Previous Article | Next Article ![]()
Journal of Clinical Microbiology, March 2009, p. 636-644, Vol. 47, No. 3
0095-1137/09/$08.00+0 doi:10.1128/JCM.01192-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.

Centro Nazionale di Referenza per la Tubercolosi Bovina, Istituto Zooprofilattico Sperimentale Lombardia e Emilia-Romagna, Via Bianchi 9, 25124 Brescia, Italy,1 Istituto Zooprofilattico Sperimentale del Piemonte, Liguria e Valle d'Aosta, Via Bologna 148, 10154 Turin, Italy,2 Department of Infectious Diseases, University of Torino, Corso Svizzera 164, 10149 Turin, Italy,3 Istituto Zooprofilattico Sperimentale delle Venezie, Viale dell'Università 10, 35020 Legnaro (PD), Italy4
Received 24 June 2008/ Returned for modification 15 August 2008/ Accepted 7 January 2009
|
|
|---|
|
|
|---|
As a result, the official TB-free status was achieved starting from 1970 in some Italian areas such as the Autonomous Region of Trentino Alto Adige, Friuli Venezia Giulia Region (northeast Italy), and some provinces of northern and central Italy. In the rest of the national territory, TB still persists with different prevalence rates: 6.6% in Sicilia, 0.77% in Puglia, and 0.59% in Lazio and Campania. In northern Italy, where about the 70% of the cattle population is reared, TB is still present in the Piedmont (0.4%), Lombardy (0.15%), Veneto (0.1%), and Emilia-Romagna (0.08%) regions. In order to accelerate the achievement of a TB-free status, the authorities in these areas are implementing specific TB control measures, taking into account local situations and problems such as mean distance among herds, trade of animals from other territories, and common pasturing.
In this respect, the origin of TB infection often remains undetermined despite its importance. Molecular typing of isolates has become a valuable tool in the study of M. bovis epidemiology, allowing investigators to better identify the sources of infection and achieve a wider knowledge of TB transmission routes. A genetic profile database collection of M. bovis isolates may help to confirm or reject hypotheses outlined by traditional epidemiological investigations.
Genotyping of M. bovis probably lacks sufficiently informative methods. IS6110 restriction fragment length polymorphism (RFLP) typing has been considered a gold standard method for differentiation of M. tuberculosis strains for a long time; this has provided only limited discrimination among M. bovis populations where the majority of the isolates harbor only one or few IS copies (11). PCR-based spoligotyping (16) has been widely used to genotype M. bovis isolates (11); it is highly reproducible and rapid and represents the first universally recognized typing system for M. bovis populations. However, studies performed on M. bovis isolates in Northern Ireland (32, 33), France (12), Australia, Canada, the Republic of Ireland, and Iran (7) showed a limited discrimination power of this method.
Over the last 10 years several PCR-based genotyping methods have become available for rapid molecular epidemiology investigations. First, six variable-number tandem repeat (VNTR) loci described as exact tandem repeats A through F (ETR-A, -B, -C, -D, -E, and -F) (10) were reported to be more discriminative than spoligotyping. More recently, a novel class of genetic markers, collectively known as MIRU-VNTR, was described; this includes the ETRs, mycobacterial interspersed repetitive units (MIRUs) (36), and VNTRs (22, 29, 32). These markers were evaluated for genotyping M. bovis by using selected panels of field isolates. Different combinations of informative VNTR markers were described by Roring et al. (30), by Skuce et al. (32), by Hilty et al. (13), and by Allix et al. (1). All of these studies highlighted the use of few (ca. five to eight) informative loci to obtain a discrimination power greater than 90%.
In this study, we characterized by spoligotyping and ETR typing 1,560 M. bovis-M. caprae isolates obtained in 747 different herd outbreaks in Italy; this work represents a contribution to a better understanding of the genetics of the M. bovis population present in Italy. In addition, we evaluated the stability, epidemiological significance, and discrimination capacity of 24 MIRU-VNTR loci on a selected panel of 100 strains characterized by spoligotype SB0120, found in more than 50% of the field isolates in our study.
The final aim was to select one or more loci sets for discrimination of locally prevalent M. bovis population containing a different number of informative markers whose complexity depends on the epidemiological studies and investigation requirements.
|
|
|---|
All of the isolates were identified by microbiological methods (23) and by molecular methods described by Kulski et al. (21). Mycobacteria characterized by a spoligotype consistent with M. caprae identification were confirmed by a gyrB PCR/RFLP assay as reported by Kasai et al. (17) and Niemann et al. (25) and/or by the PCRs as described by Huard et al. (14).
M. tuberculosis H37Rv, M. avium ATCC 25291, M. bovis ATCC 19210, M. fortuitum ATCC 6841, M. kansasii ATCC 12478, and M. tuberculosis ATCC 27294 were used as reference strains.
Geographic information system. A total of 498 isolates from the Emilia Romagna, Lombardy, Piedmont, and Veneto Regions were associated with the geographical coordinates of the corresponding herds. Georeferencing was done by the GIS application ArcMap 8.2 (ESRI) format.
DNA preparation. M. bovis strains frozen in tryptic soy broth with 10% glycerol were thawed and cultured on Lowenstein-Jensen or Stonebrink medium (prepared as solid slants in screw-cap tubes) for 3 to 4 weeks at 37°C. For each isolate, four to five colonies were transferred into 500 µl of 1x Tris-EDTA buffer. The suspended colonies were boiled for 15 min in a water bath, and the bacterial lysate was used directly in PCRs.
Spoligotyping. Spoligotyping was performed as described by Kamerbeek et al. (16). The spacer sequences contained in the direct repeat locus were detected by hybridization onto a spoligotyping membrane (Isogen Bioscience BV, Maarssen, The Netherlands).
MIRU-VNTR typing. Twenty-four genomic loci were amplified individually with the primers described in Table 1.
|
View this table: [in a new window] |
TABLE 1. Locus designations and PCR primer sequences used in this study
|
Allele assignation. The reference strain M. tuberculosis H37Rv, M. bovis BCG 27290, and eight M. bovis field isolates from unrelated outbreaks were amplified for the 24 MIRU-VNTR loci, and the PCR fragments were sequenced by using an ABI Prism 3130 instrument (Applied Biosystems). An allele-calling table was designed correlating the amplicon size and the sequences obtained according to previous references (10, 29, 32, 36). Routinely, allele assignation of M. bovis and M. caprae strains was performed on the basis of PCR fragment size and comparison to PCR products from M. tuberculosis H37Rv.
Allelic and genotypic diversity.
The allelic diversity (h) of each VNTR was calculated by using the following equation: h = 1 –
xi2 [(n/n – 1)], where n is the number of isolates and xi is the frequency of the ith allele at the locus (31). The discriminatory power of combined VNTR markers was evaluated by using the equation 1 –
xi2 [(n/n – 1)], where n is the total number of genotypes obtained and xi is the frequency of the ith genotype (15).
Cluster analysis. Spoligotyping and MIRU-VNTR profiles were recorded as character data and analyzed using Bionumerics software (Applied Maths, St-Martin-Latem, Belgium). Dendrograms were generated by using the categorical character option and the UPGMA (for unweighted pair-group method with arithmetic averages) clustering method.
|
|
|---|
A total of 1,560 isolates, collected in 747 outbreaks from 2000 to 2006, were analyzed by these typing techniques. Spoligotyping produced 81 different profiles, which are schematically represented in Fig. 1; they were differentiated in 44 clusters containing 2 to 408 isolates and 37 unique isolates. The genetic diversity provided by this genotyping method was 0.7. The predominant spoligotype was SB0120, named BCG-like by Haddad et al. (12), accounting for 54.6% of the Italian infected herds under study, followed by two spoligotypes at a much lower percentage: SB0134 (5.7%) and SB0841 (4.8%), characterized, respectively, by the lack of spacers 4 to 5 and spacers 6 to 7 in addition to the ones already absent in SB0120. Forty-five isolates (representing 6.0% of the herds) showed spoligotypes consistent with a M. caprae identification: the seven profiles found in this study were characterized by the common lack of spacers 2 to 13, 15, and 28. However, isolates with similar patterns and included in the same cluster (Fig. 1) were identified as M. bovis by molecular assays (see Materials and Methods).
![]() View larger version (84K): [in a new window] |
FIG. 1. Dendrogram and schematic representation of 81 different spoligotypes obtained from the analysis of 747 isolates. Most spoligotypes are clustered in one major BCG-like group of similarity. A divergent group includes M. caprae patterns and similar M. bovis spoligotypes (indicated by asterisks). The dendrogram shows genetic distances and was generated by using the categorical character option and UPGMA clustering method (Bionumerics software). When available, the spligotype code is given.
|
|
View this table: [in a new window] |
TABLE 2. Allelic diversity of individual ETR loci among 747 isolates
|
Geographical distribution of spoligotypes. Figure 2 shows the distribution of the most common M. bovis spoligotypes (SB0120, SB0134, and SB0841) and the presence of M. caprae in the Piedmont, Lombardy, Veneto, and Emilia-Romagna regions. SB0120 is widely distributed with higher prevalence in Piedmont (63% of the outbreaks). With the exception of one cow imported from Germany and directly delivered to a slaughterhouse in Piedmont, M. caprae was found in the Lombardy and Emilia-Romagna regions, mainly clustered in two different genotypes, one involved in eight outbreaks in the Po Valley and the other one in eleven epidemiologically linked outbreaks in the mountain area of Valcamonica (28).
![]() View larger version (50K): [in a new window] |
FIG. 2. Geographical distribution of isolates from the Piedmont, Lombardy, Emilia-Romagna, and Veneto regions of Italy. The most predominant spoligotypes are SB120 (55.4%), SB0134 (5.7%), and SB0841 (4.1%). Thirty strains showed spoligotypes consistent with M. caprae identification.
|
Performance of MIRU-VNTR genotyping on a panel of 100 SB0120 strains. Genotypes characterized by SB0120 and the most frequent ETRs (45533, 54534, 55533, and 54533) were still too prevalent in the bacterial population (10.2, 6.7, 4.8, and 4.5%, respectively). Therefore, the next step was the selection of new markers to improve the discrimination capacity of our typing procedure. Twenty-four MIRU-VNTR markers (Table 1) were thus evaluated on 100 isolates characterized by spoligotype SB0120 and seven ETRA-E patterns: 45533, 55533, 54533, 53533, 54534, 44533, and 43533 (26, 17, 16, 15, 13, 7, and 6 isolates, respectively). The panel represents 60% of the predominant SB0120 spoligotype population. MIRU-VNTR markers further differentiate this panel into 89 profiles with only nine clusters of two to three isolates each, which corresponds to a genotypic diversity of 0.987 (Fig. 3). The isolates included in this study were assumed to be without epidemiological links, but an investigation conducted after the acquisition of the MIRU-VNTR genotype data demonstrated that two of these groups were correlated (Fig. 3). These clusters displayed a fully identical profile by the 24-locus MIRU-VNTR genotyping.
![]() View larger version (41K): [in a new window] |
FIG. 3. Dendrogram and schematic representation of 100 SB0120 M. bovis strains typed for 24 MIRU-VNTR loci. The panel was differentiated into 89 different profiles with 9 clusters only. The dendrogram shows genetic distances and was generated as described in Materials and Methods. *, epidemiologically linked isolates.
|
|
View this table: [in a new window] |
TABLE 3. Allelic diversity at each locus among the 100 SB0120 panel
|
|
View this table: [in a new window] |
TABLE 4. Number of different profiles and genotypic diversity among the 100 SB0120 panel generated by the 24 MIRU-VNTR or different subsets of MIRU-VNTR
|
|
|
|---|
In particular, spoligotyping data have been used to study the structure and diversity of M. bovis populations in France (12) and in the British Isles (34), leading to a better knowledge of the history and distribution of TB in these countries. The Italian situation can be considered intermediate between the British Isles and France, with a predominant spoligotype combined with a considerable number of spoligotype patterns. SB0120 represents 54% of the Italian isolates, similar to the percentage of the predominant spoligotype (SB0140) in Ireland (52%) and Northern Ireland (66%) (34). SB0120 is also the most common spoligotype in France and the second most common one in Spain (6) and is not present United Kingdom or Ireland (34). Similarly, SB0140 is present at a very low level in France and Italy. Although SB0120, together with three other spoligotypes, represents more than 70% of all Italian isolates, we found 81 further spoligotype patterns, 45% of them being found in one isolate only. Moreover, cluster analysis showed that most spoligotypes were included in one major group of similarity (Fig. 1) and that 24 profiles derived from SB0120 by the loss of one spacer only. In conclusion, we might postulate that SB0120 was the founder strain in Italy and that diversification of the other spoligotype patterns occurred later. An important contribution to variability might be the introduction of foreign strains through the considerable import of dairy and fattening cattle, mainly from Central Europe. Alternatively, SB0120 could theoretically define a specific strain lineage with increased ability to escape from skin tests (and the accompanying slaughter protocol), a hypothesis that can now be investigated with new advanced genomic techniques.
Moreover, in the United Kingdom and Ireland M. bovis strains appear to cluster in defined geographical areas. This suggests that sources of infection are stable and local, while in Italy we could not find any evident territorial clustering, based on spoligotypes or ETR-A to -E types (data not shown), the only exception being the M. caprae strains, mostly present in northeast Italy. This geographical localization is consistent with the frequent trade of animals from countries such as Austria and Germany, where this strain is widespread (28). In Italy M. caprae is present in 17 genotypes (spoligotype/ETRs), some of them never reported in central Europe (28) or Spain (5, 6). Few M. caprae strains are present in central and southern Italy, in some cases with unique genetic patterns. Unfortunately, the lack of data coming from southern Italy does not allow us to grasp the real distribution of M. caprae isolates in Italy. Interestingly, five spoligotypes were characterized by the presence of spacer 14, which is rarely found in the M. caprae strains isolated in central Europe, France, and Spain (5, 6, 9, 12, 28). In some strains, the absence of spacer 14 could be due to technical problems of the spoligotype filter, as demonstrated by the different results obtained in two independent laboratories (W. M. Prodinger, unpublished data).
The routine application of spoligotyping and ETR-A to -E typing generated a genotype data collection that is currently used successfully to trace back the infection chains, contiguous herd contacts, or reinfection within the same herd. However, when the M. bovis specific pattern is characterized by the combination of SB0120 with one of the most frequent ETR-A to -E type, more markers are needed. Among the 24 MIRU-VNTR loci tested on 100 SB0120 isolates, the maximal resolution was achieved using a subset of 13 loci (ETR-A, -B, and -E; MIRU 26 and 40; and VNTR 2163a, 2163b, 3155, 1612, 4052, 1895, 3232, and 3336).
For local application, not all of the 13 loci are always required to genotype all of the isolates in any given situation. A restricted set of loci among the 13 could be applied, along with spoligotyping as a first characterization step of all of the isolates and, subsequently, a second locus group could be used, depending on the genotype, as well as on the need to improve epidemiological investigations.
The 100 SB0120 panel is not representative of the genetic complexity of the Italian M. bovis population and the allelic diversity index of individual MIRU-VNTR loci obtained with this panel can be different from that of a population-based evaluation. For example, the allelic diversity of ETR-E varies greatly depending on the population considered, i.e., whole population (0.51), the 400 SB0120 strains isolated in Italy (0.47) or the 100 SB0120 panel (0.25). Therefore, the selection of the studied panel is not representative of the ETR-E allele distribution in the Italian population. Allelic diversity for ETR-B is less variable: values are high in the whole population (0.68), in the 400 SB0120 strains (0.64), and even in the 100 SB0120 selected panel (0.64). Moreover, a locus could have a linkage disequilibrium with SB0120, but it could be very useful in the case of other spoligotypes. On the contrary, the VNTR 3336 showed high allelic diversity with this panel but displays no allelic diversity with M. caprae strains, which always showed two repeats in this locus.
Despite these limitations, it is remarkable that some loci systematically emerge among the most discriminatory markers across distinct bacterial populations. Comparison of our results to those of other studies on optimization of genotyping on isolates from Irish, Chadian, and Belgian cattle (1, 13, 30) shows that ETR-A, ETR-B, MIRU 26, and VNTR 2163a, 2163b, 4052, 3232, and 3336 are also the most discriminating MIRU-VNTR loci selected in these studies.
However, a global marker evaluation should also consider the reproducibility of the amplification product and the stability of the locus itself. Although reproducibility can be assessed only by a ring trial study, stability could be tested on 26 groups of isolates from different animals of the same herd and on three groups of epidemiologically linked outbreaks. In the case of the first set of isolates, we assume that an outbreak in a farm is most often caused by a single source in low-prevalence countries such as Italy. In fact, MIRU-VNTR genotypes were fully conserved within most groups. Four groups of this panel showed SLVs (loci VNTR 2163b, VNTR 4052, VNTR 3232, and VNTR 3336), suggesting the presence of clonal variants. Two clusters of related outbreaks showed two SLVs, each involving ETR-A, VNTR 2163a in the first cluster and VNTR 2163b and VNTR 3336 in the second one. The two variant strains of the first cluster were consistent with an independent TB introduction. On the contrary, in the second cluster all of the epidemiological information pointed to a single source of infection. Therefore, the presence of genotypic heterogeneity in the studied panels suggests a more rapid evolution of markers VNTR 2163b, VNTR 3336, VNTR 3232, and VNTR 4052. Moreover, a source of variation might be the reliability of locus amplification. In our hands, VNTR 3336, VNTR 3232 and, to a lesser extent, VNTR 1895 and VNTR 4056 needed repeated PCR assays in order to obtain a clear interpretable amplification product. In particular, VNTR 3336 is already reported as a hypervariable and inconsistent marker (1, 19, 20). In conclusion, the most discriminative and stable loci identified in this study and in previous studies (1, 13, 30) are ETR-A, ETA-B, MIRU 26, and VNTR 2163a. This group can represent the first core set for M. bovis genotyping in different countries. Further studies are needed for a better evaluation of other eligible loci such as VNTR 3232, 2163b, and 4056.
Many efforts have been made to establish a reference method for a high-resolution genotyping of Mycobacterium tuberculosis strains (2, 3, 26, 35) that could be used for epidemiological and phylogenetic studies and, recently, a standardized MIRU-VNTR set of 15 or 24 loci optionally combined with spoligotyping has been proposed (2). Fewer attempts have been made to find an optimized genotyping method for M. bovis and M. caprae strains, and probably the M. bovis populations in the different countries are too diverse to achieve a consensus set of markers useful in any situation. Recent publications show that historical and economical differences, the application of eradication programs, the presence of wildlife reservoirs, and control measures for other infection diseases can influence the evolution of M. bovis populations and lead to different outcomes (4, 8, 18, 24, 27). However, in a not too distant future genotyping data should be available and comparable at an international level in order to share information and globally understand the spatiotemporal distribution of M. bovis strains.
For the comparison of the typed strains, a possible scenario might be a two-level genotyping analysis including a first consensus set of VNTR markers applied universally and a second set of markers that needs to be empirically determined, depending on the prevalent strains in a given country.
This study was supported by Italian Ministry of Health (projects PRC2001008 and PRC2003014).
Published ahead of print on 14 January 2009. ![]()
|
|
|---|
| |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Copyright © 2009 by the American Society for Microbiology. For an alternate route to Journals.ASM.org, visit: http://intl-journals.asm.org | More Info»