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Journal of Clinical Microbiology, June 2006, p. 2084-2092, Vol. 44, No. 6
0095-1137/06/$08.00+0 doi:10.1128/JCM.02618-05
Copyright © 2006, American Society for Microbiology. All Rights Reserved.
Yersinia Research Unit, National Reference Laboratory and WHO Collaborating Center for Yersinia, Institut Pasteur, 75724 Paris Cedex 15, France
Received 16 December 2005/ Returned for modification 1 February 2006/ Accepted 24 March 2006
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Plague is considered a reemerging disease (27). This is due to the rise in human plague cases since the beginning of the 1990s and the reappearance of the disease in countries where no cases where reported for several decades, such as in the Northern seaport of Majunga in Madagascar in 1991 (26), in India (25) and Mozambique (4) in 1994, in Zambia in 1996 (30), and recently, in Algeria in 2003 (32). Whether these outbreaks were due to the reactivation of quiescent autochthon plague foci or were imported from distant countries by modern means of transportation is a question of key importance for the implementation of appropriate and efficient control measures. Having a molecular tool which could cluster Y. pestis strains based on their geographical focus, even when isolated at intervals of several years, would be of great help to answer this question. Furthermore, Y. pestis has been categorized as one of the major bacterial agents of bioterrorism (category A) (17). Having the possibility to trace an isolate that has been used as a biological weapon would also be critical.
Y. pestis has been shown to be a clone of Yersinia pseudotuberculosis that emerged less than 20,000 years ago (2). This recent clonal expansion accounts for the limited phenotypic and genetic diversity observed in this species. Phenotypically, the ability to ferment glycerol and to reduce nitrates to nitrites led to the subdivision of Y. pestis into three biovars: Antiqua, Medievalis, and Orientalis (10). Today, most of the strains isolated worldwide belong to biovar Orientalis, the biovar that spread globally from Hong Kong in 1894 during the third plague pandemic. The two other biovars have a geographically restricted distribution: Medievalis in Asia and Antiqua in some parts of Africa and in Central Asia. Y. pestis also displays a very low degree of genetic polymorphism. An analysis of six housekeeping genes by multilocus sequence typing demonstrated a complete lack of nucleotide polymorphism among 36 strains belonging to the three biovars and isolated from various countries at different times (2). A recent comparison of the three available Y. pestis genome sequences confirmed the very low genetic diversity of this species: as few as 80 synonymous single-nucleotide polymorphisms were detected among 3,250 orthologous coding sequences (1).
Despite the very high degree of conservation at the gene level, the genotypic subdivision of the species Y. pestis has been possible. Techniques using variations in the number of repeated sequences, usually located in noncoding chromosomal regions, such as variable-number tandem repeats (3), clustered regularly interspaced short palindromic repeats (24), or intergenic spacer sequences (11), have successfully allowed the discrimination of strains within the same biovar. Another group of techniques, including ribotyping (13) and pulsed-field gel electrophoresis (PFGE) (19), uses the restriction fragment length polymorphism (RFLP) generated by the high genome instability of Y. pestis (13, 22) to subdivide the species.
This genome instability is in large part attributable to the presence of multiple copies of insertion sequences (IS) scattered over the Y. pestis genome (9, 22, 29). Insertion sequences are simple genetic elements which can insert at multiple sites in a bacterial genome. Recombination between these IS may lead to chromosomal macro-rearrangements (20). The most numerous ISs are IS100 (30 to 44 chromosomal copies on the three Y. pestis sequenced genomes), IS1541 (43 to 62 copies), and IS285 (18 to 20 copies) (9, 22, 29). Variations in the chromosomal location of IS100 have been used to study the microevolution of Y. pestis (1, 21). Furthermore, RFLP analyses using one of these IS as a probe (IS-RFLP) have been applied to subtype Y. pestis (6, 15, 28). IS100-RFLP discriminated strains isolated from the same country (United States) more efficiently than IS285-RFLP, but both techniques were found to be inferior to PFGE for this purpose (15).
The aim of this work was to evaluate and compare the potential of each of the three IS-RFLP techniques (IS100-, IS285-, and IS1541-RFLP), individually or in combination, to define clusters of strains according to their focus of origin.
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View this table: [in a new window] |
TABLE 1. Characteristics of the 61 strains of Y. pestis analyzed by IS-RFLP
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Preparation of IS probes and hybridization. For IS fingerprinting, three sets of primers were designed and used to amplify a portion of the insertion sequences: IS100-F, 5'-AAAACGTTCGAAGAGTATGA-3'; IS100-R, 5'-GATGAGCAGGCGGGGGGCCA-3' (255 bp); IS1541-F, 5'-AAAGCTTTCAGCTTTGGGTC-3'; IS1541-R, 5'-TCTTTCCCTTCAGGTACCCC-3' (319 bp); IS285-F, 5'-AGCTTACCGAACACCTCGGG-3'; IS285-R, 5'-GTTGATGCCCAGCGCTAGGA-3' (406 bp). The PCR amplification reactions were performed on the genomic DNA of Y. pestis strain IP304 as a template in a final volume of 50 µl with 1.25 U of Taq DNA polymerase (Roche/Cetus) used with the supplier's buffer, 2 mM MgCl2, and 200 µM concentrations of each of the four deoxynucleoside triphosphates. All primers were used at a final concentration of 1 µM. Each reaction involved a denaturing step at 94°C for 3 min, 25 cycles of amplification consisting of three steps each of 1 min at 94°C, 55°C, and 72°C, and a final extension step of 10 min at 72°C. PCR products were subjected to electrophoresis in 0.7% agarose gels and stained with ethidium bromide. The three IS probes were peroxidase labeled using the ECL direct nucleic acid labeling and detection system (Amersham) and used for Southern hybridization overnight at 42°C.
Bioinformatic analysis of IS-RFLP patterns.
The hybridization patterns obtained with each IS were scanned, and the computerized data were analyzed using the BioNumerics software, version 4.0 (Applied Maths, Kortrijk, Belgium). Bands automatically assigned by the computer were checked visually and corrected manually when necessary. A position tolerance of 1.8 was selected for each of the three IS. Cluster analysis of the individual or combined IS-RFLP patterns was done by the unweighted pair group method with average linkages (UPGMA), using the Dice coefficient to analyze the similarities of the banding patterns. The discriminatory power of each IS-RFLP was determined by calculating the discrimination index (D) based on Simpson's index of diversity (16). D depends on the number of types defined by the test method and the relative frequencies of these types: D = 1 {[(1/(N x (N 1)))] x [
nj (nj 1)]}, where N is the total number of unrelated isolates, and nj is the number of strains that belong to the jth type. Two IS profiles were considered identical when their percent similarity was >98%.
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FIG. 1. Examples of IS-RFLP profiles obtained after digestion and hybridization of the genomic DNA of various Y. pestis strains with each IS probe. Lanes: 1, IP304 (used as an intra- and intergel standard); 2, IP696; 3, IP685; 4, IP677; 5, IP666. Tick marks on the left indicate the sizes of the molecular mass markers (lambda DNA HindIII digest) in kilobases. Rectangles correspond to the size windows chosen for the analysis of the hybridization profiles for each IS. Arrows on the right indicate a hybridizing plasmid band (from pYV for IS100 and pFra for IS285).
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pgm derivative (data not shown). However, since this fragment is not in the size window selected, the instability of the pgm locus had no effect on the IS100-RFLP pattern. The reproducibility of the clustering was evaluated by comparing the position on the UPGMA dendrograms of 12 Y. pestis strains studied independently (DNA extraction, digestion, migration, preparation of probes, and hybridizations) by two different investigators at intervals of several months. The same strains studied independently always fell into the same clusters with each IS-RFLP method.
IS100-RFLP profiles. When IS100-RFLP was applied to the 61 Y. pestis strains analyzed, 47 profiles were identified (Table 1), leading to a discrimination index of 0.987. No dominant IS100 profile was noted. As previously observed (2), the three biovars formed distinct clusters in the UPGMA dendrogram (Fig. 2). The weight of the biovar was superior to that of the geographic origin in the clustering analysis. For instance, the three strains from Belgian Congo were separated into the Antiqua and Orientalis branches, although they were isolated from the same country. The same held true for the two strains from Turkey (biovar Medievalis and Orientalis) (Fig. 2). For the Orientalis strains, which are found worldwide because of their recent global spread, no strong geographical clustering was achieved by IS100-RFLP (Fig. 2). Nonetheless, a tendency of the strains from the same country to be grouped into some subbranches was sometimes observed. This was the case for all the strains from Brazil and Namibia, which were grouped in cluster a1, while cluster a2 contained all the isolates from Germany (Fig. 2). In several instances, strains isolated the same year from the same region, such as those from Burma in 1970, Hamburg (Germany) in 1952, Saigon (Vietnam) in 1955, Exu (Brazil) in 1967, and Surat (India) in 1994 displayed highly similar or identical IS100 types (Table 1 and Fig. 2).
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FIG. 2. Dendrogram generated from the IS100-RFLP patterns of the 61 Y. pestis strains studied using the UPGMA clustering analysis with the BioNumerics software. A position tolerance of 1.8% was chosen. Dotted rectangles outline clusters of strains of interest. A, Antiqua branch; M, Medievalis branch; O, Orientalis branch.
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FIG. 3. Dendrogram generated from the IS285-RFLP patterns of the 61 Y. pestis strains studied using the UPGMA clustering analysis with the BioNumerics software. A position tolerance of 1.8% was chosen. Dotted rectangles outline clusters of strains of interest. A, Antiqua branch; M, Medievalis branch; O, Orientalis branch.
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FIG. 4. Dendrogram generated from the IS1541-RFLP patterns of the 61 Y. pestis strains studied using the UPGMA clustering analysis with the BioNumerics software. A position tolerance of 1.8% was chosen. Dotted rectangles outline clusters of strains of interest. A, Antiqua branch; M, Medievalis branch; O, Orientalis branch.
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Combination of three IS-RFLP profiles. When the data obtained with the three IS-RFLP techniques were combined (3IS-RFLP), strain discrimination became extremely efficient (D = 0.999). Only two pairs of strains displayed identical 3IS-RFLP patterns (Table 1 and Fig. 5). The three biovars formed three distinct main branches on the UPGMA dendrogram. The Antiqua branch split into two subbranches, and interestingly, the two isolates from Belgian Congo clustered into the same Antiqua subbranch (Fig. 5). Similarly, in the Medievalis branch, the five isolates from Kurdistan were much more closely related to each other than to the Turkish strain. Most importantly, within the Orientalis branch, the majority of the subbranches typified the geographic origin of the strains: all Namibian isolates were in cluster d1, all but one (IP532) strain from Southeast Asia were in cluster d2 (with a subdivision of this cluster into two subbranches corresponding to the Vietnamese and Burmese isolates), all Brazilian isolates were in cluster d3, all strains from West Africa were in cluster d4 (with the two strains from Morocco and the two from Senegal being into distinct subbranches), and all strains from the United States were in cluster d5 (Fig. 5). Furthermore, cluster d6 contained the two strains from Surat (India), and cluster d7 contained the three strains from Germany. Single Orientalis strains from a given country (Turkey, Belgian Congo, Algeria, and South Africa) were scattered in the dendrogram. Madagascar was the only focus for which no marked strain clustering was observed. The three most recent isolates from this country were grouped in cluster d8, while the four others were in different subbranches (Fig. 5).
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FIG. 5. 3IS-RFLP dendrogram. This dendrogram was generated after combination of the three individual RFLP patterns (IS100, IS285, and IS1541). Dotted rectangles indicate clusters of strains of interest. A, Antiqua branch; M, Medievalis branch; O, Orientalis branch.
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IS-RFLP and Y. pestis microevolution. The Antiqua and Medievalis biovars have a specific geographic distribution. The Medievalis plague focus is situated in Central Asia. Two main Antiqua plague foci exist, one in Central Asia and the other one in Central Africa. It has been recently shown that these two Antiqua foci belong to two distinct evolutionary branches termed 1.ANT and 2.ANT, respectively (1). Only the African branch (1.ANT) was studied here because almost all of the Antiqua isolates in our strain collection belong to this branch. We found that, as previously observed (2), IS100-RFLP grouped Y. pestis strains based on their biovar. This study further shows that IS285-RFLP allowed the clustering of the three classical Y. pestis biovars in independent parts of the dendrogram. In contrast, this grouping was less effective with IS1541-RFLP. The biovar-based clustering became even more pronounced when the IS100/IS1541-RFLP or 3IS-RFLP combinations were used. Therefore, IS-RFLP techniques may be useful for the analysis of Y. pestis microevolution.
IS-RFLP and Y. pestis tracing. The primary and major aim of this study was to determine whether various IS-RFLP techniques, used individually or in combination, could efficiently group Y. pestis strains according to their geographical focus. For the Antiqua and Medievalis strains, since they have a specific and precise geographical distribution, the simple determination of their biovar may be sufficient to identify their main focus of origin. This is clearly different for biovar Orientalis strains which are now the most commonly isolated Y. pestis strains worldwide because of their global spread during the third pandemic. The major challenge was thus to identify a technique which could cluster strains within the Orientalis group according to their geographical foci. When the three IS-RFLP techniques were used individually, some degree of geographical clustering was observed with each technique, but none gave reliable and satisfactory results. IS100-RFLP displayed nonetheless a slightly better clustering capacity than the other two IS-RFLPs. A two-by-two combination of the IS-RFLP techniques significantly improved the geographical clustering of the Orientalis strains. The least effective combination was IS1541/IS285-RFLP, while the two others were comparable, with a slight advantage for IS100/IS1541-RFLP. With a combination of the three IS-RFLP methods, a clear clustering of most of the Orientalis strains according to their geographic origin was obtained. Indeed, strains from the Namibian, Southeast Asian (Burma and Vietnam), U.S., Brazilian, and North East African (Morocco and Senegal) foci each formed distinct clusters. One exception was the strains from Madagascar, which were found in different clusters. However, it is noteworthy that the three strains that were grouped in a single cluster (d8) were recent isolates (1989 to 1992) from the same region (Ambositra). The other Malagasy strains were more ancient (1946 to 1969) and were isolated from different regions of the island. This indicates that the clustering potential of 3IS-RFLP may not be limited to distantly related foci but may also be applicable at a regional or local scale. One possible reason for the greatest IS-RFLP diversity of the Malagasy isolates, compared to the other isolates worldwide, may be that Madagascar is one of the most active plague foci in the world, and therefore, the higher rate of bacterial generations has allowed a faster accumulation of genetic diversity in the strains from this country.
The 3IS-RFLP dendrogram displayed a clustering of the strains by country or geographical focus but not by continent. For instance, the Namibian and Southeast Asian clusters were closer to each other than to the other clusters from Africa or Asia. This can be explained by the fact that a single Y. pestis clone (biovar Orientalis and ribotype B) spread over the world in a short period of time during the third pandemic. Most of the current Orientalis plague foci worldwide result from the establishment and local spread of the original strain imported by steamships at the end of the 19th century (23). However, no large extension of these foci over a continent has been reported. Each focus evolved independently from the others regardless of the continent where they became established.
Tracing of Y. pestis may be important to implement appropriate public health measures when a plague outbreak occurs in a country after several decades of silence. Indeed, if the epidemic clone has been imported, a better control at the frontiers may be necessary. In contrast, if the outbreak results from the resurgence of a local and transiently dormant focus, the national surveillance and control system needs to be reactivated. For instance, when plague reemerged in India in 1994 after almost 30 years of silence, it was not clear whether the causative agent was of local or foreign origin. The ribotype (S) of the strains isolated during the 1994 pneumonic outbreak in Surat was different from the classical ribotype B found in an older strain (Bombay 195) isolated in India in 1908 (25). The recent and older Indian strains also had different pulsotypes (unpublished data). The results of the 3IS-RFLP analysis performed here demonstrate that the two strains recently isolated in Surat have identical 3IS types, confirming that they both derive from the epidemic clone which caused the pneumonic outbreak of 1994. These results also confirm that the Bombay and Surat strains are different clones. However, the fact that the three Indian strains are found in the same higher-order branch (which includes clusters d5 and d6 and additional strains) may suggest that, despite the 88 years which separated their isolation, the strains from Bombay and Surat are related.
Although the plague arrived with steamships in numerous harbors over the world during the third pandemic, it did not systematically form permanent foci. In the seaport of Hamburg, for instance, the disease was imported during the 20th century but did not become established. The 3IS-RFLP analysis of the isolates from Hamburg grouped them into the same cluster, supporting the hypothesis that all three originated from the same focus. Furthermore, the fact that these strains clustered with a strain from Argentina suggests either that this country was the source of the imported strains in Germany or that a same clone of unknown origin was imported simultaneously in both countries.
The application of IS-RFLP techniques to the analysis of global isolates of Y. pestis has shown that this tool has a high discriminatory power and can thus be used for molecular typing of this species. For this purpose, IS100/IS1541-RFLP and 3IS-RFLP are the most appropriate techniques. This study also indicates that the IS100 and IS285 fingerprints reflect the divergence of the species into the three classical biovars and, therefore, that not only IS100 but also IS285 could be useful for the study of the microevolution of Y. pestis. But the major goal of this work was to determine whether IS-RFLP, individually or in combination, would be applicable to the identification of the origin of an unknown isolate. Our results indicate that 3IS-RFLP may indeed be a powerful tool to trace Y. pestis strains, even within the Orientalis group, which had only a short period of time (one century) to diverge from the original clone. We now dispose of a database of global Y. pestis isolates in which any new strain may be incorporated and compared with those of known geographic origin. In the future, this database will need to be enlarged and enriched with isolates as varied as possible (including pestoides/microtus strains [branch 0] and Antiqua strains from Asia [branch 2.ANT]) to reflect the most accurately the global diversity of the species. Altogether, the results of this study show that 3IS-RFLP may be of great utility when plague reemerges in an ancient focus to help determine whether the disease has been imported or results from the reactivation of the ancient local focus. It may also be valuable when plague cases appear in a previously plague-free region, to identify the source of importation. Finally, this technique may also prove useful for the tracing of a Y. pestis isolate used as a biological terrorism threat.
We thank Mark Achtman for critical reading of the manuscript.
Supplemental material for this article may be found at http://jcm.asm.org/. ![]()
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