and isolates were hybridized with IS285 as the probe. The percent similarity scale is shown above the dendrogram. The Dice coefficient was used to calculate similarities, and UPGAMA (see Materials and Methods) was used for cluster analysis with BioNumerics software. The IS285 RFLP types are marked with numbers. The patterns are ordered from least similar to most similar (bottom to top). The position tolerance was 1.8%. The identification numbers and origins of the strains and isolates are listed on the right. The asterisk beside the designation for one strain indicates that no information on the specific location in New Mexico was available. The external standard listed was strain Y. pestis KIM5, which was included as an outgroup.
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48.5 and 339.5 kb. The profiles of the 37 U.S. isolates showed that they had similar major patterns (Fig. 3), but minor changes differentiated almost each individual strain even when the strains were recovered from the same local area and during the same year. Among the 37 U.S. isolates there were a total of 26 genotypes, in which each genotype had at least one band that was different from the band patterns of the other genotypes. The gels usually contained some weak or overlapping bands that we ignored for our analysis. We used only sharp and clearly visible bands for this analysis. Our electrophoresis conditions allowed identification of approximately 25 bands (
48.5 to about 339.5 kb) that were useful for scoring and computer analysis. The dendrogram generated by computer-aided genotype analysis based on the PFGE patterns of all of the U.S. isolates showed
80% similarity by use of the Dice coefficient (Fig. 3). Among all 37 U.S. isolates, five clusters (designated clusters I, II, III, IV, and V) of isolates that shared over 90% similarity were found (Fig. 3). The first cluster (cluster I) contained 15 isolates, all of which were isolated from New Mexico between 1961 and 1998. However, those isolates were obtained from different areas of New Mexico such as Santa Fe, Bernalillo, Rio Arriba, and Cibola. Four New Mexico isolates that came from the same parent strain were found to be in cluster II (Fig. 3). These four isolates are subcultures of strain NM98-2993org. Cluster III included three strains, with one strain isolated from Apache, Ariz., in 1970; one strain isolated from Bernalillo N.M., in 1966; and one strain isolated from Bernalillo, N.M., in 1985. The two New Mexico strains in cluster III shared 100% similarity, even though they were isolated in different years. Cluster IV contains four isolates; three of them were obtained from Santa Fe, N.M., and one was obtained from Bernalillo, N.M., between 1995 and 1997. Two of the isolates in cluster IV have the same parent (Fig. 3). Cluster V contains two isolates obtained in Colorado in 1996 and one strain isolated in New Mexico in 1998. The other eight strains did not fit in any of the five clusters at similarity values
90%. Four nonclustered strains were from different areas of New Mexico. Among these four strains, one strain was recovered from San Miguel in 1983 (NM83-0854), one was recovered from Bernalillo in 1959 (NM59-Benz), one was recovered from Albuquerque in 1998 (NM98-0152), and one was recovered from McKinley in 1987 (NM87-2007). Two strains isolated in Colorado (strains CO99-1214 and CO99-1133), one strain isolated in Texas, and one strain isolated in California (strain A1122) could not be clustered by use of the criteria established in the present study. The external standard strain, strain KIM5 (from Iran), had its own genotype and shared only 65% similarity with the U.S. strains. The cophenetic correlation value is 88 for the dendrogram derived from PFGE.
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FIG. 3. Dendrogram derived from digitized PFGE patterns for the 37 U.S. Y. pestis strains and isolates whose chromosomal DNAs were digested with SpeI and constructed by similarity and clustering analysis by use of the Dice coefficient and UPGAMA (see Materials and Methods) with BioNumerics software. The percent similarity scale is shown above the dendrogram. The patterns are ordered from least similar to most similar (bottom to top). The PFGE types are marked on the left with numbers, and the clusters with a cutoff value at 90% similarity are marked on the right with roman numbers. The position tolerance was 1.1%. The identification numbers and origins of the U.S. strains and isolates are listed on the right. The asterisk beside the designation for one strain indicates that no information on the specific location in New Mexico was available. The external standard was strain Y. pestis KIM5, which was included as an outgroup.
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Ribotyping profiles of Y. pestis isolates from the United States. In order to compare the RFLP and PFGE typing methods with the established ribotyping method (14), both 16S rDNA and 23S rDNA sequences were amplified from the Y. pestis KIM5 chromosome as described in Materials and Methods. The two probes were mixed and hybridized with EcoRI- and EcoRV-digested Y. pestis chromosomal DNAs from our group of 37 U.S. strains and isolates. The ribotype patterns of all U.S. strains belonged to ribotype B, as defined previously (14). Accordingly, we found ribotyping to be far less specific than PFGE or even IS-based RFLP analysis.
Relationship between PFGE profiles and RFLP profiles with IS100 and IS285 probes. In order to know the ability of each of the three methods to differentiate between the strains and isolates, we calculated the D values. D has been used for evaluation of the discriminatory abilities (7, 15) of typing systems. The information used to calculate the D value and the results are shown in Table 2. PFGE typing proved to be the most discriminatory method (D = 0.98), followed by IS100 RFLP typing (D = 0.78). IS285 RFLP typing showed lowest the discrimination power (D = 0.38).
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TABLE 2. Comparison of discrimination powers of PFGE, IS-based RFLP, and ribotyping of U.S. Y. pestis strains and isolates
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In the present study, we used RFLP analysis and PFGE to type 37 U.S. Y. pestis strains and isolates. Since the genetic variability detected by IS285 RFLP analysis is very low, we do not consider it to be a good method for tracing of the origins of Y. pestis strains. IS100 RFLP analysis divided 37 U.S. strains and isolates into 16 types, with >43% of the isolates belonging to type 1. We used the restriction enzyme HindIII, which does not cleave within IS100. However, only four types were found in our primary study when we used EcoRV (data not shown), which has previously been used for IS100 RFLP analysis of Y. pestis (22). Our division of Y. pestis into more IS100 RFLP types may reflect the fact that HindIII does not cleave within the IS and is more appropriate for epidemiological studies. The IS100 and IS285 copy numbers in Y. pestis CO92 (a strain whose origin and time frame of collection are similar to those of our strain collection) are 44 and 21, respectively (26). However, the Southern blotting results showed only
20 visible bands for IS100 and
12 visible bands for IS285. These results may be caused by the comigration of bands or the presence of smaller bands (<2 kb), which were not resolved by the electrophoresis conditions used in our study.
Of all the methods that we tested, PFGE profiling showed the highest degree of variability in patterns since we observed 26 genotypes among the 37 U.S. strains and isolates. This resulted in the highest D value (D = 0.98) among the methods that we tested (Table 2). The majority of the isolates tested by PFGE had unique patterns even if they came from the same area and were recovered in the same year (Table 1 and Fig. 3). In most cases, identical PFGE patterns were observed only for isolates from the same strain; i.e., the colonies were isolates of one parent strain. However, a few strains from different parents still shared 100% identity if they were isolated in the same local area during the same year or during different times but from the same area (Fig. 3). The observation of identical genotypic patterns for different strains suggests that those strains came from the same source.
Strains and isolates that came from different states sometimes clustered together. For example, the clustering of strains in cluster III and cluster V (Fig. 3) suggested that geographic relationships exist between strains from Arizona and New Mexico and strains from New Mexico and Colorado, respectively. This result may suggest that a limited number of rearrangements occur within the Y. pestis genome and that these generate particular restriction patterns. Alternatively, these results may be due to the close geographic proximities of these states. However, the fact that the Y. pestis KIM5 strain from Iran, the external standard, showed much less similarity with U.S. strains supports the idea that the geographic relationship is correlated with the PFGE genotype. Interestingly, strains NM96-3002, NM96-3404, and NM96-2970 shared the exact same PFGE and RFLP patterns and were isolated in the same year and from the same local area, Bernalillo, N.M. These isolates were obtained from a flea pool and rodent and human sources, respectively, and may represent a cycle of plague in an area of endemicity. Accordingly, it is likely that these three strains were epidemiologically related. Taken together, our results generally indicate that the genetic variability of Y. pestis isolates observed by PFGE is related to the geographic distance of the strains. The mechanism of genomic plasticity that we observed remains unclear. However, the recent completion of the Y. pestis CO92 genome sequence suggests that this variability in restriction patterns may at least partially be due to inversion between ISs (26).
Our results also suggest that Y. pestis genotypic patterns may develop independently from each other. This was indicated by the fact that several isolates from the same region displayed relatively low levels of homology with each other. For example, we found that strains isolated from Santa Fe, N.M., were included in four of the five major PFGE clusters identified here (Fig. 3). Furthermore, one strain isolated from Santa Fe, N.M., in 1998, strain NM98-2252, was one of the strains that could not be grouped by PFGE with other strains from New Mexico. One possible explanation for these findings can be found in the life cycle of endemic plague in the United States. Plague is normally found in prairie dog colonies in the western United States. Generally, humans become infected following exposure to environments contaminated with infected prairie dog fleas. The transmission and spread of plague within prairie dog colonies are not well understood (3), but our results indicate that there has been little homogenization of the Y. pestis genome within the natural environment or life circle. Further studies will be required to determine the environmental factors that control the genotypic changes observed in different Y. pestis strains.
In contrast to the PFGE results reported previously (14), our PFGE results indicate that the chromosomal rearrangement rate is not obviously elevated during short-term laboratory maintenance since the subculture of the same parent strain always revealed exactly the same RFLP and PFGE patterns. Our findings agreed with the results obtained by VNTR analysis reported previously (2), in which low rates of mutation were shown by VNTR analysis during laboratory maintenance. However, recent PCR experiments (26) for examination of inversion of chromosomal regions between IS elements indicate that these regions do invert during short-term growth of Y. pestis. This indicates that the Y. pestis genome is fluid on a short-term scale but that these inversions may not be detected at the level of analysis achievable by PFGE, RFLP analysis, or VNTR analysis. Our observation that variations of smaller restriction fragments (e.g., HindIII and EcoRI digestion for RFLP analysis or ribotyping) are less than those of larger restriction fragments (e.g., SpeI digestion for PFGE) supports the idea that rearrangement of large genomic regions occurs in Y. pestis.
Y. pestis is closely related to Y. pseudotuberculosis at the DNA level and has even been thought to be a clone that evolved from Y. pseudotuberculosis (1). However, the numbers of IS elements harbored in the two species are very different. Specifically, Y. pestis carries significantly more copies of IS elements than Y. pseudotuberculosis (22, 24). IS elements of pathogenic bacteria have been reported to involve control of functions associated with virulence and immunogenicity (6) and may affect the stability of Y. pestis DNA (11, 25). Although the mechanism of genomic diversity remains unclear, our results as well as the results of others (23) indicate that the Y. pestis chromosome is generally unstable at the macrorestriction level. This genetic diversity may be useful for precise determination of the origin of a particular strain. For instance, our PFGE and IS100 RFLP patterns showed that strains isolated from the same local area and during the same year shared 100% similarity but that most other individual strains displayed unique patterns by PFGE (Fig. 1 and 3).
In conclusion, our results demonstrate that PFGE is able to resolve differences between most Y. pestis strains. PFGE offers significantly greater specificity than IS-based RPLP analysis techniques. Given the high degree of restriction fragment instability in the genome demonstrated here and the low level of nucleotide variability in individual genes of Y. pestis (1, 25), a technique such as PFGE will be best suited for the differentiation and analysis of new isolates. The combination of a technique such as PFGE, which analyzes the genotype of Y. pestis at the whole genome level, with a technique that analyzes regions of more limited variability may enhance our ability to trace the origins of strains. Further studies will be required to test this possibility.
This work was supported by the U.S. Army Medical Research and Material Command.
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