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New epidemic cluster of pre-extensively drug resistant isolates of Mycobacterium tuberculosis Ural family emerging in Eastern Europe



Ural genetic family is a part of the Euro-American lineage of Mycobacterium tuberculosis and is endemic in Northern Eurasia (former Soviet Union [FSU]). These strains were long described as drug susceptible and of low virulence, but recent studies reported an increasing circulation of the multidrug-resistant (MDR) and extensively drug-resistant (XDR) Ural strains. Here, we analyzed all publicly available whole genome sequence data of Ural genotype isolates, in order to elucidate their phylogenomic diversity with a special focus on MDR and potentially epidemic clones.


A total of 149 M. tuberculosis genomes of Ural isolates from FSU countries were mined from the GMTV database and TB-ARC project. We identified 6002 variable amino acid positions that were assessed for functional significance and used to build ML, NJ trees and for Bayesian TMRCA estimation. Three robust monophyletic clades were identified: Clade A (31 isolates from Russia, Belarus, Moldova), Clade B (52 isolates from Russia), and Clade C (37 isolates from Moldova, 2 from Belarus). Clade C was significantly associated with XDR or pre-XDR status compared to the pooled Clades A and B (33/39 versus 5/83, P < 0.0001). Time of origin was estimated for Clade A at 77.7–137 years ago and for Clade B at 56.3–99.2 years ago compared to the significantly more recent origin for Clade C. in silico spoligotyping identified signatures specific of the Clade A (spoligotype SIT35), and Clades B and C (both SIT262).


A genetically compact and evolutionarily young Ural Clade C, likely originated after collapse of the Soviet Union, and reached epidemic proportions in Moldova in the last 20 years. This epidemic pre-XDR clone (mostly rifampin, isoniazid and kanamycin resistant) is characterized by a specific combination of mutations: KatG Ser315Thr, fabG1 -15C > T, RpoB Ser450Leu, RpsL Lys88Arg, eis -12G > A and EmbB Ser297Ala/T > G. Its further dissemination may occur towards both Russia and European Union and should be taken into consideration by health authorities. The identified spoligotyping signatures can serve for rapid preliminary detection and surveillance of the more hazardous pre-XDR associated strains of the Ural family, both in populations from countries of their endemic circulation and migrant communities.


Mycobacterium tuberculosis is a clonal bacterial species with hierarchical population structure made up of 8 phylogenetic lineages (as per current knowledge). The Ural genetic family is a part of the large and heterogeneous Euro-American lineage (lineage 4). The Ural family was initially proposed by variable number tandem repeat (VNTR) analysis [1]. More recently, its characteristic spoligotyping signature [2] and specific single nucleotide polymorphism (SNP) in the Rv1811 gene [3] were described.

Phylogeographically, the Ural family is mainly circumscribed to Northern Eurasia, i.e. Russian Federation and countries of the former Soviet Union (FSU), with sporadic isolates found elsewhere [4, 5]. In Russia, the prevalence of the Ural genotype was reported at 5–12% [4] and it has long been of less public health concern compared to regionally common Beijing and LAM families [2, 4]. Compared to the Beijing genotype, Ural strains were shown less virulent both in experimental models [6], and based on study of autopsy samples of patients that died from tuberculosis (TB) [7]. Regarding drug resistance, meta-analysis of studies from former Soviet Union demonstrated a significantly decreased odds of being multidrug-resistant (MDR) for Ural compared to the Beijing strains (P < 0.00001; pooled OR 0.22; 0.11–0.41) [5]. However, more recent studies from different parts of Eastern Europe (Moldova, Lithuania, northwestern Russia) reported an increasing circulation of MDR Ural strains with concern for further amplified resistance, such as pre-extensively or extensively drug-resistant (pre-XDR, XDR) ([5, 8, 9], and references therein).

Due to its limited circulation beyond Russia and the previously believed “less-hazardous” pathogenic profile, no large-scale genomic studies have specifically focused on these strains to date. Here, we analyzed the publicly available whole genome sequencing (WGS)/next generation sequencing (NGS) data of the Ural genotype isolates, in order to elucidate the phylogenetic diversity of this family with special focus on the potentially epidemic and MDR clonal groups. In addition, we sought to identify a robust spoligotyping signature of the main phylogenetic clades within the Ural family.


WGS insight into Ural family: Clustering and drug resistance

The study collection included WGS/NGS data of 149 M. tuberculosis Ural family isolates from Russia, Belarus and Moldova whose analysis identified 6002 variable amino acid positions that were used to build the phylogenetic ML-tree (Fig. 1, Additional file 1: Table S1, Additional file 2, Additional file 3). The shaded parts on the dendrogram depict three robust clades: Clade A (23 isolates from Russia, 3 from Moldova, 5 from Belarus), Clade B (52 isolates from Russia), and Clade C (37 isolates from Moldova and 2 from Belarus) (Fig. 1). Clades were defined based on the most basal branch with double support by bootstrap test with 100 iterations (0–100) and fast likelihood-based distance method in 1000 iterations (0 to 1) (Additional file 2: Figure S1). Accordingly, the strains without double support were defined as ‘out-of-clade’ strains and were excluded from further analysis. It may be noted that 57% of these out-of-clade strains were MDR (Table 1, Additional file 1: Table S1) and are likely related to Clades B or C. Comparison of the three clades with regard to the MDR properties revealed an overwhelming MDR prevalence at 94.9% in the Clade C and the lowest MDR prevalence in the Clade A (Table 1, Additional file 1: Table S1). An intermediate MDR prevalence was found in the Clade B and out-of-clade strains.

Fig. 1
figure 1

ML consensus phylogenetic tree of 149 M. tuberculosis Ural family strains (CAS family strain was used as outgroup) based on 6002 genome-wide variable amino acid positions. Strain designation includes consecutive number (Additional file 1: Table S1), country of origin, drug resistance. Abbreviations: RU – Russia, MD – Moldova, BY – Belarus, MDR – multidrug resistance, H – isoniazid resistant, E – ethambutol resistant, S – streptomycin resistant, P - pyrazinamide resistant, sus – susceptible, # - pre-XDR, ## - XDR. *- genotypic resistance profile confirmed by phenotypic data (when available at GMTV database The CAS strain was used as outgroup under phylogenetic analysis; it did not have any drug resistance mutation

Table 1 Distribution of drug resistance among phylogenetic clades of the Ural family

Additional analysis of the mutations associated with resistance to the second-line drugs permitted us to genotypically assess MDR strains as having further potential resistance: pre-XDR or XDR (Additional file 1: Table S2). In total, 7 isolates were XDR and 40 were pre-XDR. Of those latter, 38 were pre-XDR due to additional resistance to the injectable aminoglycoside (mostly kanamycin) and 2 were pre-XDR due to resistance to fluoroquinolones. The data on phenotypic 2nd line drugs resistance profile were scarce for the studied strains and were available only for some isolates in the GMTV database. For this reason, we did not compare phenotypic versus genotypic resistance to 2nd line drugs for XDR and pre-XDR strains.

XDR strains can be found in different parts of the dendrogram and were not associated with any clade (Fig. 1). In contrast, Clade C consisted predominantly of pre-XDR isolates (33/39) and all of them were from Moldova. Comparison of the three clades revealed a significant association with XDR or pre-XDR status of the Clade C compared to pooled Clades A and B (33/39 versus 5/83, P < 0.0001; OR 84.7 95% CI: 24.1 to 297.1).

A closer look into molecular basis of drug resistance (Table 2, Additional file 4) revealed that katG315, associated with high level isoniazid resistance and rpoB450 (rpoB531 according to E. coli numbering system), associated with rifampin resistance, were the most frequent in all clades. As for streptomycin resistance, the most frequently globally mutated rpsL43 was however found in minority of isolates. In contrast, there was an increasing trend of prevalence of the rpsL88 mutation from Clade A to Clade C.

Table 2 Prevalence of mutations in different clades of the Ural genotype

On a whole, Clade C, consisting mainly of isolates from Moldova, was marked by the peculiar combination of drug resistance mutations. While some of them are known to be globally prevalent overall (rpoB450, katG315, inhA − 15), some other mutations were less frequently (rpsL88, a gene associated with streptomycin resistance and eis -12G > A, a promotor region associated with kanamycin resistance) or rarely (EmbB Ser297Ala, embA -16C > T, genes associated with ethambutol resistance) described. On the example of the very homogeneous and apparently recently emerged group that we have thus named as ‘Clade C sensu stricto’ (only isolates from Moldova) it is possible to observe a stepwise pattern of acquisition of mutations (Additional file 4). Thus all 33 these isolates have the following mutations: KatG S315 T/C > G, fabG1 -15C > T, RpoB Ser450Leu/C > T, RpsL Lys88Ar/ A > G, eis -12G > A. In addition, 29 of 33 have further acquired EmbB Ser297Ala/T > G, and 8 more isolates - embA -16C > T (8 isolates). Finally, 7 different mutations in pncA (the gene associated with the majority of phenotypic resistance to pyrazinamide) were found in 11 isolates. Interestingly, eis -12G > A mutation was found not only in all 33 ‘Clade C sensu stricto’ isolates but also in 7 more isolates found across other parts of the tree. On the other hand, EmbB Ser297Ala/T > G and embA -16C > T were found exclusively in this branch.

After these findings related to the identified Ural clades, we sought to additionally examine other available Ural genomes from Iran and Romania. We found that two Iranian Ural strains had identical resistance mutations EmbB Ser366Pro, GyrA Asp94Gly, and RpoB Gln436Leu. On the other hand, 4 of 5 Romanian Ural isolates were genotypically drug susceptible while 1 isolate was isoniazid-resistant due to katG Asp311Glu mutation. Thus, Ural isolates from Iran and Romania did not bear any resistance mutation found among Ural strains in Clade C. A cluster analysis based on vcf files provided by the Broad institute revealed that strains from Iran and Romania clustered into two separate branches and both were beyond isolates from FSU (not shown).

WGS insight into Ural family: Phylogenomics

Testing different models of amino acid substitutions revealed the JTT + G model with gamma correction g = 0.802 to be the best one. The BIC value for this model was 317,852.64. In the list of models available in the BEAST v.1.8.2 program, the JTT + G model with BIC 322153.12 was the closest to the best fit model and was thus retained for further NJ and Bayesian analysis.

The interclade distances (Fig. 2) were compared for significance using Wilcoxon-Mann-Whitney test (Table 3). This analysis demonstrated a significant difference between Clades C vs B and C vs A. Thus nonsynonymous nucleotide amino acid sequences in different clades had acquired a different number of substitutions since the most recent common ancestor. This suggests that strict molecular clocks are not suitable for phylogenetic reconstruction due to different mutation rate in the identified Ural clades.

Fig. 2
figure 2

Distribution of distances between amino acid and nucleotide sequences in three Ural clades

Table 3 Pairwise clade comparison by Wilcoxon-Mann-Whitney test

Accordingly, we used a Lognormal relaxed clock model for Bayesian phylogenetic analysis with BEAST. The effective sample size (ESS Statistics) was determined to be from 421.5 to 1367.9, i.e. exceeded the significance threshold of 200. All three clades with respective strain content remained unchanged in the Bayesian phylogenetic tree correlating with ML and NJ trees (Fig. 1, Additional file 2). This reconfirms the robustness of the above analysis and monophyletic nature of these clades.

Mean mutation rate in M. tuberculosis was previously estimated to range from 0.21 × 10− 8 to 5.97 × 10− 8 per nucleotide per year [10]. We used this estimation to assess time of the clade divergence with 95% CI that resulted in TMRCA from ten to 300 years. To reduce uncertainty, we assumed that the most recent Clade C dominated by strains from Moldova, originated 25 years ago, coinciding with the collapse of the Soviet Union and establishment of the independent Republic of Moldova. Based on this assumption, time of origin was estimated for Clade B 56.3–99.2 years ago, and for Clade A 77.7–137 years ago.

Spoligotyping signatures of the Ural clades

We performed in silico spoligotyping of the NGS data and compared the obtained profiles to the WGS dendrogram (Additional file 5). Low sequencing depth of the CRISPR locus prevented reliable reconstruction of spoligotyping profiles of some isolates. Nonetheless, it was possible to identify specific signatures (i.e. deleted signals) for particular clades. In particular, mainly drug susceptible Clade A correlates with SIT35 and derived profiles, while mainly or overwhelmingly MDR Clades B and C correlate with SIT262 and derived profiles. The Ural founding spoligotype SIT777 was identified in a single strain (Additional file 5); it is equally distant from all clades which underlines its ancestral position as Ural prototype spoligoprofile. When calculated for isolates with available spoligotypes, the rate of MDR strains in SIT262 (and derived profiles) was significantly higher than in SIT35 (and derived profiles): 50/96 vs 5/24 (P = 0.009; OR 4.13 [95% CI: 1.42–1.96]).


The present study focused on the underestimated genetic family of M. tuberculosis, the Ural genotype, which has been increasing in circulation in some parts of Eastern Europe, including northwestern Russia, and has furthermore been accompanied by amplifying drug resistance. The availability of the large NGS dataset permitted us to gain insight into both distant evolutionary history and current epidemiology of this family.

The reconstruction of evolutionary history of the phylogenetic lineages and clones including dating their origin and hallmark events is not a straight and smooth highway. This analysis should combine rigorous computation and common sense and take into consideration the bottleneck events that could have led to extinction of the first parental strain. Consequently, the estimated timing is based on coalescence analysis of extant lineages and thus presents TMRCA of these extant lineages [11]. In this view, seemingly contrasting results are not contradictory but just address different questions: origin of the first strain in the lineage (that may be extinct) versus origin of the currently predominant circulating strains. For example, RD-Rio sublineage within the Latin American Mediterranean family could have originated in West Africa but its epidemic circulation and primary dispersal started in Brazil [12]. Thus the Ural family was estimated to originate in the area north of the Black Sea > 1800 years ago [4, 5, 13] and this dating seems at odds with our estimation of 150–300 years ago. However only a single strain with prototype Ural spoligotype SIT777 was available in the studied dataset and consequently the estimated time is TMRCA of the currently circulating and derived clades, Clade A (SIT35) and Clades B and C (SIT262). An active circulation of the older Clades A and B may have started at the end of the nineteenth century and for some reason both may have become predominant compared to the prototype and other hypothetical sister clades within Ural. Similar is the situation with the well-known Beijing genotype that includes ancient strains (genetically more diverse, less numerous) compared to globally widespread modern Beijing sublineages. In its turn, some more epidemiologically or clinically relevant clusters have emerged within the modern Beijing strains and their clinical relevance have been demonstrated in spinal TB [9] or TB-HIV co-infected patients [14, 15].

Regardless of the definitive TMRCA estimation, in relative terms Clade C is the least diverse and the evolutionarily youngest group (Fig. 1, Fig. 2). On the other hand, two “older” Clades A and B have overlapping confidence intervals (Fig. 2) and it was not possible to reliably decide which of them originated earlier. We hypothesize that both Clades A and B started their circulation within the same time period, likely at the end of the 19th – beginning of the twentieth century, coinciding with or fueled by accelerated industrialization in the Russian Empire. Based on comparison with in silico spoligotyping profiles, it also appears that Clades A and B emerged at approximately the same time within nearly extinct parental population and followed different courses of evolution with regard to acquisition of MDR. On the other hand, the most recent clade C originated within the larger population of the Clade B (as both of them share a SIT262 signature).

It should be noted that all resistance mutations were identified as such according to the TB Profiler database [16] and also described in other resources. However, the prevalence of such mutations and their capacity to confer high-level resistance is different. In the most recent large study of > 6000 isolates [16], both promoter mutations eis -12G > A and embA -16C > T were defined as high frequency (> 10 isolates) while EmbB Ser297Ala was not described at all. In the large earlier study, embA -16C > T mutation was described as conferring ethambutol resistance at 10–40 μg/ml and found in 2/75 ethambutol-resistant isolates, but it co-occurred with other embCAB mutations [17]. In the same study, embB297 mutation was described in 1/75 ethambutol-resistant strains and it was not accompanied by other embCAB mutations. Both of these mutations were in strains from Russian migrants in USA. EmbB Ser297Ala is included in PHYRESSE online tool but is not labeled as high-confidence SNP for ethambutol resistance.

Beyond pre-XDR mutations found in Clade C, the additional finding of mutations in rpoC is also noteworthy. Mutations in rpoA and rpoC, while not associated with rifampin resistance, are rather known to confer compensatory mechanisms for the otherwise reduced fitness cost of major rpoB mutations [18]. One such mutation RpoC Asp485Asn was found in 11 isolates in the studied collection. While 7 of these isolates made a compact cluster within the intermediate Clade B, 4 other were different and found in distant out-of-clade isolates. All 11 isolates with RpoC Asp485Asn were MDR, of them 1 was pre-XDR, and 1 was XDR.

An independent occurrence of putative resistance mutations (eis -12G > A, RpoC Asp485Asn) in different phylogenetic branches suggests their true causative link with resistance/adaptation. Relatedly, eis -12 T mutant allele was shown in a transduction model to confer resistance to kanamycin (but not to amikacin or capreomycin ([19], and Suporn Pholwat, personal communication). However, a geographic variation of such mutations also influenced by the genetic background of the strain, may also occur. For example, rpoC485 mutations were not described in the Chinese study dominated by the Beijing genotype strains [20]. On the other hand, this RpoC Asp485Asn was described by Comas et al. [18] in Beijing isolates in high MDR-TB burden areas in the Former Soviet Union (Georgia, Kazakhstan, Uzbekistan), and was defined as a “high-probability compensatory mutation.”


A genetically compact clone of the M. tuberculosis Ural family marked with a particular combination of drug resistance mutations (KatG Ser315Thr, fabG1 -15C > T, RpoB Ser450Leu, RpsL Lys88Arg, EmbB Ser297Ala/T > G and eis -12G > A) emerged and reached pre-XDR status and epidemic proportions in Moldova in the last 20–25 years. The absence of this Clade C in Russia (at least in the studied NGS dataset) may be explained by its recent emergence. The wider dissemination of this potentially epidemic pre-XDR clone beyond Moldova may take place towards both Russia and European Union thus leading to increase of primary MDR-TB (in patients without a prior history of anti-TB treatment) and should be taken into consideration by their health authorities.

However, the combination of mutations specific of the Ural ‘Clade C sensu stricto’ (KatG S315 T/C > G, fabG1 -15C > T, RpoB Ser450Leu/C > T, RpsL Lys88Ar/ A > G, eis -12G > A) cannot serve alone for reliable identification of this pre-XDR group. EmbB Ser297Ala was identified in two Ural strains from Russia in this study while embA -16C > T was detected in four Beijing genotype isolates in GMTV database. They are not neutral mutations. Overall, some of them are well-known and frequent (rpoB450 = rpoB531, katG31, inhA − 15), some other are less frequent (eis − 12, embB297) and it is possible that such mutations may be selected in other Ural isolates beyond Clade C and in other phylogenetic lineages of M. tuberculosis. Therefore, we would rather caution against using resistance mutations as markers of phylogenetic clades. Speculatively, this combination of mutations may be regarded in the context of their hypothetical epistatic interaction and future studies are warranted.

The WGS implemented within the personalized medicine approach represents the current state of practice for many developed countries and an aspirational technology for other settings. As such, WGS is not likely to be totally implemented at the global scale or for individualized patient care in the near future. Therefore, availability of a molecular signature for highly drug-resistant and epidemiologically relevant M. tuberculosis clones using non-expensive and simpler methodologies remains desirable. In this view, SIT35 and SIT262 may serve as useful proxies for rapid preliminary detection and surveillance of the less and more hazardous branches, respectively, of the Ural family, both in the countries of their endemic circulation and in migrant communities.


M. tuberculosis strains/genomes

The genomes of the M. tuberculosis Ural family strains were searched in the GMTV database [21] and in genomes downloaded from TB-ARC project ( Specific mutations in Rv1811 and Rv0684 previously described by Homolka et al. [3] and Coll et al. [22], respectively, served as Ural family SNP markers. The whole genome short sequencing reads were downloaded from Sequence Read Archive (NCBI NIH, USA) as sra files and converted to fastq format by fastq-dump program (ver. 2.4.0) (SRA Toolkit, NCBI NIH, USA).

As a result, 156 Ural family genomes were identified. Further analysis was performed on 149 Ural family isolates from FSU countries (Additional file 1: Table S1) while Ural family samples from Romania (n = 5) and Iran (n = 2) were not included due to small sample size.

Bioinformatics analysis

Short reads were mapped to the reference genome of M. tuberculosis H37Rv (NC_000962) [23] by using the Burrows-Wheeler Aligner v. 0.7.12 [24]. Single nucleotide polymorphism (SNP) calling was performed by SAMtools v.0.1.19 [25]. Variable call format (vcf) files were annotated by snpMiner2 v.2 [26]. Multiple alignment sequences were made by Mafft v.7 [27]. Drug resistance mutations were taken from Tuberculosis Drug Resistance Mutation Database [28] and from TB Profiler database ( MDR, pre-XDR and XDR phenotypes were defined according to the World Health Organization definitions [29]: MDR are strains resistant to isoniazid and rifampicin; XDR - resistant to isoniazid, rifampicin, fluoroquinolone, and a second-line injectable agent; pre-XDR - resistant to isoniazid, rifampicin and either a fluoroquinolone or a second-line injectable agent.

For GMTV strains, genotypically deduced drug resistance was compared with phenotypic profile when available (Fig. 1, Additional file 1: Table S1).

Information on the functional category of genes was taken from TubercuList ( and M. tuberculosis H37Rv gene list [30].

ProTest v. 3.2 program [31] served to select model of acquisition of amino acid substitutions in order to calculate genetic distances. Preliminary phylogenetic reconstruction and delineation of stable clades were performed by PhyML 3.0 [32] based on maximum likelihood (ML) algorithm. Mann-Whitney-Wilcoxon criterion [33] was used to test for significant difference between clades. NJ algorithm with bootstrap analysis [34] additionally served to assess robustness of the phylogenetic reconstruction and topology of the dendrogram. Bayesian phylogenetic analysis with molecular clock was done with BEAST v.1.8.2 [35]. jModelTest 2.2.7 program [36] was used to select the model of nucleotide substitutions using Bayesian information criterion (BIC). The amino acid sequence of the total proteome of the CAS (Central-Asian family) strain with accession number #ERR233347 was used as outgroup for building the phylogenetic tree as the most distant isolate with regard to the Ural family. The strict or relaxed molecular clock models were selected based on testing significant differences between amino acid based distances between outgroup and Ural clades. Mann-Whitney-Wilcoxon criterion [33] was used to test for significant difference.

Lognormal relaxed clock was used in the BEAST analysis. The MCMC results were examined with Tracer 1.8.2. The consensus tree was built with Tree Annotator while the first 15.3% of saved trees were discarded as burn-in.

The R package [37] was used for statistical analysis and visualization of distribution of distances. MEGA version 6.0 program [38] was used for previous phylogenetic analysis of the polymorphic loci and groups p-distances. Graphical presentation of trees was done using TreeGraph [39] and iTOL v3 [40].

The in silico spoligotyping was performed on short sequencing reads using SpoTyping program ( [41].



Bayesian information criterion


Former Soviet Union




Maximum likelihood


Next generation sequencing


Single nucleotide polymorphism




Time to most recent common ancestor


Variable number of tandem repeats


Whole genome sequencing


Extensively drug-resistant


  1. Kovalev SY, Kamaev EY, Kravchenko MA, Kurepina NE, Skorniakov SN. Genetic analysis of Mycobacterium tuberculosis strains isolated in Ural region, Russian Federation, by MIRU-VNTR genotyping. Int J Tuberc Lung Dis. 2005;9(7):746–52.

    CAS  PubMed  Google Scholar 

  2. Ogarkov OB, Medvedeva TV, Zozio T, Pogorelov VI, Necipelov OM, Gutnikova MY, Kuptsevich NY, Ushakov IV, Sola C. Molecular typing of the tuberculosis strains in Irkutsk region (East Siberia) in 2000-2005. Mol Med. 2007;2:33–8 (in Russian).

    Google Scholar 

  3. Homolka S, Projahn M, Feuerriegel S, Ubben T, Diel R, Nübel U, Niemann S. High resolution discrimination of clinical Mycobacterium tuberculosis complex strains based on single nucleotide polymorphisms. PLoS One. 2012;7(7):e39855.

    Article  CAS  Google Scholar 

  4. Mokrousov I. The quiet and controversial: Ural family of Mycobacterium tuberculosis. Infect Genet Evol. 2012;12(4):619–29.

    Article  Google Scholar 

  5. Mokrousov I. Mycobacterium tuberculosis phylogeography in the context of human migration and pathogen’s pathobiology: insights from Beijing and Ural families. Tuberculosis (Edinb). 2015;95(Suppl 1):S167–76.

    Article  Google Scholar 

  6. Andreevskaia SN, Chernousova LN, Smirnova TG, Larionova EE, Kuzmin AV. Impact of M tuberculosis genotype on survival in mice with experimental tuberculosis. Probl Tuberk Bolezn Legk. 2007;7:45–50 (in Russian).

    Google Scholar 

  7. Ogarkov O, Mokrousov I, Sinkov V, Zhdanova S, Antipina S, Savilov E. ‘Lethal’ combination of Mycobacterium tuberculosis Beijing genotype and human CD209 -336G allele in Russian male population. Infect Genet Evol. 2012;12:732–6.

    Article  Google Scholar 

  8. Crudu V, Romancenco E, Noroc E, Alexandru S, Niemann S, Lange C, Garfein R, Catanzaro A. Beijing and H4/Ural genotypes of M tuberculosis are predominating among M/XDR-TB patients in Moldova. Int J Tuberc Lung Dis. 2014;18:S157.

    Google Scholar 

  9. Vyazovaya A, Mokrousov I, Solovieva N, Mushkin A, Manicheva O, Vishnevsky B, Zhuravlev V, Narvskaya O. Tuberculous spondylitis in Russia and prominent role of multidrug-resistant clone Mycobacterium tuberculosis Beijing B0/W148. Antimicrob Agents Chemother. 2015;59:2349–57.

    Article  CAS  Google Scholar 

  10. Kay GL, Sergeant MJ, Zhou Z, Chan JZ, Millard A, Quick J, Szikossy I, Pap I, Spigelman M, Loman NJ, et al. Eighteenth-century genomes show that mixed infections were common at time of peak tuberculosis in Europe. Nat Commun. 2015;6:6717.

    Article  Google Scholar 

  11. Smith NH, Hewinson RG, Kremer K, Brosch R, Gordon SV. Myths and misconceptions: the origin and evolution of Mycobacterium tuberculosis. Nat Rev Microbiol. 2009;7(7):537–44.

    Article  CAS  Google Scholar 

  12. Perdigão J, Silva H, Machado D, Macedo R, Maltez F, Silva C, Jordao L, Couto I, Mallard K, Coll F, et al. Unraveling Mycobacterium tuberculosis genomic diversity and evolution in Lisbon, Portugal, a highly drug resistant setting. BMC Genomics. 2014;15:991.

    Article  Google Scholar 

  13. Refrégier G, Abadia E, Matsumoto T, Ano H, Takashima T, Tsuyuguchi I, Aktas E, Cömert F, Gomgnimbou MK, Panaiotov S, et al. Turkish and Japanese Mycobacterium tuberculosis sublineages share a remote common ancestor. Infect Genet Evol. 2016;45:461–73.

    Article  Google Scholar 

  14. Balabanova Y, Nikolayevskyy V, Ignatyeva O, Kontsevaya I, Mironova S, Kovalyov A, Kritsky A, Rodionova Y, Fedorin I, Casali N, et al. Beijing clades of Mycobacterium tuberculosis are associated with differential survival in HIV-negative Russian patients. Infect Genet Evol. 2015;36:517–23.

    Article  Google Scholar 

  15. Pasechnik O, Vyazovaya A, Vitriv S, Tatarintseva M, Blokh A, Stasenko V, Mokrousov I. Major genotype families and epidemic clones of Mycobacterium tuberculosis in Omsk region, Western Siberia, Russia, marked by a high burden of tuberculosis-HIV coinfection. Tuberculosis (Edinb). 2018;108:163–8.

    Article  Google Scholar 

  16. Coll F, Phelan J, Hill-Cawthorne GA, Nair MB, Mallard K, Ali S, Abdallah AM, Alghamdi S, Alsomali M, Ahmed AO, et al. Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis. Nat Genet. 2018;50(2):307–16.

    Article  Google Scholar 

  17. Ramaswamy SV, Amin AG, Göksel S, Stager CE, Dou SJ, El Sahly H, Moghazeh SL, Kreiswirth BN, Musser JM. Molecular genetic analysis of nucleotide polymorphisms associated with ethambutol resistance in human isolates of Mycobacterium tuberculosis. Antimicrob Agents Chemother. 2000;44(2):326–36.

    Article  CAS  Google Scholar 

  18. Comas I, Borrell S, Roetzer A, Rose G, Malla B, Kato-Maeda M, Galagan J, Niemann S, Gagneux S. Whole-genome sequencing of rifampicin-resistant Mycobacterium tuberculosis strains identifies compensatory mutations in RNA polymerase genes. Nat Genet. 2011;44(1):106–10.

    Article  Google Scholar 

  19. Pholwat S, Stroup S, Heysell S, Ogarkov O, Zhdanova S, Ramakrishnan G, Houpt E. eis promoter C14G and C15G mutations do not confer kanamycin resistance in Mycobacterium tuberculosis. Antimicrob Agents Chemother. 2016;60(12):7522–3.

    CAS  PubMed  PubMed Central  Google Scholar 

  20. Li QJ, Jiao WW, Yin QQ, Xu F, Li JQ, Sun L, Xiao J, Li YJ, Mokrousov I, Huang HR, et al. Compensatory mutations of rifampin resistance are associated with transmission of multidrug-resistant Mycobacterium tuberculosis Beijing genotype strains in China. Antimicrob Agents Chemother. 2016;60(5):2807–12.

    Article  CAS  Google Scholar 

  21. Chernyaeva EN, Shulgina MV, Rotkevich MS, Dobrynin PV, Simonov SA, Shitikov EA, Ischenko DS, Karpova IY, Kostryukova ES, Ilina EN, et al. Genome-wide Mycobacterium tuberculosis variation (GMTV) database: a new tool for integrating sequence variations and epidemiology. BMC Genomics. 2014;15(1):308.

    Article  Google Scholar 

  22. Coll F, McNerney R, Guerra-Assunção JA, Glynn JR, Perdigão J, Viveiros M, Portugal I, Pain A, Martin N, Clark TG. A robust SNP barcode for typing Mycobacterium tuberculosis complex strains. Nat Commun. 2014;5(1):4812.

    Article  CAS  Google Scholar 

  23. Lew JM, Kapopoulou A, Jones LM, Cole ST. TubercuList - 10 years after. Tuberculosis (Edinb). 2011;91(1):1–7.

    Article  Google Scholar 

  24. Li H, Durbin R. Fast and accurate short read alignment with burrows-wheeler transform. Bioinformatics. 2009;25(16):1754–60.

    Article  CAS  Google Scholar 

  25. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. The sequence alignment/map (SAM) format and SAMtools. Bioinformatics. 2009;25:2078–9.

    Article  Google Scholar 

  26. Sinkov V. Snpminer 2 v02-alpha Zenodo. 2015.

  27. Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30(4):772–80.

    Article  CAS  Google Scholar 

  28. Sandgren A, Strong M, Muthukrishnan P, Weiner BK, Church GM, Murray MB. Tuberculosis drug resistance mutation database. PLoS Med. 2009;6(2):e1000002.

    Article  Google Scholar 

  29. WHO Global Tuberculosis Report 2014 WHO/ HTM/ TB/ 201408.

  30. Camus JC, Pryor MJ, Médigue C, Cole ST. Re-annotation of the genome sequence of Mycobacterium tuberculosis H37Rv. Microbiology. 2002;148(Pt 10):2967–73.

    Article  CAS  Google Scholar 

  31. Darriba D, Taboada GL, Doallo R, Posada D. ProtTest 3: fast selection of best-fit models of protein evolution. Bioinformatics. 2011;27:1164–5.

    Article  CAS  Google Scholar 

  32. Guindon S, Gascuel O. A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst Biol. 2003;52(5):696–704.

    Article  Google Scholar 

  33. Bauer DF. Constructing confidence sets using rank statistics. J Am Stat Assoc. 1972;67:687–90.

    Article  Google Scholar 

  34. Saitou N, Nei M. The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol. 1987;4:406–25.

    CAS  PubMed  Google Scholar 

  35. Drummond AJ, Rambaut A. BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007;7(1):214.

    Article  Google Scholar 

  36. Darriba D, Taboada GL, Doallo R, Posada D. jModelTest 2: more models, new heuristics and parallel computing. Nat Methods. 2012;9(8):772.

    Article  CAS  Google Scholar 

  37. R Core Team R: A language and environment for statistical computing R Foundation for Statistical Computing, Vienna, Austria 2013 ISBN 3–900051–07-0 URL:

  38. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: molecular evolutionary genetics analysis version 6. Mol Biol Evol. 2013;30:2725–9.

    Article  CAS  Google Scholar 

  39. Stöver BC, Müller KF. TreeGraph 2: combining and visualizing evidence from different phylogenetic analyses. BMC Bioinformatics. 2010;11:7.

    Article  Google Scholar 

  40. Letunic I, Bork P. Interactive tree of life (iTOL) v3: an online tool for the display and annotation of phylogenetic and other trees. Nucleic Acids Res. 2016;44(W1):W242–5.

    Article  CAS  Google Scholar 

  41. Xia E, Teo YY, Ong RT. SpoTyping: fast and accurate in silico Mycobacterium spoligotyping from sequence reads. Genome Med. 2016;8:19.

    Article  Google Scholar 

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VS, OO, IM, SZ are partially supported by RFBR-NIH grant # 17–54-30020; SKH is partially supported by NIH grant 5U01AI115594–04.

Availability of data and materials

Datasets analyzed for this study are available in Additional file 1: Table S1.

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Authors and Affiliations



OO, VS: Initial conceptual and experimental design of the study. VS, YB: bioinformatics analysis; VS OO IM YB SZ SKH: Interpretation of data, key discussions on principle findings, and preparation of tables, figures and their legends. OO, IM, SKH: manuscript writing and editing. All authors read and approved the final manuscript.

Corresponding authors

Correspondence to Oleg Ogarkov or Igor Mokrousov.

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IM is Section Editor in a BMC Series journal (BMC Microbiology). Other authors declare that they have no competing interests.

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Additional files

Additional file 1:

Table S1. Information on 149 M. tuberculosis Ural strains included in this study. Strain ID, drug susceptibility, country of isolation, Ural clades, Accession number, MDR associated mutations in katG, rpoB, inhA, embB. Table S2. Genotypic drug resistance profiles and mutations in the studied Ural strains. Strains are grouped in the same order as in Additional file 4: Figure S3 and Additional file 5: Figure S4, and the same color code for clades apply. (XLSX 26 kb)

Additional file 2:

Figure S1. ML consensus phylogenetic tree of 149 M. tuberculosis Ural family and one CAS genomes based on genome-wide 6002 variable amino acid positons and tested for robustness by bootstrap test in 100 iterations (from 0 to 100) and fast likelihood-based distance method in 1000 iterations (from 0 to 1). Strain designation includes consecutive strain number (Additional file 1: Table S1), country of origin, drug resistance. (PDF 954 kb)

Additional file 3:

Figure S2. Venn diagram of clade-unique and clade-shared amino acid substitutions. (PPTX 146 kb)

Additional file 4:

Figure S3. WGS-based dendrogram of the Ural strains with added resistance profiles and mutations (see also Additional file 1: Table S2). (PPTX 2084 kb)

Additional file 5:

Figure S4. WGS-based dendrogram of the Ural strains with added spoligotyping profiles. SIT – spoligotype international type according to SITVIT_WEB. Spoligotype signatures specific of the entire Ural family and its specific clades are shown in different colors. (PPTX 2071 kb)

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Sinkov, V., Ogarkov, O., Mokrousov, I. et al. New epidemic cluster of pre-extensively drug resistant isolates of Mycobacterium tuberculosis Ural family emerging in Eastern Europe. BMC Genomics 19, 762 (2018).

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